• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.861-867
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• 2006

The objective of this study is to analyze the landslide hazard areas by combining LRA (Lgistic Regression Analysis) and AHP (Analytic Hierarchy Program) methods with Remote Sensing and GIS data in Anseong-si. In order to classify landslide hazard areas of seven levels, six topographic factors (slope, aspect, elevation, soil drain, soil depth, and land use) were used as input factors of LRA and AHP methods. As results, high-risk areas for landslide (1 and 2 levels) by LRA and AHP of its own were classified as 46.1% and 48.7%, respectively. A new method by applying weighting factors to the results of LRA and AHP was suggested. High-risk areas for landslide (1 and 2 levels) form the new method was classified as 58.9%.

• Korean Journal of Clinical Laboratory Science
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• v.53 no.4
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• pp.342-352
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• 2021

We used data from the 7th Korea National Health and Nutrition Examination Survey (KNHANES) (2016~2018) to investigate an association between high sensitivity C-reactive protein (hsCRP) and uric acid in the obese. Obesity was defined as a body mass index (BMI) of 25 kg/m² or more, severe obesity as a BMI of 30 kg/m² or more, and morbid obesity as a BMI of 35 kg/m² or more. In the complex samples multiple logistic regression, despite adjustment by adding major risk factors, the odds ratio (OR) for obesity was higher in the group with high levels of both, hsCRP and uric acid than the reference group at all stages (obesity, OR 1.89, P<0.001 vs. severe obesity, OR 5.04, P<0.001 vs. morbid obesity, OR 8.20, P<0.001). The association between hsCRP and uric acid in obese patients increased from 1.89 to 8.20 as the obesity level increased, suggesting that participants with increased BMI were significantly affected by hsCRP and uric acid. Moreover, the interaction between hsCRP and uric acid was statistically significant even in the model corrected for major confounding factors (P for interaction=0.009).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.169-180
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• 2021

This study was undertaken to determine the degree of quality of life, and factors influencing osteoarthritis in hypertensive elderly 65 years or older patients, using data from the 7th National Health and Nutrition Survey 2018. Totally, 843 subjects were included from a national sample. The SPSS WIN 26.0 program was used to analyze complex samples by applying the Rao-Scott chi-square test, t-test, and multiple regression analysis. Results indicate that quality of life of the hypertensive group with osteoarthritis is significantly lower than the group with only hypertension (t=5.07, p<0.001). Factors affecting the decrease in quality of life of the hypertensive group were age, subjective health status, and activity restrictions, and the explanatory power was 46.1% (F=12.33, p<0.001). In the hypertensive group with osteoarthritis, the effective factors included gender, cohabitation status, economic activity, subjective health status, activity restriction, body mass index, sleep time, stress perception, and depression, and the explanatory power was 44.6% (F=99.82, p<0.001). Subsequent studies showed that in order to improve the quality of life of hypertensive seniors, intervention programs are required to actively accommodate health conditions and minimize activity restrictions. In addition, for the elderly with osteoarthritis and hypertension, it is necessary to include exercise and nutrition education for body mass index management, and the development and intervention of multidisciplinary participation programs to strengthen mental health.

• Tuberculosis and Respiratory Diseases
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• v.39 no.2
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• pp.150-158
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• 1992

Background: Although many authors have reported that the median survival time of surgically resected non-small cell lung cancer (NSCLC) was shorter in aneuploid than in diploid determined by flow cytometry, there are few reports about DNA ploidy using bronchial brushing material in all types of lung cancer. Method: The DNA ploidy test results of 109 consecutive patients with lung cancer were analyzed to find the relationship of DNA ploidy and anatomic or physiologic stage. And the differences of the response to various therapeutic modalities according to DNA ploidy were evaluated at least 8 weeks after the begining of the therapy. Results: Numbers of patients with DNA aneuploid pattern or high proliferative activity (S+G2M>22%) were not different among the various cell types of lung cancer. The relationship of DNA ploidy and anatomic or physiologic stage was not significant. However, NSCLC patients with high proliferative activity showed more advanced anatomic stage than those without that (p<0.05). The short-term response rate to therapy depended on the anatomic (p<0.005) or physiologic stages (p<0.05) in patients with NSCLC, and not on DNA ploidy or proliferative activity. Conclusion: DNA ploidy test using bronchial brushing material revealed that high proliferative activity means advanced anatomic stage, but it was not useful to predict the therapeutic response.

• Korean Journal of Plant Taxonomy
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• v.50 no.1
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• pp.56-79
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• 2020

Baekdudaegan, the largest mountain range in eastern Asia, is a biodiversity hotspot in Korea that may have served as a glacial refugium. This study presents the flora of vascular plants on Deok-chi upto the Yuk-sim-nyeong area of the Baekdudaegan conservation area. The survey area was divided into four subareas and fieldwork was conducted for a total of twelve days in 2015. Voucher specimens were collected during the survey and were deposited at Daejeon University. A list of vascular plants was prepared based on the voucher specimens. The results of the survey showed that a total of 441 taxa, consisting of 100 families, 265 genera, 398 species, 9 subspecies, 32 varieties, and 2 forms, were found in the survey area. There was one endangered species, Aconitum coreanum, in the Bonghwasan Mt. area. Sixteen endemic taxa, 74 floristic regional indicator plants, as designated by the Ministry of the Environment, and eleven naturalized plants were distributed. The results of this study can serve as basic information to establish conservation and management plans for the Baekdudaegan conservation area.

