• Journal of Life Science
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• v.28 no.5
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• pp.517-523
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• 2018

Elevated levels of cortisol caused by chronic stress may lead to neuron damage in the hippocampus by activating the glucocorticoid receptors (GRs). In cortisol-deficient animals, corticosterone is known to function as a stress hormone. In humans however, corticosterone is considered a precursor of aldosterone and a glucocorticoid with similar properties to cortisol. Recently, many studies have been conducted on the role of cortisol and other synthetic glucocorticoids like dexamethasone in humans, but the exact function of corticosterone is unknown. This study examined the viability of human neuroblastoma SH-SY5Y cells treated with various concentrations of corticosterone for 24 and 48 hr via MTT assay. The MTT-assay results showed that corticosterone had an antiproliferation effect on SH-SY5Y cells at higher concentrations (500 and $1,000{\mu}M$), while in lower concentrations ($100{\mu}M$), it showed no antiproliferation effect. Cytotoxicity analysis of extracts from three medicinal crops (Liriope muscari, Schisandra chinensis, and Wolfiporia extensa) revealed that they all possessed deleterious effects on SH-SY5Y cells depending on dosage. However, it was observed that, at a concentration of $500{\mu}g/ml$, Liriope muscari attenuated the corticosterone-induced antiproliferation on SY-SH5Y cells and restored cell growth after 48 hours of treatment. The study examined the synergistic effect of six mixtures each containing $500{\mu}g/ml$ of Liriope and various concentrations of Schisandra (50 or $100{\mu}g/ml$) and Wolfiporia (10, 30, and $50{\mu}g/ml$). The results showed minor growth-restoration activity but less than that of Liriope muscari only, suggesting that Schisandra and Wolfiporia had no additive or synergistic effects.

• Proceedings of the Ginseng society Conference
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• 1984.09a
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• pp.83-88
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• 1984

It is now well established that the rodenticide Vacor (N-3-pyridyl-mehtyl-N'-p-nitropheny-lurea) causes a hyperglycemia in human and rats. It is also reported that there are some components (DPG-3) in ginseng radix which cause hypoglycemic effect on alloxan diabetic mice. In the present study, attempts were made to demonstrate in Vacor-poisoned rats the hypo-glycemic activity of red ginseng component(RGC), which was extracted by Kimura's DPG-3 extraction procedure and found to be effective for lowering a hyperglycemia in alloxan-diabetic rats. Vacor in a dose of $LD_{50}$ (10mg/kg) produced a glucose intolerance with a paradoxical moderate increase in blood immunoreactive insulin and derangement in glucose metabolism of epididymal adipocytes in rats. Although RGC (20mg/kg, i.p.) did not exert any significant influence on a hyperglycemia induced by large lethal doses (25mg/kg) of Vacor ingestion, it improved the LDso Vacor-induced glucose intolerance and caused a further increase in blood insulin levels in Vacor-poisoned rats. The administration of RGC (20mg/kg, i.p.) normalized Vacor-induced depression of glucose metabolism and lipogenesis in the epididymal adipocytes with an improvement of reduced responses to insulin of adipocytes from Vacor-poisoned rats. These results suggest that some red ginsneng components contained in RGC fraction normalize the depressed peripheral glucose unitlization and insulin response and eventually lead to an improvement of abnormal glucose tolerance developed in rats poisoned with small doses of Vacor.

• Journal of Korean Tunnelling and Underground Space Association
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• v.15 no.5
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• pp.505-522
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• 2013

Previously, a new concept of indexing methodology has been proposed for quantitative assessment of tunnel collapse hazard level at each tunnel face with respect to the given geological data, design condition and the corresponding construction activity (Shin et al, 2009a). In this paper, 'linear' model, in which weights of influence factors are invariable, and 'non-linear' model, in which weights of influence factors are variable, are taken into account with some examples. Then, the 'non-linear' model is validated by using 100 tunnel collapse cases. It appears that 'non-linear' model allows us to have adapted weight values of influence factors to characteristics of given tunnel site. In order to make a better understanding and help for an effective use of the system, a series of operating processes of the system are built up. Then, by following the processes, the system is applied to a real-life tunnel project in very weak and varying ground conditions. Through this approach, it would be quite apparent that the tunnel collapse hazard indices are determined by well interlinked consideration of face mapping data as well as design/construction data. The calculated indices seem to be in good agreement with available electric resistivity distribution and design/construction status. In addition, This approach could enhance effective usage of face mapping data and lead timely and well corresponding field reactions to situation of weak tunnel faces.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.127-139
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• 2013

