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Institution

Fu Jen Catholic University

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


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Journal ArticleDOI
TL;DR: In this article, a radial basis function neural network was developed to identify shifts in process parameters from papermaking and viscosity data sets available in the literature, which can be used to improve process control in manufacturing processes that generate correlated process data.
Abstract: Traditional statistical process control (SPC) techniues of control charting are not applicable in many process industries because data from these facilities are autocorrelated. Therefore the reduction in process variability obtained through the use of SPC techniques has not been realized in process industries. Techniques are needed to serve the same function as SPC control charts, that is to identify process shifts, in correlated parameters. Radial basis function neural networks were developed to identify shifts in process parameter values from papermaking and viscosity data sets available in the literature. Time series residual control charts were also developed for the data sets. Networks were successful at separating data that were shifted 1.5 and 2 standard deviations from nonshifted data for both the papermaking and viscosity parameter values. The network developed on the basis of the papermaking data set was also able to separate shifts of 1 standard deviation from nonshifted data. The SPC control charts were not able to identify the same process shifts. The radial basis function neural networks can be used to identify shifts in process parameters, thus allowing improved process control in manufacturing processes that generate correlated process data.

84 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the direct and moderator effects of coping strategies (control and support coping) and work locus of control (externality) on the stressor-strain relationships among managers in Greater China (the People's Republic of China, Hong Kong, and Taiwan).
Abstract: La presente etude examine les effets directs et moderateurs des strategies de defense (controle et support) et de la perception de controle au travail (exterieure) sur des relations stresseur-tension entre des gestionnaires de la grande Chine (la Republique populaire de Chine, Hong Kong, et Taiwan). Les donnees ont ete recueillies, via un questionnaire autoadministre, aupres de 876 gestionnaires soit 249 (164 hommes, 85 femmes) en Republique populaire de Chine, 280 a Hong Kong (159 hommes, 120 femmes, 1 non classifie), et 347 (191 hommes, 151 femmes, 5 non classifies) au Taiwan. Des effets directs et moderateurs pour les strategies de defense et pour la perception de controle ont ete demontres pour quelques relations stresseur-tension dans les divers echantillons etudies. The present study aims at examining the direct and moderator effects of coping strategies (control and support coping) and work locus of control (externality) on the stressor-strain relationships among managers in Greater China (the People's Republic of China [PRC], Hong Kong, and Taiwan). A self-administered survey method was employed to collect data from 249 (164 male, 85 female) managers in the PRC, 280 (159 male, 120 female, 1 unclassified) managers in Hong Kong, and 347 (191 male, 151 female, 5 unclassified) managers in Taiwan. The direct and moderator effects of control coping, support coping, and work locus of control on some stressor-strain relationships were demonstrated in the studied samples.

