• Korean Journal of Food Science and Technology
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• v.36 no.1
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• pp.44-49
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• 2004

Changes in quality properties of Kochujang prepared with Paecilomyces japonica powder and extract using different solvents were investigated during 90 days of fermentation at $20^{\circ}C$. Although moisture contents were not significantly different, pH of P. japonica-added Kochujang was lower than that of control group without P. japonica, and decreased with increasing fermentation time. Amino nitrogen content increased up to 60 days of fermentation and decreased slightly after 90 days, with that of P. japonica-added Kochujang showing highest on 30 and 60 days at 179.2 and 282.2 mg%, respectively, higher than control gruup. L, a, and b values decreased in proportion to fermentation period, with P. japonica-added Kochujang, particularly P. japonica powder-added Kochujang, lower than those of control g개up. Sensory evaluation test showed color of control group was 'clear red', whereas that of P. japonica powder-added Kochujang was 'dark reddish brown' and P. japonica extract-added Kochujang was darker than control group; consumer preference for dark color was low, Textures of all samples were 'glossy and smooth', showing high consumer preference. Salt content of P. japonica-added Kochujang was higher than that of control group, with P. japonica extract-added Kochujang higher than that made with powder Hot taste or P. japonica-added Kochujang was weaker, whereas its flavor higher, than control group, with P. japonica powder-added Kochujang showing highest flavor score. Overall preference was higher for P. japonica-added Kochujang than control group, with P. japonica water extract-added Kochujang showing the highest score.

• Clinical and Experimental Pediatrics
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• v.48 no.7
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• pp.779-788
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• 2005

Purpose : Echinacea, a traditional plant medicine has been used as immune-stimulant. Recent studies have revealed that extract of Echinacea has immunostimulatory effects on human blood mononuclear cells. This study was designed for the purpose of screening the genes associated with immunologic effects of Echinacea on monocytes and dendritic cells using a cDNA microarray chip. Methods : $CD14^+$ monocyte cells were cultured for one day with Echinacea extract(final concentration : $50{\mu}g/mL$) in experiment 1, but were cultured without Echinacea in experiment 2. The gene expression of these cultured monocytes was analyzed using the cDNA microarray chip. Dendritic cells produced from $CD14^+$ monocyte were cultured for five days with GM-CSF and IL-4, and then cultured for one day with Echinacea in experiment 3, but were done without Echinacea in experiment 4. Results : In experiments 1 and 2, there were 17 significantly expressed genes with average expression ratios above 2.5, including interferon gamma-inducible protein 30(IFI 30), CDC(cell-division-cylcle)-like kinase 2(CLK 2), syndecan binding protein(syntenin), superoxide dismutase 2, etc. In experiments 3 and 4, there were 24 gene, with significantly expressed genes were 24 genes, which were insulin-like growth factor 2(somatomedin A), methyl-CpG binding domain protein 3, IFI 30, small inducible cytokine subfamily A, member 22, etc. The genes encoding CD44, IFI 30, mannose receptor C type 1(MRC 1), chemokine receptor 7(CCR 7), CLK 2, syntenin and cytochrome C oxidase subunit VIII were significantly expressed in both monocytes and dendritic cells cultured with Echinacea. Conclusion : This study employed a cDNA microarray chip to elicit the immune-associated gene profile; the expression was enhanced by Echinacea in CD14+ monocytes and dendritic cells. Thus we laid the basis for the quantitative and functional analysis of genes induced by Echinacea in monocytes and monocyte-derived dendritic cells.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.105-115
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• 2015

