• Korean Journal of Environmental Agriculture
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• v.24 no.4
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• pp.341-349
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• 2005

Soil adsorption study was carried out to define the mobility of pesticides and to evaluate leaching potential in soils. Nine pesticides including metolcarb, molinate, fenobucarb, isazofos, diazinon, fenitrothion, dimepiperate, parathion and chlorpyrifos-methyl were subjected to adsorption experiment for four types of soils, such as upland, paddy, forest and volcanic ash soil. Based on Koc values, metolcarb and molinate were classified as mobile, fenobucarb as mobile or moderately mobile isazofos as moderately mobile, diazinon, fenitrothin, dimepiperate, and parathion as slightly or moderately mobile and chlorpyrifos-methyl as slightly mobile. Two evaluation methods, Groundwater Ubiquity Score (GUS) index and standard indices of soil-chemical adsorption and biodegradation (half-life), were used for the estimation of pesticide leaching potential. Leachabilities of metolcarb, molinate and fenobucarb were evaluated as high, and isazofos, dimepiperate and diazinon as a little potential, while fenitrothion, parthion and chlorpyrifos-methyl showed very low leaching potential. The leaching potential of pesticides was determined on the basis of intrinsic properties of the pesticides and the soil properties. Among the soil properties, organic matter gave a great influence on the leachability in soil. Therefore, leachabilities of the pesticides used were expected less in Sineom soil with relatively higher organic matter than Gangseo, Jungdong and Yesan soil with lower organic matter.

• The Journal of Engineering Geology
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• v.21 no.4
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• pp.361-367
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• 2011

The uniaxial compressive strength (UCS) is an important factor in the design and construction of surface and underground structures. However, the method employed to measure UCS is time consuming and expensive to apply in the field. Therefore, we developed a model to estimate UCS based on a few properties using linear regression analysis, which is a statistical method. To develop the model, valid factors from the test results were selected from a correlation analysis using a statistical program, and the model was formulated by linear regression based on the relationships among factors. UCS estimates derived from the model were compared with the results of UCS tests, to assess the reliability of the model. The relationship between rock properties and UCS indicates that the factors with the greatest influence on UCS are point load strength and shape facto r. The UCS values obtained using the model are in good agreement with the results of the UCS test. Therefore, the developed model may be used to estimate the UCS of rocks in regions with similar conditions to those of the present study area.

• Journal of Animal Science and Technology
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• v.53 no.1
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• pp.1-6
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• 2011

This simulation study was performed to investigate the accuracy of the estimated breeding value by using genomic information (GEBV) by way of Bayesian framework. Genomic information by way of single nucleotide polymorphism (SNP) from a chromosome with length of 100cM were simulated with different marker distance (0.1cM, 0.5cM), heritabilities (0.1, 0.5) and half sibs families (20 heads, 4 heads). For generating the simulated population in which animals were inferred to genomic polymorphism, we assumed that the number of quantitative trait loci (QTL) were equal with the number of no effect markers. The positions of markers and QTLs were located with even and scatter distances, respectively. The accuracies of estimated breeding values by way of indicating correlations between true and estimated breeding values were compared on several cases of marker distances, heritabilities and family sizes. The accuracies of breeding values on animals only having genomic information were 0.87 and 0.81 in marker distances of 0.1cM and 0.5cM, respectively. These accuracies were shown to be influenced by heritabilities (0.87 at $h^2$ =0.10, 0.94 at $h^2$ =0.50). According to half sibs' family size, these accuracies were 0.87 and 0.84 in family size of 20 and 4, respectively. As half sibs family size is high, accuracy of breeding appeared high. Based on the results of this study it is concluded that the amount of marker information, heritability and family size would influence the accuracy of the estimated breeding values in genomic selection methodology for animal breeding.

• The Korean Journal of Nuclear Medicine Technology
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• v.14 no.2
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• pp.100-103
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• 2010

