EU taxonomy requires to solve problems for safe management of radioactive waste and disposal of spent fuel, which is a precondition for growing demand for nuclear power plant. Currently, Korea manages about 18,000 tons of high-level radioactive waste at temporary storage facilities in nuclear power plant sites, but such temporary storage facilities are expected to become saturated sequentially from 2031. Therefore, it is necessary to secure a permanent disposal facility to safely treat high-level radioactive waste. In accordance with the second basic plan for high-level radioactive waste management in 2021, it is necessary to establish requirements for regulatory compliance for the site selection and site acquisition, investigation and evaluation, and construction for the establishment of a deep geological disposal facility. In this study, we analyzed the regulatory policies and cases of leading foreign countries related to deep geological disposal facilities for high-level radioactive waste disposal waste such as IAEA, USA, Sweden, and Finland using data analysis methodology. To analyze a large amount of textbased document data, text mining is applied as a major technology and a verification standard that secures validity and safety based on the regulatory laws described so far is developed to establish a regulatory base suitable for domestic deep geological disposal status. Based on the collected data, preprocessing and analysis with Python were performed. Keywords and their frequency were extracted from the data through keyword analysis. Through the measured frequency values, the contents of the objects and elements to be regulated in the statutory items were grasped. And through the frequency values of words co-occurring among different sections through the analysis of related words, the association was obtained, and the overall interpretation of the data was performed. The results of analyzing regulations of major foreign countries using text mining are visualized in charts and graphs. Word cloud can intuitively grasp the contents by extracting the main keywords of the contents of the regulations. Through the network connection graph, the relationship between related words can be visually structured to interpret data and identify the causal relationship between words. Based on the result data, it is possible to compare and analyze the factors to be supplemented by analyzing domestic nuclear safety case and regulations.

Since high-level radioactive wastes contain long-lived nuclides and emit high energy, they should be disposed of permanently through a deep geological disposal system. In Korea, the first (2016.07) and the second (2021.12) basic plans for the management of high-level disposal systems were proposed to select sites for deep geological disposal facilities and to implement business strategies. Leading countries such as Finland, Sweden and France have developed and applied safety cases to verify the safety of deep geological disposal systems. By examining the regulatory status of foreign leading countries, we analyze the safety cases ranging from the site selection stage of the deep geological disposal system to the securing of the permanent disposal system to the investigation, analysis, evaluation, design, construction, operation, and closure. Based on this analysis, we will develop safety case elements for long-term safety of deep geological disposal systems suitable for domestic situation. To systemically analyze data based on safety cases, we have established a database of deep geological disposal system regulations in leading foreign countries. Artificial intelligence text mining and data visualization techniques are used to provide database in dashboard form rather than simple lists of data items, which is a limitation of existing methods. This allows regulatory developers to understand information more quickly and intuitively and provide a convenient interface so that anyone can easily access the analyzed data and create meaningful information. Furthermore, based on the accumulated bigdata, the artificial intelligence learns and analyzes the information in the database through deep learning, and aims to derive a more accurate safety case. Based on these technologies, this study analyzed the legal systems, regulatory standards, and cases of major international leading countries and international organizations such as the United States, Sweden, Finland, Canada, Switzerland, and the IAEA to establish a database management system. To establish a safety regulation base suitable for the domestic deep geological disposal environment, the database is provided as data to refer to and apply systematic information management on regulatory standards and regulatory cases of overseas leading countries, and it is expected that it will play a key role as a forum for understanding and discussing the level of safety of deep geological disposal system among stakeholders.