This study examined what effect the educational satisfaction level in the grey job project had on the business effectiveness and verified the effect the participant education satisfaction level had on the project business effectiveness ultimately by influencing the job satisfaction. This study utilized the source data of the senior job project old participant status survey of the Korea senior manpower development center which was conducted in 2013, and the non-proportional stratification sample extracting method was used which considered the project type, regional size, and cities/provinces. Sejong City was excluded from the survey target and the survey targeted 2,005 persons except for non-response or response-irrelevant persons concerning this study question. The collected material was analyzed by using SPSS WIN 21.0 program. The frequency and percentage were calculated to apprehend the general characteristic of the study target. Also, the regression analysis was conducted to examine the effect the educational satisfaction level had on the business effectiveness of the senior job project, and the hierarchical regression analysis was conducted in order to examine the mediated effect of the job satisfaction level in the effect the educational satisfaction level had on the business effectiveness of the senior job project. The main result of this study is as follows. First, among the effects the educational satisfaction level had on the business effectiveness, both interest level of educational contents and the job utilization of education had a significant effect on the psychological effect, and the interest level of the educational contents had a significant level on the physical/social effect, and the job utilization of education had a significant effect on the economic effect. Second, in the effect the educational satisfaction level had on the business effectiveness, the job satisfaction level was confirmed the job satisfaction level had a partial mediated effect in the effect the educational satisfaction level had on the psychological/physical/social effect. The job satisfaction level was confirmed the job satisfaction level had a complete mediated effect in the effect the educational satisfaction level had on the economic effect. Also, The job satisfaction level was confirmed the job satisfaction level had a partial mediated effect in the effect the educational satisfaction level had on the business effectiveness. Consequently, the educational contents according with the demand of job participants will have to be developed and the exclusive manpower must be arranged to conduct the education effectively. Also, making participants feel a pride on the job fully will largely contribute to raising the business effectiveness because the job satisfaction level has a positive effect on the business effectiveness.

• Journal of Korean Home Economics Education Association
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• v.30 no.1
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• pp.99-114
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• 2018

Textbooks are one of the most crucial variables that determine the quality of education and one of the most influential sources for education. Textbooks should be designed with inquiring tendencies so as to help students to practice self-directed learning. inquiring textbooks can not only intrigue students but also enhance the quality of class. Here, this author is going to analyze the inquiring tendencies of a core construct, 'management', in 12 different types of high school Technology & Home Economics textbooks reflecting the 2015 revised national curriculum based on the Romey method. According to the analysis results, only one type of textbook shows inquiring tendencies in the text, which means that the text is more oriented to delivering knowledge rather than to pursuing students' inquiry learning. Because analysis indexes for figures and diagrams fall under the range of desirable inquiring tendencies in 10 types of textbooks, the figures and diagrams presented in Home Economics textbooks are intended to induce particular learning activity. Learning activity indexes reveal 9 types of textbooks' inquiring tendencies, which means that Home Economics textbooks present a reasonable amount of learning activity in general in order to intrigue students and stimulate their inquiring mind. In terms of evaluation indexes, only 2 types of textbooks show inquiring tendencies. According to the results of examining each individual textbook, some of the Home Economics textbooks reflecting the 2015 revised national curriculum include inquiring elements in the text, figures and diagrams, activities, and evaluation all; however, some still need improvements. Regarding how to better the Home Economics textbooks, this researcher will suggest the following implications and complements. Home Economics textbooks should include inquiring elements to induce interactions properly in the class, and when they write the textbooks, the text, figures and diagrams, activities, and evaluation should be designed balancedly, and the questions need to be expressed in a way to develop students' inquiring mind.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.7
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• pp.271-278
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• 2021

As the current cyber attacks become more intelligent, the existing Intrusion Detection System is difficult for detecting intelligent attacks that deviate from the existing stored patterns. In an attempt to solve this, a model of a deep learning-based intrusion detection system that analyzes the pattern of intelligent attacks through data learning has emerged. Intrusion detection systems are divided into host-based and network-based depending on the installation location. Unlike network-based intrusion detection systems, host-based intrusion detection systems have the disadvantage of having to observe the inside and outside of the system as a whole. However, it has the advantage of being able to detect intrusions that cannot be detected by a network-based intrusion detection system. Therefore, in this study, we conducted a study on a host-based intrusion detection system. In order to evaluate and improve the performance of the host-based intrusion detection system model, we used the host-based Leipzig Intrusion Detection-Data Set (LID-DS) published in 2018. In the performance evaluation of the model using that data set, in order to confirm the similarity of each data and reconstructed to identify whether it is normal data or abnormal data, 1D vector data is converted to 3D image data. Also, the deep learning model has the drawback of having to re-learn every time a new cyber attack method is seen. In other words, it is not efficient because it takes a long time to learn a large amount of data. To solve this problem, this paper proposes the Siamese Convolutional Neural Network (Siamese-CNN) to use the Few-Shot Learning method that shows excellent performance by learning the little amount of data. Siamese-CNN determines whether the attacks are of the same type by the similarity score of each sample of cyber attacks converted into images. The accuracy was calculated using Few-Shot Learning technique, and the performance of Vanilla Convolutional Neural Network (Vanilla-CNN) and Siamese-CNN was compared to confirm the performance of Siamese-CNN. As a result of measuring Accuracy, Precision, Recall and F1-Score index, it was confirmed that the recall of the Siamese-CNN model proposed in this study was increased by about 6% from the Vanilla-CNN model.

