• The Plant Pathology Journal
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• v.40 no.2
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• pp.225-232
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• 2024

The microbiomes of two important rice cultivars in Vietnam which differ by their susceptibility to the bacterial leaf blight (BLB) disease were analyzed through 16S rRNA amplicon technology. A higher number of operational taxonomic units and alpha-diversity indices were shown in the BLB-resistant LA cultivar than in the BLB-susceptible TB cultivar. The BLB pathogen Xanthomonas was scantly found (0.003%) in the LA cultivar, whereas was in a significantly higher ratio in the TB cultivar (1.82%), reflecting the susceptibility to BLB of these cultivars. Of special interest was the genus Acholeplasma presented in the BLB-resistant LA cultivar at a high relative abundance (22.32%), however, was minor in the BLB-sensitive TB cultivar (0.09%), raising a question about its roles in controlling the Xanthomonas low in the LA cultivar. It is proposed that Acholeplasma once entered the host plant would hamper other phytopathogens, i.e. Xanthomonas, by yet unknown mechanisms, of which the triggering of the host plants to produce secondary metabolites against pathogens could be a testable hypothesis.

• Journal of Microbiology and Biotechnology
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• v.34 no.2
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• pp.306-313
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• 2024

Given the diversity of vegetables utilized in food fermentation and various lactic acid bacteria (LAB) populations in these materials, comprehensive studies on LAB from vegetable foods, including kimchi, are imperative. Therefore, this study aimed to investigate the obesity-related inflammation response of three metabolites-phenyllactic acid (PLA), indole-3-lactic acid (ILA), and leucic acid (LA)-produced by LAB (Companilactobacillus allii WiKim39 and Lactococcus lactis WiKim0124) isolated from kimchi. Their effects on tumor necrosis factor-α-induced changes in adipokines and inflammatory response in adipose-derived human mesenchymal stem cells were examined. The study results showed that PLA, ILA, and LA, particularly PLA, effectively reduced lipid accumulation and triglyceride, glycerol, free fatty acid, and adiponectin levels. Furthermore, the identified metabolites were found to modulate the expression of signaling proteins involved in adipogenesis and inflammation. Specifically, these metabolites were associated with enriched expression in the chemokine signaling pathway and cytokine-cytokine receptor interaction, which are critical pathways involved in regulating immune responses and inflammation. PLA, ILA, and LA also suppressed the secretion of pro-inflammatory cytokines and several inflammatory markers, with the PLA-treated group exhibiting the lowest levels. These results suggest that PLA, ILA, and LA are potential therapeutic agents for treating obesity and inflammation by regulating adipokine secretion and suppressing pro-inflammatory cytokine production.

• The Korean Journal of Mycology
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• v.52 no.2
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• pp.125-134
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• 2024

A fungal strain, KNUF-4H-A belonging to the genus Phaeosphaeria was isolated from the citrus flower chafer (Gametis jucunda) in Chungcheongbuk-do, Korea. This strain was further identified as Phaeosphaeria chengduensis through phylogenetic analyses based on a concatenated dataset of DNA sequences of internal transcribed spacer (ITS) regions, as well as the small subunit rDNA (SSU), large subunit rDNA (LSU), RNA polymerase II second largest subunit (RPB2), and translation elongation factor 1-α (TEF1-α) genes. The isolate KNUF-4H-A exhibited typical cultural characteristics of P. chengduensis, producing colonies that were flattened, greenish-grey at the edges, grey-white at the center, and dark brown on the reverse side. Phaeosphaeria species have been reported in various ecosystems, including terrestrial and freshwater environments. The isolation of KNUF-4H-A from the citrus flower chafer provides valuable insights into the habitat diversity of Phaeosphaeria. This is the first record of Phaeosphaeria chengduensis in Korea.

