• The Journal of Korean Academy of Sensory Integration
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• v.19 no.1
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• pp.39-53
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• 2021

Objective : The purpose of this study was to systematically review dysphagia rehabilitation treatment for children with feeding disorders. Methods : The articles evaluated in this study were collected from the PubMed, Medline Complete, and CINAHL databases and subsequently reviewed using the PRISMA flow chart and PICOS approach. A total of 13 papers were analyzed for study quality, disease groups, evaluation tools, interventions, and post-intervention effects. Results : Of the reviewed papers, six (46.15%) related to autism spectrum disorder (ASD) and seven (53.85%) to cerebral palsy (CP) with age ranges of between 2 and 8 years for the ASD studies and between 12 months and 18 years for CP. In evaluating the types of feeding disorder involved, the ASD group exhibited predominantly behavioral conditions while the CP subjects had a larger number of functional oral and swallowing issues. In terms of interventions, behavior modifications were used most frequently with ASD while oral-sensory motor, texture modifications, and electrical stimulation were applied at the same frequency with children with CP. All interventions were found to be effective. Conclusion : In this study, research into children with feeding disorders was reviewed according to condition, evaluation tool, and method of intervention. It is expected that this review can be used as basic data for developing a protocol that will allow clinicians to efficiently apply condition-specific interventions for eating disorders without resorting to trial and error.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.83-96
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• 2021

Objective : This study aimed to determine Korea-type family function factors that affect individual growth and social activities, and examine check the appropriate contents and domestic culture components based on the McMaster model, a family function evaluation tool, through the Delphi technique. Methods : The Delphi technique was applied to 12 expert panels in fields related to family function. The period lasted 9 weeks, from May to June 2020. The Delphi survey was conducted twice. In the first survey, the domestic culture and appropriate contents of the McMaster model were selected and localized, and expert' opinions about the components were collected using closed and open-ended questions. In the second survey, the fitness and importance of the components were investigated. Results : As a result of the first Delphi investigation, 18 items were deleted from the 53 items presented. After adding 11 items and excluding any overlapping items, a total of 40 items were selected. Subsequently, sentences that were difficult to understand were revised to familiar vocabulary. A second survey was constructed, with an example sentence. In the second Delphi investigation, 33 items were selected. The average content validity ratio for the final selected component was 0.76, and the stability was 0.28. Conclusion : Family function and the factors influencing domestic family function identified though this study can be used to conduct family function evaluations and interventions in clinical sites or relevant research studies.

• Korean Journal of Remote Sensing
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• v.37 no.4
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• pp.699-717
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• 2021

South Korea is pushing for the advancement of crop production technology to achieve food self-sufficiency and meet the demand for safe food. A medium-sized satellite for agriculture is being launched in 2023 with the aim of collecting and providing information on agriculture, not only in Korea but also in neighboring countries. The satellite is to be equipped with various sensors, though reference data for ground information are lacking. Hyperspectral remote sensing combined with 1st derivative is an efficient tool for the identification of agricultural crops. In our study, we develop a system for hyperspectral analysis of the ground-based reflectance spectrum, which is monitored seven times during the cultivation period of three soybean crops using a PSR-2500 hyperspectral sensor. In the reflection spectrum of soybean canopy, wavelength variations correspond with stages of soybean growths. The spectral reflection characteristics of soybeans can be divided according to growth into the vegetative (V)stage and the reproductive (R)stage. As a result of the first derivative analysis of the spectral reflection characteristics, it is possible to identify the characteristics of each wavelength band. Using our developed monitoring system, we observed that the near-infrared (NIR) variation was largest during the vegetative (V1-V3) stage, followed by a similar variation pattern in the order of red-edge and visible. In the reproductive stage (R1-R8), the effect of the shape and color of the soybean leaf was reflected, and the pattern is different from that in the vegetative (V) stage. At the R1 to R6 stages, the variation in NIR was the largest, and red-edge and green showed similar variation patterns, but red showed little change. In particular, the reflectance characteristics of the R1 stage provides information that could help us distinguish between the three varieties of soybean that were studied. In the R7-R8 stage, close to the harvest period, the red-edge and NIR variation patterns and the visible variation patterns changed. These results are interpreted as a result of the large effects of pigments such as chlorophyll for each of the three soybean varieties, as well as from the formation and color of the leaf and stem. The results obtained in this study provide useful information that helps us to determine the wavelength width and range of the optimal band for monitoring and acquiring vegetation information on crops using satellites and unmanned aerial vehicles (UAVs)

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.331-355
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• 2021

The purpose of this study is to derive the implications of operating the Media and Information Literacy (MIL) curriculum in Korea through analysis of MIL curriculum and guidance in the Philippines. The Philippine Ministry of Education runs the MIL as a core subject that high school students in grades 2-3 had to complete. MIL in the Philippines is a tool curriculum that integrates information, media, and digital literacy. In the MIL curriculum, a total of 17 units are designed to be operated for a total of 80 hours, 20 weeks in a semester. And it presents two content criteria, two achievement criteria and 58 learning competencies. The implications drawn from the research results are as follows. First, the chapter presented in the MIL curriculum can be composed only of the knowledge of a higher category or core concept of subject content. Second, it is necessary to present the concept of the term used in the MIL curriculum and specific examples according to the concept. Third, it is necessary to specify the contents necessary for practice in the MIL textbook and to strengthen the competence for the function. MIL, proposed by UNESCO and designated and operated as a subject in the Philippines, needs to be designated as a subject in Korea and operated as a curriculum.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.385-393
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• 2022

