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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.


Papers
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Journal ArticleDOI
TL;DR: The characteristics of tumor microenvironment and their targeting mechanisms with the aid of PEG-based amphiphilic nanoparticles are described for the development of newer drug delivery systems to overcome multidrug resistance in cancer cells.

89 citations

Journal ArticleDOI
TL;DR: In this article, the authors explored the relationship among professional competence, job satisfaction and the career development confidence for chefs, and examined the mediators of job satisfaction for professional competence and career development in Taiwan.

89 citations

Journal ArticleDOI
TL;DR: The results showed that skin disruption and inflammation did not necessarily correspond to the enhancing efficiency of the enhancers, and possibly indicated that the enhancer have varied ability and mechanisms to enhance curcumin permeation.
Abstract: Curcumin is a predominant compound derived from the rhizomes of Curcuma longa L., and shows antibacterial, anti-inflammatory and antineoplastic activity. The in-vitro and in-vivo skin absorption of curcumin was investigated after application of enhancers using Wistar rat as an animal model. The enhancers selected in this study included terpenes, flavonoids and cholestanol. The irritant profiles of these enhancers were also established by transepidermal water loss (TEWL) and histological observations. Cyclic monoterpenes generally showed stronger enhancement of curcumin permeation than the other enhancers. Modulation of concentration and pretreatment duration of enhancers possibly indicated that the enhancers have varied ability and mechanisms to enhance curcumin permeation. Terpineol produced the highest TEWL values among the enhancers tested, whereas ketocholestanol produced no, or only a negligible, increase in TEWL as compared with control. The results showed that skin disruption and inflammation did not necessarily correspond to the enhancing efficiency of the enhancers.

88 citations

Journal ArticleDOI
TL;DR: The changes of chlorophylls and their derivatives during heating of spinach leaves were studied in this paper, where they were analyzed by high performance liquid chromatography (HPLC) with photodiode-array detection or positive ion fast atom bombardment mass spectrometry (FAB-MS).

88 citations

Journal ArticleDOI
01 Dec 2012
TL;DR: Through the outstanding variable screening ability of MARS, important sales forecasting variables for computer wholesalers can be obtained to enable them to make better sales management decisions and have important implications for the implementation of appropriate sales decisions or strategies.
Abstract: Artificial neural networks (ANNs) have been found to be useful for sales/demand forecasting. However, one of the main shortcomings of ANNs is their inability to identify important forecasting variables. This study uses multivariate adaptive regression splines (MARS), a nonlinear and non-parametric regression methodology, to construct sales forecasting models for computer wholesalers. Through the outstanding variable screening ability of MARS, important sales forecasting variables for computer wholesalers can be obtained to enable them to make better sales management decisions. Two sets of real sales data collected from Taiwanese computer wholesalers are used to evaluate the performance of MARS. The experimental results show that the MARS model outperforms backpropagation neural networks, a support vector machine, a cerebellar model articulation controller neural network, an extreme learning machine, an ARIMA model, a multivariate linear regression model, and four two-stage forecasting schemes across various performance criteria. Moreover, the MARS forecasting results provide useful information about the relationships between the forecasting variables selected and sales amounts through the basis functions, important predictor variables, and the MARS prediction function obtained, and hence they have important implications for the implementation of appropriate sales decisions or strategies.

88 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