• Nutritional Sciences
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• v.9 no.1
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• pp.9-13
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• 2006

The differential effects of various fatty acids such as n-3 and n-6 types or degrees of unsaturation on the CYP2E1 induction and the production of lipid peroxidation (LPO) were investigated. The CYP2E1-transduced human hepatoma HepG2 cells (E47) were cultured in RPMI 1640 media containing different concentrations of various fatty acids up to 48 h incubation compared to 04 cells and CYP2E1-null cells. Treated fatty acids were linoleic acid (LA:n-6, C18:2), arachidonic acid (AA:n-6, C20:4) and docosahexaenoic acid (DHA:n-3, C22:6). The cell survival rate was decreased corresponding to the degree of unsaturation (LA>AA $\cong$DHA) and to LPO production in E47 and 04 cells. The four or five unsaturation degree of fatty acids, AA and DHA, caused time- and dose-dependent cell death in E47 cells but not as much as in C34 (without CYP2E1), suggesting an important role of CYP2E1 in the DHA mediated damage. In the levels of lipid peroxides (LPO), AA also elevated LPO by 3- and 5- fold compared to DHA or LA treated E47 cells. However, AA did not increase LPO until 48 h incubation in C34 cells. In conclusion, the polyunsaturated fatty acids induced CYP2E1 induction might be changed by the elevated levels of lipid peroxide (LPO) and oxidative stress through the connection of CYP2E1 and degrees of unsaturated fatty acids.

• Research in Community and Public Health Nursing
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• v.15 no.2
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• pp.308-322
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• 2004

Purpose: 'The purpose of the present study was to understand students' experiences from their standpoint, to identify relevant variables and to examine into their relations by analyzing and describing what phenomenon 'nursing students' visiting ambulatory bathing service' is, what are the reasons for the phenomenon, and what interactions are in the phenomenon. Method: The subjects were thirteen students. Data were collected through in-depth interviews and analyzed by Strauss and Corbin's analysis method. Result: With regard to ambulatory bathing service, participants responded 'lack of education', 'inexperienced personal relations' and 'disappointment with recipients families'. They recognized 'burden' and 'compassion'. The intensity of generated 'burden' and 'compassion' was determined by volunteering persons, the degree of health care service, recipients' response and interaction of climate. When 'burden' and 'compassion' were generated, participants selected their own coping strategies. Strategies in the situation of 'burden' and 'compassion' were significantly influenced by 'burden' and 'compassion' and structural situation - 'mutual relation structure,' 'volunteers' capability,' 'the degree of volunteering guidance,' 'community participation,' 'recipients' environment,' 'information sharing,' 'special vehicle equipment' and 'economical burden.' Strategies include' service training,' 'receiving volunteering training,' 'preliminary service preparation,' 'volunteering.' 'connection to local medical center,' 'intention,' 'information sharing,' 'passive response to recipients' appreciation' and 'the understanding of publicity'. The results of selected 'burden' and 'compassion' are described with 'worthiness' and 'cohesion' as follows. Conclusion: This study is significantly meaningful in that it examined bathing service welfare in its initial stage. There are not much outcome from previous studies. However. it is meaningful that this study intended to develop theories on the nature of experiences and the relations among concepts derived from the visiting ambulatory bathing service process of nursing students. Professors who taught social volunteering in universities understood the experience of nursing students who did the visiting ambulatory bathing service. Consequently, professors will provide an effective instruction to enable these students to carry out visiting ambulatory bathing services efficiently in order to meet demands when they conduct the services. For the volunteering service activity in major-related fields among college students' social volunteering activities, they recognized the necessity of systematic education and preparation.

