• The Korean Journal of Pesticide Science
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• v.19 no.1
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• pp.32-40
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• 2015

This study was implemented to evaluate food safety on residual pesticides in agricultural products of Korea and to use as a data base for the establishment of food policy. A total of 196 pesticide upon these products were analyzed using multi class pesticide multiresidue methods of Korean Food Code, and 232 samples of 15 agricultural products collected from 9 regions were supplied for this study. In the results, 64 kinds of pesticides were detected in 53 samples, chlorpyrifos and procymidone of them were shown a high frequency of detection in the analyzed pesticides. Among them, two samples (chlorpyrifos in perilla leaves and picoxystrobin in peach) were detected over Maximum Residue Limits (MRLs). The levels of the detected pesticide residues were within safe levels. Also, the intake assessment for pesticide residues including chlorpyrifos at multi pesticide residue monitoring were carried out. The result showed that the ratio of EDI (estimated daily intake) to ADI (acceptable daily intake) was 0.001~0.902% which means that the detected pesticide residues were in a safe range so that residual pesticides in the agricultural products in Korea are properly controlled.

• Journal of Animal Environmental Science
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• v.7 no.1
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• pp.1-12
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• 2001

This study was conducted to develope an automatic liquid feeder for early weaning piglets and to test the efficacy of the system. The liquid feeder consists of water heating and discharge unit, dry diet storing and discharge unit, mixing and discharge unit, mixed liquid feed-delivering unit, and the central control part which control each unit, feeding frequency and the amount of feeding. For investigating the possibility of practical use, a feeding trial was carried out using eighteen three way crossbred piglets weaned on 19 days of age for the experimental period of six weeks. Experimental diet was provided in liquid form using the automatic liquid feeder for the first three weeks and in dry form for the later three weeks. The water heating and discharge unit exactly supplied warm water by 27 $m\ell$/s, into the mixing unit. The dry diet storing and discharge unit supplied dry feed by 3.7g/s, into the mixing unit. Being compared with the standard growth rate suggested by NRC, average daily gain of the piglets during the first three weeks of liquid feeding was lower by 10%, while it was higher during three weeks of dry feeding and over the whole experimental period by 24 and 17%, respectively. Feed/gain was 1.09, 2.14 and 1.89 for the first 3 weeks, later 3 weeks, and whole period, respectively. Diarrhea was observed for three days from day 3 to day 7 after feeding liquid diet, but no pig died of it. In conclusion, a preliminary test for the newly developed an automatic liquid feeder using 19 days of age weaning piglets showed that the unit was successfully operated without any major problems. Piglets raised on a liquid diet through the unit developed grew less during the first three weeks, but their growth and feed intake were greatly improved thereafter, indicating the developed automatic liquid feeder may be practically used in swine industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5159-5168
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• 2014

The study examined the relationship among metal health, metabolic syndrome and nutrient acceptance according to gender. Implemented until 2010-2012, the 5th Korean National Health and Nutrition Examination Survey, as an original document, was used for the study. The target was problem drinkers with more than 12 points under AUDIT. Regarding mental health, it was classified into stress, depression and suicidal impulse. Metabolic syndrome was defined when three causes of BMI, waist circumference, FBS, HDL and BP were out of the normal range. The nutrient intake was obtained to confirm the energy intake of nine non-nutrients (Nutrient adequacy ratio: NAR) and the proper intake of the average non-nutrient (Mean adequacy ratio: MAR). These variables were analyzed by frequency, cross analysis and multiple regression analysis through SPSS18.0. In the general features, there was a significant difference according to age, occupation and marital status. In mental health, stress, depression and suicidal impulse were examined. Metabolic syndrome was dependant on FBS, HDL and BP. The nutrient acceptance depended on calcium, vitamin A, thiamine, riboflavin, niacin, vitamin C, and MAR. Logistic regression analysis performed on the variables showed significant differences. Stress, depression, and thoughts of suicide was significantly higher in men aged 19-29 years, and women aged 30-49 years. In the case of the male, those who employed have metabolic syndrome more than those who unemployed. In terms of female, those who were belonged into the middle - low economic level have undergone with metabolic syndrome. In the part of a Mean adequacy ratio(MAR), the male who unmarried, employed, were in the middle low economic levelwere higher. In the case of the female, it was higher for those who were in the middle - low economic level. Overall, an effective way of planning the solution regarding mental health, metabolic syndrome and nutrient intake can be found by considering these features.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1107-1118
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• 2021

