This study explores the integration of artificial intelligence, specifically ChatGPT, into higher education institutions in Mexico as a means of fostering educational innovation. The focus is on leveraging ChatGPT to enhance professor-student collaboration and improve the overall learning experience. The research delves into the implementation of ChatGPT in diverse academic settings to analyze its impact on student engagement, knowledge retention, and collaborative learning dynamics. The study employs a mixed-methods approach, combining quantitative data collection through pre- and post-implementation assessments, and qualitative insights gathered from interviews, surveys, and focus groups with both professors and students. By examining the perceptions and experiences of participants, the research aims to identify the strengths and challenges associated with integrating ChatGPT into the higher education program of studies in Mexico. The findings shed light on the effectiveness of ChatGPT in facilitating interactive and dynamic exchanges between professors and students. Additionally, the study investigates the role of ChatGPT in personalized learning experiences, addressing individual student needs and learning preferences. Ultimately, this study contributes to the discourse on educational innovation in Mexico by offering insights into the transformative potential of artificial intelligence, particularly ChatGPT, in higher education. Ultimately, this study contributes to the discourse on educational innovation in Mexico by offering insights into the transformative potential of artificial intelligence, particularly ChatGPT, in higher education. The outcomes of this research provide practical recommendations for institutions seeking to integrate AI technologies to active professor-student collaboration and improve the overall educational view.

Age-related macular degeneration (AMD) is a progressive eye disease that primarily affects individuals over 50 years old. Among the AMD variants, wet is the most severe, as it represents the advanced stage of dry AMD and can cause severe vision loss if not detected in time. This study focuses on the development of WAMDS2, a web module designed to identify characteristics associated with wet AMD, facilitating early and accurate detection. To achieve this, a literature review was conducted on AMD and advanced techniques in computer vision and deep learning. The proposed model integrates Swin Transformer V2, a vision transformer implemented in PyTorch, to analyze fundus images and classify the different stages of the disease. The system’s performance was evaluated using metrics such as accuracy, recall, and F1-Score. An accuracy of 84.76% was achieved on the test set, suggesting its feasibility in clinical settings. The obtained results highlight the potential of WAMDS2 in ophthalmology and computer vision, demonstrating its capability to enhance automated diagnosis and patient care.

Pulque is an ethnic and traditional fermented beverage produced and consumed in Mexico; it is obtained from certain varieties of Agave, and its final alcohol content is around 4% to 7%. It is rich in protein and its carbohydrate content brings it a characteristic flavor; also, some probiotic bacteria are present in pulque. On the other hand, foams are a colloid system where the air bubble phase is dispersed in a continuous liquid phase. The foaming of liquids has been recognized as a method that shortens processes such as drying and preserves quality attributes. The present work studied the drainage kinetics of different pulque foams prepared with egg white in order to obtain a product suitable for further drying. Different egg white and pulque concentrations, as well as mixing times, were evaluated. The drainage volume was recorded and foam density was determined among different experiments. It was found that the lowest volume was drained when mixing for 20 min, and the lowest foam density was obtained when egg white and pulque were mixed in a 2:1 ratio. The drainage kinetics of the foam determines important information for its further use in a new product with pulque.