• KOREAN JOURNAL OF CROP SCIENCE
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• v.67 no.2
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• pp.111-120
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• 2022

Improving flour quality is one of the major targets of wheat breeding programs. This study determined the optimum high-molecular-weight glutenin subunits (HMW-GS) to improve flour quality, and analyzed the correlation between agronomic and quality traits in Korea. A total of 180 wheat varieties, including 55 Korean and 125 foreign cultivars, carrying various Glu-1 alleles, were evaluated for their quality and agronomic traits. Results indicated that Glu-A1b, Glu-B1b, and Glu-D1f were the most prevailing alleles for each Glu-1 locus for Korean wheat cultivars. Korean wheat cultivars recorded shorter days to heading (DTH) and longer days to maturity (DTM) compared to foreign cultivars. In addition, an interaction effect was found between Glu-A1 and Glu-B1 alleles on several quality parameters. The combination of Glu-A1c and Glu-B1i showed a higher protein content, dry gluten content, and higher sodium dodecyl sulfate (SDS) sedimentation value than other Glu-A1×Glu-B1 combinations. Cultivars carrying Glu-A1a or Glu-A1b, Glu-B1i or Glu-B1al, and Glu-D1d for each Glu-1 locus exhibited a longer mixing time and stronger mixing tolerance. The DTM positively correlated with the protein content, gluten index and SDS sedimentation value. However, a negative correlation was observed between DTH and quality traits. Owing to the above results, this study suggests that an increase in the frequency of Glu-B1i or Glu-B1al, Glu-D1d coupled with a short DTH and long DTM could significantly improve wheat quality properties.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.231-241
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• 2021

This study intended to present strategies and implications for attracting new students and customized education to university officials through research on the participation of workers' academic aspirations in university education. Thus, variables were derived by analyzing prior data, and causal settings between variables and questionnaires were developed. Subject to the survey, 331 workers interested in participating in university education were collected through interpersonal interviews. The collected data were dataized, and reliability and feasibility verification and frequency analysis were conducted. Finally, we validate the fit of the structural equation model and the causal relationship for each concept. Therefore, the results of the validation show the following implications. First, university officials should be motivated by a mentor and mentee system with experienced people who have switched to a suitable vocational group through university education. It will also be necessary to develop and disseminate programs so that they can continue to develop themselves for the future. To this end, it will be necessary to help them understand their aptitude and strengths through consultation with experts. Second, university officials should strengthen public relations so that prospective students can know the cases and information of the job transformation of the admitted workers through recommendations. It will also be necessary to develop university education programs that can self-develop, accept various ideas through "public contest", and provide accurate information about university education to workers through re-processing. Third, university officials should provide workers with a program that allows them to catch two rabbits: job transformation and self-improvement through university education. In other words, it is necessary to stimulate the motivation of workers by providing various information such as visiting advanced overseas companies, obtaining various certificates, moving between departments of blue-collar and white-collar, and transfer opportunities. Fourth, university officials should actively promote university education programs related to this by participating in university education and receiving systematic education and the flow of social environment. Finally, university officials will need to consult and promote workers so that they can self-develop when they participate in college education, and they will have to figure out what they need for self-development through demand surveys and analysis.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.6
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• pp.853-865
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• 2022

In this study, from August to October 2019, we conducted a survey of the spatial distribution and dominant species of macrobenthos on the rocky intertidal zones of 38 specified islands distributed along the southern coast of Korea. On the basis of observation made using 50 × 50 cm quadrats, we identified a total of 80 species, among which, Mollusca were the most abundant fauna, with 54 species that accounted for 67.4% of the total, followed by Crustacea with 15 species (18.7%). The recorded numbers of Cnidaria, Porifera, and Echinodermata species ranged from 1 to 6. In terms of the regional patterns of species richness, specified islands in Yeosu were found to be the most species rich, supporting 61 species, whereas islands in Hadong, Namhae, and Chujado were found to have a similar level of species richness, ranging from 42 to 46 species. Islands in Boseong and Goheung were home to the fewest species, with only 29 species being recorded. At the sampling station scale, we noted a considerable difference in faunal richness, ranging from 6 (St. 6) to 33 (St. 20) species. Among the recorded species, Echinolittorina radiata was identified as the dominant species on 15 specified islands, with the next most abundant species being Tetraclita japonica, considered an indicator species of climate change, which was recorded on 11 islands. In terms of frequency, E. radiata, found on 36 islands, was identified as the most frequently occurring species, followed by Reishia clavigera (30 islands), Mytilisepta virgata (29), Nerita japonica (28), Ligia. exotica (27), and Littorina brevicula (26). Of the 80 species identified, 9, 4, and 2 species of Mollusca, Crustacea, and Cnidaria, respectively, are classified as Marine fauna of accepted foreign export, whereas 50 are Red List species, 44 are species of Least Concern, 3 are Data Deficient species, and 1 species was not evaluated. However, during the survey, we found no Near Threatened or Not Applicable species. On the basis of the findings of this survey, it would appear that the abundance and richness of macrobenthic fauna inhabiting the rocky intertidal zones of specified islands along the southern coast of Korea differ according to different habitat conditions, particularly with respect to the duration of exposure and the extent and properties of the substrata. The findings of this study will provide baseline data for future monitoring and management of specified islands in Korea.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1723-1735
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• 2022

