• Nuclear Engineering and Technology
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• v.27 no.4
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• pp.483-490
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• 1995

The objective of the PKL III A 4.4 experiment is to examine that the plant could be controlled by manually operative actions "after Steam Generator Tube Rupture under Offsite Power Available without Safety Injection". In order to verify the limitation and ability of the system code NLOOP in the expeiment simulation, the behaviors of the PKL III facility obtained in the experiment are compared with the results of NLOOP code. NLOOP code, which is originally developed to simulate the transients of the Westinghouse type PWRs by KAERI/SIEMENS, modified properly to simulate the PKL III facility. Particular attention is given to the RCS mass How rate of the natural circulation in loops and the termination behavior of the natural circulation in the isolated loop. The comparisons between the experimental and calculational results show the simulation ability and problems of the code. the code.

• 한국사회정책
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• v.25 no.2
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• pp.333-366
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• 2018

The purpose of this study is to identify the types of social capital by delinquent adolescents using the Q methodology and to find ways to form social capital. As a result, 33 types of statements about social capital were extracted from 16 juvenile delinquents and five types were derived. Type I was named as 'Friend Supportive Type', Type II as 'Family Friendly', Type III as 'Ability Type', Type IV as 'Social Justice' and Type V as 'School Trust Type'. First, it is necessary to develop a program that uses good friends to improve social capital in peer relations. Second, intervention in the direct relationship between parents' children, that is, communication with friends, children of friends and children who are indirectly formed with children, as well as communication, attention, and communication are required. Third, it is necessary to intervene to control the continuous emotional control ability in daily life. Fourth, there is a need to strengthen the irrationality of the social system and the supervision over the harmful environment. Finally, there is a need to improve the environment to enhance the level of school norms and confidence in the school.

• The Korean Journal of Pain
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• v.32 no.4
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• pp.245-255
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• 2019

Stem cells are attracting attention as a key element in future medicine, satisfying the desire to live a healthier life with the possibility that they can regenerate tissue damaged or degenerated by disease or aging. Stem cells are defined as undifferentiated cells that have the ability to replicate and differentiate themselves into various tissues cells. Stem cells, commonly encountered in clinical or preclinical stages, are largely classified into embryonic, adult, and induced pluripotent stem cells. Recently, stem cell transplantation has been frequently applied to the treatment of pain as an alternative or promising approach for the treatment of severe osteoarthritis, neuropathic pain, and intractable musculoskeletal pain which do not respond to conventional medicine. The main idea of applying stem cells to neuropathic pain is based on the ability of stem cells to release neurotrophic factors, along with providing a cellular source for replacing the injured neural cells, making them ideal candidates for modulating and possibly reversing intractable neuropathic pain. Even though various differentiation capacities of stem cells are reported, there is not enough knowledge and technique to control the differentiation into desired tissues in vivo. Even though the use of stem cells is still in the very early stages of clinical use and raises complicated ethical problems, the future of stem cells therapies is very bright with the help of accumulating evidence and technology.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.421-430
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• 2021

It is necessary to pay attention to the appearance of word-initial glottalization among social classes. The higher the academic ability, the more formal it is, the more likely it is to avoid word-initial glottalization due to the psychological factors that are close to the English pronunciation. The purpose of this study is to prove and clarify this through experimental research and the Praat voice analysis program. In previous discussions on word-initial glottalization, there have been various discussions such as strengthening expressions, the conclusion of competition of modern society, Korean historical analysis, differences in Korean and English phonetics, and attempts to regularize the pronunciation of loanwords. In this paper, it was revealed that the higher the academic ability, the weaker the pronunciation of loanwords word-initial glottalization appears in formal and formal situations, by using experimental research and voice analysis program Praat. The presence or absence of pronunciation of the initial specification of loanwords acts as a psychological base for expressing one's status and hierarchy.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.543-552
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• 2021

Marketing-Sales-Interface(MSI) capabilities are known to have a positive impact on sales performance as pharmaceutical salespersons's ability to more effectively communicate their knowledge and experience in the market with internal resources in the organization. This study was conducted to analyze the mediating effect of pharmaceutical salespersons marketing-sales-interface (MSI) ability on sales performance through job satisfaction. Salespersons from five pharmaceutical companies nationwide were studied, and the survey was carried out for about a week from April 15 to April 23, 2021, and a total of 257 questionnaires were used for the final analysis. The main analysis result of this research is that, first, the MSI capabilities that pharmaceutical salespersons perceive showed a statistically significant positive (+) impact on job satisfaction and sales performance. Also, the MSI capabilities that pharmaceutical salespersons perceive had a statistically significant positive (+) impact on sales performance by mediating job satisfaction. The analysis results suggest the importance of MSI capability and job satisfaction for improving the sales performance of pharmaceutical salespersons. This study aims to come up with measures and provide baseline data related to salesperson management by paying attention to the mediating effects of job satisfaction on the impact of MSI on sales performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.3991-4010
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• 2021