• Journal of Nutrition and Health
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• v.53 no.1
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• pp.68-82
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• 2020

Purpose: This study evaluated the dietary quality and nutritional status of elderly people using the Nutrition Quotient for Elderly (NQ-E). Methods: The participants were 204 elderly people over 65 years of age (38 men and, 166 women) in Seoul. The dietary information was analyzed using a questionnaire of NQ-E, which consisted of 19 checklist items, and 24-recall test data. The NQ-E scores and its four factors, including 'balance', 'moderation', 'diversity', and 'dietary behavior' factors, were calculated according to general characteristics of the subjects. The subjects were divided into the 'monitoring needed group' (62 > NQ-E score) and the 'good group' (62 ≤ NQ-E score) according to their NQ-E score. Results: The mean NQ-E score of the total subjects was 61.9, which was within the mediumhigh grade. The scores of balance, moderation, and dietary behavior factors were within the medium-high grade, while the score of the diversity factor was within the medium-low grade. The NQ-E score was 54.8 in the monitoring needed group and 69.3 in the good group. For the score of the diversity factor, the elderly living alone had a significantly lower score than the score for the elderly living with a spouse. The female subjects showed significantly higher scores of moderation and dietary behavior factors than did the male subjects. The daily intakes of vitamin A, thiamin, riboflavin, vitamin C and calcium in the monitoring needed group were significantly lower than those in the good group. The nutrient adequacy ratios (NAR) of vitamin A, thiamin, riboflavin, vitamin C and calcium in the monitoring needed group were significantly lower compared to the scores of the good group. The indexes of nutritional quality (INQ) of vitamin A, thiamin, riboflavin, vitamin C, calcium and potassium were less than 1 for all the subjects. The monitoring needed group had a significantly lower consumption of total foods, vegetables and mushrooms than the good group. As a result, the nutritional status of the monitoring needed group was significantly lower than that of the good group. Conclusion: The results of this study show that NQ-E would be a useful tool for assessing the dietary quality of the elderly. In conclusion, a focused-nutrition education program and a useful guideline are needed for promoting the health and nutritional status in elderly people.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.99-112
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• 2010

Ensemble learning is a method for improving the performance of classification and prediction algorithms. It is a method for finding a highly accurateclassifier on the training set by constructing and combining an ensemble of weak classifiers, each of which needs only to be moderately accurate on the training set. Ensemble learning has received considerable attention from machine learning and artificial intelligence fields because of its remarkable performance improvement and flexible integration with the traditional learning algorithms such as decision tree (DT), neural networks (NN), and SVM, etc. In those researches, all of DT ensemble studies have demonstrated impressive improvements in the generalization behavior of DT, while NN and SVM ensemble studies have not shown remarkable performance as shown in DT ensembles. Recently, several works have reported that the performance of ensemble can be degraded where multiple classifiers of an ensemble are highly correlated with, and thereby result in multicollinearity problem, which leads to performance degradation of the ensemble. They have also proposed the differentiated learning strategies to cope with performance degradation problem. Hansen and Salamon (1990) insisted that it is necessary and sufficient for the performance enhancement of an ensemble that the ensemble should contain diverse classifiers. Breiman (1996) explored that ensemble learning can increase the performance of unstable learning algorithms, but does not show remarkable performance improvement on stable learning algorithms. Unstable learning algorithms such as decision tree learners are sensitive to the change of the training data, and thus small changes in the training data can yield large changes in the generated classifiers. Therefore, ensemble with unstable learning algorithms can guarantee some diversity among the classifiers. To the contrary, stable learning algorithms such as NN and SVM generate similar classifiers in spite of small changes of the training data, and thus the correlation among the resulting classifiers is very high. This high correlation results in multicollinearity problem, which leads to performance degradation of the ensemble. Kim,s work (2009) showedthe performance comparison in bankruptcy prediction on Korea firms using tradition prediction algorithms such as NN, DT, and SVM. It reports that stable learning algorithms such as NN and SVM have higher predictability than the unstable DT. Meanwhile, with respect to their ensemble learning, DT ensemble shows the more improved performance than NN and SVM ensemble. Further analysis with variance inflation factor (VIF) analysis empirically proves that performance degradation of ensemble is due to multicollinearity problem. It also proposes that optimization of ensemble is needed to cope with such a problem. This paper proposes a hybrid system for coverage optimization of NN ensemble (CO-NN) in order to improve the performance of NN ensemble. Coverage optimization is a technique of choosing a sub-ensemble from an original ensemble to guarantee the diversity of classifiers in coverage optimization process. CO-NN uses GA which has been widely used for various optimization problems to deal with the coverage optimization problem. The GA chromosomes for the coverage optimization are encoded into binary strings, each bit of which indicates individual classifier. The fitness function is defined as maximization of error reduction and a constraint of variance inflation factor (VIF), which is one of the generally used methods to measure multicollinearity, is added to insure the diversity of classifiers by removing high correlation among the classifiers. We use Microsoft Excel and the GAs software package called Evolver. Experiments on company failure prediction have shown that CO-NN is effectively applied in the stable performance enhancement of NNensembles through the choice of classifiers by considering the correlations of the ensemble. The classifiers which have the potential multicollinearity problem are removed by the coverage optimization process of CO-NN and thereby CO-NN has shown higher performance than a single NN classifier and NN ensemble at 1% significance level, and DT ensemble at 5% significance level. However, there remain further research issues. First, decision optimization process to find optimal combination function should be considered in further research. Secondly, various learning strategies to deal with data noise should be introduced in more advanced further researches in the future.

