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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 & Medicine. The organization has 6842 authors who have published 9512 publications receiving 171005 citations. The organization is also known as: FJU & Fu Jen.
Topics: Population, Medicine, Cancer, Hazard ratio, Apoptosis


Papers
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Journal ArticleDOI
TL;DR: In this paper, a plasmonic perfect absorber (PPA) based on metal nanorod arrays with the connected veins was proposed for ultra-sensitive refractive index (RI) sensing applications in the near-infrared region.
Abstract: We propose a plasmonic perfect absorber (PPA) based on metal nanorod arrays with the connected veins for ultra-sensitive refractive index (RI) sensing applications in the near-infrared region. The physical origin is explained through the absorptance/reflectance spectra, distribution of electric/magnetic field intensity, surface charge density, height and gap distance. The designed PPA can constitute a cavity resonance center and serve as a plasmonic sensor. There is a huge difference of absorptance and reflectance between the case with and without veins due to the vein effect has a dominant influence on plasmon resonance in the proposed PPA. Simulation results show that the absorptance (A) of the proposed PPA is nearly perfect (A = 99.67%) which is about 1332.49 times enhancement compared to its counterpart without the connected veins (A = 0.075%). The calculated sensitivity, figure of merit and quality factor can be achieved up to 800.00 nm/RIU (RIU is the refractive index unit), 12.17 (RIU−1) and 14.78, respectively.

57 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the relationship between consumer attitude toward virtual stores and its correlates and show that consumer risk averseness is negatively related to consumer attitude, whereas consumer convenience orientation and the impulse tendency are both positively related with consumer attitude towards virtual stores.

57 citations

Journal ArticleDOI
TL;DR: Evidence is provided that SGA may be associated with increased risks of neonatal mortality, ROP, and BPD in VLBW infants.
Abstract: Background This study aimed to evaluate the impact of small-for-gestational-age (SGA) on mortality and morbidity in very-low-birth-weight (VLBW) infants. Methods We conducted a retrospective cohort study on VLBW infants registered at the Premature Baby Foundation of Taiwan between 2007 and 2011. All 21 neonatal departments in Taiwan participated in the data collection, and a total of 4636 VLBW infants were registered during the study period. The SGA group ( n = 560) was selected from the database on the basis of birth weight below the 10 th percentile for gestational age, whereas the appropriate-weight-for-gestational-age (AGA) group ( n = 1120) included infants randomly selected via incidence density sampling with a 2:1 match for each SGA case. The association of SGA with individual outcome variables including mortality, respiratory distress syndrome, necrotizing enterocolitis, retinopathy of prematurity (ROP), intraventricular hemorrhage, periventricular leukomalacia, and bronchopulmonary dysplasia (BPD) was evaluated after adjustment for potential confounders. Results The SGA group was associated with increased risks of mortality [odds ratio (OR) 1.89; 95% confidence interval (CI) 1.39‒2.58], severe ROP (OR 1.56; 95% CI 1.13–2.14), and BPD (OR 2.08; 95% CI 1.58–2.75) compared to the AGA group. Further subgroup analysis showed that SGA had significant effects on mortality in the VLBW infants with a gestational age of 24–29 weeks, as well as on BPD in those with a gestational age of 27–32 weeks. By contrast, the association of SGA with severe ROP was only significant in the VLBW infants with a gestational age of 27–29 weeks. Conclusion Our data provide evidence that SGA may be associated with increased risks of neonatal mortality, ROP, and BPD in VLBW infants.

57 citations

Journal ArticleDOI
TL;DR: In conclusion, arsenic metabolic genes, PNP, As3MT, and GSTO, may exacerbate the formation of atherosclerosis in individuals with high levels of arsenic concentration in well water (>50μg/l).

57 citations

Journal ArticleDOI
TL;DR: In this article, a hybrid case-based architecture is proposed to support multiple-disease diagnosis and the learning of new adaptation knowledge, which is based on CBR, neural networks, fuzzy theory, induction, utility theory, and knowledge-based planning.

57 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