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Item type:Publication, Soft Sensor Design for Restricted Variable Sampling Time(Elsevier, 2020-01-01)Difficult-to-obtain variables in industrial applications have led to the rise of soft sensors, which use prior system information and measurements to estimate these difficult-to-obtain variables. In real systems, the measurements that need to be estimated by a soft sensor are often infrequently measured or delayed. Sometimes, these delays and sampling time are variable in time. Though there are papers considering soft sensors in the presence of time delays and different sampling times, the variation of those parameters has not been considered when evaluating the adequacy of the soft sensors. Therefore, this paper will evaluate the impact of such variations for a data-driven soft sensor and propose modifications of the soft sensor that increase its robustness. The reliability of its estimate will be shown using the Bauer-Premaratne-Durán Theorem. Furthermore, the soft sensor will be simulated applying it to a continuous stirred tank reactor. Simulation showed that the modified soft sensor gives good estimates, whereas the traditional soft sensor gives an unstable estimate. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Relationship between inclusive education and its development with the philosophy of religion in Peru(2022-10-26)The essential purpose of this research study is to describe the relationship between inclusive education and its development with the philosophy of religion in Peru. Based on the primary data analysis for collecting the data, this research study used informative questions related to the independent and dependent variables. These data were gathered from people who know about inclusive education and development. Some questions were fulfilled by students of schools and colleges. The research study used smart PLS software and generated different results to investigate. Inclusive education and its development is the primary independent variable, including the physical environment, sensory attitude, expectations, and opportunities; these are all sub-parts of an independent variable. The philosophy of religion is the main dependent variable. The composite reliability, discriminant validity, R square, F square, total effects, significant analysis, and the fitness analysis model also describe the Algorithm model of smart PLS related to the inclusive education and development and philosophy of religion. The overall result found a positive and direct relationship between inclusive education and its development with the philosophy of religion in Peru. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Regime-switching, fiscal policy shocks and macroeconomic fluctuations in Peru(Elsevier BV, 2026-06-01)Following Chan and Eisenstat (2018a), we use a family of regime-switching models to analyze the evolution of fiscal shocks impacts on Peru’s economic growth from 1995Q1 to 2019Q4. Key findings include: (i) identification of two distinct economic regimes with different macroeconomic fundamentals tied to improvements in fiscal and monetary policy; (ii) enhanced model fit with the inclusion of regime switching volatility (RSV); (iii) a positive trend in the size of spending multipliers, though they remain below unity; (iv) during the 2008 Global Financial Crisis, capital expenditure shocks mitigated the decline in economic growth by 2 percentage points, highlighting their counter-cyclical potential. These findings are corroborated by robustness checks, which include changes in priors, variable reordering, adjustments in external and demand variables, and extending the sample to 2022Q4 to encompass the COVID-19 crisis.1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Motivación de logro y gestión del conocimiento en educación superior: una relación clave en la producción científica(LA Referencia, 2025-12-30)La presente investigación se centró en la relación existente entre la motivación de logro y la gestión del conocimiento en los estudiantes de posgrado de una universidad privada. Se realizó como un estudio descriptivo y correlacional que trabajó con una muestra de 85 estudiantes del último ciclo de una maestría en Administración de Negocios (MBA), bajo el enfoque cuantitativo, con diseño no experimental de tipo transversal (Vargas, 2020). Los instrumentos empleados fueron el CML05: cuestionario sobre motivación de logro (Marcos y Vargas, 2005); y el KM017: cuestionario motivacional sobre gestión del conocimiento (Vargas y Vargas, 2018), cuyos resultados se analizaron en dos niveles. En el descriptivo se calcularon medidas de tendencia central, medidas de dispersión y frecuencias, cuyos datos se sometieron a la prueba Kolmogorov-Smirvov (KS-Z) para comprobar la distribución normal entre variables; mientras que en el inferencial se utilizó el estadístico paramétrico coeficiente de correlación de Pearson (r). Finalmente, los resultados evidenciaron una relación positiva significativa de intensidad considerable entre la variable motivación de logro y la variable gestión del conocimiento. También se confirmó que, por separado, cada dimensión de la variable gestión del conocimiento mantuvo una relación positiva significativa con la variable motivación de logro.1