• Journal of KIISE:Information Networking
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• v.29 no.3
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• pp.265-275
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• 2002

A default server strategy is a very popular scheme for managing location and state information of mobile hosts in cellular networks. But the communication cost increases if the call requests are frequent and the distant between the default server and the client is long. Still more any connection to a mobile host cannot be established when the default server of the destination mobile host fails. These problems can be solved by replicating default server and by letting nearest replicated default server process the query request which is sent from a client. It is important to allocate replicated default servers efficiently in networks and determine the number of replicated default servers. In this paper, we suggest and evaluate a default server replication strategy to reduce communication costs and to improve service availabilities. Furthermore we propose and evaluate an optimized allocation algorithm and an optimal replication degree for replicating: dofault servers in nn grid networks and binary tree networks.

• Journal of Hospice and Palliative Care
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• v.23 no.2
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• pp.55-70
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• 2020

Purpose: This study was conducted to examine differences in Spiritual Interests Related to Illness Tool (SpIRIT) scores and the degree of spiritual needs (SNs) between patients with terminal cancer and their primary family caregivers and to compare spiritual needs between them. Methods: The study participants were inpatients with terminal cancer and their primary family caregivers at 40 national hospice centers. The final analysis included 120 SpIRIT surveys from patients and 115 from family members, and 99 SNs questionnaires from patients and 111 from family members. Data analysis was conducted using descriptive statistics, the t-test, one-way analysis of variance, and Pearson correlation coefficients. Results: There were no significant between-group differences in SpIRIT scores or SNs. The SpIRIT sub-dimensions that ranked high for both patients and primary family caregivers were "maintaining positive perspective", "loving others", and "finding meaning". The SNs sub-dimensions were ranked identically in both groups, in the order of "love and connection", "hope and peace", "meaning and purpose", respectively. In both groups, the recognition of the importance of spiritual matters and religion were major factors influencing SpIRIT scores and SNs. Conclusion: The SpIRIT scores and degree of SNs of patients with terminal cancer and their primary family caregivers were found to be very closely related, and the needs for coherence and meaning were greater than religious needs. When providing spiritual care for patients with terminal illness, family members should also be considered, and their prioritization of spiritual needs and the importance of spiritual matters and religion shall be taken into account.

• Steel and Composite Structures
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• v.35 no.4
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• pp.579-598
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• 2020

Consideration of the panel zone (PZ) deformations in the analysis of steel moment frames (SMFs) has a substantial effect on structural response. One way to include the PZ effect on the structural response is Krawinkler's PZ model, which is one of the best and conventional models. However, modeling of Krawinkler's PZ model has its complexity, and finding an alternative procedure for PZ modeling is of interest. In this study, an efficient model is proposed to simplify Krawinkler's PZ model into an Adjusted Rigid-End Zone (AREZ). In this way, the rigid-end-zone dimensions of the beam and column elements are defined through an appropriate rigid-end-zone factor. The dimensions of this region depend on the PZ stiffness, beam(s) and columns' specifications, and connection joint configuration. Thus, to obtain a relationship for the AREZ model, which yields the dimensions of the rigid-end zone, the story drift of an SMF with Krawinkler's PZ model is equalized with the story drift of the same structure with the AREZ model. Then, the degree of accuracy of the resulting relationship is examined in several connections of generic SMFs. Also, in order to demonstrate the applicability of the proposed model in SMFs, several SMFs ranging from 3- to 30-story representing low- to high-rise buildings are examined through linear static and dynamic time history analysis. Furthermore, non-linear dynamic analyses of three SMFs conducted to validate the degree of accuracy of the proposed model in the non-linear analysis of SMFs. Analytical results show that there is considerable conformity between inter-story drift ratio (IDR) results of the SMFs with Krawinkler's PZ model and those of the centerline SMFs with AREZ.

