COVID-19 has caused an economic crisis in the business world, leaving limitations in the continuity of the payment chain, with companies resorting to credit access. This study aimed to determine the optimal machine learning predictive model for the credit risk of companies under the Reactiva Peru Program because of COVID-19. A multivariate regression analysis was applied with four regressor variables (economic sector, granting entity, amount covered, and department) and one predictor (risk level), with a population of 501,298 companies benefiting from the program, under the CRISP-DM methodology oriented especially for data mining projects, with artificial intelligence techniques under the machine learning Lasso and Ridge regression models, with econometric algebraic mathematical verification to compare and validate the predictive models using SPSS, Jamovi, R Studio, and MATLAB software. ...

This research aims to study the influence of the dimensions of the teaching evaluation in the academic performance of the students of the Faculty of Engineering and Architecture. The dimensions of the independent variable are based on instruments of academic management, the unit of analysis (the own Faculty) used every six months, these are: ethical-social aspect, teaching professional performance and spiritual aspect. In addition, they are based on the model of The Philosophy of Seventh-day Adventist Education, supported by Edward M. Cadwallader. The problem being addressed is to know what are the scenarios resulting from therelationships of both variables to support the administration of the Faculty in the decisions arising from these scenarios. This study is descriptive, experimental, correlational and transversal type. Can find the theorisation of the study variables, the formulation...

This research aims to study the influence of the dimensions of the teaching evaluation in the academic performance of the students of the Faculty of Engineering and Architecture. The dimensions of the independent variable are based on instruments of academic management, the unit of analysis (the own Faculty) used every six months, these are: ethical-social aspect, teaching professional performance and spiritual aspect. In addition, they are based on the model of The Philosophy of Seventh-day Adventist Education, supported by Edward M. Cadwallader. The problem being addressed is to know what are the scenarios resulting from therelationships of both variables to support the administration of the Faculty in the decisions arising from these scenarios. This study is descriptive, experimental, correlational and transversal type. Can find the theorisation of the study variables, the formulation...

Esta investigación tiene por objeto estudiar la influencia de las dimensiones de laevaluación docente en el rendimiento académico de los estudiantes de la Facultad deIngeniería y Arquitectura. La dimensiones de la variable independiente están basadasen instrumentos de gestión académica que la unidad de análisis (la Facultad) utilizasemestralmente, estos son: aspecto ético-social, desempeño profesional docentey aspecto espiritual; que además están basados en el modelo de la Filosofía de laeducación adventista, sostenido por Edward M. Cadwallader. El problema que seaborda consiste en saber cuáles son los escenarios resultantes de establecer lasrelaciones de ambas variables para apoyar a la Administración de la Facultad en lasdecisiones que puedan surgir de estos escenarios. Este estudio es de tipo descriptivo,no experimental, correlacional y transversal. Se puede encontrar ...

Objectives: Determine the characterization of the diet in biochemical and anthropometric profiles with the analysis of the principal components in obese Ecuadorian patients. Methods: Descriptive, comparative, longitudinal studies; we had access to the institutional health clinical history database and a study group was formed, they were offered a low-carbohydrate diet. The sample consisted of 110 obese patients from the Hospital of Guayaquil-Ecuador. Results: The patients were between the ages of 25 to 65 years. The results showed a significant loss of BMI (kg/m2) (Δ-2,6±1.9) (p<0,001), waist circumference (cm) (Δ-5,1±4,7) (p<0,001), body fat (%) (Δ-3,6±3,6) (p<0,001), triglycerides (mg/dL) (Δ-25,4±72,9) (p<0,001) and glucose (mg/dL) (Δ-6,8±9,6) (p<0,001). Conclusion: The low carbohydrate diet reduces BMI, waist circumference, body fat, triglycerides and glucose ...

This research has been designed with the objective of analyzing the indicators of teacher motivation and performance to determine a factorial model of prediction in teachers. The methodology corresponds to a quantitative approach of a predictive nature, for this, two instruments were used and they were applied to two populations: the motivation instrument was applied to teachers and the teacher performance instrument, to students of the 4th and 5th year of secondary level. The participants were made up of 59 teachers and 197 students. The KMO index was 0.636, this allowed a factor analysis that follows a methodological process of seven well-defined phases. The results yielded three clusters: extrinsic and transcendental motivation (cluster 1); intrinsic motivation (cluster 2); and teaching performance (cluster 3) in which two eigenvalues ​​greater than 1 were obtained, allowing us to...

This research has been designed with the objective of analyzing the indicators of teacher motivation and performance to determine a factorial model of prediction in teachers. The methodology corresponds to a quantitative approach of a predictive nature, for this, two instruments were used and they were applied to two populations: the motivation instrument was applied to teachers and the teacher performance instrument, to students of the 4th and 5th year of secondary level. The participants were made up of 59 teachers and 197 students. The KMO index was 0.636, this allowed a factor analysis that follows a methodological process of seven well-defined phases. The results yielded three clusters: extrinsic and transcendental motivation (cluster 1); intrinsic motivation (cluster 2); and teaching performance (cluster 3) in which two eigenvalues ​​greater than 1 were obtained, allowing us to...