• Applied Chemistry for Engineering
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• v.33 no.6
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• pp.563-573
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• 2022

This work aimed to develop a new equation for turbidity (Turb) simulation and prediction using statistical methods based on principal component analysis (PCA) and multiple linear regression (MLR). For this purpose, water samples were collected monthly over a five year period from Cheurfa dam, an important reservoir in Northwestern Algeria, and analyzed for 12 parameters, including temperature (T°), pH, electrical conductivity (EC), turbidity (Turb), dissolved oxygen (DO), ammonium (NH₄⁺), nitrate (NO₃^-), nitrite (NO₂^-), phosphate (PO₄^3-), total suspended solids (TSS), biochemical oxygen demand (BOD₅) and chemical oxygen demand (COD). The results revealed a strong mineralization of the water and low dissolved oxygen (DO) content during the summer period. High levels of TSS and Turb were recorded during rainy periods. In addition, water was charged with phosphate (PO₄^3-) in the whole period of study. The PCA results revealed ten factors, three of which were significant (eigenvalues >1) and explained 75.5% of the total variance. The F1 and F2 factors explained 36.5% and 26.7% of the total variance, respectively and indicated anthropogenic pollution of domestic agricultural and industrial origin. The MLR turbidity simulation model exhibited a high coefficient of determination (R² = 92.20%), indicating that 92.20% of the data variability can be explained by the model. TSS, DO, EC, NO₃^-, NO₂^-, and COD were the most significant contributing parameters (p values << 0.05) in turbidity prediction. The present study can help with decision-making on the management and monitoring of the water quality of the dam, which is the primary source of drinking water in this region.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1709-1722
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• 2022

The rise in temperature induced by global warming caused in El Nino and La Nina, and abnormally changed the temperature of seawater. Rainfall concentrates in some locations due to abnormal variations in seawater temperature, causing frequent abnormal floods. It is important to rapidly detect flooded regions to recover and prevent human and property damage caused by floods. This is possible with synthetic aperture radar. This study aims to generate a model that directly derives flood-damaged areas by using modified U-NET and TerraSAR-X images based on Multi Kernel to reduce the effect of speckle noise through various characteristic map extraction and using two images before and after flooding as input data. To that purpose, two synthetic aperture radar (SAR) images were preprocessed to generate the model's input data, which was then applied to the modified U-NET structure to train the flood detection deep learning model. Through this method, the flood area could be detected at a high level with an average F1 score value of 0.966. This result is expected to contribute to the rapid recovery of flood-stricken areas and the derivation of flood-prevention measures.

• 한국노년학
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• v.40 no.1
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• pp.179-196
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• 2020

The purpose of this study was to identify the factors impacting fear of dementia, targeting the aged in the community. The study targeted 258 seniors aged 65 or older attending the senior college or using the senior citizen community center in areas of Jeollannam-do. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and a stepwise multiple linear regression. Fear of dementia of the aged showed significant positive correlations with dementia anxiety, and aged anxiety. dementia anxiety, aged anxiety, dementia experience, use of a hearing aid, religion, level of dementia interest were significant predictors influencing fear of dementia of aged in the community, and these variables accounted for 37.2% of the variance. Therefore, this study suggests that in order to p revent fear of dementia of aged people in the primary health care setting, it is necessary to have a nurse's assessment on the factors affecting dementia as well as a multi-faceted education strategy for proper recognition of dementia.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.457-468
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• 2022

In aged society, it is important to prevent older people from being disability needing long-term care. The purpose of this study is to develop a prediction model to discover high-risk groups who are likely to be beneficiaries of Long-Term Care Insurance. This study is a retrospective study using database of National Health Insurance Service (NHIS) collected in the past of the study subjects. The study subjects are 7,724,101, the population over 65 years of age registered for medical insurance. To develop the prediction model, we used logistic regression, decision tree, random forest, and multi-layer perceptron neural network. Finally, random forest was selected as the prediction model based on the performances of models obtained through internal and external validation. Random forest could predict about 90% of the older people in need of long-term care using DB without any information from the assessment of eligibility for long-term care. The findings might be useful in evidencebased health management for prevention services and can contribute to preemptively discovering those who need preventive services in older people.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.379-402
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• 2022

The purpose of this study was to verify the effectiveness of the employee metacognition and it's positive effect on employee agility. Also it aims to investigate the mechanism through the cascading multi-mediating effect through the role breadth self-efficacy and learning agility in such a relationship. In order to solve the common-method bias, independent and dependent variables were measured with time lag, and the relationship between variables was clearly verified by applying the position and the length of time worked with the supervisor as control variables. In testing the hypothesis, 478 questionnaires collected from whom worked at the company has more than 300 office workers in various industries were analyzed. As the result, firstly metacognition had a significant positive(+) effect on employee agility. Second, role breadth self-efficacy was found to positively mediate the relationship between metacognition and employee agility. Third, learning agility was found to mediate metacognition and employee agility positively(+). Fourth, metacognition serially mediates role breadth self-efficacy and learning agility, and the positive(+) effect on employee agility was verified. In addition, metacognition had a greater effect on member agility when passing through role breadth self-efficacy and learning agility rather than the direct effect on employee agility.

