Kwon, Yejin;Jeon, Inho;On, Noori;Seo, Jerry H.;Lee, Jongsuk R.
Journal of Internet Computing and Services
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v.21
no.6
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pp.123-132
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2020
The EDucation-research Integration through Simulation On the Net (EDISON) platform, which is a web-based platform that provides computational science and engineering simulation execution environments, can offer various analysis environments to students, general users, as well as computational science and engineering researchers. To expand the user base of the simulation environment services, the EDISON platform holds a challenge every year and attempts to increase the competitiveness and excellence of the platform by analyzing the user requirements of the various simulation environment offered. The challenge platform system in the field of computational science and engineering is provided to users in relation to the simulation service used in the existing EDISON platform. Previously, EDISON challenge servicesoperated independently from simulation services, and hence, services such as end-user review and intermediate simulation results could not be linked. To meet these user requirements, the currently in-service challenge platform for computational science and engineering is linked to the existing computational science and engineering service. In addition, it was possible to increase the efficiency of service resources by providing limited services through various analyses of all users participating in the challenge. In this study, by analyzing the simulation and usage environments of users, we provide an improved challenge platform; we also analyze ways to improve the simulation execution environment.
Background: The purpose of this study is to analyze whether there is a change in patterns of medical use among those likely to be converted their health insurance qualifications when the family support rule is alleviated. There is no empirical analysis that converting health insurance qualification will affect the increase in medical use. Methods: For analysis, data were extracted from the national health insurance eligibility and medical care database. To identify analysis targets similar to that of medical aids' characteristics among health insurance coverage, we compared income, property level, and medical use patterns through basic statistical analysis and used a difference-in-difference (DID) analysis to estimate the net effect of changes in medical use following the change of qualifications. Results: The main results are as follows. The results show that those who are under the 5% income group (1st income group) of health insurance coverage are the most similar to the medical aids group. DID analysis shows that changes in the medical use of people who maintain their national insurance qualification and who are not. As a results, the number of hospitalized days of converting group was reduced by 3.5 days while outpatient days were increased by 1.8 days. Conclusion: As a result, there was not much difference in the patterns of medical use for the under 5% income group who are likely to be eligible for expanded medical aids when the family support rule is alleviated. In addition, more than 30% of them are in arrears with their health insurance premiums, causing inconvenience in using medical services. These findings suggest the need of abolishing the criteria obligated to support family, and great efforts should be made to contribute to non-paid poor and remove their medical blind spot.
The tidal channel is a coastal sedimentary terrain that plays the most important role in the formation and development of tidal flats, and is considered a very important index for understanding and distribution of tidal flat sedimentation/erosion terrain. The purpose of this study is to understand the changes in tidal channels by a period after the opening of the floodgate of the seawall in the reclaimed land of Sihwa Lake using KOMPSAT high-resolution multispectral satellite image data and to evaluate the applicability and efficiency of high-resolution satellite images. KOMPSAT 2 and 3 images were used for extraction of the tidal channels' lineaments in 2009, 2014, and 2019 and were applied to supervised classification method based on Principal Component Analysis (PCA), Artificial Neural Net (ANN), Matched Filtering (MF), and Spectral Angle Mapper (SAM) and band ratio techniques using Normalized Difference Water Index (NDWI) and MF/SAM. For verification, a numerical map of the National Geographic Information Service and Landsat 7 ETM+ image data were utilized. As a result, KOMPSAT data showed great agreement with the verification data compared to the Landsat 7 images for detecting a direction and distribution pattern of the tidal channels. However, it has been confirmed that there will be limitations in identifying the distribution of tidal channels' density and providing meaningful information related to the development of the sedimentary process. This research is expected to present the possibility of utilizing KOMPSAT image-based high-resolution remote exploration as a way of responding to domestic intertidal environmental issues, and to be used as basic research for providing multi-platform-image-based convergent thematic maps and topics.
Kim, Ji-Hyeon;Kim, Hyang-Soo;Kim, Gun-Hee;Kim, Min-Ju;Kim, Yoon-Sun;Kim, Jung-Won;Nam, Kyung-Min
Journal of the Korean Applied Science and Technology
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v.38
no.1
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pp.157-167
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2021
This study is a descriptive research study to find out the relationship between degree of Self-Esteem, Anger-Out, Anger-In, Anger-Control and SNS Addiction Tendency of high school students, and the factors that influence SNS addiction tendency. For a total of 10 days from May 18 to 28, 2020, a total of 100 people were collected using online questionnaires to those who were attending high schools in S and G regions and using SNS. As a result of the study, SNS addiction tendency and self-esteem(r=.385, p<.001), anger-control(r=-.354, p<.001) showed a normal inverse correlation, and an anger-out (r=.321, p=.001), anger-in (r=308, p=.002) showed a common net correlation. Factors affecting SNS addiction tendencies were self-esteem(β=-.297, p=.001), gender(β=.266, p=.003), and anger-out(β=.247, p=.007), with 27.7% explanatory power in the regression model(F=12.279, p<.001). Therefore, it is necessary to develop programs to increase high school students' self-esteem and lower their anger-out in order to reduce SNS addiction tendencies, especially for female high school students in gender.
