Indoor positioning is a recent technology that has gained interest in industry and academia thanks to the promising results of locating objects, people or robots accurately in indoor environments. One of the utilized technologies is based on algorithms that process the Received Signal Strength Indicator (RSSI) in order to infer location information without previous knowledge of the distribution of the Access Points (APs) in the area of interest. This paper presents the design and implementation of an indoor positioning mobile application, which allows users to capture and build their own RSSI maps by off-line training of a set of selected classifiers and using the models generated to obtain the current indoor location of the target device. In an early experimental and design stage, 59 classifiers were evaluated, using data from proposed indoor scenarios. Then, from the tested classifiers in the early stage, only the top-five classifiers were integrated with the proposed mobile indoor positioning, based on the accuracy obtained for the test scenarios. The proposed indoor application achieves high classification rates, above 89%, for at least 10 different locations in indoor environments, where each location has a minimum separation of 0.5 m.

This study explores the relationship among student college attainment and the variables mathematical thinking, analytical thinking, language structure, reading comprehension, mathematics result, physics result, written language (Spanish), and English as a foreign language. Method: The participants were 130 students enrolled in an undergraduate 4-year program at a University who started in 2014. Mann–Whitney, $t$ , and chi-square tests were used, to compare the attributes of the students in two groups: 1) completed students and 2) students who dropped out. Additionally, a logistic regression model was carried out to predict the probability of student academic success based on the variables measured by the admission exam EXANI-II of CENEVAL. Results and Discussion: The findings indicate that in all the variables analyzed there were differences in favor of the group formed by students who did graduate compared to those who did not. On the other hand, only the mathematics report ( $p = 0.013$ ) and the written language report ( $p = 0.029$ ) were significant to predict the probability of graduation of the students. The authors identified that mathematics and written language are variables that affect students’ academic attainment. Conclusion: It is necessary to recognize that there are inequalities in the conditions of students entering university. For this reason, consideration should be given to the creation of academic support and inclusion programs that stimulate the integral development of the student from before entering the first semester. It is also important to periodically quantify and analyze student progress to implement the necessary strategies and continually follow up their academic attainment.

The communication of e-Health has been transformed with the advancement of information technologies, therefore it is feasible to carry out studies in the context of health professionals’ interactions. Objective: This study aimed to design and validate a preliminary questionnaire to investigate the context of the communications of health professionals through information technologies considering three significant dimensions. Method: The stages provided by Hernández Sampieri guided the building, validation through Cronbach’s alpha and factorial analysis. The questionnaire was applied to 43 participants who simulated health professionals. Results: We obtained an instrument that includes a demographic data section and 20 items distributed into three factors. Internal consistency reliability with Cronbach’s alpha values generally of 0.848 and higher than 0.811 was obtained in each dimension. Kaiser-Meyer-Olkin’s measure of sampling adequacy was regular, with 0.781, and Bartlett’s test of sphericity was significant ( p < 0.001). Conclusion: It is necessary to apply in real-world environments to reaffirm the results obtained.

El artículo aborda el análisis de opiniones de estudiantes sobre las clases en línea utilizando procesamiento de lenguaje natural (PLN). Se destacan respuestas diversas obtenidas mediante un enfoque mixto. El estudio se centra en comprender las percepciones estudiantiles hacia la enseñanza remota. El PLN se emplea para procesar y analizar los datos recopilados, permitiendo identificar patrones y tendencias en las respuestas. Se exploran diferentes aspectos de las experiencias estudiantiles, incluyendo desafíos, beneficios y sugerencias de mejora. La aplicación de un enfoque mixto en el análisis garantiza una comprensión integral y contextualizada de las opiniones estudiantiles, brindando información valiosa para la optimización de las clases en línea.

This article presents the design and implementation of an API that delivers real-time promotional notifications to mobile devices based on their proximity to shopping centers, calculated using the Haversine formula. Developed in Laravel, the API determines whether a mobile device is within a 600 m radius of any registered shopping center, such as Soriana, GranD, and HEB, and sends the relevant promotional information. The system uses Petri nets to model asynchronous behavior, enabling efficient concurrency management between the mobile application and the API. This structure ensures optimized message delivery, preventing communication collisions and delays. The mobile application, developed in Kotlin, integrates geolocation services to capture and update the user’s location in real time. The results indicate an improvement in response time and proximity detection accuracy, highlighting the effectiveness of the Petri net model for systems requiring concurrent interaction. The combination of Laravel, Kotlin, and formal modeling with Petri nets proves to be an effective and scalable solution for proximity-based mobile applications.

Man has dreamed of stars since their origins, they have inspired hundreds of great thinkers, artists and religious to understand why they are there, to understand how the celestial map changed night after night, imagining that we could reach them and find new and fantastic worlds, as well as unthinkable flora and fauna. Progressively, as science and technology advance, we can feel that those dreams are closer and closer to being realized. Today we are mainly focused on conquering Mars and although still distant, this idea starts to sound feasible. Using probes and terrestrial drones, we have been able to see the planet, decisive and transcendental steps, but they are the beginnings of a great sequence of necessary objectives before a human being can call the red planet "home". This article addresses the main challenges and obstacles that we would have to overcome in order to start an exodus to Mars, such as development of space vehicles, habitats, and environmental suits, generation of oxygen, water, food and energy, as well as essential genetic modifications.