• Korean Journal of Environment and Ecology
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• v.31 no.3
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• pp.297-317
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• 2017

The research has been conducted in order to classify the vegetation types of natural forest in Mt. Janggunbong, Bonghwa-Gun and establish its following characteristics of stands. Vegetation data were collected by June in 2014 to August in 2016. Based on the 71 quadrates, we carried out an analysis of species-area curve, vegetation types, importance value, species diversity, coincidence method and CCA. As a result of the species-area curve, it was showed the proper investigation, vascular plants consisted a total of 227 taxa; 67 families, 152 genera, 197 species, 3 subspecies, 27 varieties. The forest vegetation was classified into 7 vegetation units, when it comes to a community group, they are classified into the Quercus mongolica community group. As for community, Q. mongolica community group is classified into the Acer pictum subsp. mono community, Pinus koraiensis community and Q. variabilis community. As for group, A. pictum subsp. mono community is classified into Lychnis cognata group and Deutzia glabrata group. The P. koraiensis community is classified into A. komarovii group and P. koraiensis typical group. The Q. variabilis community is classified into Parthenocissus tricuspidata group and Q. variabilis typical group. As for subgroup, P. tricuspidata group is classified into P. tricuspidata typical subgroup and Salix caprea subgroup. As a result of the importance value, Q. mongolica showed highest importance value in tree layer of vegetation units 1, 2, 3, 4 and 5. Betula schmidtii showed highest importance value in tree layer of vegetation unit 6. P. densiflora showed highest importance value in tree layer of vegetation unit 7. In subtree layer, shrub layer and herb layer of vegetation units 6 and 7, Q. mongolica and Q. variabilis showed high importance value. This implying that a vegetation units 6 and 7 is predicted to be composed by Q. mongolica and Q. variabilis. As for species diversity, vegetation units 1, 2 and 3 showed high species diversity(2.130~2.353). It was considered to be due to the topographical characteristics of valley. As a result of coincidence method and CCA, altitude showed high correlation than other environmental factor.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.4
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• pp.159-174
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• 2017

