Conference Agenda

This study analyzes the relationship between the use of liquefied petroleum gas or LPG in food cooking and ventilation in residences in Panama City. It was identified that 95% of the respondents use gas stoves, with preference for 25-pound cylinders, Most reside in single-family homes, which indicates an extended use of gas cylinders in single-story houses, without necessarily complying with regulations for buildings larger than five floors. The results reveal that only 32% of homes have windows in the kitchen, with a predominance of types of windows that prevent permanent ventilation. 18% do not have windows, which limits natural ventilation. In addition, only 39% of homes use exhaust fans, indicating low adoption of mechanical ventilation. In homes without windows, only 34.5% have extractors, which implies poor ventilation and a high risk of contaminant accumulation. During the experiment, it was observed that cooking methods such as frying and roasting generate the highest emissions, with concentrations of VOCs above 700 ppm and particulate matter greater than 500 ppm. These findings underscore the need to improve ventilation in kitchens, as well as strengthen enforcement to reduce health risks associated with poor indoor air quality.

The research carried out under the title of consumer behavior and purchasing experience in computer technology products in the Retail sector of Metropolitan Lima, 2024. It proposes the definition of today's consumers, taking into account different aspects. The research has a quantitative approach and a relational or correlational level. Having as its main technique the survey and its instrument the questionnaires. In which, after having been carried out, significant data was obtained for the specific research. The result showed that there is a direct relationship with the terms consumer behavior and purchasing experience. In conclusion, emotional and cognitive opinions represent a significant part of the purchasing process.

This research contributes to SDG 11: Sustainable Cities and Communities, aiming to guarantee access to safe and sustainable housing in Sector 06, El Milagro. The objective of this study is to examine the relationship between economic factors and innovative sustainable materials in housing construction in the study area. A quantitative methodology was employed with a non-experimental design and a descriptive, correlational scope. The sample consisted of 88 residents from Sector 06, with surveys and a checklist used as data collection instruments. The results indicate that there is no correlation between economic factors and the use of sustainable materials. However, 73.90% of respondents perceive the economic benefits positively, and 80.67% express a positive opinion about innovative materials. The conclusions emphasized that the use of sustainable materials is not only economically viable but could also contribute to improving the quality of life and promoting sustainability in housing construction in vulnerable areas.

Keywords: sustainable construction, innovative materials, economic factors.

El imparable avance tecnológico en la actualidad genera una diversidad de innovaciones que transforman la vida cotidiana, produciendo mejoras significativas en distintos ámbitos sociales. La inteligencia artificial (IA) ha experimentado un notable crecimiento en la investigación criminal latinoamericana, con el objetivo fundamental de aliviar la sobrecarga procesal y optimizar metodologías investigativas tradicionales. Este estudio, desarrollado bajo un enfoque cualitativo descriptivo, utilizó entrevistas como herramienta principal de recopilación de información, buscando analizar tres dimensiones críticas: la aplicación de IA en investigaciones criminales, la necesidad de regulación y los desafíos técnicos de implementación. Los resultados revelaron un potencial transformador de la inteligencia artificial en los sistemas judiciales, destacando su capacidad para automatizar tareas, procesar datos masivos y reducir significativamente los tiempos de investigación. La automatización permite a los profesionales concentrarse en aspectos más complejos de los casos, mientras los algoritmos gestionan información de manera eficiente. Sin embargo, la implementación efectiva requiere un marco normativo específico que establezca criterios claros de operatividad, garantice la calidad de los datos y contemple la formación especializada del personal. Los principales beneficios identificados incluyen una mayor precisión en el análisis, optimización de recursos y potencial para resolver casos más rápidamente. No obstante, se reconocen desafíos significativos como la disponibilidad de datos de calidad, la necesidad de formación especializada y la definición de protocolos éticos para su implementación.

The study aimed to analyze the relationship between sustainable development and educational innovation in a pre-university academy in Cajamarca in the year 2024. With a quantitative approach and a non-experimental and descriptive-correlational design, 214 students were surveyed using a structured questionnaire. The results showed a positive classification between sustainable development and educational innovation (0.261), which suggests that, although there is a significant weak relationship, it does not have a decisive impact on academia. Weak correlations were also found between sustainable development and the use of educational technologies (0.022), and between innovative methodologies and sustainable practices (0.222). The strongest relationship was that of internal communication strategies and the adoption of sustainable policies, with a coefficient of 0.426. It is concluded that it is necessary to strengthen and align educational innovation and sustainability strategies to achieve effective change, taking into account the motivation and constant implementation of these practices in the academy.

