Institution
Fu Jen Catholic University
Education•Taipei, 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 published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
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P. Chang | 170 | 2154 | 151783 |
Christian Guilleminault | 133 | 897 | 68844 |
Pan-Chyr Yang | 102 | 786 | 46731 |
Po-Ren Hsueh | 92 | 1030 | 38811 |
Shyi-Ming Chen | 90 | 425 | 22172 |
Peter J. Rossky | 74 | 280 | 21183 |
Chong-Jen Yu | 72 | 577 | 22940 |
Shuu Jiun Wang | 71 | 502 | 24800 |
Jaw-Town Lin | 67 | 434 | 15482 |
Lung Chi Chen | 63 | 267 | 13929 |
Ronald E. Taam | 59 | 290 | 12383 |
Jiann T. Lin | 58 | 190 | 10801 |
Yueh-Hsiung Kuo | 57 | 618 | 12204 |
San Lin You | 55 | 178 | 16572 |
Liang-Gee Chen | 54 | 582 | 12073 |