• Title/Summary/Keyword: 강성법

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The Effect of Application Levels of Slurry Composting and Bio-filtration Liquid Fertilizer on Soil Chemical Properties and Growth of Radish and Corn (총각무와 옥수수 재배시 SCB액비 시용수준이 토양화학성과 생육에 미치는 영향)

  • Kang, Seong-Soo;Kim, Min-Kyeong;Kwon, Soon-Ik;Kim, Myong-Suk;Yoon, Sung-Won;Ha, Sang-Gun;Kim, Yoo-Hak
    • Korean Journal of Soil Science and Fertilizer
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    • v.44 no.6
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    • pp.1306-1313
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    • 2011
  • A liquid fertilizer treated with slurry composting and biofiltration (SCB) process has been applied increasingly on agricultural field but the effects on the soil properties and crop production has not been throughly evaluated. This study was conducted to investigate the effect of the SCB application on soil chemical properties and the growth of radish and corn. SCB liquid fertilizer as a basal fertilization was treated with five levels based on $6kg\;10a^{-1}$ for radish and $10kg\;10a^{-1}$ for corn. The experimental design was the completely randomized block design with five levels and three replicates. Electrical conductivity (EC), $NO_3$-N, Exch. K and Exch. Na increased depending on the treatment levels of SCB. There were no changes in soil organic matter, Avail. $P_2O_5$, Exch. Ca and Exch. Mg. EC, $NO_3$-N and Exch. Na content decreased as precipitation increased. Especially, they decreased up to the initial condition before the treatment after the heavy rainy season in 2008. Although Exch. K decreased at the rainy season, they remained relatively higher content after the experiment on August, 2008. Fresh weight and the amount of N uptake of radish increased due to the levels of SCB, but corn did not present any significant increase. It is recommended that we need to decide the proper amount of SCB as well as the application method on the field to increase the productivity and decrease environmental stress. Additional experiments also need to clarify the effect of the trace element and heavy metal accumulations due to long term application of SCB.

A New Vegetable Soybean Cultivar, 'Sangwon' with Early Maturity and High Yield (풋콩용 조숙 다수성 신품종 '상원')

  • Ko, Jong-Min;Baek, In-Youl;Han, Won-Young;Kim, Hyun-Tae;Oh, Ki-Won;Shin, Sang-Ouk;Park, Keum-Yong;Ha, Tae-Jung;Shin, Doo-Chull;Chung, Myung-Geun;Kang, Sung-Taek;Yun, Hong-Tae;Oh, Young-Jin;Lee, Jong-Hyung;Son, Chang-Ki;Kim, Yong-Deuk
    • Korean Journal of Breeding Science
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    • v.42 no.6
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    • pp.684-689
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    • 2010
  • 'Sangwon', a new cultivar for vegetable soybean, was developed from the cross between 'Keunolkong' and 'Oshimamidori', and was released at the National Institute of Crop Science (NICS) in 2007. The goal to develop a vegetable soybean cultivar with green pod, early maturity, large seed size, high yield, lodging tolerance, and resistance to disease such as soybean mosaic virus (SMV). 'Sangwon' has light green pod, early maturity, large seed, short plant height, and lodging tolerance. 'Sangwon' has determinate growth habit, white flower, gray pubescence, and oval leaf shape. The matured seeds have a yellow seed coat with light brown hilum, and a yellow cotyledon. 'Sangwon' has 5.8 cm fresh pod length, 13.2mm fresh pod width, 69.5 g seed weight per 100 green seeds, 44.0% green seed protein content, and 14.8% green seed oil content. At the regional yield trials (RYT) for vegetable soybean from 2005 to 2007, 'Sangwon' shows strong resistance to soybean mosaic virus (SMV) and tolerance to lodging in fields. Fresh pods of 'Sangwon' were harvested at the beginning of August. In the same tests, fresh pod of 'Sangwon' (10.39ton/ha) yielded 5% higher than 'Hwaeomputkong' (9.90ton/ha).