Landslides are one of the most prevalent natural disasters, threating both humans and property. Also landslides can cause damage at the national level, so effective prediction and prevention are essential. Research to produce a landslide susceptibility map with high accuracy is steadily being conducted, and various models have been applied to landslide susceptibility analysis. Pixel-based machine learning models such as frequency ratio models, logistic regression models, ensembles models, and Artificial Neural Networks have been mainly applied. Recent studies have shown that the kernel-based convolutional neural network (CNN) technique is effective and that the spatial characteristics of input data have a significant effect on the accuracy of landslide susceptibility mapping. For this reason, the purpose of this study is to analyze landslide vulnerability using a pixel-based deep neural network model and a patch-based convolutional neural network model. The research area was set up in Gangwon-do, including Inje, Gangneung, and Pyeongchang, where landslides occurred frequently and damaged. Landslide-related factors include slope, curvature, stream power index (SPI), topographic wetness index (TWI), topographic position index (TPI), timber diameter, timber age, lithology, land use, soil depth, soil parent material, lineament density, fault density, normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were used. Landslide-related factors were built into a spatial database through data preprocessing, and landslide susceptibility map was predicted using deep neural network (DNN) and CNN models. The model and landslide susceptibility map were verified through average precision (AP) and root mean square errors (RMSE), and as a result of the verification, the patch-based CNN model showed 3.4% improved performance compared to the pixel-based DNN model. The results of this study can be used to predict landslides and are expected to serve as a scientific basis for establishing land use policies and landslide management policies.

• Journal of Korean Home Economics Education Association
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• v.34 no.3
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• pp.133-148
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• 2022

This study aims to explore the status and motives for using avatars and digital fashion items in the metaverse and to examine consumers' purchase satisfaction and future purchase intentions. We intend to provide implications for the development of avatars and fashion items, and the direction of the fashion industry and clothing education. For this purpose, the purchasing status, consumer motives for using avatars and digital fashion items, purchase satisfaction, and future purchase intentions were investigated, through a survey with 149 consumers aged 19 years or older, with the experience of using avatars. The results are as follows. First, the percentage of avatar ownership was high among women aged between 19 and 29, and those with low or high incomes. The younger group was more likely to make mobile phone purchases than the older group, and the older group was more likely to use credit cards. Even those respondents who owned avatars did not purchase frequently or spent a lot on items. On the other hand, in the case of fashion item purchases, the group spending more than 8,000 won was aged between 19 and 29, and the frequency and amount of purchases increased as income increase. Second, among the motives for using avatars and fashion items, the pursuit of pleasure had the greatest influence, and men paid more attention to self-expression through avatars than women. Third, the motive for vicarious satisfaction influenced purchase satisfaction, and the factors that influenced future purchase intention were vicarious satisfaction and stress relief. The results of this study suggests that avatars and fashion items should be developed considering factors that can relieve stress for all age groups, create a sense of unity among metaverse users, and provide satisfaction in a virtual world that is different from reality. In addition, education on how to use fashion items and consumption attitudes in education related to clothing life will be required.

