REICIT

Editorial

2025-07-22T21:04:41+00:00

Applications of Artificial Intelligence in Higher Education:

2025-07-09T19:50:32+00:00

Artificial intelligence (AI) is rapidly transforming teaching and learning methods in higher education. This study focuses on analyzing the impact of AI on teaching-learning processes at the Faculty of Engineering, University of Panama. Through literature review, qualitative data collection, and surveys administered to students, the study identified the main AI tools used, their frequency of use, and students’ perceptions of their academic effectiveness. The findings show that AI-based technologies—such as intelligent tutors, adaptive learning platforms, and chatbots—have improved learning personalization, feedback, and access to educational resources. However, challenges such as misuse, lack of institutional regulation, and inequalities in technological access were also highlighted. The study concludes that while AI presents significant benefits for education, its implementation requires an ethical, regulated, and equitable approach to truly optimize learning outcomes.

Influence of Time and Storage Conditions on the Germination of Allium cepa seeds

2025-07-09T20:02:04+00:00

Seeds are one of the most important inputs for onion (Allium cepa L.) production. However, storage time and conditions can significantly affect their quality. The aim of this study was to evaluate how these factors influence seed germination. A completely randomized design (CRD) was used for the study, including six commercial seed cultivars (C1 – C6) stored for different periods (between 3 and 10 years) in a refrigerator at a temperature of 5 + 2° C and a relative humidity of 30 to 50%. Two seedling trays were prepared per cultivar, each with a capacity of 280 seedlings. After one month, three rows of 20 seedlings per cultivar were randomly selected to determine the germination percentage per row, applying the transformation using the equation: y = LN(x+1). An analysis of variance was performed at a significance level of 0.05, as well as exponential regression to evaluate the correlation between seed storage time and germination. The results showed significant differences between the treatments evaluated (F = 272.5616; p = 6.412 x 10^-12). The first group consisted of cultivars with 3.25 to 4.75 years of storage and an adequate average germination percentage (C1 = 95%; C2 = 91.67%; C3 = 91.67%; C4 = 86.67%). In contrast, the second group, which included cultivars stored for 4.5 to 10 years, showed poor germination (C5 = 31.67%; C6 = 11.67%). Exponential regression analysis revealed an inverse relationship between germination and storage time, with a considerable correlation (R² = 0.7556). In conclusion, storage of onion seeds under adequate conditions should not exceed 4 years from the date of packaging.

Power Outages and Water Shortages in Panama:

2025-07-09T20:16:45+00:00

Recurrent power outages in Panama have caused significant disruptions in the supply of drinking water, especially in urban areas such as San Miguelito. This study was conducted to assess the interdependence between electrical and water supply systems in Panama, and to propose solutions to mitigate the impact of power outages on water distribution. A systematic literature review was combined with the development of analysis matrices and a sensitivity analysis, evaluating the effectiveness of different interventions such as improving backup infrastructure and diversifying energy sources. It was found that the installation of emergency generators can significantly reduce the impact of power outages, while energy diversification offers a long-term solution. The proposed interventions improve the resilience of the water supply, but their implementation faces financial and regulatory challenges.

Comparison of Sustainable Construction Practices in Buildings and Infrastructure Between Panama and Colombia, 2025

2025-07-09T20:24:21+00:00

This study compares sustainable construction practices in buildings and infrastructure between Panama and Colombia, considering their regulatory frameworks, technological advances, and socio-environmental contexts. The research used a systematic literature review, regulatory analysis, sustainability indicators, and emblematic case studies.

Colombia stands out for its regulatory-participatory model, which prioritizes social inclusion and community projects, such as the Nueva Colonia neighborhood, while Panama excels in the implementation of advanced technologies in urban projects, such as the Panama Metro Line 3. However, both countries face common challenges, such as water resource management and carbon emission reduction.

Key differences were identified in their approaches: Colombia advances in community participation and detailed regulations, but faces obstacles of corruption and territorial inequality. On the other hand, Panama shows technological efficiency, although with dependence on external financing and limitations in rural areas.

The study highlights the need for a binational approach that combines the strengths of both countries. It proposes harmonizing sustainable certifications, promoting the use of eco-efficient technologies, and improving social equity in public policies. These lessons can be applied to other Latin American contexts, promoting sustainable construction practices that integrate technological innovation, social inclusion and climate resilience.

The Importance of the Response Spectrum in Seismic Design:

2025-07-09T20:32:33+00:00

The Importance of Response Spectrum in Seismic Design. It is undoubtedly a primary approach to structural design. The main objective of this article is to provide a clear conceptual definition of the design spectrum. It seeks to help readers understand how this concept is crucial for estimating seismic loads and ensuring the safety of buildings and infrastructure in the presence of earthquakes of various magnitudes. Methods and Techniques Used. This paper follows a theoretical and explanatory approach, using fundamental concepts of structural engineering, showing them in a simpler way. Recalling how these diagrams were developed and how they are implemented in the ASCE 7-05 standard and the Panamanian Structural Regulation REP 2021. No experimental methods or specific techniques are used, but a technical, investigative and conceptual analysis. Development: 55% of the students who graduated from the building engineering or infrastructure engineering courses of the engineering faculty during conversations had doubts about the origin of the graph and how it was interpreted in professional practice. Our interest is to provide a simple form, based on current regulations and demonstrate that this concept, is key to the design by resistance and service of structures in our country. Conclusions: Understanding its definition and the way it is constructed according to current regulations is the way to estimate the seismic demand.

