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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, the structural transition of BFO-BT ceramics was investigated by using in-situ high-resolution synchrotron X-ray diffraction upon heating.

58 citations

Journal ArticleDOI
TL;DR: Antioxidant enzymes and cardiovascular markers, such as fibrinogen, ICAM, and interluekin-6, are possible biomarkers for medical surveillance of workers handling engineered nanomaterials.
Abstract: The aim of this study was to establish and identify the health effect markers of workers with potential exposure to nanoparticles (20–100 nm) during manufacturing and/or application of nanomaterials. For this cross-sectional study, we recruited 227 workers who handled nanomaterials and 137 workers for comparison who did not from 14 plants in Taiwan. A questionnaire was used to collect data on exposure status, demographics, and potential confounders. The health effect markers were measured in the medical laboratory. Control banding from the Nanotool Risk Level Matrix was used to categorize the exposure risk levels of the workers. The results showed that the antioxidant enzyme, superoxide dismutase (SOD) in risk level 1 (RL1) and risk level 2 (RL2) workers was significantly (p RL1 > RL2). Another antioxidant, glutathione peroxidase (GPX), was significantly lower only in RL1 workers than in the control workers. The cardiovascular markers, fibrinogen and ICAM (intercellular adhesion molecule), were significantly higher in RL2 workers than in controls and a significant dose–response with an increasing trend was found for these two cardiovascular markers. Another cardiovascular marker, interleukin-6, was significantly increased among RL1 workers, but not among RL2 workers. The accuracy rate for remembering 7-digits and reciting them backwards was significantly lower in RL2 workers (OR = 0.48) than in controls and a significantly reversed gradient was also found for the correct rate of backward memory (OR = 0.90 for RL1, OR = 0.48 for RL2, p < 0.05 in test for trend). Depression of antioxidant enzymes and increased expression of cardiovascular markers were found among workers handling nanomaterials. Antioxidant enzymes, such as SOD and GPX, and cardiovascular markers, such as fibrinogen, ICAM, and interluekin-6, are possible biomarkers for medical surveillance of workers handling engineered nanomaterials.

57 citations

Journal ArticleDOI
TL;DR: AHI and ODI improvement after MMA is best correlated with decreased retropalatal airflow velocity modeled by CFD and increased lateral pharyngeal wall stability based on VOTE scoring from DISE.
Abstract: ObjectivesTo use drug-induced sedation endoscopy (DISE) and computational fluid dynamics (CFD) modeling to study dynamic airway and airflow changes after maxillomandibular advancement (MMA), and ho...

57 citations

Proceedings Article
01 Jan 2002
TL;DR: A new hybrid case-based architecture, which supports multiple-disease diagnosis and the learning of new adaptation knowledge, is proposed, which combines case- based reasoning, neural networks, fuzzy theory, induction, utility theory, and knowledge-based planning technology together to facilitate medical diagnosis.
Abstract: This paper proposes a new hybrid case-based architecture, which supports multiple-disease diagnosis and the learning of new adaptation knowledge. The architecture combines case-based reasoning (CBR), neural networks, fuzzy theory, induction, utility theory, and knowledge-based planning technology together to facilitate medical diagnosis. The basic mechanism is that of CBR. A distributed fuzzy neural network is employed to perform approximate matching and thus to tolerate potential noise in case retrieval. The induction technology along with utility theory is used to select valuable features of the target case and prune unnecessary search space. Knowledge-based planning is a general-purpose mechanism for case adaptation. It creates a case adaptation plan from an adaptation tree, which contains all relevant problem features, satisfies all relevant constraints, and contains all cases whose expected utilities are greater than a threshold. Execution of the case adaptation plan leads to the diagnosis of multiple diseases. The adaptation tree facilitates the reuse of cases and the learning of various types of knowledge-including relationships between disease types and features, case-specific verification knowledge, and differential diagnosis rules. Integrating these techniques in the CBR paradigm can effectively produce a high-quality diagnosis for a given medical consultation.

57 citations

Journal ArticleDOI
TL;DR: The proposed scheme has the following benefits: it complies with all the requirements for multi-server environments; it can withstand all the well-known attacks at the present time; it is equipped with a more secure key agreement procedure; and it is quite efficient in terms of the cost of computation and transmission.
Abstract: Two user authentication schemes for multi-server environments have been proposed by Tsai and Wang et al., respectively. However, there are some flaws existing in both schemes. Therefore, a new scheme for improving these drawbacks is proposed in this paper. The proposed scheme has the following benefits: (1) it complies with all the requirements for multi-server environments; (2) it can withstand all the well-known attacks at the present time; (3) it is equipped with a more secure key agreement procedure; and (4) it is quite efficient in terms of the cost of computation and transmission. In addition, the analysis and comparisons show that the proposed scheme outperforms the other related schemes in various aspects.

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