• Journal of Gastric Cancer
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• v.5 no.4 s.20
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• pp.228-237
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• 2005

Purpose: We investigated the impacts of the methylation states of the P16 and the hMLH1 genes on pathogenesis and genetic expression of stomach cancer and their relationships with Helicobater pylori infection, and with other clinico-pathologic factors. Material and Methods: In our study, to detect protein expression and methylation status of the P16 and the hMLH1 genes in 100 advanced gastric adenocarcinomas, used immunohistochemical staining and methylation-specific PCR (MSP) and direct automatic genetic sequencing analysis. Results: Methylation of the P16 gene was observed in 19 out of 100 cases (19%) and in the 18 of those cases (94.7%) loss of protein expression was seen. We were sble to show that loss of P16 gene expression was related to methylation of the P16 gene (kappa coefficient=0.317, p=0.0011). Methylation of the hMLH1 gene was observed in 27 cases (27%), and in 24 cases of those 27 cases (88.8%), loss of protein expression was seen, which suggested that loss of protein expression in the hMLH1 gene is related to methylation of hMLH1 gene (kappa coefficient=0.675, P<0.0001). Also methylation of the hMLH1 gene was related to age, size of the mass, and lauren's classification. Conclusion: We found that methylation of DNA plays an important role in inactivation of the P16 and the hMLH1 genes. The methylation of the hMLH1 genes is significantly related to age, size of the mass, and lauren's classification.

• The Korean Journal of Food And Nutrition
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• v.25 no.1
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• pp.132-141
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• 2012

This current survey was conducted to examine consumer attitudes toward factors determining beef purchasing and improving distribution systems. The frequency of beef purchasing was shown to reflect social and economic status, where inhabitants in large cities, such as Seoul, with higher salaries showed a higher frequency. In addition, consumers that were in their forties bought beef more frequently than consumers that were in their twenties. Consumers in Seoul and the megalopolis with a monthly income of higher than 200 million won preferred to purchase meat from department stores and discount markets. In contrast, people in small cities with lower incomes tended to buy meat from butcher shops and brand shops. In a question regarding unsatisfaction factors of retail beef, individuals that were in their thirties with a high income had concerns associated with packaging problems. For people under thirty with low income, the consistency of quality and price were the prime concerns. In regards to the beef grading system, consumer response varied between inhabitants, monthly income and age group, where consumers from small cities that were in their twenties and forties with a low income had a negative viewpoint. For the differential beef distribution system, housewives between the ages of 30 and 40 from a small city with an income higher than 200 million won had a positive response; however, a large number of consumers were not familiar with this system. The most demanding beef cuts were in the following order: loin, flank and rib. In addition, the most important factors determining purchasing beef were as follows: price, breed and portion.

• Journal of the Korean Society of Food Science and Nutrition
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• v.37 no.11
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• pp.1443-1451
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• 2008

This study was performed to develop menu satisfaction index in Business & Industry (B&I) food service and to survey customer's menu satisfaction using the index. The menu satisfaction index included 16 items with Likert 5 point. Cronbach's alpha to assess the internal reliability of the developed scales was 0.8917, which indicated highly reliable. Construct validity was assessed by principal components analysis and then four factors explaining 65.964% of the total variance were found. Among the 15 items of menu satisfaction, the average scores of all items were above 3.0 out of 5. As a result of analysis on menu satisfaction factors, 'propriety of food temperature' (3.52 out of 5) was the highest consideration followed by 'sufficiency of format' (3.46), 'excellence in food' (3.35) and 'well-being orientation' (3.31). It could be said that customer's perception on the menu quality was very positive. Four factors were correlated with overall menu satisfaction positively. Especially, 'excellence in food', and 'well-being orientation' and 'sufficiency of format' affected significantly on overall menu satisfaction. It concluded that customers were satisfied with portion size, temperature, price but their needs for taste and health/nutrition-related service would be increased. The menu satisfaction developed in this study should be applied to other B & I food service operation by type.

