• Journal of Nutrition and Health
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• v.56 no.5
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• pp.510-522
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• 2023

Purpose: In this study, data from the 7th Korea National Health and Nutrition Examination Survey (2016-2018) were used to examine the relationship between the prevalence of anemia and dietary intake among adults according to household types. Methods: Using data from a total of 10,646 subjects (4,428 men and 6,218 women), the general information, body measurements, results of biochemical examination, food and nutrient intake, and meal quality evaluation were analyzed according to the type of household. Results: The prevalence of anemia was higher in men belonging to single-person households (SPH) than in those from multi-person households (MPH), while anemia prevalence was higher among the women in the MPH than in the SPH. The men in SPH had a lower total food intake of nuts, vegetables, fruits, fish, and seaweed than the men in MPH, and consumed higher quantities of milk, oil, and processed foods. The women from SPH had a lower intake of seaweed and a higher intake of milk than those belonging to the MPH. In addition, the men in SPH had a lower iron intake and iron intake per 1,000kcal than the men in MPH, lower iron intake through plant-based foods, and a lower iron intake ratio compared to the reference nutrient intake. The total Korean Healthy Eating Index (KHEI) score was lower in both men and women in SPH than in those from the MPH. When analyzing the relationship between household type and anemia risk after correcting for the confusion variable, the risk of anemia in men in SPH increased compared to those belonging to the MPH. However, women showed no such significant correlation. There was no relationship between the total KHEI score and the risk of anemia by gender and household type. Conclusion: In conclusion, since anemia in men belonging to SPH is a matter of concern, it is essential to develop guidelines for anemia-related nutrition education for men living alone.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.127-146
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• 2017

Services using artificial intelligence have begun to emerge in daily life. Artificial intelligence is applied to products in consumer electronics and communications such as artificial intelligence refrigerators and speakers. In the financial sector, using Kensho's artificial intelligence technology, the process of the stock trading system in Goldman Sachs was improved. For example, two stock traders could handle the work of 600 stock traders and the analytical work for 15 people for 4weeks could be processed in 5 minutes. Especially, big data analysis through machine learning among artificial intelligence fields is actively applied throughout the financial industry. The stock market analysis and investment modeling through machine learning theory are also actively studied. The limits of linearity problem existing in financial time series studies are overcome by using machine learning theory such as artificial intelligence prediction model. The study of quantitative financial data based on the past stock market-related numerical data is widely performed using artificial intelligence to forecast future movements of stock price or indices. Various other studies have been conducted to predict the future direction of the market or the stock price of companies by learning based on a large amount of text data such as various news and comments related to the stock market. Investing on commodity asset, one of alternative assets, is usually used for enhancing the stability and safety of traditional stock and bond asset portfolio. There are relatively few researches on the investment model about commodity asset than mainstream assets like equity and bond. Recently machine learning techniques are widely applied on financial world, especially on stock and bond investment model and it makes better trading model on this field and makes the change on the whole financial area. In this study we made investment model using Support Vector Machine among the machine learning models. There are some researches on commodity asset focusing on the price prediction of the specific commodity but it is hard to find the researches about investment model of commodity as asset allocation using machine learning model. We propose a method of forecasting four major commodity indices, portfolio made of commodity futures, and individual commodity futures, using SVM model. The four major commodity indices are Goldman Sachs Commodity Index(GSCI), Dow Jones UBS Commodity Index(DJUI), Thomson Reuters/Core Commodity CRB Index(TRCI), and Rogers International Commodity Index(RI). We selected each two individual futures among three sectors as energy, agriculture, and metals that are actively traded on CME market and have enough liquidity. They are Crude Oil, Natural Gas, Corn, Wheat, Gold and Silver Futures. We made the equally weighted portfolio with six commodity futures for comparing with other commodity indices. We set the 19 macroeconomic indicators including stock market indices, exports & imports trade data, labor market data, and composite leading indicators as the input data of the model because commodity asset is very closely related with the macroeconomic activities. They are 14 US economic indicators, two Chinese economic indicators and two Korean economic indicators. Data period is from January 1990 to May 2017. We set the former 195 monthly data as training data and the latter 125 monthly data as test data. In this study, we verified that the performance of the equally weighted commodity futures portfolio rebalanced by the SVM model is better than that of other commodity indices. The prediction accuracy of the model for the commodity indices does not exceed 50% regardless of the SVM kernel function. On the other hand, the prediction accuracy of equally weighted commodity futures portfolio is 53%. The prediction accuracy of the individual commodity futures model is better than that of commodity indices model especially in agriculture and metal sectors. The individual commodity futures portfolio excluding the energy sector has outperformed the three sectors covered by individual commodity futures portfolio. In order to verify the validity of the model, it is judged that the analysis results should be similar despite variations in data period. So we also examined the odd numbered year data as training data and the even numbered year data as test data and we confirmed that the analysis results are similar. As a result, when we allocate commodity assets to traditional portfolio composed of stock, bond, and cash, we can get more effective investment performance not by investing commodity indices but by investing commodity futures. Especially we can get better performance by rebalanced commodity futures portfolio designed by SVM model.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.21 no.1
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• pp.11-23
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• 2016

