En este trabajo se han analizado datos de la columna total deozono derivados de las mediciones realizadas por el Espectrómetro de Mapeo deOzono Total de la Sonda de la Tierra (Eptoms) de la Administración Nacionalde Aeronáutica y del Espacio (NASA), valorando su idoneidad para la prediccióndel índice ultravioleta (UV) para la ciudad de Puno (15.83 latitud Sur y 70.03longitud Oeste). Al realizarse un análisis por año mediante ajustes de funcionessenoidal, se observa que el desfasaje varía de un año a otro. Asimismo, duranteel periodo estudiado (2005-2017) se encontraron tres fechas en las cuales sepresentaron agujeros de ozono: el 5 de febrero de 2010 y el 29 de abril del 2016se presentaron valores de 218 unidades Dobson (UD); y el 17 de mayo de 2005se presentó el valor de 219 UD. El comportamiento de columna de ozono poraño ostenta una forma cíclica senoidal, como lo establece el ciclo estacional.

The objective of this research was to identify a model to estimate solar radiation for the Puno region based on extreme temperatures. For which seven models have been considered to estimate global solar radiation, to make the adjustments of the models, d a ta from the 2016-2018 period of the DAVIS meteorological station for the city of Puno were considered, where the coefficients of the models were adjusted considering 1097 data. To choose the appropriate model, the correlation coefficient between measured and estim a ted so la r radiation data was used. Then, the data measured by SENAMHI for the thirteen provinces of the Puno region have been considered. Concluding, it was possible to identify two models to estimate solar radiation in the Puno region, considering as input variable the difference in extreme temperatures and the latitude of the place, a correlation coefficient of 0.855 was obtained for the measured and estimated solar radiation data. . . . For the estimation of solar radiation in the Puno region, the data on extreme temperatures from SENAMHI for the thirteen provinces have been considered, reaching estimates of solar radiation through the regression model of order four.

The objective of the research was to determine the effects of the use of the GeoGebra software on the kinematic learning of a particle, in engineering students in the year 2021 in the city of Juliaca, in order to optimize the academic performance of the students. The type of research was experimental and the design that has been assumed is quasi-experimental considering two homogeneous groups, for the application of the GeoGebra software in the learning sessions, looking for what the student uses as a learning resource. The research sample has been made up of students in the second semester of the professional schoo l of textile engineering and clothing at the National University of Juliaca. For the collection of information, the test of knowledge of kinematics of a particle has been used, which was applied before and after the use of the GeoGebra software. The results of the investigation show that of 100%of the students in the experimental group, 16% are in the very good category in relation to the students in the control group, that 4% are in the very good category. Concluding, the effect produced by the applicatio n of GeoGebra software as a teaching resource in learning the kinematics of a particle was determined.

No abstract

Prolonged exposure to UV radiation is harmful and causes skin cancer. Currently, interested people get their UV radiation information from the weather forecast, which has a rough estimate and average for a given region. The research focuses on developing a mobile application using the mobile application development methodology with the objective of calculating UV index values in real time, considering the geographical position and time. The evaluation of the values calculated by the mobile application were validated by linear correlation with data obtained by the TUV model and measured by the meteorological station, obtaining values greater than 0.993 for both comparisons. It is determined that extreme values are presented between the hours of 11am to 14pm. Concluding that it is possible to implement mobile applications to determine UV index values for the Puno region.