This study conducted a survey of social welfare facility workers in Mokpo, Jeollanam-do from May 21 to May 24, 2019 to empirically analyze the effect of job rotation on work efficiency and job satisfaction. Individual development of job rotaion (independent variable), job satisfaction (dependent variable), work efficiency (mediating variable), and work overload (moderating variable) were set as variables of the research model. For the questions of all variables, the Likert 5-point scale was used, the SPSS version 24.0 was used as an empirical analysis tool to verify the hypothesis, descriptive statistics and reliability analysis were performed, and the mediating effect and moderating effect were analyzed using SPSS PROCESS macro 4.0. The results of this study are as follows. First, it was analyzed that the individual development of job rotation did not significantly affect job satisfaction. Second, it was found that work efficiency fully mediated the relationship between individual development of job rotation and job satisfaction. Finally, it was found that the interaction term between work efficiency and job overload had a negative effect on job satisfaction and had a moderated mediating effect.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.15-28
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• 2022

Due to recent expansion of online market such as clothing, utilizing customer review has become a major marketing measure. User review has been used as a tool of analyzing sentiment of customers. Sentiment analysis can be largely classified with machine learning-based and lexicon-based method. Machine learning-based method is a learning classification model referring review and labels. As research of sentiment analysis has been developed, multi-modal models learned by images and video data in reviews has been studied. Characteristics of words in reviews are differentiated depending on products' and customers' categories. In this paper, sentiment is analyzed via considering review data and metadata of products and users. Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), Self Attention-based Multi-head Attention models and Bidirectional Encoder Representation from Transformer (BERT) are used in this study. Same Multi-Layer Perceptron (MLP) model is used upon every products information. This paper suggests a multi-modal sentiment analysis model that simultaneously considers user reviews and product meta-information.

• Journal of Physiology & Pathology in Korean Medicine
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• v.35 no.6
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• pp.211-218
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• 2021

In order to increase the clinical value of an identification of patterns according to the eight principles (IPEP) in Korean medicine practice, The research on the Clinical Practice Guideline (CPG) of IPEP should comprehend the situation of clinical usage of IPEP practiced by Korean medicine doctors at first. Google survey form were emailed to Korean Medicine doctors registered in the Association of Korean Medicine on 04/15/2021 and the survey was closed at 04/22/2021. Data of 505 answered cases were analyzed by Frequency analysis, Chi-Square analysis, correlation analysis for understanding differences by groups. Out of 505 respondents, 57.6% have answered that they are using IPEP. It means that 42.4% of KM doctors don't use in the medical practice reversely in spite of fundamental diagnostic theory. The 64.7% respondents of no using IPEP presented their opinion about the theoretical problem that it is difficult to use because the concept of IPEP is ambiguous. And next, the 52.1% of the respondents expressed that there is no objective tools to measure and record the IPEP evidences in actual implementation. And 49.6% of the respondents also suggested that it is hard to trust and use IPEP similar to the previous comment. Even about 50% of the respondents are carrying out diagnosis and treatment using IPEP, it showed that there were several unsolved problems such as lack of understanding and practical tools or objective indicators for diagnosis of IPEP. Through the above results, the concept, usage, measurement requirements with indices and discriminant logic of IPEP were manifested as the main hopes of attending members of Korean medicine in the survey, so the IPEP CPG should make clear about these difficult but necessary assignment in the near future.

• The Journal of Korean Academy of Sensory Integration
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• v.19 no.3
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• pp.32-43
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• 2021

Objective : This study aimed to verify the construct validity of the Korean version of the Peabody Developmental Motor Scale-2 (K-PDMS-2) and its test-retest reliability for children with cerebral palsy (CP) and typical children. Method : To ascertain the construct validity, the K-PDMS-2 evaluation was conducted on 42 children with cerebral palsy and 42 typical children of similar age and gender. Construct validity was proved through comparison with standard scores. Ten of the children with CP were re-evaluated after two weeks to determine test-retest reliability. Results : There was a statistically significant difference in gross motor and fine motor development according to five subtests between the group of children with CP and the typical group (p = .000). For test-retest reliability, the correlation coefficient of the total frequency score was .989, representing very high temporal stability. Conclusion : This study confirmed that K-PDMS-2 is an evaluation tool of high reliability and validity, and a potentially useful future measure for domestic clinical sites and research.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.233-254
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• 2022

Link reduction algorithms such as pathfinder network are the widely used methods to overcome problems with the visualization of weighted networks for knowledge domain analysis. This study proposed NetRSQ, an indicator to measure the goodness of fit of a link reduction algorithm for the network visualization. NetRSQ is developed to calculate the fitness of a network based on the rank correlation between the path length and the degree of association between entities. The validity of NetRSQ was investigated with data from previous research which qualitatively evaluated several network generation algorithms. As the primary test result, the higher degree of NetRSQ appeared in the network with better intellectual structures in the quality evaluation of networks built by various methods. The performance of 4 link reduction algorithms was tested in 40 datasets from various domains and compared with NetRSQ. The test shows that there is no specific link reduction algorithm that performs better over others in all cases. Therefore, the NetRSQ can be a useful tool as a basis of reliability to select the most fitting algorithm for the network visualization of intellectual structures.