With an advent of recent knowledge-based society, the interest in intellectual property has increased. Firms have tired to result in productive outcomes through continuous innovative activity. Especially, ICT firms which lead high-tech industry have tried to manage intellectual property more systematically. Firm's interest in the patent has increased in order to manage the innovative activity and Knowledge property. The patent involves not only simple information but also important values as information of technology, management and right. Moreover, as the patent has the detailed contents regarding technology development activity, it is regarded as valuable data. The patent which reflects technology spread and research outcomes and business performances are closely interrelated as the patent is considered as a significant the level of firm's innovation. As the patent information which represents companies' intellectual capital is accumulated continuously, it has become possible to do quantitative analysis. The advantages of patent in the related industry information and it's standardize information can be easily obtained. Through the patent, the flow of knowledge can be determined. The patent information can analyze in various levels from patent to nation. The patent information is used to analyze technical status and the effects on performance. The patent which has a high frequency of citation refers to having high technological values. Analyzing the patent information contains both citation index analysis using the number of citation and network analysis using citation relationship. Network analysis can provide the information on the flows of knowledge and technological changes, and it can show future research direction. Studies using the patent citation analysis vary academically and practically. For the citation index research, studies to analyze influential big patent has been conducted, and for the network analysis research, studies to find out the flows of technology in a certain industry has been conducted. Social network analysis is applied not only in the sociology, but also in a field of management consulting and company's knowledge management. Research of how the company's network position has an impact on business performances has been conducted from various aspects in a field of network analysis. Social network analysis can be based on the visual forms. Network indicators are available through the quantitative analysis. Social network analysis is used when analyzing outcomes in terms of the position of network. Social network analysis focuses largely on centrality and structural holes. Centrality indicates that actors having central positions among other actors have an advantage to exert stronger influence for exchange relationship. Degree centrality, betweenness centrality and closeness centrality are used for centrality analysis. Structural holes refer to an empty place in social structure and are defined as efficiency and constraints. This study stresses and analyzes firms' network in terms of the patent and how network characteristics have an influence on business performances. For the purpose of doing this, seventy-four ICT companies listed in S&P500 are chosen for the sample. UCINET6 is used to analyze the network structural characteristics such as outdegree centrality, betweenness centrality and efficiency. Then, regression analysis test is conducted to find out how these network characteristics are related to business performance. It is found that each network index has significant impacts on net income, i.e. business performance. However, it is found that efficiency is negatively associated with business performance. As the efficiency increases, net income decreases and it has a negative impact on business performances. Furthermore, it is shown that betweenness centrality solely has statistically significance for the multiple regression analysis with three network indexes. The patent citation network analysis shows the flows of knowledge between firms, and it can be expected to contribute to company's management strategies by analyzing company's network structural positions.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.65-82
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• 2015

Recently, there has been a surge of interest in finding core issues and analyzing emerging trends for the future. This represents efforts to devise national strategies and policies based on the selection of promising areas that can create economic and social added value. The existing studies, including those dedicated to the discovery of future promising fields, have mostly been dependent on qualitative research methods such as literature review and expert judgement. Deriving results from large amounts of information under this approach is both costly and time consuming. Efforts have been made to make up for the weaknesses of the conventional qualitative analysis approach designed to select key promising areas through discovery of future core issues and emerging trend analysis in various areas of academic research. There needs to be a paradigm shift in toward implementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The change is to ensure objective and practical emerging trend analysis results based on large amounts of data. However, even such studies have had shortcoming related to their dependence on simple keywords for analysis, which makes it difficult to derive meaning from data. Besides, no study has been carried out so far to develop core issues and analyze emerging trends in special domains like the aviation industry. The change used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and emerging trends from overall research papers pertaining to aviation through text mining, which is one of the big data analysis techniques. In this manner, the promising future areas for the air transport industry are selected based on objective data from aviation-related research papers. In order to compensate for the difficulties in grasping the meaning of single words in emerging trend analysis at keyword levels, this study will adopt topic analysis, which is a technique used to find out general themes latent in text document sets. The analysis will lead to the extraction of topics, which represent keyword sets, thereby discovering core issues and conducting emerging trend analysis. Based on the issues, it identified aviation-related research trends and selected the promising areas for the future. Research on core issue retrieval and emerging trend analysis for the aviation industry based on big data analysis is still in its incipient stages. So, the analysis targets for this study are restricted to data from aviation-related research papers. However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and presenting directions regarding the areas with good prospects for the future. In the future, the scope is slated to expand to cover relevant domestic or international news articles and bidding information as well, thus increasing the reliability of analysis results. On the basis of the topic analysis results, core issues for the aviation industry will be determined. Then, emerging trend analysis for the issues will be implemented by year in order to identify the changes they undergo in time series. Through these procedures, this study aims to prepare a system for developing key promising areas for the future aviation industry as well as for ensuring rapid response. Additionally, the promising areas selected based on the aforementioned results and the analysis of pertinent policy research reports will be compared with the areas in which the actual government investments are made. The results from this comparative analysis are expected to make useful reference materials for future policy development and budget establishment.