• Korean Journal of Remote Sensing
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• v.38 no.5_1
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• pp.535-543
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• 2022

A drone is used to diagnose crop growth and to provide information through images in the agriculture field. In the case of using high spatial resolution drone images, growth information for each object can be produced. However, accurate object detection is required and adjacent objects should be efficiently classified. The purpose of this study is to develop a Chinese cabbage object detection algorithm using multispectral reflectance images observed from drone and computer vision techniques. Drone images were captured between 7 and 15 days after planting a Chinese cabbage from 2018 to 2020 years. The thresholds of object detection algorithm were set based on 2019 year, and the algorithm was evaluated based on images in 2018 and 2019 years. The vegetation area was classified using the characteristics of spectral reflectance. Then, morphology techniques such as dilatation, erosion, and image segmentation by considering the size of the object were applied to improve the object detection accuracy in the vegetation area. The precision of the developed object detection algorithm was over 95.19%, and the recall and accuracy were over 95.4% and 93.68%, respectively. The F1-Score of the algorithm was over 0.967 for 2 years. The location information about the center of the Chinese cabbage object extracted using the developed algorithm will be used as data to provide decision-making information during the growing season of crops.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.24 no.3
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• pp.288-294
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• 2021

Purpose: Despite aggressive medical and nutritional management, patients with methylmalonic acidemia (MMA) often suffer from multi-organ damage. Early deceased donor liver transplantation (DDLT) has emerged as an intervention to prevent disease progression. We investigated the efficacy of living donor LT (LDLT) with a potential carrier of MMA and a small volume of graft in patients with MMA as an alternative to DDLT. Methods: Of five patients (three male, two female; median age 5.7 years; range, 1.3-13.7 years), four underwent carrier LDLT, while one underwent non-carrier auxiliary LDLT. All patients received pre- and post-LT continuous renal replacement therapy and were provided with minimal restriction diet according to serum MMA level after LT. MMA levels in the serum and urine, the incidence of metabolic crisis, and clinical findings before and after LT were compared. Results: The survival rate was 100% during 2.2 years of follow up period after LT. In all five cases, MMA titer in the serum after transplantation decreased with less restrictive diet. Metabolic crisis was not observed during the follow-up period. In addition, no patient showed progression of severe renal impairment requiring hemodialysis. Progression of delayed cognitive development was not observed. Social functioning with improved neuropsychiatric development was observed. Conclusion: This study showed that LDLT achieved improved quality of life with less restrictive diet, therefore it could be a feasible alternative option to DDLT for the treatment of patients with MMA, even with an auxiliary LT.

• Journal of the Korean Chemical Society
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• v.65 no.4
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• pp.268-278
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• 2021

The purpose of this study is to subdivide responsive teaching types proposed in the previous study in order to observe the change in the responsive teaching types in teacher educational programs, and to identify factors that impede changes in responsive teaching types. To this end, an educational program including introduction of responsive teaching, case analysis of responsive teaching, individual assignments and group discussions on facilitator type educational scenarios is provided for chemistry teachers who participated in a chemistry education course established in a graduate school of education. Based on previous research, when the teacher's teaching method was analyzed as evaluator, transfer, guide and facilitatore, a type that could not be classified was observed. In this study, responsive teaching types were added by adding two types: explorer and interpreter. In addition, through individual assignments and group discussion data, we could observe the factors that hinder teachers' responsive teaching changes. The obstacles that impede the change to responsive teaching were classified into teacher factors, student factors, and environmental factors. Among the obstacles, teacher factors include a belief in teacher-led instruction, a belief in the role of a teacher as a transfer of knowledge, a belief that the curriculum should be followed, a lack of understanding of the teacher about students, and a lack of the teacher's ability to lead student-led expansion. The student factor was distrust of the student's competence. Also, as an environmental factor, there was an educational environment such as multi-students class. Effective teacher education on responsive teaching can be achieved only when the perception related to these obstacles can be removed.

• Journal of Popular Narrative
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• v.26 no.3
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• pp.255-288
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• 2020

The purpose of this study is to propose 'plot lamination methodology' for planning and analyzing of storytelling. The story contents with a certain volume of narrative might have several important characters. Most of the characters have meaningful influences on the context of the story through their choices and actions as they go through dynamic changes to construct and deconstruct relationships. The plot lamination methodology is the result of an attempt to look at the process from the 'strategic' point of view by focusing on the fact that the main characters with supplementary nature contribute to the independent formation of subplot based on the main plot driven by the protagonist. Regardless of how they live their own unique and autonomous life in the narrative, the main characters hold a relatively subordinate position within the centripetal force of the main plot. Their journeys tend to expand/emphasize/divide up the process of the main plot's 'persuasion via causality,' and also individualize into the functions of emotional sympathy (pathos), moral, ethical perspective (ethos), and rational logic (logos). As such, the subplots of main characters are laminated according to these three functional traits, which could become multi-layered through second or third laminations, depending on the number and roles of other characters. If the plot lamination methodology is further developed through follow-up studies, it will open up the possibilities of the strategic design (planning) and aesthetic criticism (analysis) regarding the procedure of conjugation /branching of subplot and/from the main plot.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.447-454
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• 2022

The purpose of this study was to strengthen the practicality of preliminary teachers in preparation for future education, to respond to structural changes in the teacher training system due to a decrease in the school-age population, and to seek a future-oriented direction for the curriculum of teacher training institutions. To this end, we analyzed the competency diagnosis items of the teacher training institutes in the 5th cycle from 2019 to 2020, and based on the proposal for the development plan for the teacher training system announced by the Ministry of Education in July 2021 and the contents of the 4 discussions, content was presented. The results were as follows. First, to nurture creative and convergence-type talents, teacher training institutions need to develop multi-curricular competency and reorganize the curriculum into a future-oriented curriculum. Second, in order to foster the competence of teachers and preliminary teachers in teacher training institutions, it is essential to strengthen the competence of teachers through the introduction of the metaverse, general teaching methods, and ICT-using teaching methods. Third, teachers' training institutions will introduce and strengthen the 'education practice teacher homeroom system' to strengthen school field-oriented practical competencies, 'dedicated mentor-mentee' centered on seniors and juniors, 'monitoring system' led by university professors, and 'probationary teacher system'