This article presents a dataset and experimental evaluation of a parallelized variant of Junker’s QuickXPlain algorithm, designed to efficiently compute minimal conflict sets in constraint-based diagnosis tasks. The dataset includes performance benchmarks, conflict traces, and solution metadata for a wide range of configurable diagnosis problems based on real-world and synthetic CSP instances. Our parallel variant leverages multicore architectures to reduce computation time while preserving the completeness and minimality guarantees of QuickXPlain. All evaluations were conducted using reproducible scripts and parameter configurations, enabling comparison across different algorithmic strategies. The provided dataset can be used to replicate experiments, analyze scalability under varying problem sizes, and serve as a baseline for future improvements in conflict explanation algorithms. The full dataset, codebase, and benchmarking scripts are openly available and documented to promote transparency and reusability in constraint-based diagnostic systems research.

This article examines patterns of enrollment, academic performance, and dropout among women in engineering programs at the State University of Milagro (UNEMI), Ecuador, between 2016 and 2023. Using a quantitative approach that combines descriptive statistics with exploratory factor analysis, the study identifies critical obstacles affecting the academic persistence of female students. Results show a 291% increase in female enrollment following the implementation of institutional policies focused on inclusion and the expansion of virtual education, reflecting the cumulative growth rate in female enrollment from 296 students in 2016 to 1158 in 2023. However, this growth coincided with a decline in pass rates and an increase in dropout levels. Among the main factors influencing student attrition are financial limitations associated with transportation, access to technology, and study materials. Additional elements include motivational aspects and insufficient academic preparation. The findings highlight the importance of strengthening institutional strategies that promote academic equity, create inclusive learning environments, and respond effectively to the personal and structural challenges that women face in engineering education. This study contributes empirical evidence that can inform university policies and public initiatives aimed at fostering greater participation and success for women in science and technology fields.

En un mundo empresarial más competitivo, se hace necesario contar con una gestión eficiente de las finanzas. En esta investigación exploraremos como los softwares especializados pueden revolucionar las empresas, permitiéndoles la automatización de tareas, la generación de informes detallados, que le permitirán conocer de una manera más eficaz la situación de la empresa, mejorando su eficiencia y por ende maximizar su valor. El objetivo de la investigación es describir como los softwares para el manejo de las finanzas maximiza el valor de las empresas. El método utilizado fue de tipo bibliográfico-documental, ya que se recurrió a la revisión y consulta de diferentes fuentes. El desarrollo de la investigación permitió conocer que los softwares para el manejo contable y financiero de una organización son esenciales para que una organización pueda minimizar los tiempos de sus procesos internos, obteniendo información oportuna, veraz y en corto tiempo, lo cual contribuye a la toma de decisiones más asertivas, sin embargo, su implementación dependerá de las necesidades de la empresa y si se cuenta tanto con la plataforma física y económica para la puesta en marcha.