Fu Jen Catholic University

About: Fu Jen Catholic University is a education organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Population & Medicine. The organization has 6842 authors who have published 9512 publications receiving 171005 citations. The organization is also known as: FJU & Fu Jen.

The Physics of the B Factories

Abstract: This work is on the Physics of the B Factories. Part A of this book contains a brief description of the SLAC and KEK B Factories as well as their detectors, BaBar and Belle, and data taking related issues. Part B discusses tools and methods used by the experiments in order to obtain results. The results themselves can be found in Part C.

A cross‐national comparative study of work‐family stressors, working hours, and well‐being: china and latin america versus the anglo world

Abstract: 258A comparative study of work–family stressors, work hours, and well-being was described contrasting 3 culturally distinct regions: Anglo (Australia, Canada, England, New Zealand, and U.S.), China (Hong Kong, People’s Republic of China, and Taiwan) and Latin America (Argentina, Brazil, Colombia, Ecuador, Mexico, Peru, and Uruguay). Samples of managers were surveyed in each country, and country data were combined for the 3 regions. Support was found for the hypothesis that Anglos would demonstrate a stronger positive relation between work hours and work–family stressors than Chinese and Latins. In all 3 samples, work–family stressors related to increased job satisfaction and reduced well-being. Latins were found to work the most hours, have the most children, and report the highest job satisfaction. China was the only region in which being married and having more children related positively to all measures of well-being.

A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines

Abstract: The objective of the proposed study is to explore the performance of credit scoring using a two-stage hybrid modeling procedure with artificial neural networks and multivariate adaptive regression splines (MARS). The rationale under the analyses is firstly to use MARS in building the credit scoring model, the obtained significant variables are then served as the input nodes of the neural networks model. To demonstrate the effectiveness and feasibility of the proposed modeling procedure, credit scoring tasks are performed on one bank housing loan dataset using cross-validation approach. As the results reveal, the proposed hybrid approach outperforms the results using discriminant analysis, logistic regression, artificial neural networks and MARS and hence provides an alternative in handling credit scoring tasks.

Quasi-Resonant Zero-Current-Switching Bidirectional Converter for Battery Equalization Applications

Abstract: A systematic approach to reform and analyze a soft-switching bidirectional dc-to-dc converter is proposed for cell voltage balancing control in a series connected battery string. quasi-resonant converter circuits have been designed to achieve the zero-current-switching (ZCS) to reduce the switching loss in bidirectional battery equalizers. The results indicate that the switching loss and energy transfer efficiency can be substantially improved using the quasi-resonant ZCS (QRZCS) technology in a battery charging system with an individual cell equalizer (ICE). The validity of the battery equalization is further verified using an experimental installation involving a battery string of three lithium-ion cells. The simulation and experimental results show that the proposed QRZCS battery equalization schemes can achieve bidirectional battery equalization performance and reduce the MOSFET transistor switch power losses by more than 96% and increase the efficiency by around 20%~30% compared with the conventional battery equalizer during an identical equalization process