• Korean Journal of Organic Agriculture
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• v.26 no.4
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• pp.677-686
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• 2018

This study was carried out to determine the effect of Kluyvera sp. CL-2 (KACC 91283P) on the growth of watermelon (Citrullus vulgaris L.). The study consisted of three treatments, no treatment (NT), twice application of Kluyvera sp. CL-2 before transplanting (KC1), and five times application around transplanting (KC2). We determined the chemical properties of soil before and after the treatments, and compared the growth characteristics of watermelon among treatments. The treatment of Kluyvera sp. CL-2 at $1.0{\times}10^6cfu\;mL^{-1}$ significantly increased available $P_2O_5$. The organic matter showed to increase for all treatments, while soil pH, exchangeable Ca and Mg tended to decrease for all treatments. The leaf width was increased by 11.6% for KC1 and 26.2% for KC2 compared to NT. But there were no significant differences in yield, leaf length, fruit weight, fruit length, fruit width, and pericarp thickness among treatments. The contents of free sugars such as fructose and glucose were increased by microbial treatments but sucrose was not different from NT. The content of glucose in watermelon was increased by 13.8% in KC1 and 12.8% in KC2 compared to NT. The content of fructose increased by 14.6% in KC1 and by 39.8% in KC2 compared to NT. The results from the study imply that Kluyvera sp. CL-2 can be used to increase sugar content in watermelon.

• Journal of Environmental Science International
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• v.28 no.1
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• pp.7-18
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• 2019

This study aimed to assess the impact of livestock excreta discharged from an Intensive Livestock Farming Area (ILFA) on river water quality during a rainfall event. The Bangcho River, which is one of the 7 tributaries in the Cheongmi River watershed, was the study site. The Cheongmi River watershed is the second largest area for livestock excreta discharge in Korea. Our results clearly showed that, during the rainfall event, the water quality of the Bangcho River was severely deteriorated due to the COD, $NH_4-N$, T-N, $PO_4-P$, T-P, and heavy metals (Cu, Zn, and Mn) in the run-off from nearby farmlands, where the soil comprised composted manure and unmanaged livestock excreta. In addition, stable isotope analysis revealed that most of nitrogen ($NH_4-N$ and $NO_3-N$) in the run-off was from the ammonium and nitrate in the livestock excreta. The values of ${\delta}^{15}N_{NH4}$ and ${\delta}^{15}N_{NO3}$ for the Bangcho River water sample, which was obtained from the downstream of mixing zone for run-off water, were lower than those for the run-off water. This indicates that there were other nitrogen sources upstream river in the river. It was assumed from ${\delta}^{15}N_{NH4}$ and ${\delta}^{15}N_{NO3}$ stable isotope analyses that these other nitrogen sources were naturally occurring soil nitrogen, nitrogen from chemical fertilizers, sewage, and livestock excreta. Therefore, the use of physicochemical characteristics and nitrogen stable isotopes in the water quality impact assessment enabled more effective analysis of nitrogen pollution from an ILFA during rainfall events.

• Journal of Life Science
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• v.28 no.11
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• pp.1361-1368
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• 2018

Inflammation is the most common condition in the human body. Tissue damage triggers inflammation, together with vasodilation and increased blood flow at the inflamed site, resulting in edema. Inflammatory responses are also triggered by lipopolysaccharide (LPS), a Toll-like receptor Enterococcus faecalis, a gram-positive organism, has been reported to possess immunomodulatory and preventive activities; however, its use may present risks of sepsis and other systemic infections. Heat-killed Enterococcus faecalis (EF-2001) has been reported to induce antitumor activity, but its effects on inflammation are not known. In the present study, we investigated the effect of EF-2001 on LPS-induced macrophage inflammatory responses. EF-2001 treatment reduced nitric oxide (NO) production, indicating suppression of inflammatory reactions. EF-2001 showed no cytotoxicity in macrophages. Further investigation of the anti-inflammatory mechanism of EF-2001 indicated that EF-2001 reduced the LPS-induced expression of inducible nitric oxide synthase and cyclooxygenase-2. EF-2001 also reduced f the LPS induction of several inflammatory molecules involved in the nuclear factor-${\kappa}B$ ($NF-{\kappa}B$) and mitogen-activated protein kinase pathways, including ERK, JNK, and p38 phosphorylation, in a concentration-dependent manner. Additionally, EF-2001 inhibited Akt phosphorylation and increased the expression of the inhibitory ${\kappa}B$ ($I{\kappa}B$) protein, an inhibitor of $NF-{\kappa}B$. EF-2001 also inhibited the nuclear translocation of p65. These results suggest that EF-2001 has anti-inflammatory properties and may be useful for treating inflammatory diseases.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.64-80
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• 2018

