Contemporary post-industrial urban areas face opposing transformation trends: on one hand, abandonment or underutilization, and its replacement by new constructions and uses, on the other hand, the revaluation of the historical fabric and the implementation of initiatives to rehabilitate this legacy as industrial heritage. This study aimed to understand the factors that influence trends, and simulate land-use scenarios. A methodology based on three phases is proposed: digitization, exploratory spatial data analysis and simulation. Using the former textile district of Bellavista in Tomé (Chile), this study created and used historical land-use maps from 1970, 1992 and 2019. Meanwhile the main change observed from 1970 to 1992 was a 59.4% reduction in Historical Informal Open Spaces. The major change from 1992 to 2019 was the Historical Informal Open Space loss trend continuing; 65% of the land dedicated to this use changed to new usages. Consequently, the influence of two morphological factors and three urban management instruments on land-use changes between 1992 and 2019 was studied. The projection to 2030 showed a continued trend of expansion of new housing uses over historic urban green spaces and industrial areas on the waterfront, although restrained by the preservation of the central areas of historic housing and the textile factory.

El objetivo de esta investigación fue determinar el nivel de conocimiento sobre la alimentación saludable entre los estudiantes de la Universidad Adventista de Chile, analizado por facultad, carrera y sexo. Esta investigación de corte transversal no probabilístico, conformada por 322 estudiantes, de los cuales 220 son mujeres y 102 hombres. Se aplicó una prueba de conocimiento sobre alimentación saludable basada en las recomendaciones de la Organización Mundial de la Salud (WHO). Los resultados se analizaron utilizando el programa estadístico JAMOVI 3.2.21, considerando una significancia de P= 0,05. La Facultad de Salud (FACS) mostro un mejor nivel de conocimiento respecto de la alimentación saludable. Las mujeres de las carreras de Pedagogía en Educación Física, Pedagogía en Inglés, Contador Auditor, Ingeniería Civil Industrial presentaron nivel de conocimiento medio, mientras que los hombres en general mostraron un nivel bajo de conocimiento. Las carreras con mayor nivel de conocimiento en ambos sexos fueron Enfermería y Nutrición y Dietética. Esta investigación revela que el nivel de conocimiento sobre alimentación saludable es “medio” y “bajo” entre los estudiantes de la Universidad Adventista de Chile en Chillán. Estos datos pueden ser considerados por autoridades universitarias y gubernamentales para implementar programas de promoción de alimentación saludable, especialmente dirigidos a mejorar el conocimiento entre los hombres, con el fin de prevenir enfermedades en el futuro. Palabras claves: Alimentación saludable; Universitarios; Hábitos alimenticios; Salud; Conocimiento. The objective of this research was to determine the level of knowledge about healthy eating among students at the Adventist University of Chile, analyzed by faculty, major and sex. This non-probabilistic cross-sectional research, made up of 322 students, of which 220 are women and 102 men. A knowledge test on healthy eating was applied based on the recommendations of the World Health Organization (WHO). The results were analyzed using the JAMOVI 3.2.21 statistical program, considering a significance of P = 0.05. The Faculty of Health (FACS) showed a better level of knowledge regarding healthy eating. Women in the Pedagogy in Physical Education, Pedagogy in English, Accountant Auditor, and Civil Industrial Engineering programs presented a medium level of knowledge, while men in general showed a low level of knowledge. The majors with the highest level of knowledge in both sexes were Nursing and Nutrition and Dietetics. This research reveals that the level of knowledge about healthy eating is “medium” and “low” among students at the Adventist University of Chile in Chillán. These data can be considered by university and government authorities to implement healthy eating promotion programs, especially aimed at improving knowledge among men, in order to prevent diseases in the future. Keywords: Healthy eating; University students; Dietary habits; Health; Knowledge.

In line with UNESCO’s Historic Urban Landscape approach, this study highlights the need for integrative tools that connect heritage conservation with broader urban development dynamics, balancing preservation and growth. While several machine-learning models have been applied to analyse the drivers of urban change, there remains a need for comparative analyses that assess their strengths, limitations, and potential for combined applications tailored to specific contexts. This study aims to compare the predictive accuracy of three land-use change models (Random Forest, Logistic Regression, and Recursive Partitioning Regression Trees) in estimating the probability of land-use transitions, as well as their interpretative capacity to identify the main factors driving these changes. Using data from the Bellavista neighborhood in Tomé, Chile, the models were assessed through prediction and performance metrics, probability maps, and an analysis of key driving factors. The results underscore the potential of integrating predictive (Random Forest) and interpretative (Logistic Regression and Recursive Partitioning Regression Trees) approaches to support heritage planning. Specifically, the research demonstrates how these models can be effectively combined by leveraging their respective strengths: employing Random Forest for spatial simulations, Logistic Regression for identifying associative factors, and Recursive Partitioning Regression Trees for generating intuitive decision rules. Overall, the study shows that land-use change models constitute valuable tools for managing urban transformation in heritage urban areas of intermediate cities.

This paper studies the goodness of fit test for the bivariate Hermite distribution. Specifically, we propose and study a Cramér–von Mises-type test based on the empirical probability generation function. The bootstrap can be used to consistently estimate the null distribution of the test statistics. A simulation study investigates the goodness of the bootstrap approach for finite sample sizes.

La estructura de costos es un factor determinante en la gestión financiera y estratégica de las compañías, puesto que influye directamente en su capacidad para generar rentabilidad y mantener competitividad en los mercados dinámicos a los que se ven enfrentados hoy en día. Este estudio analiza la relación entre el porcentaje de costos fijos y la rentabilidad operativa en empresas del sector sanitario en Chile. Se emplea una base de datos con información financiera de 13 empresas durante el periodo 2015-2024. El objetivo es determinar si una mayor proporción de costos fijos influye negativamente en el margen operativo, y si esta relación cambia en períodos de crisis como fue la pandemia de covid-19. Se aplican modelos de regresión lineal, y pruebas estadísticas como ANOVA, y chi-cuadrado. Los resultados indican una correlación negativa y significativa entre la proporción de costos fijos y el margen operativo, siendo más pronunciada en el periodo pre pandemia. Durante y después de la pandemia, si bien se mantiene la relación negativa, su intensidad disminuye. Este estudio aporta evidencia empírica relevante para la toma de decisiones estratégicas en sectores con alta rigidez de costos, sugiriendo que estructuras más flexibles pueden mejorar la resiliencia financiera.