• Journal of the Korean Society of Radiology
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• v.17 no.7
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• pp.1197-1205
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• 2023

In this study, the spectrum due to radioactivity contained sand samples from famous beaches in the Yeongnam region was measured. The sand samples were from eight famous beaches in Yeongnam region and were placed into a high-purity germanium detector (HPGe) using with an electric field, which is a semiconductor detector and subjected to a precision analysis of the gamma-rays emitted from the radionuclides in the sand by using a multichannel analyzer (MCA). To measure the concentration of the radionuclides, we obtained a spectrum by analyzing the gamma-rays emitted from the radionuclides for a measurement time of 8,000 seconds. As a result of analyzing the spectrum table, Tl-208 had the highest radioactivity at all eight beaches: A, B, C, D, E, F, G, and H. In conclusion, radionuclides detected in sand samples from beaches in the Yeongnam region are natural radionuclides, but they can affect the inside of the human body. Therefore, there is a need for continuous investigation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.104-111
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• 2016

This study examined the effects of the biological markers and lifestyle factors on the presence of diabetes in middle-aged adults. A total of 5,363 adults aged 40-64 years were recruited from the 2010-2012 Fifth Korean National Health and Nutrition Examination Survey. The data were analyzed by descriptive statistics, Chi-square test, ANCOVA and logistic regression. The results were as follows. The body mass index was significantly higher in the prediabetes and diabetes group than in the normal group. Hypertension, abdominal obesity, hypercholesterolemia, hypertriglyceridemia, smoking, drinking, and carbohydrate intake were significantly different among three groups. Hypertension, hypercholesterolemia, hypertriglyceridemia, abdominal obesity, body mass index and drinking were the influencing biological markers and lifestyle factors in prediabetes. The significant factors influencing diabetes were hypertension, hypercholesterolemia, hypertriglyceridemia, abdominal obesity, body mass index, and smoking. Overall, the development of intervention programs for effective diabetes prevention in middle-aged adults by lifestyle modification of hypertension, obesity, dyslipidemia, drinking, and smoking is recommended.

• Journal of Chest Surgery
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• v.31 no.2
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• pp.102-107
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• 1998

It has not been clear whether L-arginine plays solely a role contributing to vascular nitric oxide (NO) synthesis. To investigate the mechanisms by which L-arginine induces vasorelaxation, effects of L-arginine on the isometric tension, and tissue NOx and cyclic guanosine monophosphate(cGMP) contents were examined in the isolated rat thoracic aorta. L-Arginine induced a dose-dependent relaxation of aortic rings only with intact endothelium only. The vasorelaxation response to low concentrations of L-arginine was abolished by the pretreatment with NG-nitro-L-arginine methyl ester(L-NAME, 10-4 mol/L), whereas the relaxation caused by higher concentrations L-arginine(10-5-10-3 mol/L) was maintained and even more pronounced in the presence of L-NAME. L-Arginine did not affect the vascular tension precontracted with KCl. The vascular tissue contents of NOx/cGMP were not significantly affected by L-arginine, while they were decreased by L-NAME. L-Arginine could not completely recover the NOx/cGMP decreased by L-NAME. Methylene blue only partially antagonized the relaxation response to L-arginine. Indomethacin did not affect the L-arginine-induced vasorelaxation, whereas ouabain markedly attenuated the relaxation. It is suggested that L-arginine induces vasorelaxation not only through its contribution to NO synthesis, but also through enhancing another endothelium-dependent mechanism which is NO/cGMP-independent and cyclooxygenase- independent.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.2
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• pp.68-78
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• 2020

Crop models have been used to predict vegetable crop yield, which would have a considerable economic impact on consumers as well as producers. A small number of models have been developed to estimate growth and yield of vegetables due to limited availability of growth observation data in high-quality. In this study, we aimed to analyze the protocols designed for collection of the observation data for major vegetable crops including cabbage, radish, garlic, onion and pepper. We also designed the protocols suitable for development and verification of a vegetable crop growth model. In particular, different measures were proposed to improve the existing protocol used by Statistics Korea (KOSTAT) and Rural Development Administration (RDA), which would enhance reliability of parameter estimation for the crop model. It would be advantageous to select sampling sites in areas where reliable weather observation data can be obtained because crop models quantify the response of crop growth to given weather conditions. It is recommended to choose multiple sampling sites where climate conditions would differ. It is crucial to collect time series data for comparison between observed and simulated crop growth and yield. A crop model can be developed to predict actual yield rather than attainable yield using data for crop damage caused by diseases and pests as well as weather anomalies. A bigdata platform where the observation data are to be shared would facilitate the development of crop models for vegetable crops.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.4
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• pp.435-442
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• 2007

To reduce damage from high concentration ozone in the air, we have researched how to predict high concentration ozone before it occurs. High concentration ozone is a rare event and its reaction mechanism has nonlinearities and complexities. In this paper, we have tried to apply and consider as many methods as we could. We clustered the data using the fuzzy c-mean method and took a rejection sampling to fill in the missing and abnormal data. Next, correlations of the input component and output ozone concentration were calculated to transform more correlated components by modified log transformation. Then, we made the prediction models using Dynamic Polynomial Neural Networks. To select the optimal model, we adopted a minimum bias criterion. Finally, to evaluate suggested models, we compared the two models. One model was trained and tested by the transformed data and the other was not. We concluded that the modified transformation effected good to ideal performance In some evaluations. In particular, the data were related to seasonal characteristics or its variation trends.