Climate change brought on by global warming increased the frequency of flood and drought on the Korean Peninsula, along with the casualties and physical damage resulting therefrom. Preparation and response to these water disasters requires national-level planning for water resource management. In addition, watershed-level management of water resources requires flow duration curves (FDC) derived from continuous data based on long-term observations. Traditionally, in water resource studies, physical rainfall-runoff models are widely used to generate duration curves. However, a number of recent studies explored the use of data-based deep learning techniques for runoff prediction. Physical models produce hydraulically and hydrologically reliable results. However, these models require a high level of understanding and may also take longer to operate. On the other hand, data-based deep-learning techniques offer the benefit if less input data requirement and shorter operation time. However, the relationship between input and output data is processed in a black box, making it impossible to consider hydraulic and hydrological characteristics. This study chose one from each category. For the physical model, this study calculated long-term data without missing data using parameter calibration of the Soil Water Assessment Tool (SWAT), a physical model tested for its applicability in Korea and other countries. The data was used as training data for the Long Short-Term Memory (LSTM) data-based deep learning technique. An anlysis of the time-series data fond that, during the calibration period (2017-18), the Nash-Sutcliffe Efficiency (NSE) and the determinanation coefficient for fit comparison were high at 0.04 and 0.03, respectively, indicating that the SWAT results are superior to the LSTM results. In addition, the annual time-series data from the models were sorted in the descending order, and the resulting flow duration curves were compared with the duration curves based on the observed flow, and the NSE for the SWAT and the LSTM models were 0.95 and 0.91, respectively, and the determination coefficients were 0.96 and 0.92, respectively. The findings indicate that both models yield good performance. Even though the LSTM requires improved simulation accuracy in the low flow sections, the LSTM appears to be widely applicable to calculating flow duration curves for large basins that require longer time for model development and operation due to vast data input, and non-measured basins with insufficient input data.

• Korean Association of Arts Management
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• no.49
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• pp.5-35
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• 2019

The main purpose of this study was to use semantic network analysis to examine the international trend of arts management and other studies pertinent to this field. The subject was based on 357 keywords listed on the abstract of 185 research papers in the International Journal of Arts Management. To examine the most current trends of arts management based studies the time frame was restricted from 2008 to 2017. To briefly summarize the result, first, 'museum' was the most frequently appeared keyword. This was followed by 'performing arts' and 'arts' with more than 20 appearances. 'Motion picture industry' and 'theater' were the next frequently appeared keywords. 'Customer behavior' and 'market strategy', keywords related to management, were also included in the high ranked group along with art related keywords. Second, yearly research trend shows that arts management has been regularly studied for past ten years with average of 19 research papers with about 53 keywords. Keywords such as 'museum' and 'performing arts' has been regularly studied for past ten years. 'Culture', 'theater' and 'motion pictures industry' does not regularly appear in the result of yearly research trend but nevertheless they have sparsely made an appearance along the past decade. 'Art gallery' has not been cited till 2011 but from 2012 it was regularly and continuously made an appearance in the yearly research trend. Overall, the yearly trend result shows that the trend of international arts management studies within IJAM, was at first centered on fine arts but as the time passed there has been diversified keywords related to management. Third, 'performing art' and 'art' has the highest link frequency(34). Fourth, density result was 0.039 which shows that the keyword density is not very high. Fifth, 'art', 'performing art', 'museum', 'theater' and 'brand' were positioned in the middle when looking at the visualized version of centrality result. This means that these five keywords has the highest centrality among other keywords.

• Journal of Nutrition and Health
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• v.45 no.6
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• pp.541-551
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• 2012

In our previous work, we reported consumers' perceptions of body shape and weight control. In an ongoing effort, we analyzed the purchasing behavior, intake patterns, future purchasing decisions, and degree of satisfaction in individuals consuming dietary formula for weight control (DF) or heath/functional foods (HFFs) by using the same survey questions. Portfolio analysis for marketing strategy was also investigated. Subjects were divided into two groups according to consumption of DF or HFF during the previous year : DF group (n = 89) and HFF group (n = 110). Average intake frequency was $1.7{\pm}0.7$ per day for HFFs and $1.5{\pm}0.9$ per day for the DF, and the most prevalent form was pill (58.2%) for HFFs and bar (42.7%) for DF. Duration of intake was $3.1{\pm}2.3$ months for HFFs versus $3.9{\pm}3.5$ months for DF. The average degree of satisfaction was $3.6{\pm}0.6$ on a 5-point scale, meaning 'relatively satisfied'. For the weight control method to be used in the future, 44.5% of the HFF group selected 'HFFs' while 47.2% of the DF group selected 'DF', showing a tendency to use the current product type in the future. The average planned period for the intake was $3.8{\pm}3.7$ months for HFFs and $3.0{\pm}2.4$ months for DF (p < 0.05). The HFF group emphasized efficacy, functional ingredients of the products, reliable products, and higher satisfaction, whereas the DF group emphasized the added materials in addition to weight control effects.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.249-256
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• 2011

Finding a new set of features representing textured images is one of the most important studies in textured image analysis. This is because it is impossible to construct a perfect set of features representing every textured image, and it is inevitable to choose some relevant features which are efficient to on-going image processing jobs. This paper intends to find relevant features which are efficient to textured image segmentation. In this regards, this paper presents a different method for the segmentation of textured images based on the Gabor filter. Gabor filter is known to be a very efficient and effective tool which represents human visual system for texture analysis. Filtering a real-valued input image by the Gabor filter results in complex-valued output data defined in the spatial frequency domain. This complex value, as usual, gives the module and the phase. This paper focused its attention on the phase information, rather than the module information. In fact, the module information is considered very useful at region analysis in texture, while the phase information was considered almost of no use. But this paper shows that the phase information can also be fully useful and effective at region analysis in texture, once a good method introduced. We now propose "phase derivated method", which is an efficient and effective way to compute the useful phase information directly from the filtered value. This new method reduces effectively computing burden and widen applicable textured images.