• Journal of KIISE:Software and Applications
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• v.32 no.1
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• pp.1-9
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• 2005

In this paper we propose a modified fuzzy min-max neural network model for pattern classification and discuss the usefulness of the model. We define a new hypercube membership function which has a weight factor to each of the feature within a hyperbox. The weight factor makes it possible to consider the degree of relevance of each feature to a class during the classification process. Based on the proposed model, a knowledge extraction method is presented. In this method, a list of relevant features for a given class is extracted from the trained network using the hyperbox membership functions and connection weights. Ft)r this purpose we define a Relevance Factor that represents a degree of relevance of a feature to the given class and a similarity measure between fuzzy membership functions of the hyperboxes. Experimental results for the proposed methods and discussions are presented for the evaluation of the effectiveness and feasibility of the proposed methods.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.549-554
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• 2016

ConceptNet is a common sense knowledge base which is formed in a semantic graph whose nodes represent concepts and edges show relationships between concepts. As it is difficult to make knowledge base integrity, a knowledge base often suffers from incompleteness problem. Therefore the quality of reasoning performed over such knowledge bases is sometimes unreliable. This work presents neural tensor networks which can alleviate the problem of knowledge bases incompleteness by reasoning new assertions and adding them into ConceptNet. The neural tensor networks are trained with a collection of assertions extracted from ConceptNet. The input of the networks is two concepts, and the output is the confidence score, telling how possible the connection between two concepts is under a specified relationship. The neural tensor networks can expand the usefulness of ConceptNet by increasing the degree of nodes. The accuracy of the neural tensor networks is 87.7% on testing data set. Also the neural tensor networks can predict a new assertion which does not exist in ConceptNet with an accuracy 85.01%.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.68-74
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• 2019

The purpose of this study was to identify research trends of 892 domestic articles (2009-2018) related to emotional labor by using text-mining and network analysis. To this end, the keyword of these papers were collected and coded and eventually converted to 871 nodes and 2625 links for network text analysis. First, network text analysis revealed that the top four main keyword, according to co-occurrence frequency, were burnout, turnover intention, job stress, and job satisfaction in order and that the frequency and the top four core keyword by degree centrality were all relatively the high. Second, based on the top four core keyword of degree centrality the ego network analysis was conducted and the keyword for connection centroid of each network were presented.

• Human Ecology Research
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• v.60 no.1
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• pp.1-20
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• 2022

This paper presents a social network analysis of changes in Home Economics education content loaded on YouTube before and after the outbreak of COVID-19. From January 1, 2008 to June 30, 2021, a basic analysis was conducted of 761 Home Economics education videos loaded on YouTube, using NetMiner 4.3 to analyze important keywords and the centrality of video titles and full texts. Before COVID-19, there were 164 Home Economics education videos posted on YouTube, increasing significantly to 597 following the emergence of the pandemic. In both periods, there was more middle school content than high school content. The content in the child-family field was the most, and the main keywords were youth and family. Before COVID-19, a performance evaluation indicated that the proportion of student content was high, whereas after the outbreak of the disease, teacher content increased significantly due to the effect of distance learning. However, compared with video use, the self-expression and participation of users were lower in both periods. The centrality analysis indicated that in the title, 'family' exhibited a high degree of both centrality and eigenvector centrality over the entire period. Degree centrality of the video title was found to be high in the order of class, online, family, management, etc. after the outbreak of COVID-19, and the connection of keywords was strong overall. Eigenvector centrality indicated that career, search, life, and design were influential keywords before COVID-19, while class, youth, online, and development were influential keywords after COVID-19.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.1
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• pp.103-132
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• 2023

This study developed a risk society education program for undergraduate students to help them understand the epistemological uncertainty of risk caused by COVID-19. And it was applied to science-related classes of undergraduate students, and the purpose was to examine the degree of understanding and thoughts of undergraduate students about the risk society through science writing. As a result, it was found that the degree of understanding of the risk society was very high in all participating students regardless of their majors in science, engineering, humanities and social sciences. In addition, it was analyzed that the risk society education program helped undergraduate students to resolve the epistemological uncertainty of the risk of COVID-19 and to have an attitude to overcome the the difficult mind due to the COVID-19 distancing. The results of this study suggest that risk society education is necessary for future generations living in an era of risk of climate change and pandemic that exceeds the prediction range of science and technology in science education.