• Journal of the Korean earth science society
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• v.43 no.2
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• pp.239-252
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• 2022

Quality control methods for the first G-band vapor radiometer (GVR) mounted on a weather aircraft in Korea were developed using the GVR Precipitable Water Vapor (PWV). The aircraft attitude information (degree of pitch and roll) was applied to quality control to select the shortest vertical path of the GVR beam. In addition, quality control was applied to remove a GVR PWV ≥20 mm. It was found that the difference between the warm load average power and sky load average power converged to near 0 when the GVR PWV increased to 20 mm or higher. This could be due to the high brightness temperature of the substratus and mesoclouds, which was confirmed by the Communication, Ocean and Meteorological Satellite (COMS) data (cloud type, cloud top height, and cloud amount), cloud combination probe (CCP), and precipitation imaging probe (PIP). The GVR PWV before and after the application of quality control on a cloudy day was quantitatively compared with that of a local data assimilation and prediction system (LDAPS). The Root Mean Square Difference (RMSD) decreased from 2.9 to 1.8 mm and the RMSD with Korea Local Analysis and Precipitation System (KLAPS) decreased from 5.4 to 4.3 mm, showing improved accuracy. In addition, the quality control effectiveness of GVR PWV suggested in this study was verified through comparison with the COMS PWV by using the GVR PWV applied with quality control and the dropsonde PWV.

• 한국노년학
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• v.39 no.3
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• pp.467-484
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• 2019

The purpose of this study is to explore latent classes of longitudinal medical expenses of older people and to analyze its predictors and its effects on subjective health. Among participants of the Korean Health Panel, the sample of this study includes 1,119 people who is 65-year-old or older and reported their medical expenses for nine consecutive years. The analyses were conducted in three steps. First, Growth Mixture Model (GMM) was applied to find distinct subgroups showing similar patterns in medical expenses. The results showed four groups which were classified as high medical expenditure maintenance group, medical expenditure increase group, low medical expenditure maintenance group, and medical expenditure reduction group. Second, the multinominal logistic regression found that the presence of spouse, economic participation, the number of chronic diseases, and the type of health insurance were significant predictors of latent classes in medical expenses. In particular, the greater the number of chronic diseases, the higher the likelihood of belonging to the high medical expenditure maintenance group. In addition, medical benefit recipients are more likely to belong to the low medical cost maintenance and medical cost reduction groups. Third, multiple regression analysis revealed that the older people in the groups with low or reducing expenses reported better subjective health than people with higher expenses. This study has its meanings in exploring the heterogeneity in longitudinal medical expenses among older people and its predictors and its associations with health outcome. The results of this research provide background information in establishing public health policy for older people.