Expansive clayey soils exhibit high deformability and volumetric changes that can generate instability and failures in civil structures. To address this problem, an experimental quantitative study was conducted using lime and rice husk ash (RHA), abundant residues in agricultural production. The clayey soil, classified as CH and A-7-6, was obtained from Villa Rica (Pasco, Peru) and was subjected to characterization tests (moisture content, consistency limits and particle size), as well as Modified Proctor compaction tests and unconfined compression (UCS).

The results showed that the addition of RHA and lime increases the unconfined compressive strength, with the mixture with 3% lime and 6% RHA standing out as the most effective. X-ray fluorescence analysis confirms the high silica content in RHA, which enhances its pozzolanic properties when reacting with lime. These findings demonstrate that the combination of lime and CCA is a sustainable and efficient alternative to improve the mechanical properties of problematic clayey soils, thus reducing deformability and contributing to the construction of safer infrastructures.

This study analyzes the production process of the Japanese oyster (Crassostrea gigas) in the Gulf of Nicoya, Costa Rica, aiming to evaluate its efficiency and sustainability. A qualitative methodology was employed, consisting of structured interviews with small-scale producers and the development of flow diagrams representing all stages of cultivation, from seed acquisition in laboratories to harvest and commercialization. The results estimate an annual production of 114 tons; however, various challenges affect this activity, including water contamination, climate variability, limited infrastructure, and a shortage of skilled labor, which hinder optimal development. The analysis identified key areas for improvement, such as proper seed management, infrastructure maintenance, and efficient waste management. To address these challenges, the study proposes strengthening environmental management, implementing continuous training programs for workers, establishing monitoring systems for more precise control of the production process, and promoting financial support mechanisms to facilitate access to resources and technology. These measures aim to enhance the competitiveness and sustainability of the aquaculture sector, ensuring its long-term viability. In conclusion, the findings of this study provide valuable insights for optimizing production and fostering stronger socio-economic development in the region.

This paper enhances an existing wastewater treatment process that utilizes Typha domingensis (cattails) for secondary treatment by introducing a redesigned floater system and implementing Electromagnetic Oxygen and Hydrogen (EMOH) technology. The improved modular floater features an interlocking triangular design that adapts to spatial constraints while supporting twenty-eight planting holders per unit, increasing planting density and system flexibility. The EMOH system increases dissolved oxygen levels, promoting aerobic microbial activity that accelerates the breakdown of organic pollutants. Detailed infrastructure design and performance calculations are presented to demonstrate the system’s scalability, structural stability, and improved treatment efficiency.

Wildfires pose a critical environmental and socioeconomic risk, demanding rapid and cost-effective solutions. This paper presents an autonomous drone prototype for early wildfire detection, integrating IoT sensors, edge computing, and real-time video analysis. The system features an ESP32-based flight controller, multi-sensor modules (MQ135 for gases, AHT10 for temperature/humidity, BMP180 for pressure), and an ESP32-CAM streaming 720p video. Sensor data and video are processed locally using OpenCV and YOLOv8, achieving 88% accuracy and 1.5-second latency in fire detection. A PIC16F877A microcontroller manages a cooling fan, maintaining PCB stability below 40°C. Despite altitude limitations (1–3 meters), the drone transmits processed data via Wi-Fi/LoRa to a cloud dashboard with a total latency of 2.8 seconds, balancing speed and reliability.

The $40 prototype reduces costs by 90% compared to commercial systems, leveraging open-source software and standard components. Experimental validation in controlled environments demonstrated robustness against false positives (6%) and adaptability to humidity variations (20–95% RH). Key challenges included PID tuning for flight stability and YOLOv8 optimization for low-power hardware, addressed through sensor fusion and model quantization. Future work will integrate NVIDIA Jetson for advanced autonomy and thermal imaging. This study advances affordable and scalable wildfire monitoring, aligning with Sustainable Development Goal 13 (Climate Action) and providing a replicable framework for developing regions. The results highlight the potential of edge AI and IoT in democratizing environmental monitoring technologies.

The poultry industry has become a more attractive culinary industry for Peruvian consumers; and in parallel it has become a significant contributor to air quality degradation, refleted in alarming PM10 and PM2.5 figures at the national level. To quantify particulate matter, the DustMate instrument was used, and found a concentration of 47.65 μg/filtro of PM10 in the air of the district of Chorrillos, with a range of contribution from the poultry industry of 1628.86 to 2520.00 μg/m3 for PM10 and 694.57 to 1181.36 μg/m3 for PM2.5. The use of coconut-based biofuel resulted in a remarkable reduction of the concentration values, with an average of 142.70 μg/m3 for PM10 and 58.89 μg/m3 for PM2.5; proving to be efficient in the reduction of particulate matter generated in the poultry industry.