Minerva
https://minerva.autanabooks.com/index.php/Minerva
<p><strong>Minerva</strong> represents a new version of Multidisciplinary Scientific Journals. It is intended to collect high-quality research and academic scientific material, produced by scientists and researchers at a Latin American and global level to disseminate teaching and research work.</p>Autanabooksen-USMinerva2697-3650Sustainable Energy Utilization Assessed Through a Multi-criteria Approach from Biogas Produced with Filter Cake
https://minerva.autanabooks.com/index.php/Minerva/article/view/219
<p>This study examines the technical, economic, social, and environmental feasibility of generating electricity from biogas derived from filter cake, an organic byproduct of industrial processes. Assuming a daily substrate availability of 20,000 kg, the estimated biogas production was 187 m³/h, yielding an electrical output of 874 kWe. Multicriteria decision analysis methods, including AHP, TOPSIS, and ELECTRE, were applied to evaluate the project. The results demonstrate strong performance in the environmental, social, and technical dimensions but reveal significant economic constraints. Situated in the Bolivian context, this research highlights the potential for energy recovery from organic waste in emerging economies while underscoring the need for policy incentives and operational scaling to ensure financial viability.</p>Franyelit SuárezJose Luciano Maldonado
Copyright (c) 2025 Franyelit Suárez, Jose Luciano Maldonado
https://creativecommons.org/licenses/by/4.0/deed.es
2025-09-172025-09-1761881810.47460/minerva.v6i18.219El rol de la inteligencia artificial en técnicas no invasivas para el diagnóstico del cáncer oral
https://minerva.autanabooks.com/index.php/Minerva/article/view/220
<p>Artificial intelligence (AI) is a promising tool for detecting oral cancer, as it is less invasive and costly, and has a high potential for accuracy. In this context, this study aimed to explore the application of AI for the early detection of oral cancer, its applications, and its future potential. To this end, a five-stage literature review was conducted in the Scopus, Scielo, and Latindex databases (2019-2024). The results revealed that AI performs effectively in the diagnosis of oral cancer, thanks to its ability to identify patterns, rapidly analyze data, perform classification tasks, and other capabilities. It was concluded that AI still faces several challenges that must be overcome; therefore, it is expected that, in the future, AI will continue to develop and be definitively integrated into oncological processes.</p>Raul Antonio Rojas Ortega Marya Graciela Barzola LoayzaChristian Esteban Gomez CarrionRuth Asela Saravia Alviar
Copyright (c) 2025 Raul Antonio Rojas Ortega , Marya Graciela Barzola Loayza, Christian Esteban Gomez Carrion, Ruth Asela Saravia Alviar
https://creativecommons.org/licenses/by/4.0/deed.es
2025-09-182025-09-18618192910.47460/minerva.v6i18.220Academic Cyberplagiarism as a Practice of Dishonesty in Engineering Students
https://minerva.autanabooks.com/index.php/Minerva/article/view/223
<p>This article examines academic cyberplagiarism as a form of dishonesty among engineering students, integrating historical, theoretical, and practical perspectives. Despite changes in its discursive representation, plagiarism continues to be regarded as both a moral and legal infraction. A non-experimental, quantitative, cross-sectional research design was employed. The study sample consisted of 360 engineering students, along with 200 academic papers reviewed for evidence of cyberplagiarism. The findings reveal that most students engage in practices such as downloading complete papers, copying paragraphs, or removing citations, primarily driven by lack of time and the pursuit of higher grades. The results also indicate a prevailing belief that all online content is freely available for use. Notably, 92\% of the reviewed works lacked proper bibliographies and contained fragments of digital documents.</p>Jean Carlos Diaz SaraviaJuan Carlos Hihuana HallasiMary Victoria Duenas LunaFerdinand Eddington Ceballos BejaranoLudwin David Huacasi Anamuro
Copyright (c) 2025 Jean Carlos Diaz Saravia, Juan Carlos Hihuana Hallasi, Mary Victoria Duenas Luna, Ferdinand Eddington Ceballos Bejarano, Ludwin David Huacasi Anamuro
https://creativecommons.org/licenses/by/4.0/deed.es
2025-09-242025-09-24618303810.47460/minerva.v6i18.223