Purpose: $^{18}F$-FDG wholebody PET is to evaluate the tumor using glucose metabolism. The blood glucose level is important factor that affects on a result of examination. High glucose levels may interfere with tumor targeting due to competitive inhibition of FDG uptake by D-glucose. The blood glucose level measurement test strips used in the blood glucose measurement are classified into the capillary blood measurement test strips and general purpose measurement test strips that can measure the venous blood and capillary blood altogether depends on cases. The purpose of the study was to compare the blood glucose measurements between simultaneously obtained capillary and venous blood samples using the capillary blood measurement test strips, general purpose measurement test strips. Materials and Methods: A total of 46 subjects (32 males, 14 females) with a mean age of $57.3{\pm}12.3$ years were enrolled. The blood glucose estimation was performed with a Optium Xceed Glucometer (Abbott). Simultaneous capillary and venous blood samples were obtained from each subject. The blood glucose levels were measured using the capillary blood measurement test strips and general purpose measurement test strips. The capillary and venous measurements were compared using a pared t-test. Results: The mean capillary and venous glucose values using the general purpose measurement test strips were $95.2{\pm}12.4$ mg/dL and $104.1{\pm}14.4$ mg/dL, giving a statistically significant difference (p<0.001) between the mean values for the capillary and venous glucose samples (9.0 mg/dL; 95% confidence interval (CI) -11.2 to -6.7). The mean capillary and venous glucose values using the capillary blood measurement test strips were $91.5{\pm}13.6$ mg/dL and $108.6{\pm}16.2$ mg/dL, giving a statistically significant difference (p<0.001) between the mean values for the capillary and venous glucose samples (16.6 mg/dL; 95% CI -20.2 to -13.0). Conclusion: When measuring the blood glucose level before $^{18}F$-FDG PET examination, since the incorrect blood glucose level can be measured, it should note to measure the blood glucose level of the venous blood by the capillary blood measurement test strips. Therefore the measurement variation can be reduced to fulfill the standardized measurement procedure with the suitable measurement test strips, the preparation of the PET examination will be able to be clearly confirmed. In addition, the standardized procedure of the following measurement on the area which is same at all times the blood area in the blood glucose measurement among a capillary or a vein will be needed.

• Journal of Animal Science and Technology
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• v.55 no.1
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• pp.7-11
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• 2013

The purpose of this study was to estimate (co) variance components of three milk production traits for genetic evaluation using a multiple lactation model. Each of the first five lactations was treated as different traits. For the parameter estimation study, a data set was set up including lactations from cows calved from 2001 to 2009. The total number of raw lactation records in first to fifth parities reached 1,416,589. At least 10 cows were required for each contemporary group, herd-year-season effect. Sires with fewer than 10 daughters were discarded. Lactations with 305d milk yield exceeding 15,000 kg were removed. In total, 1,456 sires of cows were remained after all the selection steps. A complete pedigree consisting of 292,382 records was used for the study. A sire model containing herd-year-season, caving age, and sire additive genetic effects was applied to the selected lactation data and pedigree for estimating (co) variance components via VCE. Heritabilities and genetic or residual correlations were then derived from the (co) variance estimates using R package. Genetic correlations between lactations ranged from 0.76 to 0.98 for milk yield, 0.79~1.00 for fat yield, 0.75~1.00 for protein yield. On individual lactation basis, relatively low heritability values were obtained 0.14~0.23, 0.13~0.20 and 0.14~0.19 for milk, fat, and protein yields, respectively. For the combined lactation heritability values were 0.29, 0.28, and 0.26 for milk, fat, and protein yields. The estimated parameters will be used in national genetic evaluations for production traits.

• Journal of Animal Environmental Science
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• v.15 no.2
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• pp.91-98
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• 2009

Object of this study were to determine the influence of collection times of rumen fluid on in vitro dry matter digestibility (IVDMD) of forage crops. The donor cow was fed concentrate once a day and given free access to grass-legume mixture hay. Main plot was consisted of different collection time of rumen fluid; T1: 1 hour before concentrate feeding, T2: 1 hour after feeding, T3: 4 hour after feeding and T4: 8 hour after feeding. A total of 7 samples of 4 different forage crops (barely, Italian ryegrass, crimson clover, rye) were used for the estimation of IVDMD and tested in three replicates. For the $DAISY^{II}$ incubation, each sample was inserted into each filter bag then heat-sealed and incubated in a digestion vessel for 48 h at $39^{\circ}C$. The times of rumen fluid collection had no significant effect on the IVDMD values over all varieties except for 2 breeds of IRG (Kogreen and Kospeed). IVDMD values with T1 over all varieties were slightly higher than other treatments, however those with both T1 of Kogreen and Kospeed varieties were significantly higher than T2 (p<.05).

• Journal of Korean Society of Environmental Engineers
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• v.22 no.7
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• pp.1345-1355
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• 2000

The main route of exposure of the human population to polychlorinated dibenzop-dioxins(PCDDs) and polychlorinated dibenzofurans(PCDFs) is through the diet. However in Korea, there are few studies on PCDDs/PCDFs levels in environmental samples and foods. The purpose of this study is to analyze concentration of PCDDs/PCDFs in Korean retail foods and to estimate dietary daily intake of them. 9 samples from animal food and 10 samples from plant food were analysed for PCDDs/PCDFs. Concentrations of PCDDs/PCDFs ranged from 0.02(milk) to 5.39(anchovy)pg/g. TEQ levels appeared in order of fish/shellfish, meat, vegetable, cereal, fruit and milk, and these values ranged from 0.0008 to 0.3153pgTEQ/g. The daily intake of PCDDs/PCDFs via food was calculated to be about 37.7pgTEQ/day and these values are equivalent to 0.75 pgTEQ/kg b.w./day, under consideration of 50kg for body weight. The daily intake of PCDDs/PCDFs via food was lower than that in other countries. From these results, it is important to note that fish/shellfish intake is one of the main sources of PCDDs/PCDFs exposure in Korea.