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.4008-4023
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• 2022

Since machine learning was introduced into cross-site scripting (XSS) attack detection, many researchers have conducted related studies and achieved significant results, such as saving time and labor costs by not maintaining a rule database, which is required by traditional XSS attack detection methods. However, this topic came across some problems, such as poor generalization ability, significant false negative rate (FNR) and false positive rate (FPR). Moreover, the automatic clustering property of graph convolutional networks (GCN) has attracted the attention of researchers. In the field of natural language process (NLP), the results of graph embedding based on GCN are automatically clustered in space without any training, which means that text data can be classified just by the embedding process based on GCN. Previously, other methods required training with the help of labeled data after embedding to complete data classification. With the help of the GCN auto-clustering feature and labeled data, this research proposes an approach to detect XSS attacks (called GCNXSS) to mine the dependencies between the units that constitute an XSS payload. First, GCNXSS transforms a URL into a word homogeneous graph based on word co-occurrence relationships. Then, GCNXSS inputs the graph into the GCN model for graph embedding and gets the classification results. Experimental results show that GCNXSS achieved successful results with accuracy, precision, recall, F1-score, FNR, FPR, and predicted time scores of 99.97%, 99.75%, 99.97%, 99.86%, 0.03%, 0.03%, and 0.0461ms. Compared with existing methods, GCNXSS has a lower FNR and FPR with stronger generalization ability.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.275-286
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• 2022

The metaverse platform has been gaining popularity since the pandemic. It facilitates non-face-to-face interaction among creators, users, advertisers, various forms of organizations, and itself. Such interaction has brought light to the new forms of economy, which is called the "creator economy." By providing the virtual space, easy tools, and methods, the platform allows the creators to produce value for the users in the forms of virtual items, content, and experiences. At the same time, it provides audiences to the organizations that need attention. In the course, the platform and the creators generate revenue. Among the diverse revenue sources, this study focuses on revenue generated from advertising and studies how the revenue sharing between the platform and the creator is affected by the abilities of the metaverse platform. With an analysis of the analytical model, we show that if the platform has the ability to reduce advertising avoidance, it can reduce the revenue share of the creator without discouraging the creator from making the proper effort in content creation. Also, as the platform provides effective tools and methods for quality content creation, it can reduce the revenue share of the creator without damaging the creator's required motivation. The ability of the platform in increasing advertising effectiveness helps it to reduce the revenue share of the creator as well.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.995-1003
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• 2021

As the need for artificial intelligence (AI) education, which will become the core of the upcoming intelligent information society rises, the national level is also focusing attention by including artificial intelligence-related content in the curriculum. In this study, the PASPA education program was presented to enhance students' creative problem-solving ability in the process of solving problems in daily life through supervised machine learning. And Micro:bit, a physical computing tool, was used to enhance the learning effect. The teaching and learning process applied to the PASPA education program consists of five steps: Problem Recoginition, Argument, Setting data standard, Programming, Application and evaluation. As a result of applying this educational program to students, it was confirmed that the creative problem-solving ability improved, and it was confirmed that there was a significant difference in knowledge and thinking in specific areas and critical and logical thinking in detailed areas.

• Microbiology and Biotechnology Letters
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• v.50 no.4
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• pp.501-507
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• 2022

PET (Polyethylene terephthalate), a representative plastic material, has useful physicochemical properties such as high durability and economic feasibility, and is used in various industrial fields such as bottles, fibers, and containers. Due to the recent increase in plastic usage including disposable products, eco-friendly strategy using microorganisms have drawn attention differentiated from conventional landfill and incineration methods. In this study, a soil-derived Streptomyces javensis Inha503 containing a PETase gene was selected and the ability to hydrolyze PU (Polyurethane) was confirmed through agar plate diffusion assay. This strain was cultured with PET for a month, and PET decomposition ability was also confirmed through a scanning electron microscope. Moreover, cloning and heterologous expression of S. javensis Inha503 PETase gene exhibited PET activity in the PETase non-containing S. coelicolor, confirming for the first time the presence of functional PETase gene in Streptomyces species.