ISSN: 2310-2799
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636,460 artículos
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Año:
2025
ISSN:
1688-8626, 1510-5091
Finol, José Enrique
Universidad ORT Uruguay
Resumen
This article offers a semiotic analysis structured around three main themes: first, a brief reference to certain anthroposemiotic processes associated with coins; second, an inventory of the main semiotic features related to monetary discourse; and finally, the development of a proposal I will refer to as the desertification of the heroic face, framed within the semioeconomic processes linked to the phenomena of dollarization, which have become particularly relevant in some Latin American countries. The analysis will draw on examples of monetary processes, with special attention to the cases of Ecuador and Venezuela.
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Año:
2025
ISSN:
1688-8626, 1510-5091
Fernández, Mariano; Dalmolin, Aline
Universidad ORT Uruguay
Resumen
Hay un manierismo intelectual encarnado como hábito que, para pensar las sociedades en que vivimos tomando como eje la presencia de Internet, nos induce a plantear nuestras inquietudes señalando la dirección de una influencia: ¿cómo cambió nuestro mundo a partir de Internet? O, lo que es lo mismo, ¿cómo nos cambió Internet?
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Año:
2025
ISSN:
2007-1558
Pacheco Serrano, Julio Noel; Porras Martínez, Alan Alonso; Zamora Perez, Carlos Daniel; Trejo Olguin, José Jaime; Angeles Lopez, Adael Amaury; Gutiérrez Moreno, Evelin; Hernández Hernández, Amadeo Manuel
Editorial Académica Dragón Azteca
Resumen
An automatic temperature control system is an important application used in almost all modern gadgets, smart homes and industries; however, there are almost no available prototypes to practise with, and the ones that do exist cost more than an average student in Mexico can afford. This project is based on the implementation of a digital PID controller, realised through widely studied mathematical concepts, applied to a fan that blows air into an enclosed area housing an incandescent bulb, thereby controlling the internal temperature. A Kalman filter was used to reduce the thermocouple noise. The performance of the controller was tested by observing its ability to maintain the desired temperature setpoint steadily. This test highlighted the PID controller’s ability to reach and maintain the desired temperature, validating its effectiveness as both an educational tool and a method of control for industrial applications.
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Año:
2025
ISSN:
2007-1558
Barrera-Cámara, Ricardo A.; Alejandro Fuentes-Penna, Alejandro; Sánchez-Martínez, Fernando E.; Canepa-Sáenz, Ana; Torres González, Miguel Ángel
Editorial Académica Dragón Azteca
Resumen
The application of artificial intelligence (AI) in education is analyzed, focusing on how various models and algorithms can predict and improve academic performance, in line with the Sustainable Development Goals (SDGs). A documentary and comparative approach was used to analyze recent research on machine learning techniques or algorithms, such as neural networks, SVM, KNN and decision trees, among others that are applied to the detection of underachievement and school failure. Tools that allow monitoring and anticipating academic performance were also reviewed. AI has a high potential to identify academic risk patterns, facilitating early interventions. If implemented ethically and strategically, it can contribute significantly to inclusive and quality education, supporting the achievement of the SDGs.
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Año:
2025
ISSN:
2007-1558
Gaspar Vargas, Luis E.; Torres Calva, Karla Andrea; Ruiz-Vanoye, Jorge A.; Díaz Parra, Ocotlán; Simancas-Acevedo, Eric; Salgado Ramirez, Julio C
Editorial Académica Dragón Azteca
Resumen
The detection of brain gliomas is a crucial clinical challenge that requires early, accurate diagnostic methods to improve patient outcomes. This work presents the development of a deep learning-based system for glioma detection, employing an ensemble of ResNet18, VGG16, and DenseNet121 models trained with MRI images. The preprocessing involved dataset curation, image normalisation, and mask generation through K-means clustering. The trained model was integrated into a web application, allowing users to upload images and receive immediate diagnostic feedback. Experimental results demonstrate promising accuracy rates and reliable segmentation performance. This research highlights the potential of artificial intelligence (AI) to augment traditional medical imaging techniques and assist clinical diagnosis.