• Journal of Bio-Environment Control
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• v.20 no.4
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• pp.399-405
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• 2011

In this study, we evaluated the fruit quality indices and the incidence of physiological disorders of Korean new pear cultivar 'Whasan' to determine appropriate harvest time for exportation and to enhance storability and shelf-life of the fruits during simulated exportation and extending market environment under different temperature conditions. In the experiment of simulated exportation headed for North America including Canada and U.S.A., the fruits transported at $1^{\circ}C$ showed less weight loss than those of $5^{\circ}C$. Market temperature appeared as a key factor for keeping freshness of exported pear fruits rather than transportation temperature. Quality factors such as high flesh firmness and low incidence of fruit rot and physiological disorders including core breakdown and pithiness were attained at the fruits maintained at $18^{\circ}C$ when we compared with $25^{\circ}C$. The fruits of harvested early maturity at 135 day after full bloom showed 28.6 N of flesh firmness when the fruits stored at $1^{\circ}C$ of transportation and $18^{\circ}C$ of market temperature, while the fruits progressed $5^{\circ}C$ of transportation and $25^{\circ}C$ of market temperature dropped to 24.2 N during 30 days of shelf life. Also, a high incidences of physiological disorders and of fruit decay rates were obvious in the fruits distributed at $25^{\circ}C$ were observed approximately two times higher than the those of $18^{\circ}C$. Therefore, temperature management during marketing resulted as an important point for maintaining fruits quality in the process of pear fruit exportation.

• Journal of Chest Surgery
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• v.41 no.1
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• pp.12-24
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• 2008

Background: It is currently thought that tissue valve degeneration is related to an animal's immune response, which is mainly due to cell surface ${\alpha}$-Gal epitopes. Cell surface ${\alpha}$-Gal epitopes are known to be degraded by the enzyme called green coffee bean ${\alpha}$-Galactosidase. It is also well known that ${\alpha}$-Gal epitopes are immunologically stained by Griffonia Simplicifolia isolectin type B4. We know that many commercially available tissue valves are made of aortic valves and pericardial tissue of pig. So, we investigated whether ${\alpha}$-Gal epitopes of the aortic valve and pericardial tissue of a pig can be removed by green coffee bean ${\alpha}$-Galactosidase, and we did so by comparing immunologic staining of the tissues before and after the enzyme treatment. Material and method: After treating fresh porcine aortic valve and pericardial tissue with green coffee bean ${\alpha}$-Galactosidase at concentrations of 0.5 unit/mL, 1.0 unit/mL, 2.0 unit/mL, respectively, under the condition of pH 6.5, temperature. $4^{\circ}C$ and 24 hours of incubation, each sample was stained with Griffonia Simplicifolia isolectin type B4 immunpfluorescent labeling. We then examined whether the ${\alpha}$-Gal epitopes were reduced or abolished in each consecutive. concentration of green coffee bean ${\alpha}$-Galactosidase by comparing the degree of the Griffonia Simplicifolia isolectin B4 staining in each sample. Result: In the pig aortic valve tissue, a 1.0 unit/mL concentration of green coffee bean ${\alpha}$-Galactosidase at pH 6.5, $4^{\circ}C$ and reaction for 24 hours was enough for complete removal of ${\alpha}$-Gal epitopes from the cell sur face on the immunostaining with Griffonia Simplicifolia isolectin B4. On the other hand, more ${\alpha}$-Gal epitopes were present in the pig pericardial tissue on Griffonia Simplicifolia isolectin B4 staining before the enzyme treatment, and 1.0 unit/mL of galactosidase was not sufficient for complete removal of ${\alpha}$-Gal from the tissue. 2.0 units/mL of green coffee bean ${\alpha}$-Galactosidase was needed to completely remove the ${\alpha}$-Gal epitopes from the pericardial tissue on immunostaining. Conclusion: The ${\alpha}$-Gal epitopes of the pig's aortic valve and pericardial tissue were successfully stained with Griffonia Simplicifolia isolectin B4. We could remove nearly all the ${\alpha}$-Gal epitopes using green coffee bean ${\alpha}$-Galactosidase at the concentration of 1.0 unit/mL in the aortic valve. Of pig, and 2.0 unit/mL was need to nearly completely remove all the ${\alpha}$-Gal epitopes in the pericardial tissue of pig under the condition of pH 6.5, $4^{\circ}C$ and 24 hours of reaction time. In the near future, removal of ${\alpha}$-Gal epitapes in the pig's aortic valve and pericardial tissue will become a powerful tool for the improvement of the tissue valve durability. It needs to be determined if ${\alpha}$-galactosidase treated pig tissue is immune to human anti-Gal antibody or anit-Gal mooclonal antibodies.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.