In Korea, citizens can only know general information about crime. Thus it is difficult to know how much they are exposed to crime. If the police can predict the crime risky area, it will be possible to cope with the crime efficiently even though insufficient police and enforcement resources. However, there is no prediction system in Korea and the related researches are very much poor. From these backgrounds, the final goal of this study is to develop an automated crime prediction system. However, for the first step, we build a big data set which consists of local real crime information and urban physical or non-physical data. Then, we developed a crime prediction model through machine learning method. Finally, we assumed several possible scenarios and calculated the probability of crime and visualized the results in a map so as to increase the people's understanding. Among the factors affecting the crime occurrence revealed in previous and case studies, data was processed in the form of a big data for machine learning: real crime information, weather information (temperature, rainfall, wind speed, humidity, sunshine, insolation, snowfall, cloud cover) and local information (average building coverage, average floor area ratio, average building height, number of buildings, average appraised land value, average area of residential building, average number of ground floor). Among the supervised machine learning algorithms, the decision tree model, the random forest model, and the SVM model, which are known to be powerful and accurate in various fields were utilized to construct crime prevention model. As a result, decision tree model with the lowest RMSE was selected as an optimal prediction model. Based on this model, several scenarios were set for theft and violence cases which are the most frequent in the case city J, and the probability of crime was estimated by $250{\times}250m$ grid. As a result, we could find that the high crime risky area is occurring in three patterns in case city J. The probability of crime was divided into three classes and visualized in map by $250{\times}250m$ grid. Finally, we could develop a crime prediction model using machine learning algorithm and visualized the crime risky areas in a map which can recalculate the model and visualize the result simultaneously as time and urban conditions change.

• Journal of Wetlands Research
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• v.21 no.1
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• pp.34-42
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• 2019

Baseflow which is one of the unmeasurable components of streamflow and slowly flows through underground is important for water resource management. Despite various separation methods from researches preceded, it is difficult to find a significant separation method for baseflow separation. This study applied the MRC method and developed the improved approach to separate baseflow from total streamflow hydrograph. Previous researchers utilized the whole streamflow data of study period at once to derive synthetic MRCs causing unreliable results. This study has been proceeded with total nine areas with gauging stations. Each three areas are selected from 3 domestic major watersheds. Tool for drawing MRC had been used to draw MRCs of each area. First, synthetic MRC for whole period and two other MRCs were drawn following two different criteria. Two criteria were set by different conditions, one is flow condition and the other is seasonality. The whole streamflow was classified according to seasonality and flow conditions, and MRCs had been drawn with a specialized program. The MRCs for flow conditions had low R2 and similar trend to recession segments. On the other hand, the seasonal MRCs were eligible for the baseflow separation that properly reflects the seasonal variability of baseflow. Comparing two methods of assuming MRC for baseflow separation, seasonal MRC was more effective for relieving overestimating tendency of synthetic MRC. Flow condition MRCs had a large distribution of the flow and this means accurate MRC could not be found. Baseflow separation using seasonal MRC is showing more reliability than the other one, however if certain technique added up to the flow condition MRC method to stabilize distribution of the streamflow, the flow conditions method could secure reliability as much as seasonal MRC method.