An ecological study on subtidal macrobenthic fauna was conducted off the Namhaedo Island, south coast of Korea from July 2012 to April 2013. A total of 247 species of macrobenthos occurred with a mean density of $1,027ind./m^2$ and a mean biomass of $148.7g/m^2$. Polychaetes was the richest and most abundant faunal group that comprised 37% in both total species number and density whereas echinoderms were biomass-dominant faunal group that accounted for 44% of the mean biomass. There was a seasonal variation in the species richness and abundance of macrobenthos with more species in winter and higher density in spring. Mean faunal density was relatively high at the stations near Namhaedo Island, but gradually decreased toward offshore stations. The most dominant species in terms of density was an amphipod species, Eriopisella sechellensis which occurred as a top ranker during three seasons except spring recorded the fourth rank. E. sechellensis showed its high density at the near shore stations of Namhaedo Island, but this species did not occur around the entrance of Gwangyang and Saryang Bays where Theora fragilis and Lumbrineris longifolia showed high densities. In particular, Tharyx sp., recorded high density between Gwangyang Bay entrance and offshore after Sea Prince oil spill, did not occur in the same area during this study period. The bottom temperature and sorting value of the surface sediments were highly correlated to the spatial distribution of macrobenthic fauna from the Bio-Env analysis. From the cluster analysis, the study area has five station groups with more similar faunal affinities from inner area toward offshore area. Based on the SIMPER analysis T. fragilis, Magelona japonica, E. sechellensis, L. longifolia and Paraprionospio cordifolia were mainly contributed to the classification of station groups. From the BPI, benthic communities in the entrance of Gwangyang Bay and Saryang Bay were considered to be in a slightly polluted condition in contrast to the normal healthy community at the offshore of Namhaedo Island. These results suggested that the benthic community of this area should be regularly monitored to assess the health status of this benthic ecosystem.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.5
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• pp.651-663
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• 2016

Corn silk, Job's tears, Lentinus edodes, and apple peel 70% ethanol extracts (CS, JT, LE, and AP) were studied for their antioxidant activities. CS among all extracts showed the highest antioxidant activities based on total polyphenol and flavonoid contents, 2,2-diphenyl-${\beta}$-picrylhydrazyl and 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonate) radical scavenging activity, and reducing power. Adipocyte differentiation was investigated by Oil Red O staining assay using CS, JT, LE, AP, and extract of developed bread containing corn silk, Job's tears, Lentinus edodes, and apple peel (DB) treated to 3T3-L1 adipocytes. DB1 and DB2 showed anti-adipogenic and antioxidant effects. Triglyceride (TG) accumulation in 3T3-L1 cells was measured, and among the samples tested (CS, JT, LE, and AP), CS was found to have the highest inhibitory activity against TG accumulation of differentiated 3T3-L1 adipocytes and regulated factors associated with adipogenesis. CS suppressed lipid droplet formation and adipocyte differentiation in 3T3-L1 cells in a dose-dependent manner. We examined the effects of CS on the levels of CCAAT-enhancer-binding protein ${\beta}(C/EBP{\beta})$, peroxisome proliferator activated receptor ${\gamma}(PPAR{\gamma})$, and adipocyte-specific lipid binding protein (aP2) mRNA as well as protein levels in 3T3-L1 cells treated with CS at various concentrations (0, 10, 50, and $100{\mu}g/mL$) during adipocyte differentiation and treatment with CS in 3T3-L1 adipocytes down-regulated expression of $PPAR{\gamma}$ and aP2 mRNA. CS also significantly inhibited up-regulation of $C/EBP{\beta}$, $PPAR{\gamma}$, and aP2 proteins during adipocyte differentiation. These data indicate that DBs have anti-adipogenic activity induced by CS in 3T3-L1 preadipocytes, and CS exerts anti-adipogenic activity by inhibiting expression of $C/EBP{\beta}$, $PPAR{\gamma}$, and aP2 signaling pathway in 3T3-L1 adipocytes. JT, LE, and AP had no inhibitory effects on differentiation of 3T3-L1 preadipocytes but displayed strong antioxidant effects. These results suggest that the developed bread may be a health beneficial food that can prevent or treat obesity and diseases induced by oxidative stress.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.11
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• pp.1472-1481
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• 2007

