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Weng C.-H.,Central Taiwan University of Science and Technology | Chen Y.-L.,National Central University
Knowledge and Information Systems | Year: 2010

Association rule mining is an important data analysis method that can discover associations within data. There are numerous previous studies that focus on finding fuzzy association rules from precise and certain data. Unfortunately, real-world data tends to be uncertain due to human errors, instrument errors, recording errors, and so on. Therefore, a question arising immediately is how we can mine fuzzy association rules from uncertain data. To this end, this paper proposes a representation scheme to represent uncertain data. This representation is based on possibility distributions because the possibility theory establishes a close connection between the concepts of similarity and uncertainty, providing an excellent framework for handling uncertain data. Then, we develop an algorithm to mine fuzzy association rules from uncertain data represented by possibility distributions. Experimental results from the survey data show that the proposed approach can discover interesting and valuable patterns with high certainty. © 2009 Springer-Verlag London Limited.


Chung W.-S.,Central Taiwan University of Science and Technology | Chung W.-S.,China Medical University at Taichung | Chung W.-S.,National Taiwan Normal University | Chung W.-S.,National Sun Yat - sen University
Annals of the rheumatic diseases | Year: 2014

OBJECTIVE: Studies on the association between rheumatoid arthritis (RA) and deep vein thrombosis (DVT) and pulmonary thromboembolism (PE) are scarce. This study identifies the effects of RA on the risks of developing DVT and PE in a nationwide prospective cohort study.METHODS: We studied the entire Taiwan population from 1998 to 2008, with a follow-up period extending to the end of 2010. We identified patients with RA using the catastrophic illness registry of the Taiwan National Health Insurance Research Database (NHIRD). We also selected a comparison cohort that was randomly frequency-matched by age (each 5-year span), sex and index year from the general population. We analysed the risks of DVT and PE using Cox proportional hazards regression models, including sex, age and comorbidities.RESULTS: From 23.74 million people in the cohort, 29 238 RA patients (77% women, mean age of 52.4 years) and 1 16 952 controls were followed 1 93 753 and 7 92 941 person-years, respectively. The risk of developing DVT and PE was 3.36-fold and 2.07-fold, respectively, in patients with RA compared with patients without RA, after adjusting for age, sex and comorbidities. The multiplicative increased risks of DVT and PE were also significant in patients with RA with any comorbidity.CONCLUSIONS: This nationwide prospective cohort study demonstrates that DVT and PE risks significantly increased in patients with RA compared with those of the general population. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.


Lin H.-H.,National Chung Hsing University | Lin H.-H.,Central Taiwan University of Science and Technology | Tseng L.-Y.,National Chung Hsing University
Nucleic Acids Research | Year: 2010

The proper prediction of the location of disulfide bridges is efficient in helping to solve the protein folding problem. Most of the previous works on the prediction of disulfide connectivity pattern use the prior knowledge of the bonding state of cysteines. The DBCP web server provides prediction of disulfide bonding connectivity pattern without the prior knowledge of the bonding state of cysteines. The method used in this server improves the accuracy of disulfide connectivity pattern prediction (Qp) over the previous studies reported in the literature. This DBCP server can be accessed at http://120.107.8.16/dbcp or http://140.120.14.136/dbcp. © The Author(s) 2010. Published by Oxford University Press.


Chung C.-J.,Central Taiwan University of Science and Technology | Long H.-Y.,Feng Chia University
Acta Biomaterialia | Year: 2011

