• Korean Journal of Plant Resources
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• v.12 no.3
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• pp.240-252
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• 1999

Floristic composition and phytosociological studies of Mt. Chongok and Mt. Tuta were investigated, and that was compared with the previously published report in 1993. Vascular plants were composed of 100 families, 358 genera, 573 species, 95 varieties, and 18 formae, totaling 686 taxa. The vegetation was relatively well conserved based on Pteridophyta calculation (Pte-Q), 1.13. Compared with the vascular plants of the southern and northern slope area, the vascular plants of the southern slope area were composed of 87 families, 287 genera, 419 species, 73 varieties, and 11 formae, totaling 503 taxa, and those of the northern slope area consisted of 94 families, 293 genera, 427 species, 73 varieties, and 12 formae, totaling 512 taxa, respectively. Also, compared with the taxa in each side, both sides were composed of 332 species in common, southern sides, 172 species and northern sides, 182 species, respectively. The number of species of 11 families belonged to the higher level among total families taxa was composed of 328 species(47.8%). Among them, Compositae and Rosaceae were included much more species than remnant families. Korean endemic species were composed 16 families, 24 genera, 20 species, 8 varieties and 2 formae, totaling 30 species(4.4%). Compared with the Korean endemic taxa in each side, both sides were composed of 14 species in common, southern sides, 11 species and northern sides, 5 species, respectively. A naturalized plants were 20 species, correspond to 9.2% of totaling 218 species appeared in South Korea. Among them,12 species were appeared commonly in both sides, southern sides, 16 species and northern sides, 16 species, respectively. Life form spectra was H-D1-R5-e type and, useful resources plants are as follows; edible source(42.4%), medicinal source(31.5%), ornamental source(15.6%) and pasture source (13.3%) in the total region. The forest vegetation of the southern slope was classified into 1 order, 1 alliances and 5 communities; Rhododendro-Quercetalia mongolicae, Lindero-Quercion mongolicae, Quercus mongolica Typical community, Populus davidiana-Quercus mongolica community, Pinus koraiensis-Taxus cuspidata community, Pinus densiflora-Carex humilis var. nana community, Betula costata-Betula ermanii community. It is considered that the slight difference of the flora and vegetation in the northern and southern slope is mostly due to the topographical and climatic difference. Even closer investigation is required for the more accurate comparison in this area.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.1
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• pp.11-21
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• 2014

The purpose of this study was to furnish basic information for forest community ecology and to accumulate vegetational datum related to hierarchy of forest community for the efficient management of forest vegetation in Mt. Mani. Samples were collected and analyzed by 32 releves from August to October in 2010 using phytosociological analysis methodology of Z-M school and importance value analysis. The results were summarized that the forest vegetation was classified into 5 units in total. Importance value at vegetation unit 1 indicated Pinus densiflora 54.31 (18.10%), Quercus mongolica 39.21 (13.07%), Carpinus coreana 37.29 (12.43%), at vegetation unit 2 Quercus mongolica 89.43 (22.23%), Rhododendron mucronulatum 57.75 (14.43%), Carpinus coreana 47.19(11.80%), at vegetation unit 3 Styrax japonica 53.97 (13.50%), Acer mono 33.60 (8.40%), Carpinus coreana 26.48 (6.62%), Quercus serrata 22.51 (5.64%), at vegetation unit 4 Carpinus coreana 47.70 (11.92%), Quercus acutissima 38.40 (9.60%) and at vegetation unit 5 Evodia daniellii 80.59 (20.14%), Robinia pseudoacacia 35.00 (8.74%), Pueraria thunbergiana 28.63 (7.15%), Quercus dentata 28.20 (7.05%) in the order, respectively.

• The Korean Journal of Nuclear Medicine
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• v.34 no.5
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• pp.410-417
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• 2000

Purpose: Idoxifene is currently entering phase II clinical trials for the treatment of advanced breast cancer. The radiolabeled idoxifene using $[^{123}I]$ provides an opportunity for clinical pharmacology with single photon emission computed tomography (SPECT). The purpose of this study was to prepare radiolabeled idoxifene using $[^{123}I]$ and to determine its cell uptake of breast cancer cell line. Materials and Methods: With a view to evaluating new anticancer drugs, we are investigating the novel antiestrogen pyrrolidino-4-iodotamoxifen (idoxifene). $[^{123}I]$Idoxifene has been prepared in no-carrier-added form using a tributyl stannylated precursor which has been synthesized by means of (2-chloroethoxy)benzene with (${\pm}$)-2-phenylbutanoic acid on the basis of previously reported standard methods. The biodistribution and dynamic behavior of the compound were investigated using the comparative breast cancer cell line, MCF-7 (estrogen receptor-positive) and MDA-MB-468 (non-estrogen receptor). Results and Conclusion: Acylation of (2-chloroethoxy)benzene with (${\pm}$)-2-phenylbutanoic acid gave the versatile ketone (81%) which reacted with 1,4-diiodobenzene to give triphenylethylene as a mixture of E and Z geometric isomers, which were separated by the recrystallization in ethanol. The E-isomer was treated with pyrrolidine to give idoxifene (67%). In order to incorporate radioactive iodine into the 4-position, the 4-stannylated precursor was prepared (30%). The yield of radioiodination was 90-92% with a high radiochemical purity greater than 98%. The ratio of tumor uptake of the breast cancer cell line between MCF-7 and MDA-MB-468 was about 1.7.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.42 no.2
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• pp.153-159
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• 1997