A New Black Seed Coat Soybean Cultivar, 'Daeheug' with Lodging Tolerance, and Large Seed Size (검정콩 대립 내도복 신품종 '대흑')

  • Han, Won-Young;Baek, In-Youl;Ko, Jong-Min;Kim, Hyun-Tae;Oh, Ki-Won;Shin, Sang-Ouk;Park, Keum-Yong;Ha, Tae-Jung;Shin, Doo-Chull;Chung, Myung-Gun;Kang, Sung-Taek;Yun, Hong-Tae;Oh, Young-Jin;Kim, Je-Kyu;Kim, Ho-Yeong;Choi, Jae-Keun;Lee, Seong-Su;Son, Chang-Ki;Kim, Yong-Duk
    • Korean Journal of Breeding Science
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    • v.42 no.3
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    • pp.267-271
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    • 2010
  • A new black seed coat soybean cultivar, 'Daeheug', was developed at the National Institute of Crop Science (NICS) in 2007. The breeding goal for black seed coat soybean is to develop the cultivar with large seed size, high yield, lodging tolerance, and resistance to disease such as soybean mosaic virus (SMV), and bacterial pustule. 'Daeheug' was selected from the cross between 'Daehwang' which had yellow seed coat, large seed size, and late maturity, and 'Milyang 79' which was lodging tolerant, and SMV resistant with medium seed size, black seed coat, and yellow cotyledon. The preliminary, advanced and regional yield trials for evaluation and selection of this cultivar were carried out from 2003 to 2007. It has determinate growth habit, purple flower, brown pubescence, brown pod color, black seed coat, yellow cotyledon, spherical flattened seed shape, oval leaf shape and large seed size (34.3 g/100 seeds). In maturity, 'Daeheug' was 2 days later than the check cultivar 'Ilpumgeomjeongkong'. In the seed quality such as isoflavone contents ($635{\mu}g/g$), and anthocyanin contents ($11.2m{\ell}/g$ of seed coat), 'Daeheug' was better than the check cultivar. It has good adaptability for cooking with rice in ratio of water absorption and seed hardness. Specially, it has good processability for soybean tea with 2.13 absorbance at 530 nm, scavenge activity of DPPH radical was high, and contents of total phenolics was $1,263{\mu}g/m{\ell}$. The average yield of 'Daeheug' was 2.26 ton per hectare in the regional yield trials (RYT) carried out in six locations of Korea from 2005 to 2007.

A Study on the Fabrication and Comparison of the Phantom for CT Dose Measurements Using 3D Printer (3D프린터를 이용한 CT 선량측정 팬텀 제작 및 비교에 관한 연구)

  • Yoon, Myeong-Seong;Kang, Seong-Hyeon;Hong, Soon-Min;Lee, Youngjin;Han, Dong-Koon
    • Journal of the Korean Society of Radiology
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    • v.12 no.6
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    • pp.737-743
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    • 2018
  • Patient exposure dose exposure test, which is one of the items of accuracy control of Computed Tomography, conducts measurements every year based on the installation and operation of special medical equipment under Article 38 of the Medical Law, And keep records. The CT-Dose phantom used for dosimetry can accurately measure doses, but has the disadvantage of high price. Therefore, through this research, the existing CT - Dose phantom was similarly manufactured with a 3D printer and compared with the existing phantom to examine the usefulness. In order to produce the same phantom as the conventional CT-Dose phantom, a 3D printer of the FFF method is used by using a PLA filament, and in order to calculate the CTDIw value, Ion chambers were inserted into the central part and the central part, and measurements were made ten times each. Measurement results The CT-Dose phantom was measured at $30.44{\pm}0.31mGy$ in the periphery, $29.55{\pm}0.34mGy$ CTDIw value was measured at $30.14{\pm}0.30mGy$ in the center, and the phantom fabricated using the 3D printer was measured at the periphery $30.59{\pm}0.18mGy$, the central part was $29.01{\pm}0.04mGy$, and the CTDIw value was measured at $30.06{\pm}0.13mGy$. Analysis using the Mann - Whiteney U-test of the SPSS statistical program showed that there was a statistically significant difference in the result values in the central part, but statistically significant differences were observed between the peripheral part and CTDIw results I did not show. In conclusion, even in the CT-Dose phantom made with a 3D printer, we showed dose measurement performance like existing CT-Dose phantom and confirmed the possibility of low-cost phantom production using 3D printer through this research did it.