• Journal of the Korean Orthopaedic Association
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• v.56 no.5
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• pp.391-397
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• 2021

Purpose: Tranexamic acid (TXA) can reduce perioperative blood loss and the frequency of blood transfusions in lower extremity surgery. On the other hand, the effects of TXA on reverse total shoulder arthroplasty (rTSA) remain undetermined. This study evaluated the efficacy of TXA on perioperative blood loss, transfusion requirements, and the change in the hemotologic index. Materials and Methods: This study evaluated patients who underwent rTSA from September 2009 to July 2020. The patients were classified into two groups. The TXA group were administered TXA intravenously and topical TXA during surgery. The non-TXA group was not administered TXA. The quantity of hemovac drainage, which represented the postoperative blood loss, transfusion requirements, and postoperative change in hemoglobin and hematocrit level, were recorded. Results: The TXA and non-TXA groups consisted of 93 and 84 patients, respectively. The preoperative demographics showed no significant differences in age (72.0±7.0 vs. 71.5±5.8, p=0.656), sex (male:female, 28:65 vs. 23:61, p=0.689) and the prevalence of hypertension and diabetes (hypertension:diabetes:both, 36:3:13 vs. 32:3:8, p=0.806) between the two groups. There were significant differences in the requirements of transfusion (0 vs. 9, p=0.001), hemovac drainage at the 1^st (98.8±61.2 ml vs. 162.7±98.8 ml, p<0.001), the 2^nd postoperative day (73.8±48.4 ml vs. 91.5±54.5 ml, p=0.024), hemoglobin level at the 1^st (11.7±1.2 g/dl vs. 11.2±1.4 g/dl, p=0.048), 3^rd (10.9±1.2 g/dl vs. 10.2±1.2 g/dl, p<0.001), and 6^th (11.2±1.3 g/dl vs. 10.7±1.3 g/dl, p=0.020) postoperative day, and the hematocrit level at the 1^st (35.0%±3.6% vs. 32.5%±3.8%, p=0.001), 3^rd (32.3%±5.0% vs. 29.8%±3.6%, p<0.001), and 6^th (33.5%±3.8% vs. 31.5%±3.7%, p<0.001) postoperative day between the two groups. Conclusion: Intravenous and topical intra-articular TXA can reduce the transfusion requirement and blood loss in rTSA.

• Journal of the Korean Orthopaedic Association
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• v.55 no.5
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• pp.383-396
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• 2020

Purpose: This study compared the injury mechanism, site, type, initial management approach of orthopedic injury, and outcomes according to the injury severity in moderate-to-severe injured patients. Materials and Methods: During 57-month, excluding the period when the authors' emergency/trauma center was not operating, from 2014 to 2019, a retrospective study was conducted on 778 patients with orthopedic injuries among patients with an Injury Severity Score (ISS)>9 scored. The patients were classified into moderate-injured group (group-1, 679) and severe-injured group (group-2, 99) according to the injury severity based on the ISS and physiologic parameters. The injury mechanism and non-orthopedic injury were evaluated. Orthopedic injuries were assessed according to the injury pattern and the number of anatomical regions and bone sites involved. The management approach for the orthopedic injuries in two groups was compared. Outcomes (hospital stay, systemic complications, and in-hospital mortality) were evaluated, and the risk factors for mortality were analyzed. Results: In group-2, the incidence of younger males, high-energy mechanisms, and accompanying injuries was significantly higher than in group-1. The number of anatomical regions and bone sites involved increased in group-2. The involvement of the pelvis, spine, and upper extremity was significantly higher in group-2, whereas group-1 was involved mainly by the lower extremities. Depending on the patient's condition, definitive or staged management for orthopedic injuries may be used. Group-1 was treated mainly with definite fixation after the physiological stabilization process, and group-2 was treated with staged management using temporary external fixation. The hospital stay was significantly longer in group-2. The overall systematic complications and in-hospital mortality was approximately 4.9% and 4.5%. A higher injury severity was associated with higher in-hospital mortality (2.9%, 15.2%; p<0.0001). Increasing age and high ISS are independent risk factors for mortality. Conclusion: A higher severity of injury was associated with a higher incidence of high-energy mechanism, younger, male, accompanying injuries, and the frequency and severity of orthopedic injuries. Severe polytrauma patients were treated mainly with a staged approach, such as external fixation. The hospital stay, systematic complications, and in-hospital mortality were significantly higher in severe-injured patients. Age and ISS are strong predictors of in-hospital mortality in polytrauma.