Pokeweed, a polycarpic plant, has been used as herbage medicine, vegetable or dye. It, however, is known as an aggressive plant in the vicinity of the industrial area evolving air pollutants. The experiment was done to determine the effect of priming using nitrates, germination temperature and light quality on germination of its seed to get information on the optimum germination process as well as its establishment. The daily percent germination was measured to 12 days after sowing since its seeds were treated by two different nitrates [KNO$_3$, Ca(NO$_3$)$_2$]. their different concentrations (0, 50, 150, 300mM), then treatment duration (1, 3, 6 days), different germination temperature (day /night; 30/30, 30/20, 20/30, 20/2$0^{\circ}C$) and light quality (red, white, dark) before or during germination. The percent germination was greater in the KNO$_3$ treatment than in the Ca(NO$_3$)$_2$ but in the priming treatment with KNO$_3$ in comparison with no-priming. In the priming treatment with KNO$_3$, the percent germination was increased with its increased concentration to 150mM although decreased with delayed duration to 6 days. Regardless of light quality, the greater percent germination was shown in the order of 2$0^{\circ}C$ constant and 20/3$0^{\circ}C$ alternative, 3$0^{\circ}C$ constant, 30/2$0^{\circ}C$ alternative temperature. The germination was less in the dark during germination than in the illumination in which the red light had greater percent germination compared to white light. The seeds primed with KNO$_3$ were germinated under the alternative temperature even in the dark condition.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.6 s.165
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• pp.837-847
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• 2007

1,098 pieces of photographs($1995{\sim}2002$) of men's suit style have been classified according to fashion images in order to examine features and change aspects with statistical analysis. The findings of examining features of the trend by year with test of homogeneity, correspondence analysis, biplots, correlation analysis and regression analysis are as follows: (a) there are significant differences on fashion images as the trend by yew with test of homogeneity, (b) there are remarkable differences on the fashion trend by year with correspondence analysis and biplots. (c) There are significant correlations for appearance among fashion images by its frequency through correlation analysis, and (d) it is assumed that fashion images are going to be gradually outstanding according to regression analysis.

• Applied Biological Chemistry
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• v.11
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• pp.35-41
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• 1969

In order to determine proper ratio of wheat to soybean of soysauce koji material for Korean people's taste, sensory evaluation for the soysauces made from soysauce kojis with various above-mentioned ratio and analysis of chemical components through the brewing period of six months were carried out. The results obtained were summarized as follows: 1. The specific gravity of all the soysauces increased gradually as the time passed and had maximum values in two months with nearly constant values thereafter. Concerning soybean/wheat-ratio, generally, the higher soybean/wheat-ratio, the lower specific gravity was observed but when this ratio was higher than 10 : 6, the gravity was on the similar levels. 2. The solid material in all the soysauces increased in the earlier stage and there were no significant differences among the treatments but soysauces without wheat had a little low content. 3. The lesser amount of wheat as raw material was, the higher contents of total nitrogen were and the contents of total nitrogen in the every ratio of raw material increased parallely as the mash ages. 4. The amino-nitrogen levels were found to have the simllar tendency to total nitroghen levels. 5. The reducing sugar content was higher in the soysauces with more-wheat and increased rapidly up to the maximum level in two months and then the higher wheat/soybean-ratio was, the slower decrease of the sugar content was observed. 6. The maximum total acidity was observed in the soysauces with 10; 4-6 (soybean/wheat-ratio) and increased similary in all the soysauces throughout the period. 7. According to the sensory evaluation, the short (2-3 months) fermented soysauces showed best taste when soybean/wheat-ratio was 10 : 8 and 10 : 6 if diluted, but in long (4-6 months) fermented soysauces it was 10 : 6 and 10 : 4 if diluted.