The purposes of the study were to find refined taste of ancestor through historical research about traditional cooking method and ingredient for the purpose of enriching today#s dietary life and to hand down a particular style of regional dish and excellence of nutritional aspect by providing a standard recipe and nutrition analysis data on #Dong-rae Pajeon#. To collect data about traditional ingredients and cooking method, researcher interviewed seven local natives who have kept a traditional food costumes, visited four restaurants, and reviewed ten cookbooks. The interviewees recalled and demonstrated the cooking procedure. The standard recipe of #Dong-rae Pajeon# was created after three experimental cookings, based on the recipes of the natives, restaurants, and cookbooks. According to the natives# statements, #Dong-rae Pajeon# was a special dish that was offered to the king at #Samzi-nal# (March 3rd of the lunar calendar). It was also a seasonal (before cherry blooming time) and memorial service dish of the province#s high society. The main ingredients were small green onion, dropwort, beef, seafood (large clam, mussel, clam meat, oyster, shrimp, fresh water conch), waxy rice powder, non-wax rice powder, and sesame oil which were abundant in Busan and Kijang region. Energy per 100 g of #Dong-rae Pajeon# was 148 kcal. Protein, lipid, fiber, Ca, and Fe contents were 8.8 g, 2.0 g, 8.6 g, 57.7 mg, and 1.8 mg respectively. Contents of cystine, lysine, leucine, valine, isoleucine which are essential amino acids were high in #Dong-rae Pajeon#. Fatty acids contents are oleic acid (20.5%), linoleic acid (20.1%) and linolenic acid (10.4%) while P/M/S ratio was 0.73/0.67/1.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.11
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• pp.1688-1694
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• 2014

Jeju Hallabong Tangor (Citrus kiyomi${\times}$ponkan) is a Citrus species with a variety of physiological properties such as anti-oxidant, anti-inflammation, anti-cancer, and anti-obesity. We investigated the anti-obesity effects of Hallabong Tangor peel extracts before (HLB) and after (HLB-C) bioconversion with cytolase based on modulation of adipocyte differentiation and lipid metabolism in 3T3-L1 adipocytes. Treatment with cytolase decreased flavanone rutinoside forms (narirutin and hesperidin) and increased flavanone aglycone forms (naringenin and hesperetin). During adipocyte differentiation, 3T3-L1 cells were treated with 0.5 mg/mL of Sinetrol (a positive control), HLB or HLB-C. Adipocyte differentiation was inhibited in both citrus groups, but not in control and Sinetriol groups. HLB and HLB-C tended to reduce insulin-induced mRNA levels of CCAAT/enhancer-binding protein ${\alpha}$ ($C/EBP{\alpha}$) and sterol regulatory element-binding protein 1c (SREBP1c). Compared to the control and Sinetrol groups, HLB and HLB-C markedly suppressed insulin-induced protein expression of $C/EBP{\alpha}$ and peroxisome proliferator-activated receptor gamma ($PPAR{\gamma}$). The HLB and Sinetrol groups, but not HLB-C group, significantly increased adipolytic activity with higher release of free glycerol compared to the control group in differentiated 3T3-L1 adipocytes. These results suggest that bio-conversion of Hallabong Tangor peel extracts with cytolase increases aglycone flavonoids. Irrespective of bioconversion, both Hallabong Tangor peel extracts exert anti-obesity effects that may contribute to prevention of obesity through inhibition of adipocyte differentiation or induction of adipolytic activity.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.12
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• pp.1981-1987
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• 2013

In order to use the excellent features of saponin and phenolic compounds in the leaf and fruit of ginseng, ginseng fruit Yakgwa (GFY), ginseng leaf Yakgwa (GLY) and ginseng root Yakgwa (GRY) were made via adding the fruit, leaf and root powder in the process of making Yakgwa, and the properties were investigated. When making Yakgwa, GFY and GLY had superior expansion compared to GRY. 2.5-GFY (added 2.5% ginseng fruit powder) and 2.5-GLY (added 2.5% ginseng leaf powder) increased about 1.68 times and had better expansion than the control; however, when more amount of fruit and leaf were added, the expansion was decreased. The GFY and GLY showed green and red color, and the brightness and yellowness were decreased. Oil absorption during making Yakgwa showed to increase as the amount of fruit and leaf powder were increased regardless of the ginseng parts. Hardness of Yakgwa increased as the root additives were increased, and it decreased when leaf and fruit were added. The results of sensory evaluation on ginseng-based Yakgwa showed that oily taste was lowered as the amount of fruit and leaf additives were increased, which had increased the preference. On the overall preference of Yakgwa, 5.0-GFY, 2.5-GLY and 7.5-GRY was high, which contained 2.30 mg/g, 1.02 mg/g, and 0.91 mg/g of saponin, respectively.