• Journal of the Geological Society of Korea
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• v.54 no.5
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• pp.489-499
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• 2018

A series of geological events such as the formation of the Antarctic continental ice sheets, the changes in ocean circulation and a mass extinction after the onset of Oligocene has been studied as major concerns by various researches. However, paleoclimatic and paleoceanographic changes during the most period of Oligocene since the Eocene-Oligocene transition (EOT) still remains unclear. Especially, although the late Oligocene warming (LOW) has been assessed as the largest period in the paleoceanographic changes, the detailed understanding on the changed components is very low. The purpose of this study is the reconstruction of the paleoceanographic history during the late Oligocene using core sediments from IODP Expedition 342 Site U1406 performed in J-Anomaly Ridge in North Atlantic. Because North Atlantic deep water (NADW) has flowed southward through the study area since the early Oligocene, this area has been considered to an important location for studies on the changes of NADW. The core sediment analyzed in this study were deposited from about 26.0 to 26.5 Ma as evidenced by both of onboard and shore-based paleomagnetic data, and this is corresponded to the earliest period of LOW. The sediment profile can be divided into three Units (Unit 1, 2 & 3) based on the changes in both of total number and test size of Oridorsalis umbonatus as well as grain size data of clastic sediments. Unit 2 represents largest values in these three data. Because the total number, test size of O. umbonatus and grain size can be proxy records on the oxygen concentration and circulation intensity of deep water, we interpreted that Unit 2 had been deposited during the period of relatively strengthened NADW. Previous Cibicidoides spp. stable isotope results from the low latitude region of the North Atlantic also support our interpretation that is the intensified formation of NADW during the identical period. In conclusion, our results present a new evidence for the previous ideas that the causes on LOW are directly related to the changes in NADW.

• Korean Journal of Breeding Science
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• v.49 no.3
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• pp.129-140
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• 2017

This study was carried out to develop of environmental risk assessments and the biosafety guide for Vitamin E enhanced transgenic soybean at LMO (Living Modified Organism) isolation field. In LMO quarantine area of National Institute of Agricultural Sciences, insect species diversities and population densities on vitamin E enhanced transgenic soybean and non-GM soybeans (Willams 82 and Seoritae) were investigated. A total of 17,717 individuals of 77 species from 8 orders were collected in LMO isolation field. In three type soybeans field, total of 5,250 individuals in Vitamin E enhanced transgenic soybean, 5,510 individuals in Willams 82, and 6,957 individuals in Seoritae were collected, respectively. There was no difference between the population densities of insect pests, natural enemies and other insects on Vitamin E enhanced transgenic soybean and Willams 82, while natural enemies density on Seoritae was higher than on Vitamin E enhanced transgenic soybean, but insect pests density on Vitamin E enhanced transgenic soybean was higher. These results provided the insects diversity for risk assessment survey of Vitamin E enhanced transgenic soybean and suggested that the guideline could be useful to detect LMO crops.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.4
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• pp.348-356
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• 2018

Most of fires were human-caused fires in Korea, but meteorological factors are also big contributors to fire behavior and its spread. Thus, meteorological factors as well as topographical and forest factors were considered in the fire danger rating systems. This study aims to develop an advanced national integrated daily weather index(DWI) using weather data in the spring and fall to support forest fire prevention strategy in South Korea. DWI represents the meteorological characteristics, such as humidity (relative and effective), temperature and wind speed, and we integrated nine logistic regression models of the past into one national model. One national integrated model of the spring and fall is respectively $[1+{\exp}\{-(2.706+(0.088^*T_{mean})-(0.055^*Rh)-(0.023^*Eh)-(0.014^*W_{mean}))\}^{-1}]^{-1}$, $[1+{\exp}\{-(1.099+(0.117^*T_{mean})-(0.069^*Rh)-(0.182^*W_{mean}))\}^{-1}]^{-1}$ and all weather variables significantly (p<0.01) affected the probability of forest fire occurrence in the overall regions. The accuracy of the model in the spring and fall is respectively 71.7% and 86.9%. One integrated national model showed 10% higher accuracy than nine logistic regression models when it is applied weather data with 66 random sampling in forest fire event days. These findings would be necessary for the policy makers in the Republic of Korea for the prevention of forest fires.

