• Journal of the East Asian Society of Dietary Life
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• v.17 no.5
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• pp.653-660
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• 2007

The purpose of this study was to measure the causal relationships among such variables as moral concerns for animals, meat texture, meat color, satiety from meat, disgust with meat and pork consumption. A total of 250 questionnaires were completed. Structural equation models were used to measure the causal effects of the constructs. The study outcomes demonstrated that the structural analysis results of the data were an excellent model fit. The effects of moral concerns for animals, meat texture and satiety from meat on the disgust with meat were statistically significant. As expected, disgust with meat had a significant effect on pork consumption. Moreover, moral concerns for animals and satiety from meat had a significant indirect effect on pork consumption through disgust with meat. Also, satiety from meat alone had a significant indirect effect on pork consumption through disgust with meat. By developing and testing conceptual models that integrated the relationships among ideational variables, sensory affective variables, anticipated consequences variables, emotional variables, and behavioral variables, this study may approach a deeper understanding of the complex relationships among pork consumption-related variables. A greater understanding of these complex relationships can improve the managerial diagnosis of problems as well as opportunities for different marketing strategies, including pork production and pork product development, and marketing communications.

• Journal of Biomedical Engineering Research
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• v.18 no.4
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• pp.365-373
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• 1997

In this paper, a new method of the 3D(dimensional) image reconstruction is proposed to build up the 3D image from 2D images using digital image processing techniques and computer graphics. First, the new feature extraction algorithm that doesn't need various input parameters and is not affected by threshold is adopted This new algorithm extracts feature points by eliminating some undesirable points on the ground of the connectivity. Second, as the cast function to reconstruct surfaces using extracted feature points, the minimum distance measure between two plane images has been adopted According to this measure, the surface formation algorithm doesn't need complex calculation and takes the form of triangle or trapezoid To investigate usefulness, this approach has been applied to a head CT image and compared with other methods. Experimental comparisons show that the suggested algorithm yields better performance on feature extraction than others. In contrast with the other methods, the complex calculation for surface formation in the proposed algorithm is not necessary.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.3
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• pp.304-311
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• 2007

The purpose of this study was to measure the causal relationships among fish consumption behavior, attitude towards fish eating, health involvement, perceived convenience, and age. A total of 235 questionnaires were completed. A structural equation model was used to measure the causal effects of the constructs. The results of the study demonstrated that the structural analysis results were an excellent model fit for the data. The influence of age on attitude towards fish eating, health involvement, and perceived convenience was statistically significant. As expected, attitude towards fish eating, health involvement, and perceived convenience had significant effects on fish consumption behavior. Moreover, age had a significant indirect effect on fish consumption behavior through health involvement. Age also had a significant indirect effect on fish consumption behavior through perceived convenience. By developing and testing conceptual models that integrate the relationships among age, psychological variables, and fish consumption behavior, this study may offer a deeper understanding of the complex relationships among the variables. A greater understanding of these complex relationships can improve the managerial diagnoses of problems and the opportunities for different marketing strategies, including product development and marketing communications.

• Nuclear Engineering and Technology
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• v.54 no.2
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• pp.437-441
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• 2022

In this study, we developed a neutron time-of-flight (nTOF) measurement system for a 1.7-MV tandem proton accelerator with a target covered with 300-nm-thick lithium (Li) layer. With implementation of beam chopping module after its ion source, the accelerator is configured to operate in pulsed-beam mode with a pulse width <50 ns at 20-kHz repetition rate. This enables the gamma flash-type nTOF measurement system to identify the neutron generated with 3-MeV proton beam energy. The nTOF system consists of a 30" cylindrical NaI(Tl) and four stilbene scintillation detectors. The NaI(Tl) scintillator is placed 50 cm from the Li target to measure the time of beam irradiation on the target, and the stilbene detectors are placed 2 and 2.4 m away to measure nTOF at each location. The nTOF system successfully measured the generated neutron energy at irradiated proton energies of 2.6 and 3.0 MeV with an average energy resolution of 15%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2587-2605
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• 2022

In order to efficiently detect community structure in complex networks, community detection algorithms can be designed from the perspective of node similarity. However, the appropriate parameters should be chosen to achieve community division, furthermore, these existing algorithms based on the similarity of common neighbors have low discrimination between node pairs. To solve the above problems, a noval community detection algorithm using closeness similarity based on common neighbor node clustering entropy is proposed, shorted as CSCDA. Firstly, to improve detection accuracy, common neighbors and clustering coefficient are combined in the form of entropy, then a new closeness similarity measure is proposed. Through the designed similarity measure, the closeness similar node set of each node can be further accurately identified. Secondly, to reduce the randomness of the community detection result, based on the closeness similar node set, the node leadership is used to determine the most closeness similar first-order neighbor node for merging to create the initial communities. Thirdly, for the difficult problem of parameter selection in existing algorithms, the merging of two levels is used to iteratively detect the final communities with the idea of modularity optimization. Finally, experiments show that the normalized mutual information values are increased by an average of 8.06% and 5.94% on two scales of synthetic networks and real-world networks with real communities, and modularity is increased by an average of 0.80% on the real-world networks without real communities.

