It was determined the parameters of thermal treatment for the maximum retention of color (5,83 %) and texture (2,29 %) of canned green beans (Vicia faba L.) in brine, to processing temperature 126,7 °C for a time of 8,69 minutes, by Jen et al method. The tests were made with green beans from Mantaro valley, in Peru. Likewise, was realized the evaluation of the thermal treatment to determinate characteristics of heat penetration in the slower warming point (3,8 cm from base of can) finding the following results: fh = 19,34 minutes, jh = 0,46; Tpsih = 95,6°C, fc = 16,67 minutes, jc = 1,11 and Tpsic = 123,2°C; and the times of processing, by Stumbo method, to temperatures 104,4; 110; 115,6; 121,1; 126,7 and 132,2°C, being the times of processing 108,79; 54,76; 24,72; 13,77; 8,69 and 5,51 minutes, respectively, to obtain in all cases the same value of F121,1°C of 3,15 minutes.

It was determined the parameters of thermal treatment for the maximum retention of color (5,83 %) and texture (2,29 %) of canned green beans (Vicia faba L.) in brine, to processing temperature 126,7 °C for a time of 8,69 minutes, by Jen et al method. The tests were made with green beans from Mantaro valley, in Peru. Likewise, was realized the evaluation of the thermal treatment to determinate characteristics of heat penetration in the slower warming point (3,8 cm from base of can) finding the following results: fh = 19,34 minutes, jh = 0,46; Tpsih = 95,6°C, fc = 16,67 minutes, jc = 1,11 and Tpsic = 123,2°C; and the times of processing, by Stumbo method, to temperatures 104,4; 110; 115,6; 121,1; 126,7 and 132,2°C, being the times of processing 108,79; 54,76; 24,72; 13,77; 8,69 and 5,51 minutes, respectively, to obtain in all cases the same value of F121,1°C of 3,15 minutes.

El trabajo de investigación titulado “Efecto de cinco especies de plantas biocidas para el control de plagas de dos hortalizas, en el distrito de Santa Ana, La Convención”, tuvo como objetivo principal determinar el efecto de la aplicación de plantas biocidas para el control de plagas de dos hortalizas (Lechuga y Repollo). La metodología de la investigación que se aplico es un diseño experimental de bloques completamente al azar (DBCA) de naturaleza multifactorial, considerando como factores las cinco plantas biocidas utilizadas (Ají, Barbasco, Ortiga, Higuerilla, Tabaco) y dos niveles de dosificación (50% de extracto y 33.33% de extracto) con un total de 10 tratamientos más 01 tratamiento testigo y 03 repeticiones, con un total de 33 unidades experimentales. Los resultados obtenidos de la investigación, referido a la efectividad de las plantas biocida para el control de pl...

Antecedente: Los Internos de Medicina, constituyen un grupo susceptible a sufrir estrés, más aún en determinadas situaciones que le generan incertidumbre y preocupación, experimenta situaciones que le enfrentan por primera vez con la muerte, el temor al contagio de enfermedades, entre otros, sumado a su inexperiencia, estilos de vida y entorno; vienen repercutiendo en la calidad de vida y convirtiéndose en factores generadores de estrés. Objetivo: Determinar los niveles de vulnerabilidad frente al estrés, niveles de ansiedad y niveles de depresión en los Internos de Medicina del Hospital III Goyeneche 2013 Métodos: Encuesta a los 51 internos del Hospital, aplicando el test de VulnerabilidadBienestar Psicosocial de Reinaldo Pérez Lovelle, y la escala de ansiedad y depresión hospitalaria HADS. El tipo de estudio fue observacional, prospectivo y transversal según Altman. El aná...

In this project, a differentiation is made between people through different parameters such as age, sex, educational level, among others, to try to calculate how much their salary could rise. This problem is important to solve because then a person could predict her future income through the decisions she would make in the present, such as how much education she should receive and when to start working to gain experience. Our procedure to solve this problem has been two statistical analyses, the first linear regression and a decision tree to be able to make a comparison between them, we have tested them using tools such as Colab (Python) and a dataset. Our population for our work was 32,000 records (rows). The results were that through the decision tree there was a precision of 0.88 and an accuracy of 0.82. And with respect to the logistic regression we obtained a precision of 0.80 when ...