The purpose of this study was to examine whether the entrepreneurship education through team learning positively influences the effectiveness of team learning and the satisfaction of entrepreneurship curriculum. To do this, we analyzed the questionnaire data of 149 students who took the entrepreneurship course that was conducted by the team learning method focused on problem solving task among the entrepreneurship courses opened in the venture autonomous major. First, we examined the effect of team learning effectiveness and entrepreneurial education satisfaction on the effectiveness of the team learning by individual's intention for startup, diversity of team members, and supporting activities of assistants as independent variables. For this, hierarchical regression analysis was conducted to examine whether independent variables influenced the effectiveness of team learning, and whether the effectiveness of team learning mediates between these independent variables and entrepreneurial education satisfaction. The results of this study support the hypothesis that supporting activities of assistants will influence team learning effectiveness. However, the hypothesis that individual's intention for startup or team diversity influences team learning effectiveness was rejected. On the other hand, the results of the regression analysis show that individual's intention for startup has a significant effect on the satisfaction of entrepreneurship education. In addition, the effectiveness of team learning was found to be influential on the educational satisfaction, and it was verified that the effectiveness of team learning was mediating between the supporting activities of assistants and the satisfaction of entrepreneurship education. Especially, as a result of the hierarchical regression analysis, it was found that the significance of the supporting activities of assistants decreased remarkably. This suggests that the mediating path that affects the satisfaction of entrepreneurship education is very meaningful through the effectiveness of the team learning although the supporting activities of assistants are partially mediated. As a result of this study, it was found that the supporting activities of assistants are important in the team learning entrepreneurship education and it is also confirmed that the individual's intention for startup is also important. Especially, supporting activities of assistants were found to be an important factor affecting the satisfaction of entrepreneurship education through the effectiveness of team learning. Therefore, I think that it is essential to designing a practical education course that meets individual's intention for startup in the entrepreneurship education of university students and networking with the participation of internal and external experts or entrepreneurs. In addition, I think that it is necessary to think more thoughtfulness about the composition of team members in the team learning, and to provide more meticulous support to the effectiveness of the team learning.

• Journal of Nutrition and Health
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• v.52 no.5
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• pp.501-513
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• 2019

Purpose: This study examined the menu pattern, food diversity, and satisfaction of parents with the snack menus of childcare centers provided by the Center for Children's Foodservice Management (CCFM) in Jeonbuk area. Methods: Data from 2,432 snack menus (1,321 for morning snacks and 1,111 for afternoon snacks) of March, June, September, and December 2017 from 13 CCFM in Jeonbuk area were analyzed. In addition, the participants for the survey were 247 parents in Jeonju and Kunsan. The data were analyzed using a t-test, ${\chi}^2$-test, and hierarchical regression analysis with SPSS v. 24.0. Results: Differences in the menu pattern and food diversity were observed between morning and afternoon snack menus. The majority of snack menus (61.6%) were one menu item. The percentage of 'G' (20.0%) was highest in the food group patterns. The morning snacks served mainly porridge, raw fruits, and milk, and the afternoon snacks served mainly flour-based foods, juices, and milk. The awareness level of parents about the snack menus of daycare centers was $4.09{\pm}0.82$, and its overall satisfaction was $4.06{\pm}0.69$. In the snack-quality attribute analysis, the hygiene of foods was the most important factor, and parents judged that they were doing well. Regression analysis showed that the hygiene of personnel was the most influential variable on the overall satisfaction, followed by balance with the main meal and the portion size. Conclusion: Therefore, it is important to establish snack menu guidelines considering the eating behaviors of the children and to strengthen hygiene for the increasing the satisfaction of various stakeholders in daycare centers.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.193-212
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• 2011

