Se evaluó la dosificación de coagulantes utilizando redes neuronales artificiales, enuna planta de agua potable ubicada en Perú (12° 00’ 00" S y 75° 11?’ 00" W) a3420m, donde la calidad al ingreso es inestable debido a precipitaciones fluvialesque alteran sus propiedades fisicoquímicas. Se utilizó la “prueba de jarras” paraevaluar la dosis de coagulante (Al2SO4), considerando turbiedad, pH, conductividady sólidos disueltos, con temperatura y caudal promedio de 10° C y 148 L/s. Los datosde once meses fueron usadas para entrenar diversas tipologías de redes, siendo lade regresión generalizada la que presentó un rendimiento de 97,77 % y evidencióque los factores más influentes son los sólidos disueltos, la turbidez, la conductividady el pH, con 42,79 , 32,43 , 10,33 y 7,26 %, respectivamente.
The study is carried out in a domestic wastewater treatment plant (DWWTP) in the city of Morococha in Peru, with a population of 9 thousand inhabitants, at an altitude of 4200 m.a.s.l., has a processing capacity of 1620 m3 /day with a flow that is not constant, focuses on secondary treatment consisting of a sequential biological reactor (SBR) of aerobic technology. The problem is the excess flow in certain periods of time and the incoming wastewater was not processed in an optimal way, as an objective a redesign of the bioreactor was proposed, incorporating a Rushton Turbine of 6 horsepower (H.P.) of power with 6 propellers and dimensioned according to mathematical models, the results were the improvement of effluent quality for turbidity, dissolved oxygen, pH and residual chlorine, improving the reaction speed, and controlling the treatment flow, providing a better quality effluent to the receiving body which is a nearby river in this way the negative environmental impacts are reduced for the population.
Educational activities have changed due to the pandemic and it was necessary to respond by giving continuity to the formative processes with virtual platforms as it happened at the Universidad Nacional del Centro del Perú - School of Social Work. The objective was to know the level of satisfaction of students in the use of the virtual platform chosen, using the Questionnaire for the evaluation of learning environments in distance education (Sp-DELES) of 42 questions with dimensions: teacher support, student interaction and collaboration, personal relevance, real learning, active learning, autonomy and satisfaction. A total of 213 students were consulted, the instrument was distributed digitally and anonymously. For the descriptive analysis, the results were ranked in three response categories: agree, indifferent and disagree; the Autonomy dimension was valued with 69.01% agreement and 9.39% disagreement. The dimension with the lowest appreciation was Satisfaction with 25.35% agreement and 28.64% disagreement. Structural equation modeling was performed with SmartPLS, obtaining that Faculty support (FS) and Active learning (AL) have a direct relationship with Satisfaction (S) in the use of the virtual platform with beta values (β) of 0.279 and 0.872 respectively. Contrarily, Real learning (RL) and Autonomy (A) have an inverse relationship with Satisfaction (S) with beta values (β) of -0.025 and -0.122 respectively. The study reflects that there is no relationship between Interaction and Communication among Students (ICS), Personal Relevance (PR) and Satisfaction (S) as the p-values were greater than 0.05. The value of the coefficient of determination (R2) was 0.778 being the representative model. The study is non-experimental, descriptive, explicative and cross-sectional.
Digital governance, institutional development and public higher education in Huancayo-Perú in the new situation where remote activities are prioritized, the use of information technologies has increased in the different activities of organizations, allowing them to provide adequate services in an efficient way. The research seeks to establish the relationship between digital governance and institutional development in public higher education in Huancayo - Perú. Basic research with a quantitative approach and correlational level with a sample of 828 people made up of teaching staff, administrative staff and students who interact with the administrative activities of the UNCP. The data analysis and modeling was performed through structural equations based on PLS. As a result of the research, a value of 0.815 was obtained in Spearman's Rho and a significance level of .000, which indicates a high positive relationship, also the general hypothesis that establishes that there is a significant relationship between digital governance and institutional development is accepted.
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