Determination and Validation of an Analytical Method for Dichlobentiazox in Agricultural Products with LC-MS/MS (LC-MS/MS를 이용한 농산물 중 Dichlobentiazox 시험법 개발 및 검증)

  • Gu, Sun Young;Lee, Han Sol;Park, Ji-Su;Lee, Su Jung;Shin, Hye-Sun;Kang, Sung Eun;Chung, Yun Mi;Choi, Ha Na;Yoon, Sang Soon;Jung, Young-Hyun;Yoon, Hae Jung
    • Korean Journal of Environmental Agriculture
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    • v.40 no.2
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    • pp.108-117
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    • 2021
  • BACKGROUND: Dichlobentiazox is a newly registered pesticide in Korea as a triazole fungicide and requires establishment of an official analysis method for the safety management. Therefore, the aim of this study was to determine the residual analysis method of dichlobentiazox for the five representative agricultural products. METHODS AND RESULTS: Three QuEChERS methods were applied to establish the extraction method, and the EN method was finally selected through the recovery test. In addition, various adsorbent agents were applied to establish the clean-up method. As a result, it was found that the recovery of the tested pesticide was reduced when using the d-SPE method with PSA and GCB, but C18 showed an excellent recovery. Therefore this method was established as the final analysis method. For the analysis, LC-MS/MS was used with consideration of the selectivity and sensitivity of the target pesticide and was operated in MRM mode. The results of the recovery test using the established analysis method and inter laboratory validation showed a valid range of 70-120%, with standard deviation and coefficient of variation of less than 3.0% and 11.6%, respectively. CONCLUSION: Dichlobentiazox could be analyzed with a modified QuEChERS method, and the method determined would be widely available to ensure the safety of residual pesticides in Korea.

Determination and Validation of an Analytical Method for Spiropidion and Its Metabolite Spiropidion-enol (SYN547305) in Agricultural Products with LC-MS/MS (LC-MS/MS를 이용한 농산물 중 Spiropidion 및 대사산물 Spiropidion-enol (SYN547305) 시험법 개발 및 검증)

  • Gu, Sun Young;Lee, Su Jung;Shin, Hye-Sun;Kang, Sung Eun;Chung, Yun Mi;Lee, Jung Mi;Jung, Yong-hyun;Moon, Guiim
    • Korean Journal of Environmental Agriculture
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    • v.41 no.2
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    • pp.82-94
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    • 2022
  • BACKGROUND: Spiropidion and its metabolite are tetramic acid insecticide and require the establishment of an official analysis method for the safety management because they are newly registered in Korea. Therefore, this study was to determine the analysis method of residual spiropidion and its metabolite for the five representative agricultural products. METHODS AND RESULTS: Three QuEChERS methods (original, AOAC, and EN method) were applied to optimize the extraction method, and the EN method was finally selected by comparing the recovery test and matrix effect results. Various adsorbent agents were applied to establish the clean up method. As a result, the recovery of spiropidion was reduced when using the dispersive-SPE method with MgSO4, primary secondary amine (PSA), graphitized carbon black (GCB) and octadecyl (C18) in soybean. Color interference was minimized by selecting the case including GCB and C18 in addition to MgSO4. This method was established as the final analysis method. LC-MS/MS was used for the analysis by considering the selectivity and sensitivity of the target pesticide and the analysis was performed in MRM mode. The results of the recovery test using the established analysis method and inter laboratory validation showed a valid range of 79.4-108.4%, with relative standard deviation and coefficient of variation were less than 7.2% and 14.4%, respectively. CONCLUSION(S): Spiropidion and its metabolite could be analyzed with a modified QuEChERS method, and the established method would be widely available to ensure the safety of residual insecticides in Korea.

