Journal of The Korean Association For Science Education
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제37권4호
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pp.577-586
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2017
The purpose of this study is to try to structuralize the perception of the mothers of science-gifted elementary students using the concept mapping approach. The mothers who participated in this research had children who were 5th and 6th graders selected as science-gifted by a regional education office, a science high school and two national universities in a city. One of the authors interviewed 26 mothers, and extracted 50 general statements of their perceptions about the career path of their children. Ten mothers who participated in interviews sorted a shuffled pack of statement cards. The categorization of the statements into the dissimilarity matrix was carried out by SPSS multidimensional scaling analysis and hierarchical cluster analysis to generate a conceptual diagram. After that 140 mothers rated each statement using a Likert-type response scale from one to five. The result showed six clusters of parental views such as were 'Burden of private education, grades and going to the next grade,' 'Thinking about career guidance in gifted education and school,' 'Parental roles in child career education,' 'Difficulties in career guidance at home,' 'Demand for strengthening the parental capacity for career guidance,' and 'Demand for social support.' 'Demand for social support' obtained the highest sympathy from mothers of elementary science gifted.
This study attempted to examine the role of gender roles in psychological distress of Korean adult men. Specifically, it was attempted to verify whether compliance with multidimensional male gender roles predicts psychological distress through gender role conflict. To this end, this study was conducted on 358 male participants aged 19 to 39 using the Korean Conformity to Masculine Norm Inventory, Korean Male Gender Role Conflict Scale, and General Health Questionnaire. As a result of the study, it was found that the influence on psychological distress through male gender role conflict was different depending on the sub-factors of the male gender norm. The sub-factors of masculine norms, 'power and control', 'job - independence', and 'emotion suppression', were statically predicted psychological distress through the medium of 'fear for femininity', which is a sub-factor of gender role conflict. Meanwhile, among the male norms, 'male leadership' and 'family support' had negative direct effects on psychological distress, and the indirect effects through gender role conflict were not significant. The results of this study suggest that the sub-factors of male norms have different functions for psychological distress, and in particular, the dysfunctional role of male norms can be caused by negative emotions about femininity during gender role conflict.
In this study, we are purposed to find the educational effect of practical training using a 3D printed structure-based blind box on multidimensional radiographic image interpretation. The subjects were 83 (male: 49, female: 34) 2nd year radiological science students who participated in the digital medical imaging practice that was conducted for 3 years from 2020 to 2022. The learning method used 3D printing technology to print out the inside structure of the blind box designed by itself. After taking X-rays 3 times (x, y, z axis), the structure images in the blind box were analyzed for each small group. We made the 3D structure that was self-made with clay based on our 2D radiographic images. After taking X-rays of the 3D structure, it was compared whether it matches the structural image of the blind box. The educational effect for the practical training surveyed class faithfulness, radiographic image interpretation ability (attenuation concept, contrast concept, windowing concept, 3-dimensional reading ability), class satisfaction (interest, external recommendation, immersion) on a 5-point Likert scale as an anonymous student self-writing method. As a result, all evaluation items had high positive effects without significant differences between males and females. Practical education using blind boxes is a meaningful example of radiology education technology using 3D printing technology, and it is expected to be used as content to improve students' problem-solving skills and increase satisfaction with major subjects.
The purpose of the study was to examine Korean high school students' experience and perceptions of friendship and to inductively conceptualize friendship. The concept mapping method which is used to quantitatively analyze qualitative data was used to identify and visualize participants' experiences and perceptions of friendship. Through a brainstorming process, 93 statements were generated by boys and 100 statements were generated by girls, each set of which were sorted and categorized to generate concept maps. The final concept maps from both group equally had two dimensions: 'Practical-Conceptual' and 'Behavioral-Emotional'. The number of categories was equal to four, but there were some differences in the specifics of the statements in the category. Boys tended to conceptualize friendship as a source of happiness; a type of informal relationship through which they could share their everyday lives; and provide mutual care and engage in emotional bonding. In addition to those conceptualizations, girls also tended to conceptualize friendship as an affective alliance through which they displayed devotion to each other. Boys regarded the sympathy and bonding found in and the happiness produced by friendship as more important elements, whereas girls regarded the care and support found in and the informal nature of friendship as more important
This study aims to identify the family and lineage of a part of a "Fish Tribe Conference" in the section Tokkijeon by utilizing computer literature analysis techniques. First of all, we encode the classification for a pairwise comparison's type of each paragraph to build a corpus, and based on this, we use the Hamming distance to calculate the distance matrix between each classification for a pairwise comparison's. We visualized classification for a pairwise comparison's clustering pattern by applying multidimensional scale method, and hierarchical clustering to explore the characteristics of the 'fish family' line and lineage compared to the existing cluster analysis study on entire paragraphs of "Tokkijeon". As a result, unlike the cluster analysis of the entire paragraph of "Tokkijeon", which consists of six categories, the "Fish Tribe Conference" section has five categories and some classification for a pairwise comparison's accesses. The results of this study are that the relative distance between Yibon was measured and systematic classification was performed in an objective and empirical way by calculation, and the characteristics of the line of the fish family were revealed compared to the analysis of the entire rabbit exhibition.
