The study tackles the issue of tax compliance among SMEs in El Carmen–La Maná parish, aiming to develop a comprehensive tax compliance scale based on Fischer’s model. Employing a survey design and Principal Component Analysis (PCA), the study gathered data from a sample of 128 SMEs, using a 37-item instrument reflecting factors like tax rates, syst...
Resumen Se propone construir un índice acerca de los ciclos financieros del sector bancario en México, usando métricas de desempeño del G7 y el ACP. Se compara este indicador con los ciclos económicos y financieros nacionales, así también se analiza el comportamiento de las métricas antes, durante y después de la crisis financiera Subprime y la cri...
It is proposed to build an index about the financial cycles of the banking sector in Mexico, using performance metrics from the G7 and the ACP. This indicator is compared with the national economic and financial cycles, also the metrics behavior is analyzed before, during and after the financial Subprime and health COVID19 crises. It was found that...
Resting state functional magnetic resonance imaging (rs-fMRI) is one of the most relevant techniques in brain exploration. However, it is susceptible to many external factors that can occlude the signal of interest. In this order of ideas, rs-fMRI images have been studied adopting different approaches, with a particular interest in artifact removal...
The objective of this paper is to compare four dimension reduction techniques used for extracting the underlying systematic risk factors driving returns on equities of the Mexican Market. The methodology used compares the results of estimation produced by Principal Component Analysis (PCA), Factor Analysis (FA), Independent Component Analysis (ICA)...
Resumen Para identificar los principales procesos geoquímicos que determinan la composición química y la calidad del agua subterránea del Sistema Acuífero del Valle Medio del Magdalena - Colombia (SAVMM), se creó una base de datos con las caracterizaciones fisicoquímicas disponibles en las diferentes entidades gubernamentales y privadas ubicadas en...
This paper compares the dimension reduction or feature extraction techniques, e.g., Principal Component Analysis, Factor Analysis, Independent Component Analysis and Neural Networks Principal Component Analysis, which are used as techniques for extracting the underlying systematic risk factors driving the returns on equities of the Mexican Stock Ex...
[ES] En una comunicación inalámbrica, el mayor consumo energético se produce en el Amplificador de potencia (PA). Estos amplificadores trabajan de forma más eficiente en su zona de saturación, es decir, donde tienen un comportamiento no lineal, distorsionado. Para que el PA puede trabajar en esta zona manteniendo su comportamiento lineal, una de la...
Brazil faces a complex scenario of natural hazards, essentially as a direct result of its size, diversity and both its natural and social heterogeneity. In 2011, massive landslides were triggered by extreme rainfall that caused the so-called Mega disaster in the mountainous region of Rio de Janeiro. This paper describes the development of a social ...
[ES] En el presente proyecto se ha llevado a cabo una serie de análisis para caracterizar la demanda eléctrica del Centro de Especialidades Juan Llorens, ubicado en Valencia. Dichas caracterizaciones permiten conocer el comportamiento de la demanda eléctrica del centro sanitario en función de diversos parámetros externos. Las caracterizaciones han ...
