Programa del congreso

The global ready-to-drink (RTD) coffee market has witnessed exponential growth, with cold brew emerging as one of its fastest-growing segments due to consumer preferences for smoother flavor profiles, lower acidity, and convenience. This study evaluates the market potential and neurovisual perception of Café Nativo’s cold brew coffee in Tegucigalpa, Honduras. A mixed-method design was applied, combining quantitative surveys (n = 246), competitive benchmarking, and neuromarketing experiments using eye-tracking. Surveys provided insights into coffee consumption habits, cold brew familiarity, purchase intentions, and flavor preferences. Demand was projected using behavioral correction and innovation adoption models, adjusted for socioeconomic and demographic segments identified by the Instituto Nacional de Estadística (INE). Eye-tracking experiments analyzed visual fixation patterns and emotional responses (joy, valence, confusion) to packaging stimuli. Results indicate a 56% definite purchase intention, leading to an adjusted annual demand of 1.88 million units despite current production capacity of 1.2 million units. Heatmaps revealed fixation hotspots on brand and flavor cues, while nutritional information received moderate attention. Gender differences in emotional responses suggest targeted design strategies. These findings support a phased rollout strategy and highlight packaging refinements to enhance competitive positioning in the local RTD coffee market.

This article highlights the use of the ABC methodology to improve product placement in warehouses and enhance the picking process. It also proposes last-mile management to reduce the number of incidents caused by poor coordination with customers during the distribution phase. This research involves the design, implementation, and evaluation of these tools to reduce unclosed sales in a wholesale SME located in Puno, Peru. After a validation period, the model showed that picking errors decreased by 39.8%, and the number of orders delivered on the promised date increased by 30.8% compared to May 2024. The model demonstrates that the simultaneous management of different logistics stages can significantly impact commercial results. However, the model is applicable only to companies whose distribution process is controlled through a Transport Management System (TMS), and where dispatch statuses can be updated via order tracking software.

This article presents the development of an automatic histological processing machine, which was designed and built for educational use at a low cost. The architecture combined STM32F401 microcontrollers, PID controllers, DS18B20 temperature sensors, bipolar stepper motors, and a Nextion touchscreen to automate the dehydration, impregnation, and inclusion of biological samples. A robust mechanical structure made of stainless steel was designed along with an electronics-based distributed master-slave control system, in accordance with UART communication and monitoring by inductive sensors and limit switches. The performance of the prototype was evaluated using an observation sheet with 10 criteria that were validated in content and appearance by expert judgment. Average values between 3.71 and 4.22 of a maximum possible score (5) were obtained, indicating consistent thermal control, motion repeatability, stability in motion, as well as smoothness, while motor accuracy was automatically calculated. The device is a viable and replicable alternative to commercial systems, providing access to educational technologies in biomedical sciences and bolstering hands-on training for students at universities.

The objective of this research is to analyze how innovations in both pedagogical and technological fields impact the teaching of chemistry, with the integration of virtual simulators to enrich the teaching-learning process. In order to achieve this purpose, a qualitative methodology based on the PBMI strategy was employed, which includes the definition and formulation of the object of study, an effective search using Boolean operators, the application of bibliometric design indicators, and metadata mining using the "R" language - Bibliometrix and Vosviewer libraries. An exploration was carried out in the Scopus database to identify relevant documents published between 2020 and 2024. Studies were selected for their thematic relevance and open access, identifying a total of 78 documents for review. Findings highlight the relevance of chemistry education in areas such as health, nutrition, and advances in nanomaterials, and there is a growing trend in scientific production in this field. It is concluded that the effective integration of virtual simulators and the adoption of interdisciplinary approaches are fundamental for the evolution of chemistry teaching and to address contemporary challenges in education, medicine, industry, and the environment.

Keywords: Chemistry teaching, virtual simulators, pedagogical innovation, inclusive education, bibliometric analysis.

This research addresses the experimental characterization and nonlinear numerical simulation of the structural behavior of masonry in Cajamarca, Peru. Tests were carried out on units, piers, and low walls using local artisanal and industrial bricks, evaluating properties such as compressive strength (𝑓𝑚 ), modulus of elasticity (𝐸), and shear strength (𝑣𝑚 ). The values obtained were up to 22.3 kg/cm² in prismatic strength and 1300 MPa in stiffness, highlighting the better performance of the industrial brick. Subsequently, these elements were modeled in ABAQUS (CDP model) and DIANA FEA (Total Strain Fixed Crack model) programs, comparing the results with the experimental data. The simulated force-displacement curves showed errors less than 10% in displacement and stiffness, validating the effectiveness of both models, especially when using calibrated local parameters. It is concluded that multiscale nonlinear modeling, combined with regional characterization, is key to improving the structural analysis and seismic design of masonry buildings. This methodology can be replicated in other regions with material variability, contributing to safer and more efficient designs.

This study examines the interconnections between university mobility, internationalization, and institutional accreditation processes in Peruvian higher education institutions. Using a quantitative, non-experimental cross-sectional design, data were collected from 68 licensed public and private universities through structured surveys administered to international relations and academic quality officials. Secondary data from Peru's National System for the Evaluation, Accreditation, and Certification of Educational Quality (SINEACE) were incorporated to verify accreditation records. Statistical analyses included Shapiro-Wilk normality tests, ANOVA, and Spearman rank correlations using R Studio. Results revealed consistently positive perceptions of internationalization policies across institutions, with no significant differences between public and private universities in academic mobility (F(1,38) = 0.13, p = 0.721). However, weak correlations were found between mobility, policies, resources, and accreditation outcomes (ρ ≤ 0.20), indicating fragmented processes. Accreditation efforts were heavily concentrated at the undergraduate level (92.6%), with minimal representation in master's (5.9%) and doctoral programs (1.5%). Disciplinary segmentation emerged, with public universities leading in engineering and health program accreditation, while private institutions focused on social sciences. The findings suggest that despite progress in establishing internationalization frameworks, operational gaps and lack of synergy persist. This research contributes to understanding higher education quality assurance in Latin America.