Conference Agenda

This research has a quantitative approach, applied by its orientation, explanatory by the technique of contrast, by its source of data collection is retrolective that arises before the problem of deterioration of rigid pavements due to climate causes and whose solution is achieved through of the pursuit of the objective that is to determine the relation between the factor climate and the deterioration of the rigid pavements in the district of Ica, province of Ica, Ica region using as instrument of data collection of the deterioration of the pavements the methodology of the PCI and the application of statistical tests, reaching the conclusion that there is a relationship between climate and the degree of deterioration of rigid pavements in the dimensions and indicators of the main variable, which showed statistically significant differences with a value of P less than 0.05..

This research analyzes the impact of digital transformation and FinTech technology integration in Peruvian banking during the 2020-2024 period, focusing on operational efficiency and customer satisfaction. The study employs a quantitative approach, analyzing data from the four main Peruvian banks (BCP, BBVA, Interbank, and Scotiabank) which represent over 80% of the national banking market. The methodology included the analysis of records obtained from official sources such as SBS and ASBANC. The results reveal an interesting dichotomy: while the operational efficiency model showed limited explanatory capacity (adjusted R² = 0.208), the customer satisfaction model demonstrated significantly superior performance (adjusted R² = 0.940). The research found that FinTech integration has a positive impact on user experience, although it presents challenges in terms of security and risk management. The study concludes that digital transformation is fundamentally redefining Peruvian banking, with a particular emphasis on improving customer experience, although operational benefits require further optimization.
Keywords: Digital transformation, FinTech, Peruvian banking, operational efficiency, customer satisfaction

Potato production in Peru, a sector deeply rooted in the country's history and culture, faces significant challenges in positioning itself in international markets. Despite having an unparalleled genetic wealth and a diversity of more than 3,000 varieties, the exportable supply is hampered by limitations in infrastructure, lack of access to modern technologies and inefficiencies in the supply chain. This study addresses the urgent need to integrate farmers' ancestral knowledge with modern technological innovations to foster resilience to climate change and improve the sector's competitiveness. In addition, the importance of policies that strengthen the continuous training of producers and optimize access to resources is explored. Through a holistic approach that contemplates both the modernization and valorization of traditional knowledge, a path is proposed towards the sustainable development of an exportable potato supply that not only preserves genetic diversity but also enhances the economic growth of agricultural communities in Peru. The methodology used in this research is an empirical literature search based on the study variables of potato production and export supply, concluding that it is not only about exporting our potatoes but also about obtaining a diversified and sustainable supply.

Melanoma is an aggressive cancer with high metastatic potential and limited treatment options. This study evaluates Photothermal Therapy (PTT) using gold nanorods (GNRs) in a murine melanoma model. Tumors treated with PEG-functionalized GNRs and irradiated with an 808 nm laser showed complete elimination in small tumors (≤2 mm) and a 45% reduction in growth rate for larger tumors. The results confirm that PTT is effective for early-stage melanoma, but larger tumors require additional strategies, highlighting its potential as a minimally invasive, targeted therapy with future clinical applications.

Technical business administration professionals are highly required by organizations, based on the demand for administrative competencies and skills, evidenced in the professional profile. In this framework, educational training must be differentiated by pedagogical and methodological quality during their stay in classrooms, with the aim of strengthening administrative skills that allow them to face major challenges in the labor market. Within the educational environment, higher education institutions are the agents that must prioritize meeting the needs of students through meaningful learning. The article aims to explain how the development of administrative skills that contribute to the competencies of the technical profile of business administration. The methodological approach is qualitative and phenomenological design. The study sample was 42 students. Data collection was obtained through interviews and the instrument was the guide of semi-structured questions. The results showed a relationship between administrative skills and technical profile competencies, with the English language being deficient at the oral and written level during their academic training; Because the institution does not emphasize mastery and practice, consequently, students must study in other universities to reinforce the language. The institution lacks an educational platform that allows them to interact through information technologies as a means of communication, analysis and research. Students mention that teachers rarely encourage problem solving by prioritizing needs in classes. In conclusion, the administrative skills and competencies of the graduation profile of technical professionals must be strengthened to meet the demands of the Ministry of Education.