• Restorative Dentistry and Endodontics
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• v.30 no.6
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• pp.450-460
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• 2005

The aim of this study was to evaluate the effect of cavity shape, bond quality of bonding agent and volume of resin composite on shrinkage stress developed at the cavity floor. This was done by measuring the shear bond strength with respect to iris materials (cavity shape , adhesive-coated dentin as a high C-factor and Teflon-coated metal as a low C-factor), bonding agents (bond quality: $Scotchbond^{TM}$ Multi-purpose and Xeno III) and iris hole diameters (volume; 1mm or 3mm in $diameter{\times}1.5mm$ in thickness). Ninety-six molars were randomly divided into 8 groups ($2{\times}2{\times}2$ experimental setup). In order to simulate a Class I cavity, shear bond strength was measured on the flat occlusal dentin surface with irises. The iris hole was filled with Z250 restorative resin composite in a bulk-filling manner. The data was analyzed using three-way ANOVA and the Tukey test. Fracture mode analysis was also done When the cavity had high C-factor, good bond quality and large volume, the bond strength decreased significantly The volume of resin composite restricted within the well-bonded cavity walls is also be suggested to be included in the concept of C-factor, as well as the cavity shape and bond quality. Since the bond quality and volume can exaggerate the effect of cavity shape on the shrinkage stress developed at the resin-dentin bond, resin composites must be filled in a method, which minimizes the volume that can increase the C-factor.

• Journal of Korean Society of Forest Science
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• v.110 no.3
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• pp.406-418
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• 2021

This study was conducted to evaluate optimal storage techniques for bare root plants and container seedlings of Quercus variabilis and Zelkova serrata in order to maintain high quality of seedlings until planting. Refrigerated storage treatments were given at two temperatures (-2℃ [freezing] and 2℃ [cooling]) for nine different durations (0, 15, 30, 60, 120, 180, 240, 300, and 360 days after storage). We analyzed total nonstructural carbohydrate (TNC) content and measured shoot moisture content (SMC) during the storage stage and survival rate (SR) and dry weight during the planting stage of seedlings. The TNC content and SMC of the seedlings of the two species decreased with an increase in storage duration. The TNC content of seedlings rapidly decreased after 180~240 days of storage. The TNC reduction rate in the freezing treatment was lower than that in the cooling treatment. Also, with an increase in the storage duration of the two species, the SMC reduction rate in the cooling treatment increased in comparison with that in the freezing treatment. In both the species, the SR after planting decreased rapidly after 60 days of cooling storage and 180 days of freezing storage, respectively. The SR after planting was less than 60% when the TNC content for both the species dropped below 20 mg g^-1. In addition, the SR was lower than 80% when SMC measured before storage decreased by approximately 30% and 20% for Q. variabilis and Z. serrata, respectively. Our results suggest that cooling (1~2℃) storage is recommended for a short-term period (2 months or less), whereas freezing (-2~-4℃) storage is suitable for longer periods (2~6 months). These optimal storage techniques, allied with seedling harvesting and handling systems, will improve the quality of seedling production in nursery stages and increase seedling growth performances in plantations.

• Journal of Korean Society of Forest Science
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• v.109 no.4
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• pp.382-389
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• 2020

Soil properties in opencast mines are a key factor in reclamation (revegetation) of mining areas. In this study we determined the soil physical and chemical properties of kaolinite tailings, reclaimed areas, and adjacent natural red pine (Pinus densiflora S. et Z.) forests in kaolinite opencast mines in Sancheong-gun, Gyeongsangnam-do. Six sites were chosen for collection of soil samples to determine soil physical and chemical properties at a soil depth of 10 cm. Soil bulk density was significantly higher (P < 0.05) in the kaolinite tailings (1.51 g·cm-3) than in the reclaimed areas (1.19 g·cm-3) and red pine forests (0.93 g·cm-3), whereas air phase in the kaolinite tailings (14.2%) was significantly lower than in the red pine forests (32.6%). Clay content in the red pine forests was significantly higher than in the reclaimed areas (18.7%) or kaolinite tailings (14.8%), whereas soil structural stability index was significantly lower in the reclaimed areas (1.61%) and kaolinite tailings (0.87%) than in the red pine forests (7.75%). Soil pH was significantly higher in the kaolinite tailings (pH 6.68) and reclaimed areas (pH 6.27) than in the red pine forests (pH 5.31). Soil organic carbon and total nitrogen were significantly higher in the red pine forests (C: 36.03 mg·g-1; N: 2.08 mg·g-1) than in the reclaimed areas (C: 5.00 mg·g-1; N: 0.31 mg·g-1) than in the kaolinite tailings (C: 2.12 mg·g-1; N: 0.07 mg g-1). The amount of available phosphorus was not significantly different among the three treatments. The concentration of exchangeable potassium was significantly lower in the kaolinite tailings (0.08 cmolc·kg-1) than in the reclaimed areas (0.21 cmolc·kg-1) and red pine forests (0.30 cmolc·kg-1). These results indicate that, because of high soil bulk density and low soil organic carbon, total nitrogen, available phosphorus, and exchangeable potassium in kaolinite tailings and reclaimed mining areas, soil nutrient management is needed in order to reclaim the vegetation in these type of areas.