• Molecules and Cells
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• v.43 no.12
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• pp.989-1001
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• 2020

Salmonella enterica serovar Typhimurium (S. Typhimurium) is a facultative intracellular pathogen that causes salmonellosis and mortality worldwide. S. Typhimurium infects macrophages and survives within phagosomes by avoiding the phagosome-lysosome fusion system. Phagosomes sequentially acquire different Rab GTPases during maturation and eventually fuse with acidic lysosomes. Lysophosphatidylcholine (LPC) is a bioactive lipid that is associated with the generation of chemoattractants and reactive oxygen species (ROS). In our previous study, LPC controlled the intracellular growth of Mycobacterium tuberculosis by promoting phagosome maturation. In this study, to verify whether LPC enhances phagosome maturation and regulates the intracellular growth of S. Typhimurium, macrophages were infected with S. Typhimurium. LPC decreased the intracellular bacterial burden, but it did not induce cytotoxicity in S. Typhimurium-infected cells. In addition, combined administration of LPC and antibiotic significantly reduced the bacterial burden in the spleen and the liver. The ratios of the colocalization of intracellular S. Typhimurium with phagosome maturation markers, such as early endosome antigen 1 (EEA1) and lysosome-associated membrane protein 1 (LAMP-1), were significantly increased in LPC-treated cells. The expression level of cleaved cathepsin D was rapidly increased in LPC-treated cells during S. Typhimurium infection. Treatment with LPC enhanced ROS production, but it did not affect nitric oxide production in S. Typhimurium-infected cells. LPC also rapidly triggered the phosphorylation of IκBα during S. Typhimurium infection. These results suggest that LPC can improve phagosome maturation via ROS-induced activation of NF-κB pathway and thus may be developed as a therapeutic agent to control S. Typhimurium growth.

• PNF and Movement
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• v.10 no.1
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• pp.53-59
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• 2012

Purpose : This thesis aims to explore sports physical therapist program of university of education of korea and usa for the whole process of becoming sports physical therapist and provide better education programs for cultivating sports physical therapist in the future. Methods : This thesis education programs of physical therapy department in Korea and 3 universities in east california region were selected with recommendation of a professional on sports physical therapist in USA. for the purpose of this study, curriculum of physical education department at school of education was analyzed using internet survey, phone survey, visitor survey and examination of hand book in korea. in usa, homepage, internet survey, e-mail and examination of handbook were used to analyze the data. Results : First, the results of this study can be summarized as follows: second, In comparison of required subjects and selective subject of physical therapy education in Korea and USA, Korea presents the least required subjects for major while USA offer more required subjects for majors. Korea puts focus on education practice while USA offers initial field experience and education practice well connected and organized systematically. Third, comparison of system of professional sports physical therapist, Korea did not establish system of a professional sports physical therapist, USA systematically established system of a professional sports physical therapist. Conclusion : On the basis Professional physical therapist, PNF association has to need to study hardly about special therapist.

• Journal of Advanced Navigation Technology
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• v.25 no.3
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• pp.223-228
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• 2021

In this paper, we proposed a slot-type antenna with microstrip feed embedded in a PCB for Zigbee communication (2.4 ~ 2.484 GHz). The proposed antenna is designed on a FR-4 substrate with dielectric constant 4.3, thickness of 1.6 mm, and size of 50×65 mm². Through simulations, trends of design parameters are analyzed and optimized, and the proposed antenna composed with three slots satisfy the frequency band. The measured impedance bandwidths (|S₁₁| ≤ -10 dB) of fabricated antenna are 900 MHz (2 ~ 2.9 GHz) in Zigbee frequency band. In addition, the radiation pattern showed omnidirectional characteristics for E and H-planes, and the gain of antenna in Zigbee frequency band was 1.782 dBi.

• Journal of the Korean institute of surface engineering
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• v.53 no.6
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• pp.285-292
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• 2020

Ancient cultural heritage made up of wood and organic fibers have been easily disintegrated or decomposed by various microorganisms like bacteria and fungi. Here, we demonstrate the effectiveness of an atmospheric pressure plasma jet (APPJ) system to sterilize the microorganisms in tangible cultural heritage. We collected several specimens from the surface of ancient documents and wooden artifacts. Finally, two bacteria and two fungi were prepared and sterilized using the APPJ treatment. The APPJ system is beneficial to its simple apparatus, quick operation time, and cost-effectiveness. Bacteria were almost sterilized within only 1 min treatment using 15 % O2 and applied bias voltage of 100 V. In case of the fungi, sterilization rate reached over 83 % but difficult to reach over 90 % even 10 min treatment. According to the plasma diagnostics using optical emission spectroscopy, it was found that the reactive oxygen species such as OH groups are critical for sterilization of microorganisms. Although further efforts should be performed, we believe that efficient sterilization could be realized by the simple, quick, and portable APPJ treatment system.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.89-113
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• 2021

This research empirically analyzes the effect of internal marketing in public libraries on the quality of work life of public library librarians. To this end, a 59-day survey of incumbent librarians working at public libraries in Seoul was conducted on Naver Form from July 25, 2020, and 120 respondents were conducted using IBM SPSS 25, a statistical program, to conduct factor analysis, reliability analysis, frequency analysis, correlation analysis, and multiple regression analysis. Research has shown that internal marketing of public libraries has a positive effect on the quality of librarians' work life. As a way to improve internal marketing in public libraries, it was suggested to prepare a systematic and sustainable internal marketing system, recognize experiences and compensate highly educated librarians, improve the compensation system of librarians, and promote an internal marketing system centered on supporting management and delegation.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.4
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• pp.375-382
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• 2021