High education is crucial for social, economic, and technological progress, particularly in developing countries where it fosters human capital and innovation. A systematic literature review (2019–2024) identified 20 issues undermining the viability of the Higher Education System (HES). To address them, this study proposes a multi-method framework based on Organizational Cybernetics (OC), integrating the Viable System Model (VSM) and Problem Structuring Methods (PSM). This framework enables the design and redesign of Higher Education Institutions (HEIs), enhancing efficiency and adaptability to meet social demands. Implementation follows a structured approach: (1) system definition, (2) diagnosis using VSM, (3) design of a viable structure, (4) development of the Model System Control (MSC), and (5) proposal of systemic improvements. This work in progress presents results from Phases 1, 2, and 3, detailing systemic pathologies, stakeholder analysis, and the use of systemic tools (SSM, rich pictures, and causal diagrams) to redesign the current VSM model. The framework is validated in a case study at a Peruvian university's Engineering program, using up to six VSM recursion levels. Preliminary findings demonstrate VSM’s versatility, stakeholder engagement, and the feasibility of restructuring HEIs via cybernetic principles. Future steps (Phases 4 and 5) will focus on implementation strategies and long-term viability assessment for the thesis defense. This research contributes to Engineering Education Management by offering an innovative, structured, cybernetic approach to enhance institutional viability. This comprehensive framework not only identifies critical issues but also provides practical guidelines for sustainable improvements across diverse educational contexts.

The present research aimed to analyze the impact of digital teaching as a transformative strategy for sustainable development in higher education. A systematic literature review was conducted that included the analysis of 88 academic papers in Scopus (2020-2025), selecting 40 final articles. The methodology followed a qualitative approach with content analysis at three levels: descriptive, thematic and content. The results showed that digital teaching had a significant impact, with a 78% improvement in pedagogical practices. Three levels of digital teaching competencies were identified: technical, pedagogical and socio-digital, with the most effective practices being digital project-based learning (85%) and virtual international collaboration (78%). It was recommended to implement teacher professional development programs that integrate technical and pedagogical skills. It was concluded that digital teaching is an effective strategy for sustainable educational transformation, requiring a holistic approach that integrates pedagogical, technological and sustainability aspects.

This article presents the findings of an exploratory review that aims to propose a design process for online educational experiences with a focus on human emotions. It reviews the link between digital visual culture and new media with digital learning objects and emotional design. The methodology consisted of a bibliographic review that resulted in the elaboration of the proposed process of curricular, instructional and digital learning objects design with a focus on human emotions.

This study compares the mechanical properties and thermal stability of control (PLA) and recycled (rPLA) polylactic acid films. Films were fabricated using extrusion and thermo-compression, with tensile tests (UNE-EN ISO 527-3) and thermogravimetric analysis (TGA) under nitrogen atmosphere. Results show that rPLA has lower tensile strength (σt) and elongation at break (εb) than PLA, while its elastic modulus (Et) remains similar. TGA analysis indicates reduced thermal stability in rPLA, with T₅% decreasing from 300°C to 280°C and Tmax from 350°C to 330°C, along with a higher mass loss (85%) vs. 80% in PLA. These findings highlight the compromised mechanical and thermal performance of rPLA due to recycling but confirm its potential for sustainable applications.

Currently, competition in companies has increased, the tools to develop strategies and processes greatly influence the results obtained by them, especially to ensure the continuity of operations. Technology is crucial at this stage because it allows us to improve and automate many processes that were previously done manually, its implementation increases the percentage of efficiency and productivity, allowing companies to improve both internally and externally. The objective of this study is to learn about the use of an intelligent business system to improve the decision-making process in the field of corporate planning.