Mobile instant messaging service is surfacing to an important keyword in the mobile market together with popularization of Smart phones. Mobile instant messaging service in Korea has become popular to the degree of 87.9% usages from total Smartphone holders, and it is expected that using populations will be more enlarged afterwards if considering a fact that its populations of Smartphone is continuously being increased after exceeding 10 million persons (Trend Monitor, June 2011). In the instant messaging market where competitions have been deepened day by day, raising customer's royalties will be the key for company's business survivals and goals of corporate marketing strategies. It could be said that understanding on which factors affect to customer retentions and royalties is very important. Specially, as changing status is being progressed very quickly in case of innovative mobile services like the instant messaging service, research necessities on how many do consumers use the services after accepting them, how much do consumers use them variously, and whether does it connect to long-term relations have been increased, but studies on such matters are in insufficient situations actually. Therefore, this study examined on which effects were affected to use-diffusion and loyalty factors from perceived customer vales' factors having been occurred after accepting the mobile instant messaging service, namely 'functional value', 'monetary value', 'emotional value', and 'social value'. Also, the study looked into what kind of roles do the service usage and using variety play to service's continued using intents as a loyalty index, recommending intents to others, and brand switching intents. And then the study laid the main purpose in trying to provide implications for enhancing customer securities and royalties on the mobile instant messaging service through research's results. The research hypotheses are as follows; H1: Perceived values will affect influences to royalties. H2: Use-Diffusion will affect influences to loyalty. H3: Perceived value will affect influences to loyalty. H4: The use-diffusion will play intermediating roles between perceived values and loyalty. Total 276 cases among collected 284 ones were used for the statistical analysis by SPSS ver. 15 package. Reliability, Factor analysis, regression were done. As the result of research, 'monetary value' and 'emotional value' affected to 'usage' among perceived value factors, and 'emotional value' was appeared as affecting the largest influence. Besides, the usage affected to constant-using intents and recommending intents to others, and using varieties were displayed as affecting to recommending intents to others. On the other hand, 'Using' and 'Using diversity' were appeared as not affecting to 'brand switching intentions'. Meanwhile, as the result of recognizing about effects of perceived values on the loyalty, it was appeared such like 'continued using intents' affected to'functional value', 'monetary value', and 'social value' first, and also 'monetary value', 'emotional value', and 'social value' affected to 'recommending intents to others'. On the other hand, it was shown such like only 'social value' affected influences to 'brand switching intents', and thus contrary results with the factor 'constant-using intents' were displayed. So, it seems that there are many applications to service provides who are worrying about marketing strategies for making consumer retains (constant-using) and new consumer's inductions (brand-switching intents). Finally, as a result of looking into intermediating roles of the use-diffusion factor in relations between conceived values and royalties at hypothesis 4, 'using' and 'using diversity' were displayed as affecting significant influences all together. Regarding to research result's implications, for expanding and promoting continued uses of the mobile instant messaging service by service providers: First, encouraging recognitions on the perceived value connected to users' service usage are necessary. Second, setting up user's use-diffusion strategies are required so as to enhance the loyalty after understanding a fact that use-diffusion patterns affecting to the service's loyalty are different. Finally, methods of raising customer loyalties and making constant relationships have to be grouped by analyzing on what are the customer value's factors that can satisfy users in competitive alterations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2477-2488
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• 2011

The study of the Korean World Cup soccer event sports what is the character's preference factors were analyzed inductively. For this purpose the following research methods were used. First, the target for the study of the D City 10, 20, 30, 40 respectively 30 patients were sampled. World Cup soccer event of the 12 sports chosen for frequency analysis of characters, the final four characters for the analysis of qualitative data were collected from questionnaires 'What aspect of your character do you like this?' that consists of an open survey conducted by Was. As a result, about World Cup chukguk character of the sports people have a preference factors were altered by age, by comprehensively, the Korean people in terms of the five characters and related factors that have in common, which prefer oehyeongseong, internality, Meaningfulness, diversity, and specificity was. Specifically, the 'oehyeongseong' the cute look or exercise (soccer) would be good to see such a varied and colorful, with friendly materials, including a preference factor, and 'internality' and the friendly and patriotic images, meaning Star 'in football and that implies a special meaning was preferred. Finally, the specificity due to the food culture in Korea prefer rooting factors were analyzed.