Kim, Byung-Yeob;Joo, Hye-Min;Lee, Chang-Heon;Kim, Kwang-Il
Journal of the Korean Society of Marine Environment & Safety
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v.27
no.1
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pp.81-87
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2021
Many merchant ships sail in the waters surrounding Jeju Island and many fishing vessels catch fish using gill nets, trolling lines, and so on. Meanwhile, marine waste has collected in the coastal waters of Jeju Island. However, there has been little research on the collection of marine waste in coastal waters. In this study, marine waste deposited in Jeju Island's northwest sea was collected using Jeju National University's training ship, and related vessels were analyzed for each gear type. According to the results, most coastal waters had abandoned fishing grounds, which were from fishing vessels, and a large proportion of them was gill net and trap fishing gear. To analyze how much marine waste is accumulating in a certain area and ship's stay time, we use automatic identification system (AIS) data to extract the time spent in the target sea, and the amount of marine waste per hour was analyzed in a unit distance of 1 ㎢. The average amount of marine waste generated per hour in the unit area was found to be 0.94 kg for gillnet fishing gear, 3.49 kg for trap fishing gear, 0.10 kg for trawl fishing gear, 0.11 kg for longline fishing gear, and 0.02 kg for other fishing gear.
Journal of The Korean Association For Science Education
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v.41
no.3
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pp.221-235
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2021
The purpose of this study is to investigate the learning effects according to the level of Science State Curiosity (SSC) and Science State Anxiety (SSA) in science learning situation for 5th~6th grade elementary school students. To achieve this purpose, we measured and analyzed SSC and SSA in each learning situation by dividing science learning into three situations: Confronting scientific task (I), Checking the results (II), and Learning science concepts (III). In order to identify the net effects of SSC and SSA on learning effects, science curiosity, need for cognition, science self-concept, science anxiety, and interest, which were expected to affect the learning effects, were controlled. SSC and SSA in the situation of confronting scientific tasks were defined as 'SSCI' and 'SSAI,' SSC and SSA in the situation of checking the results were defined as 'SSCII' and 'SSAII,' and SSC and SSA in the situation of learning science concepts were defined as 'SSCIII' and 'SSAIII.' In addition, the learning effects were divided into post-learning effect and delayed post-learning effect, and the degree of improvements in the post- or delayed post-test scores compared to the pre-test score were calculated and analyzed. As a result of the analysis, SSCI·SSCII had a positive effect on the post- and the delayed post-learning effect, but SSAIII had a negative effect on the post- and delayed post-learning effect, SSAI·SSAII had a negative effect on the post-learning effect. SSC had a greater effect on learning effects than SSA, and SSCII had the most influence on the post-learning effect and SSCI had the most influence on the delayed post-learning effect. As SSCIII increased, there was a tendency to do additional voluntary learning. The results of this study are expected to broaden the understanding of students' emotional states in science learning and provide a theoretical foundation for studies of state curiosity and state anxiety.
Kim, Youlim;Lee, Hyeonkyeong;Lee, Hyeyeon;Lee, Mikyung;Kim, Sookyung;Kennedy, Diema Konlan
Research in Community and Public Health Nursing
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v.32
no.4
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pp.430-444
/
2021
Purpose: This study is an integrated literature review to analyze health problems and social determinants of multicultural adolescents in South Korea. Methods: An integrative review was conducted according to Whittemore & Knafl's guideline. An electronic search that included publications from 2018 to 2020 in the PubMed, EMBASE, Cochrane Library, CINAHL, RISS, and KISS databases was conducted. Of a total of 67 records that were identified, 13 finally met full inclusion criteria. Text network analysis was also conducted to identify keywords network trends using NetMiner program. Results: The health problems of multicultural adolescents were classified into mental health (depression, anxiety, suicide and acculturative stress) and health risk behaviors (smoking, risky drinking, smartphone dependence and sexual behavior). As social determinants affecting the health of multicultural adolescents, the biological factors such as gender, age, and visible minority, and the psychological factors such as acculturative stress, self-esteem, family support, and ego-resiliency were identified. The sociocultural factors were identified as family economic status, residential area, parental education level, and parents' country of birth. As a result of text network analysis, a total of 41 words were identified. Conclusion: Based on these results, mental health and health risk behaviors should be considered as interventions for health promotion of multicultural adolescents. Our findings suggest that further research should be conducted to broaden the scope of health determinants to account for the effects of the physical environment and health care system.