• Journal of Nutrition and Health
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• v.51 no.6
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• pp.538-555
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• 2018

Purpose: This study examined the association of the type and frequency of coffee consumption with the health-related quality of life and metabolic bio-markers in adult men and women from the 2013 ~ 2016 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: A total of 11,201 subjects (4,483 men and 6,718 women) were classified according to the type of coffee consumption (non-coffee, black coffee, 3-in-1 coffee) and type and frequency of coffee consumption (non-coffee, ${\leq}2$ times/day of black coffee, > 2 times/day of black coffee, ${\leq}2$ times/day of 3-in-1 coffee, > 2 times/day of 3-in-1 coffee) using food frequency questionnaires. Dietary nutrient intake data were assessed using food frequency questionnaires. The health-related quality of life was measured using the EuroQol-5 dimension (EQ-5D) and EQ-5D index score. Data on metabolic bio-markers were obtained from a health examination. Results: Among men and women, the proportion of subjects with an energy intake below the estimated energy requirement (EER) was lower among the 3-in-1 coffee consumption group, and the proportion of subjects with iron intakes below the estimated average requirements (EAR) was lower among the 3-in-1 coffee consumption group. Women (OR: 0.810, 95% CI: 0.657 ~ 0.998) with the ${\leq}2$ times/day of 3-in-1 coffee had a lower risk of impaired health-related quality of life (lowest 20% level in the EQ-5D score) compared to the non-coffee consumers after a multivariable adjustment. In both men and women, the type and frequency of coffee consumption was not associated with metabolic bio-markers risk after multivariable adjustment. Conclusion: These results suggest that 3-in-1 coffee consumption may be associated with a lower risk of impaired health-related quality of life and may not be associated with the metabolic bio-markers risk in adult men and women.

• Journal of Life Science
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• v.29 no.3
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• pp.345-353
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• 2019

This study investigated the physiochemical properties, the anti-oxidant and alcohol metabolism enzyme activities, and the anti-inflammatory effects of three muskmelon vinegars prepared under different fermentation conditions, namely MV-1, MV-2, and MV-3. The total acidity of each vinegar was 4.00%, 4.32%, and 4.35%, respectively. Organic acid analysis showed that malic acid (58.37 mg/ml) was the most prevalent in MV-1 and that acetic acid was most prevalent in both MV-2 (46.95 mg/ml) and MV-3 (66.70 mg/ml). The total phenolic content of the muskmelon vinegars was highest at $129.74{\mu}g$ tannic acid equivalents (TAE)/ml in MV-3. The DPPH radical scavenging activity of the vinegars increased in a dose-dependent manner (p<0.05) and was 89.28% at MV-3 40% concentration. Similarly, SOD activitity increased in a concentration-dependent manner (p<0.05) so that levels for MV-1, MV-2, and MV-3 at 60% concentrations were 40.84%, 52.17% and 72.55%, respectively (p<0.05). Moreover, the ADH and ALDH activities of muskmelon vinegar were seen to increase in a concentration-dependent manner; ADH activity at 60% concentration was highest at 136.58% in MV-1 and ALDH activity at 60% concentration was highest at 100.25% in MV-2. The nitrite scavenging activities of MV-1, MV-2, and MV-3 at pH 1.2 were found to be 81.58%, 94.72%, and 87.75%, respectively. Anti-inflammatory effects were also examined, using LPS-stimulated RAW 264.7 cells, and nitric oxide production was reduced to 25.93%, 10.01%, and 79.75% by addition of MV-1, MV-2, and MV-3 at 1% concentration, respectively (p<0.05). These results suggest that the MV-3 muskmelon vinegar has great potential as an ingredient for high quality functional health beverages.