• Radiation Oncology Journal
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• v.24 no.1
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• pp.58-66
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• 2006

Purpose: Renal irradiation can lead to the development of radiation nephropathy, and this is characterized by the accumulation of extracellular matrix and final fibrosis. To determine the possible role of the glomerular epithelial cell, the radiation-induced changes in the expression of its genes associated with the extracellular matrix were analyzed. Materials and Methods: Rat glomerular epithelial cells (GEpC) were irradiated with a single dose of 0, 2, 5, 10 and 20 Gy with using 6 MV LINAC (Siemens, USA), and the samples were collected 6, 24, 48 and 72 hours post-irradiation, respectively. Northern blotting, western blotting and zymography were used to measure the expression level of fibronectin (Fn), plasminogen activator inhibitor-1 (Pai-1), matrix metalloproteinases-2, 9 (MMP-2, 9), tissue inhibitor of metalloproteinase-2 (TIMP-2), tissue-type plasminogen activator (t-PA) and urokinase-type plasminogen activator (u-PA). Results: Irradiation with a single dose of 10 Gy resulted in a significant increase in Fn mRNA since 24 hours post-irradiation, and a single dose of 5 and 10 Gy significantly increased the Fn immunoreactive protein measured 48 hours post-irradiation. An increase in Pai-1 mRNA and protein was also observed and especially, a single dose of 10 Gy significantly increased the mRNA measured 24 and 48 hours post-irradiation. The active MMP-2 measured 24 hours post-irradiation slightly increased in a dose dependent manner, but this increase did not reach statistical significance. The levels of MMP-9, TIMP-2, t-PA and u-PA appeared unaltered after irradiation. Conclusion: Irradiation of the glomerular epithelial cells altered the expression of genes associated with the extracellular matrix, implying that the glomerular epithelial cell may be involved in the development of radiation nephropathy.

• Journal of Food Hygiene and Safety
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• v.29 no.4
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• pp.334-339
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• 2014

The purpose of our study was to investigate the migration level of lead (Pb), cadmium (Cd), antimony (Sb), arsenic (As), hexavalent chromium ($Cr^{6+}$) and mercury (Hg) from cookwares into food simulants and to evaluate the safety of each heavy metals. The test articles for heavy metals were glassware, ceramics, enamel, earthenware, polypropylene and polyethylene cookwares for Pb and Cd, enamel for Sb, earthenware for As, polyethylene and polypropylene cookwares for $Cr^{6+}$ and Hg. All the article samples of 391 intended for contact with foods were purchased in domestic markets. Pb, Cd, Sb and As were analyzed by Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), $Cr^{6+}$ by UV visible spectrophotometer and Hg by mercury analyzer. The migration levels of heavy metals in all the samples were within the migration limits of Ministry of Food and Drug Safety (MFDS). As a result of safety evaluation, our results showed that the estimated daily intakes (EDI, mg/kg bw/day) were $9.12{\times}10^{-6}$ and $8.83{\times}10^{-7}$ for Pb and Cd from ceramics and $1.19{\times}10^{-5}$, $1.23{\times}10^{-5}$ and $7.52{\times}10^{-6}$ for Pb, Cd and Sb from enamel. Tolerable daily intakes (TDI, mg/kg bw/day) were established respectively as 0.0036, 0.00081, 0.0021, and 0.0006 for Pb, Cd, As and Hg by JECFA (Joint FAO/WHO Expert Committee on Food Additives), as 0.0060 for Sb by WHO (World Health Organization). When comparing with TDIs, the EDIs accounted for 0.25% and 0.11% for Pb and Cd from ceramics and 0.33%, 1.52% and 0.13% for Pb, Cd and Sb from enamel.

