Conference Agenda

This study analyzes the revealed comparative advantage (RCA) of bananas on a global scale using Balassa’s Revealed Comparative Advantage Index (RCAI). Export data from major banana-producing and exporting countries between 2019 and 2023 were collected to assess the evolution and stability of their competitiveness in international trade. The results indicate that countries such as Ecuador, the Philippines, and Costa Rica maintain a consistent comparative advantage, while others like Guatemala and Colombia have experienced fluctuations. Additionally, structural factors affecting the sector’s competitiveness including agricultural productivity, logistics costs, international certifications, and trade barriers—are examined. The study concludes that, despite its historical strength, the banana industry faces significant challenges in sustainability and market diversification.

The Plant Microbial Fuel Cell system is observed as a very effective alternative, having an obvious advantage over the application of conventional electrodes. However, only 16.7% of the authors propose as an innovative alternative to explore the implementation of charcoal-based electrodes for greater efficiency. Likewise, 25% of studies agree that the use of plants in plant microbial fuel cells whose climatic conditions by nature involve semi-arid climates have greater resistance to adverse physical and chemical variations. While those of tropical origin have an advantage in generating greater bioenergy due to their physical characteristics. The objective of the study is to analyze and measure the influence of the calcium micronutrient on the Aloe barbadensis species, in the production of electrical energy of a CCM-V, additionally implement a lithium battery system in the residential location and evaluate its performance. To fulfill this purpose, the appropriate organism must be selected, suggesting the implementation of C4 plants. Additionally, an increase in efficiency of 29.1% of bioelectricity production is guaranteed by controlling factors such as nutrients, pH, conductivity, temperature, salinity, COD, radiation and C/N ratio. In this way, high productivity rates will be obtained in the CCM-V. In addition, managing to improve the system proposal by monitoring calcium levels to increase efficiency in the development of the energy activity proposed by the study organization.

In the current digital era, marked by rapid and disruptive technological advances, engineering education must evolve to equip students with the necessary competencies to face future challenges [1]. This document explores the transformative impact of integrating Artificial Intelligence (AI), Machine Learning, and Matlab into mathematics education, particularly in an engineering school.

The Dynamic Theoretical Learning (DTL) methodology, adapted to include these advanced technologies, not only facilitates a deeper understanding of mathematical concepts but also promotes practical, active, and collaborative learning aligned with current industry demands. The incorporation of gamification within the DTL framework adds an additional layer of motivation, transforming the educational process into an immersive and challenging experience.

Through thematic missions, programming challenges, and rewards, students are encouraged to actively participate, enhance their collaboration skills, and apply acquired knowledge to real-world engineering contexts. The results of implementing this methodology have shown a significant improvement in academic performance, with notable increases in pass rates and greater student adaptability to using advanced technologies.

This approach not only prepares students to be competent in their future professional fields but also inspires them to lead innovations in a world increasingly dominated by technology and artificial intelligence. This document offers a comprehensive and practical vision of how engineering education can be transformed through the integration of AI, Machine Learning, and Matlab, laying the foundation for an innovative and effective educational model for training the engineers of the future.