• Analytical Science and Technology
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• v.16 no.5
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• pp.407-417
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• 2003

In this study, we measured the concentration of VOCs in ambient air and landfill gas (LFG) in a midsize municipal landfill site. The LFG flux values of VOCs were computed using a total of fifteen VOCs determined by GC-PID system. To understand relative contribution of these 15 VOCs to the total carbon budget, their concentration and flux estimates were compared to those of non-methane hydrocarbons (NMHC) measured concurrently. It was also found that there were systematic differences in absolute VOC concentration levels between LFG and air samples above landfill surface. The VOC concentrations in LFG samples were high enough to reach above a few tens of ppm that are 10 to 100 times higher than those in air above landfill surface. If the LFG flux values were computed using the LFG concentration data of 15 VOCs and NMHC with exit ventilation speed, the magnitude of emissions in the study area is estimated to be 8.6 and 103 ton C/yr, respectively. In the meantime, large fraction of those speciated VOC emissions is accounted for by BTEX.

• Journal of Korean Society of Transportation
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• v.30 no.5
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• pp.71-82
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• 2012

Some previous studies adopted a method statistically based on the observed traffic volumes and travel times to estimate the parameters. Others tried to find an optimal set of parameters to minimize the gap between the observed and estimated traffic volumes using, for instance, a combined optimization model with a traffic assignment model. The latter is frequently used in a large-scale network that has a capability to find a set of optimal parameter values, but its appropriateness has never been demonstrated. Thus, we developed a methodology to estimate a set of parameter values of BPR(Bureau of Public Road) function using Harmony Search (HS) method. HS was developed in early 2000, and is a global search method proven to be superior to other global search methods (e.g. Genetic Algorithm or Tabu search). However, it has rarely been adopted in transportation research arena yet. The HS based transportation network calibration algorithm developed in this study is tested using a grid network, and its outcomes are compared to those from incremental method (Incre) and Golden Section (GS) method. It is found that the HS algorithm outperforms Incre and GS for copying the given observed link traffic counts, and it is also pointed out that the popular optimal network calibration techniques based on an objective function of traffic volume replication are lacking the capability to find appropriate free flow travel speed and ${\alpha}$ value.

• Nuclear Engineering and Technology
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• v.55 no.10
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• pp.3543-3548
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• 2023

Shutdown chemistry evolution is performed in nuclear power plants at each refueling outage (RFO) to establish safe conditions to open system and minimize inventory of corrosion products in the reactor coolant system (RCS). After hydrogen peroxide is added to RCS during shutdown chemistry evolution, corrosion products are released and are removed by filters and ion exchange resins in the chemical volume control system (CVCS). Shutdown chemistry evolution including RCS clean-up time to remove released corrosion products impacts the critical path schedule during RFOs. The estimation of clean-up time prior to RFO can provide more reliable actions for RCS clean-up operations and transients to operators during shutdown chemistry. Electric Power Research Institute (EPRI) shutdown calculator (SDC) enables to provide clean-up time by Co-58 peak activity through operational data from nuclear power plants (NPPs). In this study, we have investigated the results of EPRI SDC by shutdown chemistry data of Co-58 activity using NPP data from previous cycles and modeled the estimated clean-up time by EPRI SDC using average Co-58 activity of the NPP. We selected two RFO data from the NPP to evaluate EPRI SDC results using the purification time to reach to 1.3 mCi/cc of Co-58 after hydrogen peroxide addition. Comparing two RFO data, the similar purification time between actual and computed data by EPRI SDC, 0.92 and 1.74 h respectively, was observed with the deviation of 3.7-7.2%. As the modeling the estimated clean-up time, we calculated average Co-58 peak concentration for normal cycles after cycle 10 and applied two-sigma (2σ, 95.4%) for predicted Co-58 peak concentration as upper and lower values compared to the average data. For the verification of modeling, shutdown chemistry data for RFO 17 was used. Predicted RCS clean-up time with lower and upper values was between 21.05 and 27.58 h, and clean-up time for RFO 17 was 24.75 h, within the predicted time band. Therefore, our calculated modeling band was validated. This approach can be identified that the advantage of the modeling for clean-up time with SDC is that the primary prediction of shutdown chemistry plans can be performed more reliably during shutdown chemistry. This research can contribute to improving the efficiency and safety of shutdown chemistry evolution in nuclear power plants.