In this sense, the use of BI must be focused on the requirements that the user may have in order to provide all the necessary data in one place, in this way optimizing resources and giving maximum performance to the tool [5].

With a study based on a PICO question, it was proposed to search for relevant literature in the scientific database using a keyword search equation, the years 2019-2024 were considered, from which a total of 77 documents were obtained. The types of documents were limited to 39 articles. Similarly, in terms of language, English, Spanish and Portuguese were considered, resulting in 38 documents. Finally, the validation of articles related to the main topic was carried out, leaving 24 articles.

This thesis presents a vehicle detection, classification, and counting system using deep learning neural networks and artificial intelligence, specifically in the area of artificial vision, with the objective of performing vehicle counting and gauging. For this purpose, several algorithms and previously trained neural networks will be used to provide the computer with the ability to see and understand the content of images and videos through the recognition of patterns and features.

The vehicle capacity is one of the most important and primary aspects in a study of vehicular traffic, because these data determine the degree of occupation and conditions in which a road works, as well as future growth trends, which allows a correct planning and design of a construction, rehabilitation or improvement of a road work. Therefore, the purpose of this research work is to provide an accessible, profitable, and economical alternative that allows to perform vehicular gauging on a road through the virtues of artificial intelligence, which in recent years have had a remarkable development and progress.

For the detection and classification of vehicles, convolutional neural networks were used, which are designed to imitate the visual cortex of the brain and recognize objects in images and videos. These networks contain a series of hierarchical and specialized layers that allow to identify and differentiate one object from another, so it was feasible to classify vehicles according to their typology, this contributed to obtain a complete and reliable data.

Keywords: Artificial intelligence, computer vision, neural networks, deep learning, detection algorithm.

The general objective of the research was to determine the relationship between happiness at work and the fulfillment of goals in a hospital in the city of Trujillo 2024. The research was applied, with a quantitative approach. The sample was a census sample, given that the entire population participated, being made up of 80 administrative professionals of the hospital. The survey technique was used, being a questionnaire of 31 questions in total, in which 20 were of the variable happiness at work and 11 of the variable fulfillment of personal goals. A total of 85.0% of the workers rated their happiness at work as good, which is generated because the workers perceive that their work is valuable and necessary for the functioning of the institution. 53.8% of the participants have a good level of fulfillment of personal goals, which means that most of the workers comply with their assigned responsibilities within the institution. Likewise, it was determined that there is a weak positive relationship between both variables. Happiness at work is an important factor for the workers, helping them to achieve the objectives set by the institution.

The Seifert–van Kampen theorem is a fundamental tool in algebraic topology that allows calculating the fundamental group of
a topological space by decomposing it into simpler subspaces. In this article, we explore the mathematical principles of the theorem, its formal
formulation, and its relevance to engineering problems. Applications in the modeling of complex structures, analysis of mechanical systems
and electrical circuits are presented, highlighting the usefulness of the theorem to address connectivity and stability problems. The article seeks
to promote the use of topological tools in modern engineering contexts.

Abstract– The purpose of this work in progress is to conduct an implemented research with public health and digital marketing components, taking a sample in a university population, from which previous information has been collected using a survey instrument. An experimental group of this sample will be exposed to a dengue prevention campaign which will be optimized with artificial intelligence and neuromarketing, while a control group will not be exposed to said campaign. Subsequently, both groups will receive a follow-up survey and the percentage of variation in dengue prevention behaviors will be analyzed, as well as the variations in the response means between both groups. The objectives of the research are to verify the usefulness of artificial intelligence and neuromarketing technology to design efficient social marketing campaigns to provoke positive behavioral changes in society. The methodology is mixed, quantitative and qualitative, with pre-survey and follow-up instruments, focus groups for the implementation of neuromarketing and subsequent refinement of the advertising campaign with artificial intelligence. Statistical analysis with T test will be used to verify differences in the response means of the groups. The previous survey was conducted with the result that 78.2% consider that these preventive measures are being applied in their homes.