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Fast Discovery of Frequent Itemsets through Clustering and Decomposition
Tsui-Ping Chang 한국산학기술학회 2012 SmartCR Vol.2 No.6
In a previous paper, we proposed a technique called the top-down mining (TDM) algorithm to speed up the task of mining hybrid sequential patterns. TDM has a unique feature that examines database itemsets in a top-down manner using decomposition. This method, however, may incur a space problem during decomposition transactions from the database. In this paper, therefore, we propose a new algorithm called transaction decomposition with clustering (TDC) to alleviate the space problem associated with the decomposition method. We use TDC to derive frequent itemsets from a large database. The major feature of TDC is that it divides a database into several smaller projected databases such that each portion can be solved with the decomposition method independently. Since a large amount of information does not have to be stored in memory, the TDC method can efficiently mine frequent itemsets. We compare experimental results for the proposed method and existing algorithms. The results show that TDC can solve the space problem of TDM, and TDC outperforms its counterpart algorithms in many cases. Even when the data set is large or the user-specified minimum support is low, the TDC method still exhibits high performance in mining frequent itemsets. This makes the TDC method suitable for mining frequent itemsets in very large databases.
Bactericidal Activity of Soymilk Fermentation Broth by In Vitro and Animal Models
Yi-Ping Chin,Ko-Chung Tsui,Mei-Chieh Chen,Cheng-Yi Wang,Chin-Yuh Yang,Yuh-Ling Lin 한국식품영양과학회 2012 Journal of medicinal food Vol.15 No.6
Soybean fermentation broth (SFB) exhibits potent antibacterial activity against different species of bacteria in in vitro assays and animal models. Four isoflavone compounds—daidzin, genistin, genistein, and daidzein—of SFB were analyzed and quantified by high-performance liquid chromatography. In the in vitro test, daidzin and daidzein had more potent antibacterial activity than genistin. The minimum inhibition concentration values for these bacteria of SFB ranged from 1.25%to 5%, and the minimum bactericidal concentration values of strains ranged from 2.5% to 10%, depending on the species or strain. Vancomycin-resistant Entercoccus faecalis (VRE) strains were also tested for susceptibility to SFB in two species of animal model: the Sprague–Dawley rat and the BALB/c mouse. SFB-fed Sprague–Dawley rats showed excellent elimination efficiency against VRE, close to 99% compared with the phosphate-buffered saline–fed control group. In the BALB/c mouse model, SFB antibacterial activity was 65–80% against VRE compared with the control. In conclusion, SFB contains natural antibacterial substances such as daidzin, genistin, and daidzein that inhibit bacterial growth.
Ruo-Nan Jueng,Shu-He Huang,Tsui-Ping Li,Hui-Yu Liang,Chiu-Mieh Huang 한국간호과학회 2017 Asian Nursing Research Vol.11 No.4
Purpose: This study applied the Q method to identify and describe the various types of nurse perceptions that are crucially associated with their engagement in evidence-based nursing (EBN). Methods: The study participants were nurses at a medical center and a regional teaching hospital. A series of Q sorts was performed by nurses to subjectively rank the Q statements. Q statements were constructed based on the literature related to EBN adoption by nurses and face-to-face interviews. Results: A total of 60 participants were invited to rank 44 Q statements related to EBN. Factor analysis was conducted on the rankings of the Q statements. The following are the five prominent shared perspectives: (1) emphasized the obstacles to evidence searching and reading ability; (2) emphasized the organizational promotive strategies; (3) emphasized the available supportive resources; (4) emphasized the significance of EBN; and (5) emphasized the evidence-searching ability and external incentives. The five identified groups of perspectives can enhance hospital administrators to acknowledge the barriers and incentives associated with EBN practices. Conclusion: The exploration of clustering nurses' perceptions may facilitate the development of customized strategies to enable more appropriate training.