• Clinical and Experimental Pediatrics
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• v.53 no.4
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• pp.565-570
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• 2010

Purpose : To verify the efficacy and safety of lamotrigine (LTG) monotherapy in newly diagnosed children with epilepsy. Methods : We prospectively enrolled 148 children who had undergone LTG monotherapy at our institution between September 2002 and June 2009. Twenty-nine patients were excluded: 19 due to incomplete data and 10 were lost to follow up. The data of the remaining 119 patients was analyzed. Results : We enrolled 119 pediatric epilepsy patients (aged 2.8-19.3 years; 66 males and 53 females) in this study. Out of 119 patients, 29 (25.2%) had generalized epilepsy and 90 (74.8%) had partial epilepsy. The responses of seizure reduction were as follows: Seizure freedom (no seizure attack for at least 6 months) in 87/111 (78.4%, n=111) patients; partial response (reduced seizure frequency compared to baseline) in 13 (11.7%) patients; and persistent seizure in 11 (9.9%) patients. The seizure freedom rate was in 81.6% in patients with partial seizure (75.9% for complex partial seizure and 90.9% for benign rolandic epilepsy) and 44.8% in patients with generalized epilepsy (30.0% for absence seizure, 35.7% for juvenile myoclonic epilepsy patients, and 100.0% for idiopathic generalized epilepsy patients). Adverse reactions were reported in 17 (14.3%) patients, and 8 patients (6.7%) discontinued LTG because of rash and tic. No patient experienced severe adverse reaction such as Stevens-Johnson syndrome. Conclusion : LTG showed excellent therapeutic response and had few significant adverse effects. Our findings report may contribute in promoting the use of LTG monotherapy in epileptic children.

• Journal of Korean Home Economics Education Association
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• v.21 no.3
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• pp.29-43
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• 2009

The purposes of this study were to examine effective variables influencing on adolescents' mobile phone addiction. The subjects were the 666 middle or high school students who had their own mobile phone in Gwangju. Data were analyzed with frequency, percentage, cronbach's ${\alpha}$, mean, SD, pearson's correlation and multiple regression using SPSS/PC WIN 14.0 program. The major findings were as follows: 1. The most frequently used function of student mobile phones was text message and they used text message more than 41 times a day. Mostly they were talking to the same sex friends on the phone and the monthly charges ranged from 20,000 to 30,000 won. In general, they called to their friends after school. Their parents' attitudes toward their mobile phone using showed that the most of their parents did not care about their children's mobile phone use. The restriction of using their mobile phone at school was normal. 2. The average scores of mobile phone addiction were lower than median(3.0) and self esteem, self control, family strengths, peer conformity and school life adaptation were higher than median. 3. The adolescence's mobile phone additions were influenced by peer conformity, school life adaptation, school levels, sex and self control. And these variables explained to the adolescence's mobile phone additions about 28%.

• Land and Housing Review
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• v.13 no.4
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• pp.55-71
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• 2022

Recently, the domestic department store industry is growing into a complex shopping cultural space, which is advanced and differentiated by changes in consumption patterns. In addition, competition is intensifying across 70 places operated by five large companies. This study investigates the determinants of the visits to department stores using the big data concept's automatic vehicle access system (pos) and proposes how to strengthen the competitiveness of the department store industry. We use a negative binomial regression test to predict the frequency of visits to 67 branches, except for three branches whose annual sales were incomplete due to the new opening in 2021. The results show that the demand for visiting department stores is positively associated with airport, terminal, and train stations, land areas, parking lots, VIP lounge numbers, luxury store ratio, F&B store numbers, non-commercial areas, and hotels. We suggest four strategies to enhance the competitiveness of domestic department stores. First, department store consumers have a high preference for luxury brands. Therefore, department stores need to form their own overseas buyer teams to discover and attract new luxury brands and attract customers who have a high demand for luxury brands. In addition, to attract consumers with high purchasing power and loyalty, it is necessary to provide more differentiated products and services for VIP customers than before. Second, it is desirable to focus on transportation hub areas such as train stations, airports, and terminals in Gyeonggi and Incheon. Third, department stores should attract tenants who can satisfy customers, given that key tenants are an important component of advanced shopping centers for department stores. Finally, the department store, a top-end shopping center, should be developed as a space with differentiated shopping, culture, dining out, and leisure services, such as "The Hyundai", which opened in 2021, to ensure future growth potential.