This study attempts to enhance the osseointegration of titanium implants by adopting a micro-arc treatment (MAT) capable of replacing calcium (Ca) with different percentages of strontium (Sr) in order to fabricate strontium-containing hydroxyapatite (Sr-HAp) coatings. Sr, regarded as a significant therapy promoting bone mass and bone strength, has a dual mechanism, enhancing osteoblast differentiation and inhibiting osteoclast differentiation. This study also investigates how Sr content affects the microstructure of and osteoblast/osteoclast growth on the coatings. Experimental results indicate that an increase in the Sr content in the electrolyte bath results in a greater degree of Sr substitution at Ca sites within the HAp phase, facilitating the formation of Sr-HAp coatings with Sr fully solid soluble in the HAp phase. Irrespective of the Sr content, most coatings are similar in porous morphology and pore size. Additionally, the Sr-HAp coating shows higher osteoblast compatibility than raw titanium metal and the HAp coating. Moreover, cell adhesion and proliferation after 48 h was greater than that after 4 h, indicating that Sr can stimulate osteoblast adhesion and proliferation. Further, Sr significantly inhibits osteoclast differentiation when the Sr-HAp coatings exceed 38.9 at.% Sr. © 2011 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.


Chang Y.-C.,Fong Yuan Hospital | Lo H.-H.,Central Taiwan University of Science and Technology
Diagnostic Microbiology and Infectious Disease | Year: 2013

No literature is available on the prevalence and clinical aspects of beta-haemolytic group G Streptococcus anginosus group in central Taiwan. In this study, we used 16S rRNA gene sequencing and 16S-23S rDNA intergenic spacer sequencing (where necessary) as the gold standard for molecular identification. Twenty-seven S. anginosus group isolates were identified from 273 beta-haemolytic GGS isolates collected from patients in central Taiwan between February 2007 and August 2011. Of the 27 isolates, 22 were S. anginosus and 5 were Streptococcus constellatus. The 3 commercial methods, Rapid ID 32 Strep, API 20 Strep, and Vitek 2 GP card, identified 77.8%, 40.7%, and 37.0% of S. anginosus group isolates, respectively, with acceptable %ID or probability level. All the S. constellatus isolates possessed the lmb gene (encoding laminin-binding protein); however, none of the S. anginosus isolates possessed this gene. All the 27 isolates were susceptible to penicillin. Five S. anginosus group isolates (18.5%) were resistant to erythromycin. The resistance genes, ermB and mefA, were detected in 3 (2 S. anginosus and 1 S. constellatus) and 2 (2 S. anginosus) isolates, respectively. Pulsed field gel electrophoresis showed that most S. anginosus group isolates were genetically diverse. This is the first study to evaluate 3 commercial methods for the identification of beta-haemolytic group G S. anginosus group species, and only the Rapid ID 32 Strep system showed considerable ability. The clinical aspects, susceptibility pattern, and molecular epidemiology of beta-haemolytic group G S. anginosus group isolates from central Taiwan were also first presented. © 2013 Elsevier Inc.


Lin Y.-C.,Central Taiwan University of Science and Technology
Safety Science | Year: 2013

Objectives: This study investigated the critical factors influencing the job involvement of emergency medical technicians (EMTs) of the Fire and Disaster Prevention and Rescue Bureau after it was restructured from the original National Fire Agency, and examined how they confronted continual massive disasters resulting from global climate changes and the demand for better quality rescue services. Methods: 645 Questionnaires were sent out and the responses analyzed. Results: Job negativism increased with the age, life experience and work experience of the EMT. Variables directly affecting job involvement included professional competency and training. In addition, organizations with 16-20 personnel showed greater dedication. However, the professional competency of EMT was not influenced by the constitutional differences of EMT service location. Conclusions: When drafting emergency policies, fire departments should outline appropriate job regulations and manpower distribution in order to increase job inducement and satisfaction, and provide regular training to boost professional competency. In addition, medical rescue budget should be increased to provide substantial logistical support such as ambulances and equipment. © 2012 Elsevier Ltd.