Towards a Data Governance Model:

2025-07-09T20:39:58+00:00

Effective data management has become a determining factor for institutional success in contemporary education. This study assessed the level of data management maturity at the San Miguelito Regional University Center by applying DAMA's Data Management Maturity (DMM) model. The research adopted a mixed methodological design (qualitative-quantitative) with a descriptive-propositional approach. The study population consisted of 14 university administrators with direct responsibilities in technological data management, using purposive non-probability sampling. Data collection was carried out using a questionnaire based on Gartner's data maturity model (DAMA's Data Management Maturity Model or DMM), complemented by a document review. The results revealed that the institution is at an intermediate level of maturity, with strengths in basic data management, but weaknesses in systems integration, information quality, and data governance. Barriers such as a lack of staff training and a lack of clear policies were identified. Based on these findings, strategies are proposed to strengthen governance, improve data quality, integrate systems, and train staff. In conclusion, this study provides a comprehensive assessment of the data management maturity level at the San Miguelito Regional University Center and offers practical recommendations for optimizing its processes.

Sustainable Architectural Design to Reduce Environmental Impact in Buildings in Panama, 2025

2025-07-09T20:52:41+00:00

Anteroom: The importance of this research lies in the vulnerability of our country to climate change, electricity consumption, good use of materials attributed to the construction industry and the long-term economic benefits. The general objective of this research is to design architecturally sustainable buildings in Panama in the year 2025 adapted to reduce environmental impact. When referring to the scope, we must mention that it will be focused on energy efficiency, water management, use of sustainable materials, reduction of waste in construction and quality of life within buildings in Panama City by 2025. As for the research methods and techniques used, it would be correlational-explanatory since we analyze how certain sustainable design strategies are related to the reduction of environmental impact. It maintains an orientation towards a qualitative approach under an explanatory purpose established within a transversal design through the analysis of texts and cases to know patterns or meanings in order to interpret phenomena that occur in our nation. When referring to the main results, we can affirm that the following are obtained: Between 30%-70% savings in electricity with the integration of solar panels and efficient technology, 30%-80% reduction in construction waste through recycling strategies, as well as the use of sustainable materials and the emergence of 50%-90% reuse of materials in modular buildings or with circular economy criteria. In conclusion, sustainable architectural design in Panama not only responds to the need to mitigate climate change but also generates economic and social benefits with our fellow countrymen. Efficient buildings reduce operating costs, improve quality of life and promote a culture of environmental responsibility, positioning the country as a benchmark in sustainable development in the region.

On Neural Networks and Load Forecasting in Electric Generation and Distribution Systems, Panama, 2010

2025-07-09T21:06:33+00:00

This paper addresses load forecasting in electrical distribution networks using a methodology that is not limited to a single variable, but rather selects and analyzes multiple variables related to load prediction, using viable data from real-world network scenarios. Several future lines of research are proposed, such as the integration of the methodology into real-time systems to

monitor network variables and generate hourly forecasts, as well as the incorporation of intelligent systems that automatically respond to outages and allow queries on historical data and load factors. Furthermore, it is suggested that the models be improved using techniques such as MLP networks, genetic algorithms to optimize neural network parameters, and the joint application of neural models and wavelet transforms to filter noise in data series and improve prediction accuracy. These proposals seek to increase the effectiveness and applicability of the methodology in real-world operating environments.

Effectiveness of the Therapeutic Protocol Applied to Snakebite Patients Treated in the Emergency Room of a Public Hospital in the Province of Veraguas. January-december, 2021

2025-07-09T21:18:24+00:00

A quantitative study was carried out with the aim of determining the level of effectiveness of the therapeutic protocol applied to patients treated with snakebite in the Emergency Room of the Luis Chicho Fábrega Hospital, in the period corresponding to January-December 2021. The study was descriptive, cross-sectional and retrospective, with a universe of 235 male and female cases, of which all patients who met the inclusion criteria were taken as a sample, made up of 194 cases. The Microsoft office Word 2017 program was used to write the final report, the SPSS statistical program and Excel 2013 for making graphs and tables. The information was obtained through the application of the Clinical management according to therapeutic standard instrument by the authors Solís-Tinoco with the direct review of the patients' clinical records. The compliance analysis of the protocol was carried out based on the four fundamental pillars of therapeutic management: area of ??bite location, indication of laboratory tests, administration of anti-venom serum and antimicrobial coverage. The results determined that the identification of the clinical picture according to signs and symptoms presented by the patient in relation to their level of toxicity, according to the applied protocol were: 23% cases of absent poisoning, 33% mild, 40% moderate and 4% severe. It was concluded that therapeutic compliance according to the Standard of care for poisoned patients in such cases was 77.3% in relation to the administration of anti-venom serum, the performance of laboratory tests and complementary examinations necessary for the evaluation of the damage of toxins by the venom to the different organs was 100%, the same percentage for antimicrobial coverage.

Artificial Intelligence and its effectiveness in the classroom. Study Case of High School

2025-07-09T21:34:37+00:00

This study examined the perception and adoption of artificial intelligence (AI) in secondary education through a participatory workshop held at Unidad Educativa 29 de Agosto, located in Mata de Cacao, Babahoyo, Ecuador. Twenty teachers were randomly selected using convenience sampling. The results indicated a significant shift in teachers' perceptions of AI after the workshop, with positive perceptions increasing and negative ones decreasing. Teachers expressed high satisfaction with the workshop, particularly regarding its content, instructor quality, and practical applicability. Despite the perceived benefits, teachers voiced concerns about data privacy and technological dependence, highlighting the need for clear policies and continuous support. This study underscores the importance of training and balancing technology with human interaction for the effective adoption of AI in education.