Conference Agenda

Abstract: This project involves a company specializing in natural energy drinks designed to enhance vitality and physical and mental performance. Its focus is on offering healthy alternatives to conventional energy drinks, using exclusively high-quality natural ingredients such as plant extracts and essential vitamins. These ingredients are selected for their energizing properties and their ability to promote endurance. NATURUSH aims to revolutionize the energy drink industry with natural and sustainable products that do not harm the environment. The company strives to offer beverages that stimulate the body while promoting a balance between performance and health. Its vision is to globally lead the natural energy drink market, recognized for its innovation and commitment to health and well-being, aspiring to inspire millions to adopt an active and conscious lifestyle

The objective of this thesis is to apply the Lean Construction approach to optimize efficiency in construction projects in Metropolitan Lima, Using the Casa Huamán residential project as a case study. A quantitative method was used, based on a non-experimental structure and an explanatory scope, to assess how the application of Lean Construction techniques reduces costs, execution times, and rework on-site. Data collection involved the use of direct measurement tools in the areas of costs, times, and non-conformities. Among the main findings, the was a 7.67% reduction in overall costs and an 19.89% decrease in delivery times, highlighting the effectiveness of the Lean approach in waste reduction. However, its application faced limitations related to staff adaptation and the availability of specific technological resources. The implications of this study emphasize the potential of Lean Construction to improve the management of residential projects in urban settings, contributing both to the theoretical development of sustainable construction and to practical implementation in the local industry. In conclusion, it is validated that the use of Lean Construction enhances operational efficiency and minimizes costs and times in residential construction projects.

Abstract- Population growth and the effects of climate change have jeopardized the capacity of conventional agriculture to meet the growing demand for food. Faced with the projection of 10 billion people by 2050 and challenges such as soil degradation, water pollution and extreme weather events, hydroponics has emerged as a sustainable alternative. This system uses nutrient solutions that allow savings of up to 90% of water and enables cultivation in small spaces, making it ideal for urban areas and communities with limited access to agricultural land.

However, it faces economic barriers due to high initial implementation costs, limiting its adoption in vulnerable communities.

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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.

Abstract: This research project focuses on the automation of a parking system using Arduino technology with the aim of reducing operating costs and improving efficiency in urban areas, particularly in Cajamarca. The study addresses common problems in traditional parking management, such as traffic congestion, shortage of available spaces, and high costs associated with human intervention. Through the implementation of an automated system with ultrasonic sensors and automatic barriers, the aim is to optimize the use of space and reduce user waiting time, also contributing to improving the customer experience. In addition, this automation is expected to generate a significant reduction in operational costs associated with personnel and improve sustainability by reducing polluting emissions.

The study focuses on the fulfillment of SDG 8, specifically target 8.3, which aims to support productive activities and decent work under equal conditions. The main objective is to evaluate the relationship between modern commerce and the sales of small grocery stores in the 26 de Octubre district, Piura region, in 2024. Through a quantitative methodology, with a non-experimental and cross-sectional design, a sample of 50 winemakers was worked with, to whom a structured survey was applied. The results showed a significant moderate positive relationship between the variables, with a Spearman's Rho coefficient of 0.604 and a p value < 0.01. It is concluded that modern commerce formats affect sales in the wineries of the 26 de Octubre district, so it was recommended to intensify their marketing and sales strategies to improve their sales objectives.

Sentiment analysis based on artificial intelligence (AI) and web scraping is a key technique for extracting and evaluating opinions on various digital platforms. However, its implementation faces significant challenges in data collection, processing, and analysis. Access restrictions imposed by websites, such as bot blocks, CAPTCHAs, and changes in structure, make it difficult to efficiently extract information. In addition, the data obtained is often unstructured or noisy, which complicates its processing and cleaning.

Another fundamental challenge is the accuracy of AI models, which can be affected by bias, linguistic ambiguity, sarcasm, and variations in language. To address these challenges, solutions such as the use of official APIs, proxies, IP rotation, and data preprocessing strategies have been developed. Likewise, the improvement in AI models through deep learning techniques and training with more representative datasets has optimized the detection of emotions.

This article presents the main challenges and solutions in the integration of web scraping and AI for automated sentiment analysis, providing strategies to improve the accuracy and reliability of these systems in an ever-evolving digital environment.

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.