The study examined the influence of socially-prescribed perfectionism (SPP) on depression and social anxiety, and further investigated the mediating effects of self-focused attention and self-criticism. The questionnaires designed to measure multidimensional perfectionism, social anxiety, depression, self-focused attention, self-criticism scale for adolescents were administered twice at an interval of three weeks to 273 students (83 men, 190 women) enrolled at high schools in Gyeonggi-do Province. The findings for the present study were as follows. First, SPP, depression, social anxiety, self-focused attention, and self-criticism showed all positive correlations. Second, the mediation effect from the SPP to depression via self-focused attention was statistically significant, whereas the indirect effect from the SPP to depression via self-criticism was not. Third, the pattern in depression was the same in social anxiety. The results provide indirect support for the social anxiety cognitive model (Clark & Wells) with regards to social anxiety particularly in Korean high school students. Finally, the implications and limitations of this study and suggestions for future research were discussed.
As quickly becoming an ageing society in Korea, this study aims to investigate how family caregivers' burden with demented patients and social supports are related to their health and quality of life, and the interaction of caregiving burden and social supports on caregivers' health and quality of life. The participants were 207 family caregivers (106 females) of demented patients lived in Seoul, Kyunggi, and Chungcheong areas, whose average of age were 51.62 ( SD=9.25). The psychological tests used in this research included the following: Multidimensional Caregiver Burden Inventory, Chon's Physical Symptom Questionnaire, Hahn & Jang's Perceived Health Inventory, Negative Affect Self-Statement Questionnaire, and the Korean Version of Cambell's Subjective Well-being Scale, Social Support Survey in Medical Outcomes Study, and Kwon's Questionnaire for Maladjusted Problems of Demented. Results indicated that caregivers' burden with demented patient related to physical symptoms and depression positively, and perceived health and subjective well-being negatively. Social supports showed moderate effects on influences of caregiving burden in perceived health, depression, and subjective well-being of family caregivers with demented patients. It was identified the possibility of their buffering effect on negative results of caregiving burden with demented patients. Since caregiving burden accounted for the 34% of the variances for family caregivers' physical symptoms and depression, researchers discussed the promotion and intervention of their health and quality of life. Beside of different effects of social supports with level of caregiving burden, with previous studies it was discussed some saliant findings such as family caregivers with patients who showed severe dementia symptoms were perceiving even less supports from others.
Journal of the Korean Association of Geographic Information Studies
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제27권1호
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pp.115-127
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2024
This research aimed to construct models with various structures based on the Transformer module and to perform land cover classification, thereby examining the applicability of the Transformer module. For the classification of land cover, the Unet model, which has a CNN structure, was selected as the base model, and a total of four deep learning models were constructed by combining both the encoder and decoder parts with the Transformer module. During the training process of the deep learning models, the training was repeated 10 times under the same conditions to evaluate the generalization performance. The evaluation of the classification accuracy of the deep learning models showed that the Model D, which utilized the Transformer module in both the encoder and decoder structures, achieved the highest overall accuracy with an average of approximately 89.4% and a Kappa coefficient average of about 73.2%. In terms of training time, models based on CNN were the most efficient. however, the use of Transformer-based models resulted in an average improvement of 0.5% in classification accuracy based on the Kappa coefficient. It is considered necessary to refine the model by considering various variables such as adjusting hyperparameters and image patch sizes during the integration process with CNN models. A common issue identified in all models during the land cover classification process was the difficulty in detecting small-scale objects. To improve this misclassification phenomenon, it is deemed necessary to explore the use of high-resolution input data and integrate multidimensional data that includes terrain and texture information.