Chang Y.-J.,Central Taiwan University of Science and Technology | Hsieh B.-T.,Central Taiwan University of Science and Technology
PLoS ONE | Year: 2012

In this study, a two-level full factorial design was used to identify the effects of the interactions between compositions in an N-isopropylacrylamide (NIPAM) gel dosimeter involving the following variables: (A) gelatin, (B) NIPAM, (C) the crosslinker N, N′-methylene-bis-acrylamide (Bis), and (D) the antioxidant tetrakis (hydroxymethyl) phosphonium chloride (THPC). The dose range was from 0 Gy to 5 Gy. Optical computed tomography was used to scan the polymer gel dosimeter. Each component was set to two levels for all four variables, including (A) 4% and 6%, (B) 4% and 6%, (C) 2% and 4%, as well as (D) 5 and 15 mM. Response surface methodology and a central composite design were adopted for the quantitative investigation of the respective interaction effects on the dose response curve of the gel. The results showed that the contributions of the interaction effects, i.e., AB (6.22%), AC (8.38%), AD (7.74%), BC (9.44%), ABC (18.24%), BCD (12.66%), and ABCD (13.4%), were greater than those of the four main effects, accounting for over 76.08% of the total variability. These results also indicated that the NIPAM gel recipe with the highest sensitivity was at 40%C (mass fraction of Bis). © 2012 Chang, Hsieh.


Uridine triphosphate (UTP)-glucose-1-phosphate uridylyltransferase (GalU; EC 2.7.7.9) is an enzyme that catalyzes the formation of uridine diphosphate (UDP)-glucose from UTP and glucose-1-phosphate. GalU is involved in virulence in a number of animal-pathogenic bacteria since its product, UDP-glucose, is indispensable for the biosynthesis of virulence factors such as lipopolysaccharide and exopolysaccharide. However, its function in Xanthomonas campestris pv. campestris, the phytopathogen that causes black rot in cruciferous plants, is unclear. Here, we characterized a galU mutant of X. campestris pv. campestris and showed that the X. campestris pv. campestris galU mutant resulted in a reduction in virulence on the host cabbage. We also demonstrated that galU is involved in bacterial attachment, cell motility, and polysaccharide synthesis. Furthermore, the galU mutant showed increased sensitivity to various stress conditions including copper sulfate, hydrogen peroxide, and sodium dodecyl sulfate. In addition, mutation of galU impairs the expression of the flagellin gene fliC as well as the attachment-related genes xadA, fhaC, and yapH. In conclusion, our results indicate involvement of galU in the virulence factor production and pathogenicity in X. campestris pv. campestris, and a role for galU in stress tolerance of this crucifer pathogen.


Weng C.-H.,Central Taiwan University of Science and Technology
Knowledge-Based Systems | Year: 2011

Association rule mining is an important data analysis method for the discovery of associations within data. There have been many studies focused on finding fuzzy association rules from transaction databases. Unfortunately, in the real world, one may have available relatively infrequent data, as well as frequent data. From infrequent data, we can find a set of rare itemsets that will be useful for teachers to find out which students need extra help in learning. While the previous association rules discovery techniques are able to discover some rules based on frequency, this is insufficient to determine the importance of a rule composed of frequency-based data items. To remedy this problem, we develop a new algorithm based on the Apriori approach to mine fuzzy specific rare itemsets from quantitative data. Finally, fuzzy association rules can be generated from these fuzzy specific rare itemsets. The patterns are useful to discover learning problems. Experimental results show that the proposed approach is able to discover interesting and valuable patterns from the survey data. © 2010 Elsevier B.V. All rights reserved.


Weng C.-H.,Central Taiwan University of Science and Technology
Applied Soft Computing Journal | Year: 2016

Not all products are marketed at the same time. If item (x) is marketed much earlier than item (z) is, then item (x) is associated with higher support compared with itemset (xz). In this situation, itemset (xz) cannot satisfy the minimum support; the association rule, x → z, possesses low confidence. To create better marketing strategies, managers must understand the sale associations between (x) and (z) and use (x) to promote (z) to increase the sales of (z). However, using traditional approaches for identifying the sale associations between earlier-marketed items and later-marketed item is difficult. In this study, we propose a new algorithm for determining the association rules by precisely calculating the support values of association rules. The association rules, which consist of an atomic consequent and its antecedents, consider the first time the consequent and its antecedents occurring in transactions. Furthermore, a new measure, TransRate, was designed to prevent generating useless itemsets. Experimental results from survey data indicated that the proposed approach can facilitate identifying rules of interest and valuable associations among later-marketed products. © 2015 Elsevier B.V. All rights reserved.

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