• Journal of Food Hygiene and Safety
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• v.39 no.2
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• pp.163-170
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• 2024

Red ginseng is manufactured as a health-functional food and is also present in various food types and in different product forms. However, there is currently no standardized regulation of ginsenoside content in foods containing red ginseng. In the present study, we analyzed the ginsenoside content of 66 red ginseng-containing foods and 35 health-functional foods collected online and directly from the market. The ginsenoside content was assessed using liquid chromatography (LC) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods. The ginsenoside content of the various food types ranged 0.0 (not detected)-71.567 mg per daily intake of foods containing red ginseng. Sugar-preserved foods had the highest ginsenoside content, followed by solid teas, liquid teas, and red ginseng beverages. For health-functional foods, the ginsenoside content ranged 3.4-58.5 mg per daily intake, with levels ranging 83-607% of the indicated amounts. All values met the established standards. Upon comparing red ginseng health-functional foods and red ginseng-containing foods, the average ginsenoside content was determined to be 18.21 and 8.79 mg, respectively, thus being nearly twice as high in health-functional foods. However, there was a minimal difference between the ginsenoside content of red and black ginseng, with values of 11.84 and 12.63 mg, respectively. These findings provide insights on the variations in ginsenoside content of red and black ginseng in various food forms. This information is expected to be valuable for future regulations and consumer choice of products containing red ginseng.

• Journal of the Mineralogical Society of Korea
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• v.30 no.3
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• pp.93-102
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• 2017

Heavy mineral provide an important information for sediment provenance as well as a potential submarine mineral resources. We compared the heavy mineral characteristics between Southeastern Yellow Sea Mud (SEYSM) and Southwestern Cheju Island Mud (SWCIM) surface sediments. We separated heavy minerals from 28 surface sediments in each mudbelt, and then carried out stereo-microscopic, field-emission scanning electron microscopic, energy dispersive spectroscopic and electron probe microanalysis to characterize the type, abundance, mineralogical properties and distribution pattern of heavy mineral. Amphibole and epidote, which are two major heavy minerals, account for more than 70% of total heavy minerals. Zircon and sphene contents are more abundant in SEYSM, whereas apatite and rutile contents are more abundant in SWCIM. Monazite only occurs in some area of SEYSM. Sphene and monazite content decrease to the south in SEYSM. Both garnet-zircon index (GZi) and rutile-zircon index (RuZi) are low in SEYSM but high in SWCIM. Amphiboles in SEYSM primarily correspond to hornblende, however those in SWCIM represent variable composition from pargasite, tshermakite, hornblende to tremolite. Garnets in SEYSM have high Mg and low Ca, but those in SWCIM have low Mg with variable Ca. Different heavy mineral characteristics between SEYSM and SWCIM suggests that sediments in each mudbelt have different provenances. Although this study implies that SEYSM sediment may mostly come from nearby Korean western rivers such as the Keum and Han rivers, this study does not suggest any idea of the source area of SWCIM sediment. Further study is needed to interpret the provenance and transportation mechanism of mudbelt sediments through the heavy mineral research for the river sediments flowing into the Yellow Sea and much more marine sediments.

• Journal of The Korean Association For Science Education
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• v.30 no.5
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• pp.576-593
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• 2010

The purpose of this study was to identify the current status of ethics education in science and technology for pre-service science teachers and find out their recognition on the needs for ethics education at school. A survey was administered for this study and a total of 594 pre-service science teachers studying in college/university of education participated. The survey was organized to examine participants' 1) experience in ethics education in science and technology, 2) recognition on the needs of ethics education in science and technology, and 3) the need for it in elementary and secondary school. Each item was responded using either 1 to 5 Likert type scale, multiple choices, or open questionnaires. The results showed that 37.4% of participants obtain science technology information from the mass media, and 23.5% from the school education. Only 8.4% of the participants had the experience of taking class on ethics in science and technology. In terms of level of confidence in understanding the ethical issues in science and technology, the average response was 2.73. However, their perception on the needs of the ethics education ranges from 3.34 to 4.58, which is much stronger than other responses on average. This strong perception on the needs was much higher for pre-service science teachers for elementary school, than those of the secondary school(p<.05). All participants recognized the need for ethics education in science and technology at both elementary and secondary school. In responses for which subject should provide ethical issues on science and technology, science class was most frequently suggested (62.4%), followed by ethics class (29.1%). In responses for the most efficient form of learning, they suggested that case studies (43.5%), followed by discussions (41.4%) would be an efficient way to learn. Even in the responses of open questionnaires asking for efficient ways of learning ethical issues, participants suggested that discussions on various ethical issues on the cases in the science and technology would provide practical and substantial learning.