A study on the field tests and development of quantitative two-dimensional numerical analysis method for evaluation of effects of umbrella arch method (UAM 효과 평가를 위한 현장실험 및 정량적 2차원 수치해석기법 개발에 관한 연구)

  • Kim, Dae-Young;Lee, Hong-Sung;Chun, Byung-Sik;Jung, Jong-Ju
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.11 no.1
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    • pp.57-70
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    • 2009
  • Considerable advance has been made on research on effect of steel pipe Umbrella Arch Method (UAM) and mechanical reinforcement mechanism through numerical analyses and experiments. Due to long analysis time of three-dimensional analysis and its complexity, un-quantitative two-dimensional analysis is dominantly used in the design and application, where equivalent material properties of UAM reinforced area and ground are used, For this reason, development of reasonable, theoretical, quantitative and easy to use design and analysis method is required. In this study, both field UAM tests and laboratory tests were performed in the residual soil to highly weathered rock; field tests to observe the range of reinforcement, and laboratory tests to investigate the change of material properties between prior to and after UAM reinforcement. It has been observed that the increase in material property of neighboring ground is negligible, and that only stiffness of steel pipe and cement column formed inside the steel pipe and the gap between steel pipe and borehole contributes to ground reinforcement. Based on these results and concept of Convergence Confinement Method (CCM), two dimensional axisymmetric analyses have been performed to obtain the longitudinal displacement profile (LDP) corresponding to arching effect of tunnel face, UAM effect and effect of supports. In addition, modified load distribution method in two dimensional plane-strain analysis has been suggested, in which effect of UAM is transformed to internal pressure and modified load distribution ratios are suggested. Comparison between the modified method and conventional method shows that larger displacement occur in the conventional method than that in the modified method although it may be different depending on ground condition, depth and size of tunnel, types of steel pipe and initial stress state. Consequently, it can be concluded that the effect of UAM as a beam in a longitudinal direction is not considered properly in the conventional method.

Multi-classification of Osteoporosis Grading Stages Using Abdominal Computed Tomography with Clinical Variables : Application of Deep Learning with a Convolutional Neural Network (멀티 모달리티 데이터 활용을 통한 골다공증 단계 다중 분류 시스템 개발: 합성곱 신경망 기반의 딥러닝 적용)

  • Tae Jun Ha;Hee Sang Kim;Seong Uk Kang;DooHee Lee;Woo Jin Kim;Ki Won Moon;Hyun-Soo Choi;Jeong Hyun Kim;Yoon Kim;So Hyeon Bak;Sang Won Park
    • Journal of the Korean Society of Radiology
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    • v.18 no.3
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    • pp.187-201
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    • 2024
  • Osteoporosis is a major health issue globally, often remaining undetected until a fracture occurs. To facilitate early detection, deep learning (DL) models were developed to classify osteoporosis using abdominal computed tomography (CT) scans. This study was conducted using retrospectively collected data from 3,012 contrast-enhanced abdominal CT scans. The DL models developed in this study were constructed for using image data, demographic/clinical information, and multi-modality data, respectively. Patients were categorized into the normal, osteopenia, and osteoporosis groups based on their T-scores, obtained from dual-energy X-ray absorptiometry, into normal, osteopenia, and osteoporosis groups. The models showed high accuracy and effectiveness, with the combined data model performing the best, achieving an area under the receiver operating characteristic curve of 0.94 and an accuracy of 0.80. The image-based model also performed well, while the demographic data model had lower accuracy and effectiveness. In addition, the DL model was interpreted by gradient-weighted class activation mapping (Grad-CAM) to highlight clinically relevant features in the images, revealing the femoral neck as a common site for fractures. The study shows that DL can accurately identify osteoporosis stages from clinical data, indicating the potential of abdominal CT scans in early osteoporosis detection and reducing fracture risks with prompt treatment.