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Año:
2025
ISSN:
2007-1558
Martínez Ramírez, Emmanuel; Diaz Ledezma, Marcelino Alan; López Portillo Zuarth, David; Vicente Ortiz, Alex Yoel; Mera Sánchez, Nelson Rosendo; Ordaz Oliver, Mario Oscar; Espejel Rivera, María Angélica
Editorial Académica Dragón Azteca
Resumen
Didactic control systems are tools that facilitate the understanding of topics related to control and stabilisation. However, due to the high cost of these devices, their implementation in schools is limited. This work presents the design, construction, and testing of a low-cost didactic prototype of a Furuta-type pendulum for the analysis of topics related to this system. The construction included parts designed in SolidWorks and produced with 3D printing, threaded rods, a precision linear potentiometer, a DC motor, a BTS7960 H-bridge, and an Arduino Nano. The functionality of the project was verified through the implementation of two digital tools: a Kalman filter to improve the measured signal and a PID controller to regulate the angular speed of the motor. It was demonstrated that the prototype can be stabilised under the operational considerations of PID control without the use of an angular position sensor. Moreover, the Kalman filter must be kept small in order to avoid information loss.
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Año:
2025
ISSN:
2007-1558
Puma-Ttito, Flossi Dayana; Guerrero-Mendez, Carlos; Lopez-Betancur, Daniela; Saucedo-Anaya, Tonatiuh; Castaneda-Diaz, Rafael; Martinez-Ytuza, Luis
Editorial Académica Dragón Azteca
Resumen
This study evaluates the performance of various ResNet architectures for classifying peaches as “healthy” or “damaged”. A dataset of 3 370 images was used, with data-augmentation techniques applied to enrich the training set. Transfer learning was performed using pre-trained ResNet models, with stochastic gradient descent (SGD) adopted as the optimisation algorithm. Performance was assessed using accuracy, precision, recall and F1 score. ResNet-50 emerged as the most effective architecture, achieving a mean accuracy of 95.96 % and outperforming other models, including ResNet-18, ResNet-34, ResNet-101 and ResNet-152. The results demonstrate the potential of deep-learning techniques to improve peach-sorting processes, thereby reducing post-harvest losses and enhancing quality control in the agricultural sector.
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Año:
2025
ISSN:
1688-6593, 1688-3691
Tassano, Marcos; Cabral, Pablo; Cabrera, Mirel
Laboratorio Tecnológico del Uruguay - LATU
Resumen
This study characterizes inventory levels, concentration, and vertical distribution of 137Cs and 210Pbex in reference soils across Uruguay, establishing a baseline for future erosion and radiological monitoring studies. Seven sites were analyzed along a climatic gradient from south (Colonia) to north (Rivera). The 137Cs inventories were spatially homogeneous (357.8 – 365.4 Bq.m−2) and closely matched historical atmospheric deposition records from Buenos Aires, validating these as regional references. Conversely, 210Pbex inventories (3973 – 8428 Bq.m−2 in the upper 15 cm) strongly correlated with mean annual precipitation (R2 = 0.92, p = 0.01). Results indicate 137Cs inventories are stable and suitable as a general reference for erosion studies, whereas local-specific references are necessary for 210Pbex due to its environmental sensitivity. These findings provide a crucial baseline for assessing future radiological contamination from potential nuclear events in the region.
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Año:
2025
ISSN:
2007-1558
Suarez Ruiz, Rodrigo; Cruz Gonzalez, Enrique Eduardo; Tapia Guerrero, Maria Alexandra; Martinez Escamilla, Juan Guillermo; Pérez Ramírez, David Elim; Espejel Rivera, María Angélica; Hernández Pérez, Javier
Editorial Académica Dragón Azteca
Resumen
The Ball & Beam system is one of the most comprehensive case studies in the field of control, as it is naturally unstable. This paper proposes a control approach for the Ball & Beam system composed of a PID controller and a Kalman filter, which are used to estimate system states and mitigate problems caused by the sensor’s high sensitivity to noise. The control is implemented using the Arduino software. Finally, the results of the simulation and implementation show that the control is effective despite the noisy signal, resulting in a low-cost prototype for educational purposes.
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Año:
2025
ISSN:
2007-1558
Ramirez Dominguez, Elihu Hadad; Benítez-Morales, José G.; Licona Rodríguez, Ángel Ricardo; Alamilla Daniel, Ma. de los Angeles; Hernández-Pérez, Javier; Xicoténcatl-Pérez, Juan M.
Editorial Académica Dragón Azteca
Resumen
This article presents the conceptual design of a robotic rehabilitation device focused on the recovery of the elbow joint, aimed primarily at individuals who have suffered a cerebrovascular disease or trauma to that joint. The device was developed following Ullman’s mechanical design methodology, which allowed the project to be structured systematically. The robot enables repetitive flexion-extension movements of the elbow, with the goal of restoring mobility to the affected upper limb.
To ensure the mechanical integrity and functional reliability of the proposed system, a structural validation was conducted through finite element analysis, along with studies for the selection and design of the electronic and instrumentation components. This development represents a step forward toward accessible, functional, and efficient rehabilitation solutions.
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Hecho en México, Universidad Nacional Autónoma de México (UNAM). 1997-2025.
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