For stable cultivation in double cropping, it is important to use potato (Solanum tuberosum L.) cultivars with a short dormancy period of 50-70 days and plant seed tubers of appropriate type and size. An experiment was conducted during 2018-2019 to investigate the effects of seed tuber type and size on growth and yield performance in double cropping. Whole tubers of three sizes (10-20 g, 30-40 g, and 50-60 g) and conventional cut tubers weighing 30-40 g from three cultivars with different dormancy periods, namely 'Daeji' (40-60 days), 'Eunsun' (50-60 days), and 'Saebong' (50-80 days), were planted, and their field performance was compared. Regardless of the cultivar, the increase in the whole tuber weight up to 30-40 g led to fast emergence, thereby increasing ground cover rate, shoot growth rate, and tuber growth rate, which ultimately improved tuber yield by 33-54%. Comparing the whole and cut tubers, 'Daeji' and 'Eunsun' showed similar growth and yield performance; as such, the performance of whole tubers weighing 10-20 g was comparable to that of cut tubers weighing 30-40 g. However, 'Saebong', a cultivar with relatively long dormancy period, performed better with cut tuber than with whole tubers. Based on these results, we recommend the use of whole tubers weighing over 30 g for double cropping. Further studies to break tuber dormancy are warranted in cultivars with relatively long dormancy periods (50-80 days), such as 'Saebong'.

• Nuclear Engineering and Technology
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• v.54 no.7
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• pp.2418-2426
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• 2022

The grouping analysis is a method guided by the Korea Radioactive Waste Agency for efficient analysis of radioactive waste for disposal. In this study, experiments to verify the adequacy of grouping analysis were conducted with radioactive soil, concrete, and dry active waste in similar environments. First, analysis results of the major radionuclide concentrations in individual waste samples were reviewed to evaluate whether wastes from similar environments correspond to a single waste stream. As a result, the soil and concrete waste were identified as a single waste stream because the distribution range of radionuclide concentrations was "within a factor of 10", the range that meet the criterion of the U.S. Nuclear Regulatory Commission for a single waste stream. On the other hand, the dry active waste was judged to correspond to distinct waste streams. Second, after analyzing the composite samples prepared by grouping the individual samples, the population means of the values of "composite sample analysis results/individual sample analysis results" were estimated at a 95% confidence level. The results showed that all evaluation values for soil and concrete waste were within the set reference values (0.1-10) when five-package and ten-package grouping analyses were conducted, verifying the adequacy of the grouping analysis.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.583-598
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• 2022

This study is a follow-up study of the Social Media Emotional Contagion(SECS) and it aims to validate the Social Media Emotional Contagion Scale(SECS) through CFA and criterion-related validity. The data was collected from 326 people in 20s. The criterion-related validity of SECS were confirmed with the Korean version of the Emotional Contagion Scale(K-ECS), the Basic Empathy Scale in Adult(BES-A), and the Rosenberg Self-esteem Scale(SES). As a result, the K-ECS and sub-factor of Emotional Contagion of BES-A, which are the same as the construction of SECS, converged. Other scales were differentiated from SECS. However, sub-factor of SES of positive self-esteem, which are the same as the construction of SECS, converged. Also, sub-factor of SES of negative self-esteem, which are the same as the construction of SECS of negative Emotional Contagion, converged. Finally, the significance and limitations of this study and future studies were discussed.

• The Plant Pathology Journal
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• v.38 no.3
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• pp.194-202
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• 2022

Erwinia amylovora and Erwinia pyrifoliae cause fire blight and black-shoot blight, respectively, in apples and pears. E. pyrifoliae is less pathogenic and has a narrower host range than that of E. amylovora. Fire blight and black-shoot blight exhibit similar symptoms, making it difficult to distinguish one bacterial disease from the other. Molecular tools that differentiate fire blight from black-shoot blight could guide in the implementation of appropriate management strategies to control both diseases. In this study, a primer set was developed to detect and distinguish E. amylovora from E. pyrifoliae by conventional polymerase chain reaction (PCR). The primers produced amplicons of different sizes that were specific to each bacterial species. PCR products from E. amylovora and E. pyrifoliae cells at concentrations of 10⁴ cfu/ml and 10⁷ cfu/ml, respectively, were amplified, which demonstrated sufficient primer detection sensitivity. This primer set provides a simple molecular tool to distinguish between two types of bacterial diseases with similar symptoms.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.35 no.2
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• pp.134-142
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• 2022

As industry and technology go through advancement, it is hard to search new materials which satisfy various standards through conventional trial-and-error based research methods. Crystal Graph Convolutional Neural Network(CGCNN) is a neural network which uses material's features as train data, and predicts the material properties(formation energy, bandgap, etc.) much faster than first-principles calculation. This report introduces how to train the CGCNN model which predicts the formation energy using open database. It is anticipated that with a simple programming skill, readers could construct a model using their data and purpose. Developing machine learning model for materials science is going to help researchers who should explore large chemical and structural space to discover materials efficiently.