Yim, Sunjin;Kim, Sungchul;Kim, Inhwan;Park, Jae-Woo;Cho, Jin-Hyoung;Hong, Mihee;Kang, Kyung-Hwa;Kim, Minji;Kim, Su-Jung;Kim, Yoon-Ji;Kim, Young Ho;Lim, Sung-Hoon;Sung, Sang Jin;Kim, Namkug;Baek, Seung-Hak
The korean journal of orthodontics
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v.52
no.1
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pp.3-19
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2022
Objective: The purpose of this study was to investigate the accuracy of one-step automated orthodontic diagnosis of skeletodental discrepancies using a convolutional neural network (CNN) and lateral cephalogram images with different qualities from nationwide multi-hospitals. Methods: Among 2,174 lateral cephalograms, 1,993 cephalograms from two hospitals were used for training and internal test sets and 181 cephalograms from eight other hospitals were used for an external test set. They were divided into three classification groups according to anteroposterior skeletal discrepancies (Class I, II, and III), vertical skeletal discrepancies (normodivergent, hypodivergent, and hyperdivergent patterns), and vertical dental discrepancies (normal overbite, deep bite, and open bite) as a gold standard. Pre-trained DenseNet-169 was used as a CNN classifier model. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis, t-stochastic neighbor embedding (t-SNE), and gradient-weighted class activation mapping (Grad-CAM). Results: In the ROC analysis, the mean area under the curve and the mean accuracy of all classifications were high with both internal and external test sets (all, > 0.89 and > 0.80). In the t-SNE analysis, our model succeeded in creating good separation between three classification groups. Grad-CAM figures showed differences in the location and size of the focus areas between three classification groups in each diagnosis. Conclusions: Since the accuracy of our model was validated with both internal and external test sets, it shows the possible usefulness of a one-step automated orthodontic diagnosis tool using a CNN model. However, it still needs technical improvement in terms of classifying vertical dental discrepancies.
This study analyzed the index change in efficiency and productivity for the tax reorganization project of the regional headquarters of Korea Asset Management Corporation using panel data for 3 years from 2017 to 2019 using the DEA-Malmquist analysis model. According to the DEA analysis result, the average of the efficiency by the CCR model of the regional headquarters tax reorganization project of the Korea Asset Management Corporation was 0.671 in 2017, 0.772 in 2018, and 0.699 in 2019, and the average of the efficiency by the BCC model was 0.798 in 2017, 0.851 in 2018 and 0.771 in 2019. As a result of analyzing the Malmquist productivity index, the time series average productivity index MPI increased by 4.5%. These results appear to be attributable to the increase in technological efficiency, technological change, and scale-efficiency change rather than the decrease in net efficiency change. Looking at the change in MPI by year, it decreased by 14.6% in 2017-2018, but increased significantly to 27.8% in 2018-2019. Through the results of DEA analysis of specific tax projects of public corporations, each regional headquarters of Korea Asset Management Corporation will be able to contribute to reinforcing business capabilities through mutual benchmarking.
In this study, composites containing undoped and barium-doped Bi2WO6:Ba2+were investigated for their shielding against diagnostic X-ray. At first, Bi2WO6 and barium-doped Bi2WO6 were synthesized with different weight percentages of barium oxide through a hydrothermal process. The as-synthesized nanostructures were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) and Raman spectroscopy (RS). After that, some shields were generated with undoped and barium-doped Bi2WO6:Ba2+ nanostructure particles incorporated into polyvinyl chloride (PVC) polymer with different thicknesses and 15% weight of the nanostructure. Finally, the prepared samples were exposed to an X-ray tube at 40, 80, and 120 kV voltages, 10 mAs and, 44.5 cm SID (i.e. the distance from the X-ray beam source to the specimen). Linear and mass attenuation coefficients were also calculated for different samples. The results indicated that, among the samples, the one with 7.5 mmol barium-doped Bi2WO6 had the most attenuation at the voltage of 40kV, and the attenuation coefficients would increase with an increase in the amount of barium. The samples with 15 and 17.5 mmol barium-doped Bi2WO6 had higher attenuation than the others at 80 and 120 kV. Moreover, the half-value layer (HVL), tenth-value layer (TVL) and 0.25 mm lead equivalent thickness were calculated for all the samples. The lowest HVL value was for the sample with 7.5 mmol barium-doped Bi2WO6. As the result clearly show, an increment in the barium-doping content leads to a decrease in both HVL and TVL. In every three voltages, 0.25 mm lead equivalent thickness of the barium-doped composites (7.5 mmol and 15 mmol) had less than the other composites. The lowest value of 0.25 mm lead equivalent thickness was 7.5 barium-doped in 40 kV voltage and 15 mmol barium-doped in 80 kV and 120 kV voltages. These results were obtained only for 15% weight of the nanostructure.
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