• Journal of Food Hygiene and Safety
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• v.33 no.2
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• pp.102-109
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• 2018

In the present study, a variety of polylactide (PLA) articles (n = 211) were tested for migration of lead (Pb), cadmium (Cd) and arsenic (As) into the food simulant (4% v/v acetic acid). Pb, Cd, and As were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). Migration tests were performed at $70^{\circ}C$ and $100^{\circ}C$ for 30 min. The amounts of Pb, Cd, and As increased at $100^{\circ}C$ for 30 min compared with levels at $70^{\circ}C$. However, the migration at both conditions was very low. The maximum level of Pb at $100^{\circ}C$ for 30 min corresponded to 1% of the migration limit. The estimated daily intakes (EDI) based on safety evaluation ranged from $2.5{\times}10^{-5}$ to $2.0{\times}10^{-3}{\mu}g/kg\;bw/day$ for Pb, Cd, and As. The EDI calculated from migration of Pb at $100^{\circ}C$ for 30 min in PLA was the maximum value, $2.0{\times}10^{-3}{\mu}g/kg\;bw/day$, which corresponded to 0.055% of provisional tolerable weekly intake (PTWI, $25{\mu}g/kg\;bw/week$). The data from this study represent a valuable source for science-based safety control and management of hazardous heavy metals migrating from polylactide food contact materials.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.6
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• pp.958-964
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• 2004

This study examined the effects of maternal calcium intake levels on mineral metabolism during pregnancy and lactation. Five week-old female Sprague-Dawley rats were fed normal Ca (NCa, 0.5%) and low Ca (LCa, 0.15%) diets for 5 weeks during preconception. The low Ca intake group was divided into three groups and fed low Ca (0.15%), normal Ca (0.5%) and high Ca (1.5%) diets for 6 weeks during pregnancy and lactation. All of the rats were mated with normal male rats. The control group was consistently fed a normal Ca diet for 11 weeks. Pups were adjusted to 10 per dam. After weaning, dams and their weaned rats were sacrificed. We measured total protein, albumin, alkaline phosphatase and mineral content in serum and weight, length, breaking force, ash and mineral content in bone and kidney. There was no significant difference in weight gain and food intake among the groups. Serum total protein and albumin were in the normal range but slightly decreased with a low Ca diet during preconception. Calcium supplementation above normal level increased bone weight, Ca content and breaking force in femur of maternal and their weaned rats. However, high maternal Ca intake significantly decreased Mg and Fe contents in maternal serum and bone and Mg and Zn contents in serum of weaned rats. Also, it induced Ca, P and Mg deposit in maternal kidney. Our experimental results suggest that Ca deficiency during preconception may deteriorate bone status of mother and their offsprings. Moreover, high Ca supplementation during pregnancy and lactation may lead to disturb mineral metabolism in bone and other tissues.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.451-464
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• 2022

The high-level nuclear waste repository is a deep geological disposal system exposed to complex environmental conditions such as high temperature, radiation, and ground-water due to handling spent nuclear fuel. Continuous exposure can lead to cracking and deterioration of the structure over time. On the other hand, the high-level nuclear waste repository requires an ultra-long life expectancy. Thus long-term structural health monitoring is essential. Various sensors such as an accelerometer, earth pressure gauge, and displacement meter can be used to monitor the health of a structure, and a piezoelectric sensor is generally used. Therefore, it is necessary to develop a highly durable sensor based on the durability assessment of the piezoelectric sensor. This study designed an accelerated life test for durability assessment and life prediction of the piezoelectric sensor. Based on the literature review, the number of accelerated stress levels for a single stress factor, and the number of samples for each level were selected. The failure mode and mechanism of the piezoelectric sensor that can occur in the environmental conditions of the high-level waste repository were analyzed. In addition, two methods were proposed to investigate the maximum harsh condition for the temperature stress factor. The reliable operating limit of the piezoelectric sensor was derived, and a reasonable accelerated stress level was set for the accelerated life test. The suggested methods contain economical and practical ideas and can be widely used in designing accelerated life tests of piezoelectric sensors.