https://repositorio.utem.cl/handle/30081993/1526 Sun, 19 Apr 2026 17:44:34 GMT 2026-04-19T17:44:34Z https://repositorio.utem.cl/handle/30081993/1539 Alejandro «Mono» González: la desaparición de una extrema visibilidad. Rodríguez Plaza, Patricio Reseña: Semblanza de Alejandro «Mono» González, muralista y escenógrafo chileno. Pag. 38 – 43, fotografías. Sun, 01 Jan 2023 00:00:00 GMT https://repositorio.utem.cl/handle/30081993/1539 2023-01-01T00:00:00Z https://repositorio.utem.cl/handle/30081993/1538 Juan José Saldaña González: adelantado de la historia de la ciencia en América. Saldivia Maldonado, Zenobio Reseña: Se resalta el aporte académico de Juan José Saldaña González, Historiador, primer doctorado en Historia de las Ciencias por la Université de Paris I. Pag. 34 – 37, fotografías. Sun, 01 Jan 2023 00:00:00 GMT https://repositorio.utem.cl/handle/30081993/1538 2023-01-01T00:00:00Z https://repositorio.utem.cl/handle/30081993/1532 Structured grammatical evolution for modeling the multi-band light curves of supernova. Pilataxi, Jhon; Fierro Flores, Nicolás Supernovas (SNs) have been one of the most studied events in astronomy. However, there are still no models capable of describing this phenomenon in a general and accurate way. These models generally seek to describe a single type of supernova, requires multiple parameter’s values and often do not distinguish between the different light bands of the same curve. Structured grammatical evolution allows the generation of a model with data and a given basal structure, which can be designed considering the nature of the problem for which we are looking for a model. In this case, with some mathematical assumptions we can generate a symbolic regression to obtain a model for different types of SNs and for each light band. We can also use this algorithm to fit the parametric model of the supernova and obtain the value of the variables needed to model it. Pag. 24 – 31, tablas y gráficos. Sun, 01 Jan 2023 00:00:00 GMT https://repositorio.utem.cl/handle/30081993/1532 2023-01-01T00:00:00Z https://repositorio.utem.cl/handle/30081993/1531 Smart irrigation through water consumption: prediction. Poveda, Ian; Fuentealba, Diego; Ruminot Ahumada, Nicolás; Montejo Sánchez, Samuel Irrigation is an important factor in agriculture, savingup to 50% when it is smart. This work addresses smart irrigation through an IoT prototype that uses a prediction model trained with secondary data to predict how much water to irrigate. The results showed that the best model is with TCN, achieving an R2 of 0.91 for 1 day and 0.86 for 7 days. This model is implemented in a functional prototype applied to mints that seeks to test its use in a real crop. Pag. 18 – 23, imágenes. Sun, 01 Jan 2023 00:00:00 GMT https://repositorio.utem.cl/handle/30081993/1531 2023-01-01T00:00:00Z