84 citations

Journal ArticleDOI
01 Mar 2019
TL;DR: Mortality associated with tobacco smoking continued to increase among Asian men in recent birth cohorts, indicating that tobacco smoking will remain a major public health problem in most Asian countries in the coming decades.
Abstract: Importance Understanding birth cohort–specific tobacco smoking patterns and their association with total and cause-specific mortality is important for projecting future deaths due to tobacco smoking across Asian populations. Objectives To assess secular trends of tobacco smoking by countries or regions and birth cohorts and evaluate the consequent mortality in Asian populations. Design, Setting, and Participants This pooled meta-analysis was based on individual participant data from 20 prospective cohort studies participating in the Asia Cohort Consortium. Between September 1, 2017, and March 31, 2018, a total of 1 002 258 Asian individuals 35 years or older were analyzed using Cox proportional hazards regression analysis and random-effects meta-analysis. The pooled results were presented for mainland China; Japan; Korea, Singapore, and Taiwan; and India. Exposures Tobacco use status, age at starting smoking, number of cigarettes smoked per day, and age at quitting smoking. Main Outcomes and Measures Country or region and birth cohort–specific mortality and the population attributable risk for deaths from all causes and from lung cancer. Results Of 1 002 258 participants (51.1% women and 48.9% men; mean [SD] age at baseline, 54.6 [10.4] years), 144 366 deaths (9158 deaths from lung cancer) were ascertained during a mean (SD) follow-up of 11.7 (5.3) years. Smoking prevalence for men steadily increased in China and India, whereas it plateaued in Japan and Korea, Singapore, and Taiwan. Among Asian male smokers, the mean age at starting smoking decreased in successive birth cohorts, while the mean number of cigarettes smoked per day increased. These changes were associated with an increasing relative risk of death in association with current smoking in successive birth cohorts of pre-1920, 1920s, and 1930 or later, with hazard ratios for all-cause mortality of 1.26 (95% CI, 1.17-1.37) for the pre-1920 birth cohort, 1.47 (95% CI, 1.35-1.61) for the 1920s birth cohort, and 1.70 (95% CI, 1.57-1.84) for the cohort born in 1930 or later. The hazard ratios for lung cancer mortality were 3.38 (95% CI, 2.25-5.07) for the pre-1920 birth cohort, 4.74 (95% CI, 3.56-6.32) for the 1920s birth cohort, and 4.80 (95% CI, 3.71-6.19) for the cohort born in 1930 or later. Tobacco smoking accounted for 12.5% (95% CI, 8.4%-16.3%) of all-cause mortality in the pre-1920 birth cohort, 21.1% (95% CI, 17.3%-24.9%) of all-cause mortality in the 1920s birth cohort, and 29.3% (95% CI, 26.0%-32.3%) of all-cause mortality for the cohort born in 1930 or later. Tobacco smoking among men accounted for 56.6% (95% CI, 44.7%-66.3%) of lung cancer mortality in the pre-1920 birth cohort, 66.6% (95% CI, 58.3%-73.5%) of lung cancer mortality in the 1920s birth cohort, and 68.4% (95% CI, 61.3%-74.4%) of lung cancer mortality for the cohort born in 1930 or later. For women, tobacco smoking patterns and lung cancer mortality varied substantially by countries and regions. Conclusions and Relevance In this study, mortality associated with tobacco smoking continued to increase among Asian men in recent birth cohorts, indicating that tobacco smoking will remain a major public health problem in most Asian countries in the coming decades. Implementing comprehensive tobacco-control programs is warranted to end the tobacco epidemic.

84 citations

Journal ArticleDOI
TL;DR: This work proposes a graph-based approach to generate various types of association rules from a large database of customer transactions, and shows that its algorithms outperform other algorithms which need to make multiple passes over the database.
Abstract: Mining association rules is an important task for knowledge discovery. We can analyze past transaction data to discover customer behaviors such that the quality of business decisions can be improved. Various types of association rules may exist in a large database of customer transactions. The strategy of mining association rules focuses on discovering large item sets, which are groups of items which appear together in a sufficient number of transactions. We propose a graph-based approach to generate various types of association rules from a large database of customer transactions. This approach scans the database once to construct an association graph and then traverses the graph to generate all large item sets. Empirical evaluations show that our algorithms outperform other algorithms which need to make multiple passes over the database.

84 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explored the influence of experiential elements, such as surprise, participation and immersion on experientual satisfaction and loyalty intentions, and proposed a model to depict the structural relationship among the experiencial processes.
Abstract: As the change of economical environment, customers consume sometimes merely for fun, joy and pleasure instead of problems solving or specific product function. For consumers, sports performance means more than competition, but the entertainment, excitement and wonderful memories. For most sport leagues, attracting customers to watch the live games can contribute a lot to revenues. The spectators of sport games are motivated by entertainment, thus sport leagues can focus on the experiential elements to maintain satisfied and loyal customers to increase revenues. In consequence, the purpose of this study is to explore the influence of experiential elements, such as surprise, participation and immersion on experiential satisfaction and loyalty intentions, and propose a model to depict the structural relationship among the experiential processes. This study collected 452 samples on basketball games, and the model reached an adequate fit. Managerial implications and future research directions are also provided.

84 citations


Authors

Showing all 6861 results

NameH-indexPapersCitations
P. Chang1702154151783
Christian Guilleminault13389768844
Pan-Chyr Yang10278646731
Po-Ren Hsueh92103038811
Shyi-Ming Chen9042522172
Peter J. Rossky7428021183
Chong-Jen Yu7257722940
Shuu Jiun Wang7150224800
Jaw-Town Lin6743415482
Lung Chi Chen6326713929
Ronald E. Taam5929012383
Jiann T. Lin5819010801
Yueh-Hsiung Kuo5761812204
San Lin You5517816572
Liang-Gee Chen5458212073
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202313
202233
2021726
2020666
2019571
2018528