• Journal of Acupuncture Research
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• v.33 no.4
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• pp.137-148
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• 2016

Objectives : This study was performed to review articles concerning acupuncture or moxibustion treatment for Complex Regional Pain Syndromes. Methods : On-line databases including PubMed, Cochrane Library, Ovid-EMBASE, NDSL and OASIS were searched to find articles concerning acupuncture or moxibustion treatment for Complex Regional Pain Syndromes. Several overlapping articles and those not relevant to the topic were excluded, as well as review articles and commentaries. Results : 16 case reports were selected through the procedure, all of which presented successful treatment cases of Complex Regional Pain Syndromes with acupuncture and moxibustion. Most of them presented one single patient case and were published in Korea. However, almost half of them were printed in English, and had been continuously published since 2005. It was remarkable that pharmacopuncture was predominantly used to treat Complex Regional Pain Syndromes. Also, we noted that Chinese scalp acupuncture needs to be studied further as two successful cases were presented from the U.S army. Conclusion : The results show that several case reports have been published regarding Complex Regional Pain Syndromes treated with acupuncture and moxibustion. However, all of them were case reports which are given low status in Evidence-Based Medicine. We expect that a more diverse range of articles, including case control studies, cohort studies and randomized controlled trials will be performed in the near future, and that a unified outcome measure will be developed for Complex Regional Pain Syndromes.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2023.04a
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• pp.52-52
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• 2023

Ageing has been known to be deeply related to oxidative activities. Furthermore, inflammation is a response initiated by conditions such as infection and injury. It has been known that complex connections occur between oxidative stress and the inflammatory response, however underlying mechanism needs to be investigated. Chinese resource plants have been widely used as functional food and medicine for a long time, however it is not studied well how many of these resource plants work. We first decided testing anti-oxidant and anti-inflammatory activities with 95% ethanol extracts of the chinese resource plants, Boehmeria pilosinscula (Blume) Hassk., Carlemannia tetragona Hook f. and Clausena emarginata C.C.Huang. To measure anti-oxidant activity, we performed DPPH assay in Raw264.7 cells with 95% ethanol extracts. Clausena extracts showed significantly higher anti-oxidant activity than those of Boehmeria and Carlemannia. We then performed Nitric Oxide assay to measure the inflammation suppression levels with 95% ethanol extracts of these plants. Clausena extracts showed significantly higher suppression of nitric oxide production than those of Boehmeria and Carlemannia. This indicates that inflammation levels are significantly reduced by Clausena. After measuring anti-oxidant and anti-inflammatory activities, we then performed MTT assay to measure the cell survival rate of Raw264.7 cells treated with these extracts. Boehmeria showed much more cell survival rate than Carlemannia and Clausena. Taken together, this result suggests that Clausena extracts have more anti-oxidant and antiinflammatory activities than Boehmeria and Carlemannia, while Boehmeria extracts have more cell survival rate than Carlemannia and Clausena.

• Journal of Broadcast Engineering
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• v.21 no.3
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• pp.380-390
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• 2016

The field of Image Quality Measure (IQM) is growing rapidly in recent years. In particular, there was a significant progress in No-Reference (NR) IQM methods. In this paper, a general-purpose NR IQM algorithm is proposed based on the statistical characteristics of natural images in shearlet domain. The method utilizes a set of distortion-sensitive features extracted from statistical properties of shearlet coefficients. A complex version of the shearlet transform is employed to take advantage of phase and amplitude features in quality estimation. Furthermore, since shearlet transform can analyze the images at multiple scales, the effect of distortion on across-scale dependencies of shearlet coefficients is explored for feature extraction. For quality prediction, the features are used to train image classification and quality prediction models using a Support Vector Machine (SVM). The experimental results show that the proposed NR IQM is highly correlated with human subjective assessment and outperforms several Full-Reference (FR) and state-of-art NR IQMs.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.3
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• pp.243-250
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• 2009

The adjoint variable method can reduce computation time and save computer resources because it can selectively provide the sensitivity information for the positions that designers wish to measure. However, the adjoint variable method commonly employs exact analytical differentiation with respect to the design variables. It can be cumbersome to precisely differentiate every given type of finite element. This trouble can be overcome only if the numerical differentiation scheme can replace this exact manner of differentiation. But, the numerical differentiation scheme causes of severe inaccuracy due to the perturbation size dilemma. For assuring the accurate sensitivity without any dependency of perturbation size, this paper employs a complex variable that has been mainly used for computational fluid dynamics problems. The adjoint variable method combined with complex variables is applied to obtain the shape and size sensitivity for structural optimization. Numerical examples demonstrate that the proposed method can predict stable sensitivity results and that its accuracy is remarkably superior to traditional sensitivity evaluation methods.

• Journal of the Korean Wood Science and Technology
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• v.29 no.3
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• pp.104-111
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• 2001

There are some evidence that active enzymatic proteins, e.g. fungal laccase, exist in the naturally occured soil humus. This study was performed to investigate the covalent binding of fungal laccase to the humic acid-iron complex, and to measure laccase activity of immobilized ones. Seven methods were adopted to form the covalent binding of fungal laccase with soil humic acids complexed with iron. Using these seven methods it was possible to change the dimension of spacer arm between laccase and support, and also to regulate the mode of covalent binding of this enzyme. The spacer arm was regulated from 2C to 11C. There was not observed any straight relationship between the spacer arm longitude and the laccase activity after immobilization, but the binding mode more effective than the former. Three out of the seven methods gave the high activity of immobilized laccase, and which active products of laccase immobilization was stable up to 10 days after the process. It is indicated that natural soil condition might be prevented the laccase activation by the toxic influence of some phenolic humic compounds. It was shown, for the first time, the possibilities to obtain the high activity of fungal laccase by binding to humic acids, and especially in complex with iron.