• Horticultural Science & Technology
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• v.29 no.5
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• pp.447-455
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• 2011

To investigate the effects of the improvement of postharvest quality on fresh tomato, antimicrobial microperforated (AMP) films were prepared and their antimicrobial abilities were observed. AMP films were made by coating different types of natural antimicrobial agents such as cinnamon, clove, and clary sage essential oils into microperforated (MP) films. Cinnamon essential oil of 10% (v/v) has proven to be very effective as inhibitor of the mold growth on tomato, compared to the clove and clary sage essential oils. Quality changes of fresh tomatoes packed using the natural AMP films (AMP10 and AMP30) and MP films (MP10 and MP30) during storage were evaluated. Total microbial growth, weight loss, firmness, lycopene content, and decay rate as the major quality parameters were monitored over 9 days at $15^{\circ}C$. The oxygen transmission rates and mechanical properties between the natural AMP and MP films were also compared. There was no significant difference in change of oxygen transmission rate, tensile strength and elongation between the AMP and MP films. For storage studies, the freshness of tomato packaged in AMP30 film was higher than that in OPP film (the control), MP10, MP30, and AMP10 films. Especially, AMP30 film exhibited high efficiency compared to the control for tomato decay during storage periods. Based on the results, the microperforation and antimicrobial properties of the packaged films may significantly affect the maintenance of an optimum gas composition within the package atmosphere for increasing the storage life and quality of produce. They were also effective on the inhibition of microbial growth by controlled release of antimicrobial agent at an appropriate rate from the package into the tomato. Natural antimicrobial agent coating microperforated films could use potential functional package as a method of extending the freshness of postharvest tomato for storage.

• The Journal of Engineering Geology
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• v.15 no.2 s.42
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• pp.213-227
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• 2005

This study aims to assess the problems with investigation method and to suggest the complementary solutions by comparing the predicted data from surface investigation with the outcome data from underground cavern. In the study area, one(NE-1) of 6 fracture zones predicted during the surface investigation was only confirmed in underground caverns. Therefore, it is necessary to improve the confidence level for prediction. In this study, the fracture classification criteria was quantitatively suggested on the basis of the BHTV images of NE-1 fracture zone. The major orientation of background fractures in rock mass was changed at the depth of the storage cavern, the length and intensity were decreased. These characteristics result in the deviation of predieted predicted fracture properties and generate the investigation bias depending on the bore hole directions and investigated scales. The evaluation of hydraulic connectivity in the surface investigation stage needs to be analyze by the groundwater pressures and hydrochemical properties from the monitoring bore hole(s) equipped with a double completion or multi-packer system during the test bore hole is pumping or injecting. The hydraulic conductivities in geometric mean measured in the underground caverns are 2-3 times lower than those from the surface and furthermore the horizontal hydraulic conductivity in geometric mean is six times lower than the vertical one. To improve confidence level of the hydraulic conductivity, the orientation of test hole should be considered during the analysis of the hydraulic conductivity and the methodology of hydro-testing and interpretation should be based on the characteristics of rock mass and investigation purposes.

• Journal of the Korean Society for Marine Environment & Energy
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• v.19 no.4
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• pp.332-340
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• 2016

Sunken ships cause damage to the environment due to the dispersal of fuel oil and harmful cargo goods in the hull. Since the sunken ship is mostly flooded by the seabed, it tends to be in a relatively stable condition. However, the heavy body, together with the load of remaining goods in the cargo hold, the constant contact with the seabed, and ocean currents and tidal waves, can affect dispersal of residual fuel oils out of the sunken ship. Corrosion of the sunken ship starts upon sinking, decreasing the thickness of the hull structure and sub-materials. Therefore, it is necessary to assess the structural stability against the potential breakdown of the sunken ship. Whilst evaluating the danger of the sunken ship, this result should be reflected in 'the possible discharge'. This study was undertaken to suggest a procedure for a step by step evaluation to assess the structural stability a sunken ship. The structural stability assessment to estimate the collapsibility of the hull was structure targeted at the sunken ship 'No. 7 HaeSung', which was classified as the prime example for the intensive management of sunken ships. This study was undertaken to suggest a procedure for a step by step evaluation to assess the structural stability a sunken ship and to propose a method to conduct a structural safety assessment that estimates the collapsibility of the hull by targeting the sunken ship 'No. 7 HaeSung',which was classified as the prime example for the intensive management of sunken ships. The collapsibility of the hull structure was estimated Based on the damage size of the hull structure, and the corrosion rate of the hull structure and sub-materials due to the seawater after sinking. It was confirmed that there was a low possibility of the total destruction of the hull structure at the current time. However, there is a high possibility in the potential failure of the hull structure due to increased rate of corrosion thereafter. Therefore, we believe continuous study on influence of corrosion and marine environment change to sunken ship's structural safety is necessary.