The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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제27권3호
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pp.127-143
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2022
Recently, many attempts to run numerical ocean models in cloud computing environments have been tried actively. A cloud computing environment can be an effective means to implement numerical ocean models requiring a large-scale resource or quickly preparing modeling environment for global or large-scale grids. Many commercial and private cloud computing systems provide technologies such as virtualization, high-performance CPUs and instances, ether-net based high-performance-networking, and remote direct memory access for High Performance Computing (HPC). These new features facilitate ocean modeling experimentation on commercial cloud computing systems. Many scientists and engineers expect cloud computing to become mainstream in the near future. Analysis of the performance and features of commercial cloud services for numerical modeling is essential in order to select appropriate systems as this can help to minimize execution time and the amount of resources utilized. The effect of cache memory is large in the processing structure of the ocean numerical model, which processes input/output of data in a multidimensional array structure, and the speed of the network is important due to the communication characteristics through which a large amount of data moves. In this study, the performance of the Regional Ocean Modeling System (ROMS), the High Performance Linpack (HPL) benchmarking software package, and STREAM, the memory benchmark were evaluated and compared on commercial cloud systems to provide information for the transition of other ocean models into cloud computing. Through analysis of actual performance data and configuration settings obtained from virtualization-based commercial clouds, we evaluated the efficiency of the computer resources for the various model grid sizes in the virtualization-based cloud systems. We found that cache hierarchy and capacity are crucial in the performance of ROMS using huge memory. The memory latency time is also important in the performance. Increasing the number of cores to reduce the running time for numerical modeling is more effective with large grid sizes than with small grid sizes. Our analysis results will be helpful as a reference for constructing the best computing system in the cloud to minimize time and cost for numerical ocean modeling.
Park, Sang-Hyeon;Baek, Seung-Ho;Kim, Jeong-Hui;Kim, Dong-Hwan;Jang, Min-Ho;Won, Doo-Hee;Park, Bae-Kyung;Moon, Jeong-Suk
Korean Journal of Ecology and Environment
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제55권1호
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pp.35-48
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2022
Fish assemblage of total 325 of Korean peninsula estuaries were surveyed to analyze the characteristics of community structure and diversity by sea areas for three years from 2016 to 2018. The scale (stream width) of Korean estuaries were various (14~3,356 m), and 68.9% of all estuaries showed salinity of less than 2 psu. Total 149 species classified into 52 families of fish were identified, and the dominant and sub-dominant species were Tribolodon hakonensis (relative abundance, RA, 12.5%) and Mugil cephalus (RA, 9.5%), respectively. The estuary of the Korean Peninsula had different physical and chemical habitat environments depending on the sea area, and accordingly, fish community structure also showed statistically significant differences (PERMANOVA, Pseudo-F=26.69, P=0.001). In addition, the NMDS (nonmetric multidimensional scaling) results showed the patterns that indicating fish community difference by sea areas, even though low community similarity within sea area (SIMPER, 21.79~26.39%). The estuaries of east sea areas were distinguished from the others in the aspects of which, the higher importance of migratory fishes and endangered species, and that of brackish species were characterized at south sea estuaries. However, the estuaries of west sea showed higher importance of species that have a relation with freshwater (primary freshwater species, exotic species), which is the result that associating with the lower salinity of west sea estuaries because of the high ratio of closed estuaries(78.2%). The SIMPER analysis, scoring the contribution rates of species to community similarity, also showed results corresponding to the tendency of different fish community structures according to each sea area. So far, In Korea, most studies on fish communities in estuaries have been conducted in a single estuary unit, which made it difficult to understand the characteristics of estuaries at the national level, which are prerequisite for policy establishment. In present study, we are providing fish community structure characteristics of Korean estuaries in a national scale, including diversity index, habitat salinity ranges of major species, distribution of migratory species. We are expecting that our results could be utilized as baseline information for establishing management policies or further study of Korean estuaries.
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