Kori-1, the nuclear power plants in South Korea, first started operation in April 1978 and was suspended permanently in 2017. The saturation rate time of spent nuclear fuel generated by major nuclear power plants operating in Korea are getting closer. If we fail to dispose spent nuclear fuel, which is equivalent to high-level radioactive waste, the nuclear power plants will have to be shutdown. High-level radioactive waste is permanently disposed through a deep geological disposal system because it contains long-term half-life nuclides and emits high energy. To select the deep geological disposal site and construct the disposal facilities, it is necessary to establish appropriate regulatory policies accordingly. The status of database construction in OECD-NEA, NRC, SITEX, and IAEA, which provides safety regulations for deep geological disposal system, stipulates each requirement for dismantling nuclear power plants. However, details such as specific figures are not specified, and guidelines for the disposal of high-level radioactive wastes are not clearly distinguished. In Korea, the CYPRUS program, an integrated database system, has been developed to support comprehensive performance evaluation for high-level waste disposal. However, due to several difficult situations, maintenance and upgrades have not been performed, so the research results exist only in the form of raw data and the new research results have not been reflected. Other than that, there is no preemptive basis for regulating the deep geological disposal system. With real-time database, we can develop a regulatory system for the domestic deep disposal system by systematically analyzing the regulatory condition and regulatory case data of international organizations and foreign leading countries. The database system processed and stored primary data collected from nuclear safety reports and other related data. In addition, we used relational database and designed table to maximize time and space efficiency. It is provided in the form of a web service so that multiple users can easily find the data they want at the same time. Based on these technologies, this study established a database system by analyzing the legal systems, regulatory standards, and cases of major foreign leading countries such as Sweden, Finland, the United States, and Japan. This database aims to organize data for each safety case component and further prepare a safety regulatory framework for each stage of development of disposal facilities suitable for the domestic environment.

CYPRUS is a web-based waste disposal research comprehensive information management program developed by the Korea Atomic Energy Research Institute over three years from 2004. This program is stored as existing quality assurance documents and data, and the research results can be viewed at any time. In addition, it helps to perform all series of tasks related to the safety evaluation study of the repository in accordance with the quality assurance system. In the future, it is necessary to improve the user convenience by clarifying the relationship between FEP and scenarios and upgrading output functions such as visualization and automatic report generation. This purpose of this study is to research and develop the advanced program of CYPRUS. This study is based on building FEP, DIM and scenario databases. It is necessary to develop an algorithm to analyze and visualize the FEP, DIM and scenario relationship. This project is an integrated information processing platform for DB management and visualization considering user convenience. The first development goal is to build long-term evolutionary FEP, DIM, and scenarios as a database. The linkage by FEP item was designed in consideration of convenience by using a mixed delimiter of letters and numbers. This design provides information on detailed interactions and impacts between FEP items. Scenario data lists a series of events and characteristic change information for performance evaluation in chronological order. In addition, it includes information on FEP occurrence and mutual nutrition by period, and information on whether or not the repository performance is satisfied by item. The second development goal is to realize the relationship analysis and visualization function of FEP and scenario based on network analysis technique. Based on DIM, this function analyzes and visualizes interactions between FEPs in the same way as PID, RES, etc. In addition, this function analyzes FEP and DIM using network analysis technique and visualizes it as a diagram. The developed platform will be used to construct and visualize the FEP DB covering research results in various disposal research fields, to analyze and visualize the relationship between core FEP and scenarios, and finally to construct scenarios and calculation cases that are the evaluation target of the comprehensive performance evaluation model. In addition, it is expected to support the knowledge exchange of experts based on the FEP and scenario integrated information processing platform, and to utilize the platform itself as a part of the knowledge transfer system for knowledge preservation.

The consumption of pre-treated vegetables (including fresh-cut vegetables) has been significantly increased because of their ease of use for cooking. Vegetable cutting machine has been widely utilized for producing fresh-cut vegetables or agricultural products with different sizes; however, its design standard is not specifically established depending on types of agricultural products. Therefore, this study was conducted to determine mechanical properties (compressive and shear force) of targeted agricultural products (radish, carrot, squash, cucumber, shiitake mushroom and sweet potato) for developing multipurpose vegetable cutting machine. According to ASAE standard (s368.3), compressive and shear force of targeted agricultural products were measured by using custom built UTM (universal testing machine). Shape type of samples and speed ranges (5~15 mm/min) of loading rate on bioyield and shear points were varied by targeted agricultural products. The range of averaged bioyield points of targeted agricultural products were between 7.89 and 146.98 N. On the other hands, their averaged shear points were from 22.50 to 53.47 N. Results clearly showed that the bioyield and shear points of targeted agricultural products were thoroughly affected by their components. As accumulating compressive and shear points of agricultural products, it can be technical feasible to establish the design standard and control mechanism of multipurpose vegetable cutting machine.

