This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMYnormal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

Natural uranium-contaminated soil in Korea Atomic Energy Research Institute (KAERI) was generated by decommissioning of the natural uranium conversion facility in 2010. Some of the contaminated soil was expected to be clearance level, however the disposal cost burden is increasing because it is not classified in advance. In this study, pre-classification method is presented according to the ratio of naturally occurring radioactive material (NORM) and contaminated uranium in the soil. To verify the validity of the method, the verification of the uranium radioactivity concentration estimation method through γ-ray analysis results corrected by self-absorption using MCNP6.2, and the validity of the pre-classification method according to the net peak area ratio were evaluated. Estimating concentration for 238U and 235U with γ-ray analysis using HPGe (GC3018) and MCNP6.2 was verified by 􀟙-spectrometry. The analysis results of different methods were within the deviation range. Clearance screening factors (CSFs) were derived through MCNP6.2, and net peak area ratio were calculated at 295.21 keV, 351.92 keV(214Pb), 609.31 keV, 1120.28 keV, 1764.49 keV(214Bi) of to the 92.59 keV. CSFs for contaminated soil and natural soil were compared with U/Pb ratio. CSFs and radioactivity concentrations were measured, and the deviation from the 60 minute measurement results was compared in natural soil. Pre-classification is possible using by CSFs measured for more than 5 minutes to the average concentration of 214Pb or 214Bi in contaminated soil. In this study, the pre-classification method of clearance determination in contaminated soil was evaluated, and it was relatively accurate in a shorter measurement time than the method using the concentrations. This method is expected to be used as a simple pre-classification method through additional research.

High-entropy alloys (HEAs) are attracting attention because of their excellent properties and functions; however, they are relatively expensive compared with commercial alloys. Therefore, various efforts have been made to reduce the cost of raw materials. In this study, MIM is attempted using coarse equiatomic CoCrFeMnNi HEA powders. The mixing ratio (powder:binder) for HEA feedstock preparation is explored using torque rheometer. The block-shaped green parts are fabricated through a metal injection molding process using feedstock. The thermal debinding conditions are explored by thermogravimetric analysis, and solvent and thermal debinding are performed. It is densified under various sintering conditions considering the melting point of the HEA. The final product, which contains a small amount of non-FCC phase, is manufactured at a sintering temperature of 1250oC.

A laser scabbling experiment was performed using a high-power fiber laser to investigate the removal rate of the concrete block and the scabbled depth. Concrete specimens with a 28-day compressive strength of 30 MPa were used in this study. Initially, we conducted the scabbling experiment under a stationary laser beam condition to determine the optimum scan speed. The laser interaction time with the concrete surface varied between 3 s and 40 s. The degree of spalling and vitrification on the surface was primarily dependent on the laser interaction time and beam power. Furthermore, thermal images were captured to investigate the spatial and temporal distribution of temperature during the scabbling process. Based on the experimental results, the scan speed at which the optical head moved over the concrete was set to be 300 mm∙min−1 or 600 mm∙min−1 for the 4.8-kW or 6.8-kW laser beam, respectively. The spalling rates and average depth on the concrete blocks were measured to be 87 cm3∙min−1 or 227 cm3∙min−1 and 6.9 mm or 9.8 mm with the 4.8-kW or 6.8-kW laser beams, respectively.

A previous studies depicting origin and sequence variability of the species using DNA barcoding region with the samples collected from Korea showed relatively low sequence variability. Thus, additional markers that reveal higher variability were necessitated to scrutinize population structure in connection with dispersal and invasive dynamics among international populations. Therefore, we sequenced two complete mitochondrial genomes (mitogenomes) of M. pruinosa from the two haplotypes occurring in Korea (H1 and H3). Comparison of the two mitogenomes each with 16,312 and 16,314 bp evidenced that one region located in the A+T-rich region to provide higher number of haplotypes (4 vs. 3), sequence divergence (1.636% vs. 0.636%), and variable sites (7 vs. 3) than those of DNA barcoding region from the screening test using 13 representative individuals. This variable region, in concatenation with the currently available DNA barcoding region might be useful for population genetic analysis of worldwide populations including those of Korea. †These authors contributed equally to this paper.

고온기 화색발현이 우수하고 연중생산이 가능한 수출용 스프레이국화 신품종을 육성하기 위하여 충남농업기술원 화훼 연구소에서 2010년 분홍색의 모본 ‘Borami’를 방임수분하였다. 2011년에 종자를 파종하였고, 이중 화형과 화색이 우수한 개체를 선발하여 ‘SP11-148-01’로 계통명을 부여하였다. 2011년부터 2013년까지 주년 생산성을 위해 전조, 자연, 차광재배로 특성을 각각 검정하였고, 생육 및 개화특성은 화형과 화색이 비슷한 자주색 스프레이국화인 ‘Kingfisher’를 대조품종으로 조사하였으며, 2013년 ‘Yes Ruby’로 품종등록 출원하였다. ‘Yes Ruby’는 자주색의 설상화와 연녹색의 통상화로 가을 작형 개화기는 10월 24일로, ‘Kingfisher’의 10월 29일에 비해 빨랐다. ‘Yes Ruby’의 초장과 줄기굵기는 각각 94.9cm와 7.7mm로 ‘Kingfisher’의 89.2cm와 6.4mm보다 컸다. ‘Yes Ruby’의 꽃 직경은 6.2cm로 ‘Kingfisher’의 5.0cm보다 컸으며, 꽃잎수도 ‘Yes Ruby’가 25.7개로 ‘Kingfisher’의 23.3개보다 많았다. 착화수는 두 품종 모두 비슷하였으며, 흰녹병 저항성은 ‘Yes Ruby’가 2단계, ‘Kingfisher’는 3단계의 감염 정도를 나타내어 흰녹병에 대한 저항성이 높은 것으로 나타났다. 재배상 유의사항은 ‘Yes Ruby’는 겨울철 균일한 개화가 이뤄지지 않아 겨울철 야간온도를 18℃ 이상으로 관리해줌으로써 균일개화를 유도할 수 있다. 또한 생장억제제인 Daminozide을 처리함으로써 설상화수를 늘려 볼륨감 높은 꽃봉오리를 형성할 수 있어 고온기에도 화색발현이 우수하고 연중생산이 가능하여 안정적 수출을 통한 농가소득 증대에 기여할 수 있을 것으로 기대된다.