• Journal of Nutrition and Health
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• v.55 no.2
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• pp.278-295
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• 2022

Purpose: This study was undertaken to revise and update the Nutrition Quotient (NQ) for Korean adults, a tool used to evaluate dietary quality and behavior. Methods: The first 31 items of the measurable food behavior checklist were adopted based on considerations of the previous NQ checklist, recent literature reviews, national nutrition policies, and recommendations. A pilot survey was conducted on 100 adults aged 19 to 64 residing in Seoul and Gyeonggi Province from March to April 2021 using a provisional 26- item checklist. Pilot survey data were analyzed using factor analysis and frequency analysis to determine whether checklist items were well organized and responses to questions were well distributed, respectively. As a result, the number of items on the food behavior checklist was reduced to 23 for the nationwide survey, which was administered to 1,000 adults (470 men and 530 women) aged 19 to 64 from May to August 2021. The construct validity of the developed NQ (NQ-2021) was assessed using confirmatory factor analysis, linear structural relations. Results: Eighteen items in 3 categories, that is, balance (8 items), moderation (6 items), and practice (4 items), were finally included in NQ-2021 food behavior checklist. 'Balance' items addressed the intake frequencies of essential foods, 'moderation' items the frequencies of unhealthy food intakes or behaviors, and 'practice' items addressed eating behaviors. Items and categories were weighted using standardized path coefficients to calculate NQ-2021 scores. Conclusion: The updated NQ-2021 appears to be suitable for easily and quickly assessing the diet qualities and behaviors of Korean adults.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1107-1118
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• 2021

Climate change brought on by global warming increased the frequency of flood and drought on the Korean Peninsula, along with the casualties and physical damage resulting therefrom. Preparation and response to these water disasters requires national-level planning for water resource management. In addition, watershed-level management of water resources requires flow duration curves (FDC) derived from continuous data based on long-term observations. Traditionally, in water resource studies, physical rainfall-runoff models are widely used to generate duration curves. However, a number of recent studies explored the use of data-based deep learning techniques for runoff prediction. Physical models produce hydraulically and hydrologically reliable results. However, these models require a high level of understanding and may also take longer to operate. On the other hand, data-based deep-learning techniques offer the benefit if less input data requirement and shorter operation time. However, the relationship between input and output data is processed in a black box, making it impossible to consider hydraulic and hydrological characteristics. This study chose one from each category. For the physical model, this study calculated long-term data without missing data using parameter calibration of the Soil Water Assessment Tool (SWAT), a physical model tested for its applicability in Korea and other countries. The data was used as training data for the Long Short-Term Memory (LSTM) data-based deep learning technique. An anlysis of the time-series data fond that, during the calibration period (2017-18), the Nash-Sutcliffe Efficiency (NSE) and the determinanation coefficient for fit comparison were high at 0.04 and 0.03, respectively, indicating that the SWAT results are superior to the LSTM results. In addition, the annual time-series data from the models were sorted in the descending order, and the resulting flow duration curves were compared with the duration curves based on the observed flow, and the NSE for the SWAT and the LSTM models were 0.95 and 0.91, respectively, and the determination coefficients were 0.96 and 0.92, respectively. The findings indicate that both models yield good performance. Even though the LSTM requires improved simulation accuracy in the low flow sections, the LSTM appears to be widely applicable to calculating flow duration curves for large basins that require longer time for model development and operation due to vast data input, and non-measured basins with insufficient input data.

• Journal of Christian Education in Korea
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• v.71
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• pp.181-210
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• 2022

The purpose of this study was to investigate the research trends related to the children's department of church schools. The purpose of this study is to present basic data for the study of the children's department of church schools by analyzing the research period, research contents, research methods, and subjects of research related to the children's department of church schools. For this study, 50 domestic master's and doctoral dissertations searched through the National Assembly Library and the Research Information Sharing Service(RISS) were extracted with the keywords of 'church school' and 'children's department'. The frequency and percentage were calculated by analyzing the research related to the children's department of the church school according to four criteria: research period, research content, research method, and research subject. As a result of the study, first, the research trend of research papers in the children's department of church schools was found to be 49 articles (98%) for master's degrees and 1 article (2%) for doctoral degrees from 1980 to 2022. Trends by research period are focused on master's degrees. Second, the trend by research content was 27 practical studies (54%) and 23 theory studies (46%). In the research related to the children's department of church schools, the practical research accounted for a relatively high percentage compared to the theory research. Third, the trends by research method were in the order of 30 literature studies (60%), 19 quantitative studies (38%), and 1 qualitative study (2%). Research related to children's departments in church schools is being actively conducted with a focus on literature research. Fourth, as for the trends by study subject, the study was conducted focusing on physical subjects, with 35 subjects (70%) and 15 subjects (30%) of personal subjects. As research is conducted from physical objects to church schools and media, it is necessary to study the connection between church schools and families. As the research on church school kindergarten is focused on adults (teachers, parents, and educational preachers), in-depth research on children in church schools and qualitative research with voices from the field of children's department in church schools are required.