본 연구는 직삽 양액재배에 의한 ‘신마’품종의 절화품 질 향상시키고자 양액 pH조정 비료종류와 모수포 관리 및 지베렐린처리 효과를 알아보기 위해 실시하였다. 모 수포 관리에 따른 절화장은 무처리(관행) 103 cm에 비해 모수포관리(온도,일장) 처리가 114 cm로 가장 컸고, 꽃 잎수도 무처리(관행) 259개/송이에 비해 모수포관리(온도, 일장) 처리가 298개로 가장 많았고, 절화중은 모수포관리 (온도,일장) 처리가 102g/본 가장 무겁게 나타났다. 엽록 소(SPAD-value)는 영양관리(몰비아 500배)처리가 57.2로 가장 높게 나타났다. 지베렐린처리 농도와 살포시기에 따른 절화장은 무처리(관행) 103 cm에 비해 지베렐린 1,000배 개화 60일전 처리가 121 cm로 가장 컸고, 꽃잎수 도 무처리(관행) 259개/송이에 비해 지베렐린 500배로 개화60일전 처리가 308개로 가장 많았고, 절화중 2,000배 개화60일전 처리가 110.7 g/본 가장 무겁게 나타 났다. 하지만 꽃목길이는 관행(무처리) 3.5 cm에 비해 500배 개화45일전 처리 10.4 cm와 1,000배 개화45일전 처리가 9.7 cm로 도장하는 경향이었다.

Background : Gentinae Macrophyllae Radix is one of the traditional medicines originated from the roots of multiple plants, Gentiana macrophylla Pall., Gentiana straminea Maxim., Gentiana crassicaulis Duthie ex Burkill and Gentiana dahurica Fisch., in Gentianaceae. Multi-origin traditional medicine usually has adulteration problem based on the morphological similarity and/or misunderstanding the species. Therefore, accurate and reliable identification criteria to ensure drug safety and quality is necessary. Methods and Results : We collected four original species of Gentinae Macrophyllae Radix from plantations and markets in China and Korea. DNA barcoding with four barcoding markers (Internal Transcribed Spacer (ITS), rbcL, trnL intron, trnL-F intergenic sapcer) was performed. Intra-specific variation was observed in ITS nucleotide sequence however, successfully distinct four original species based on the nucleotide discrepancy while trnL intron has no difference. trnL-F intergenic spacer has two transitions(T→C and A→G) sites only in G. crassicaulis and rbcL shows one transition(C→T) site in G. dahurica and G. macrophylla. Phylogenetic relationship analysis of the Gentinae Macrophyllae Radix revealed two major clades – clade I including three groups, G. macrophylla, G. straminea and G. dahurica, and clade II including G. crassicaulis. This aspects was shown more clear with multi-region combined analysis. Conclusion : DNA barcoding will be accurate and powerful criteria for the analysis the origin of Gentinae Macrophyllae Radix. However, single region analysis might be deficient such as trnL intron, rbcL and trnL-F intergenic spacer results in this research. Multi-region combined analysis based on the multiregional DNA barcode markers will be overcome the disadvantage and also increase the precision.

Marked neutrophilia associated with neoplasia is a relatively rare finding and has been considered as a paraneoplastic manifestation. Thyroid cancer seldom presents with paraneoplastic leukocytosis. We report on a case of a 69-year-old man who presented with paraneoplastic leukocytosis seven months after undergoing total thyroidectomy and I-131 therapy for treatment of papillary thyroidcarcinoma. We found neither bone marrow involvement of malignant cells nor hematologic malignancy. Based on elevated levels of serum granulocyte colony-stimulating factor, we concluded that the cause was paraneoplastic leukocytosis. Another interesting point was the anaplastic transformation in the pleural metastatic site. It usually occurs in the intrathyroid or regional lymph node.