• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.267-275
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• 2004

Directed graph and Lindenmayer system (L-system) are two major encoding methods of representation to develop creatures in application field of artificial life. It is difficult to define real morphology structurally using the L-systems which are a grammatical rewriting system because L-systems represent genotype as loops, procedure calls, variables, and parameters. This paper defines a class of representations called structured directed graph, which is identified by its ability to define structures of the genotype in the translation to the phenotype, and presents an example of creating 3D flowers using a directed graph which is proper method to represent real morphology, and interactive genetic algorithm which decodes the problem with human's emotional evaluation. The experimental results show that natural flower morphology can be generated by the proposed method.

• Journal of The Korean Society of Integrative Medicine
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• v.6 no.4
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• pp.63-73
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• 2018

Purpose : This study aims to verify the effects of flipped learning on self-directed learning and class satisfaction in a class of college physical therapy students. Methods : The subjects were 97 students in College A who had registered for musculoskeletal examination and assessment and practice at the second semester of 2017. All subjects were measured with the self-directed learning questionnaire for college student proposed by Lee et al., and the class satisfaction questionnaire proposed by Lee et al., before and after intervention. The collected data were processed using a computerized statistical program SPSS Win version 21.0. Mean, standard deviation, paired t-test and Cronbach's alpha coefficient were calculated. Results : The results showed significant differences in goal setting, identify resources for learning, effort attributed to results, self-reflection of self-directed learning and problem solving excellence, class methods and contents attention and understanding(p<.05), class interest of class satisfaction(p<.05). Conclusion : These results suggest that flipped learning improves learning motivation and attitudes. Therefore, follow-up study is necessary to investigate further the application of flipped learning in various students and teaching methods.

• The Korean Journal of Emergency Medical Services
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• v.26 no.2
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• pp.37-46
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• 2022

Purpose: This study aims to analyze the effects of flipped learning on paramedic students' self-directed learning and academic self-efficacy. Methods: A one-group pretest, posttest design was utilized for the 32 paramedic students who participated. The data were analyzed by employing paired t-test and Pearson correlation coefficient along with the SPSS 23.0 program. Results: The scores of self-directed learning and academic self-efficacy significantly increased after flipped learning classes (t = -3.90, p<.05; t = -5.92, p<.05, respectively). Conclusion: Flipped learning is an effective intervention for improving self-directed learning and academic self-efficacy in paramedic education. In the long run, the application of flipped learning will play a role in improving the paramedic students' educational environment and strengthening the overall abilities of students.

• Journal of Microbiology and Biotechnology
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• v.33 no.10
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• pp.1257-1267
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• 2023

Although rational genetic engineering is nowadays the favored method for microbial strain improvement, building up mutant libraries based on directed evolution for improvement is still in many cases the better option. In this regard, the demand for precise and efficient screening methods for mutants with high performance has stimulated the development of biosensor-based high-throughput screening strategies. Genetically encoded biosensors provide powerful tools to couple the desired phenotype to a detectable signal, such as fluorescence and growth rate. Herein, we review recent advances in engineering several classes of biosensors and their applications in directed evolution. Furthermore, we compare and discuss the screening advantages and limitations of two-component biosensors, transcription-factor-based biosensors, and RNA-based biosensors. Engineering these biosensors has focused mainly on modifying the expression level or structure of the biosensor components to optimize the dynamic range, specificity, and detection range. Finally, the applications of biosensors in the evolution of proteins, metabolic pathways, and genome-scale metabolic networks are described. This review provides potential guidance in the design of biosensors and their applications in improving the bioproduction of microbial cell factories through directed evolution.

• Journal of the Korean Society of Earth Science Education
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• v.11 no.3
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• pp.172-181
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• 2018

The purpose of this study is to investigate the impact on self-directed learning ability and science process skills by utilizing 'Thinking Maps' in a science class. This particular study was proceeded to 5th grader at B elementary school, there was a mutual agreement with a teacher about assigning a research group and a comparison group and it was agreed by students and explaining the reason and purpose of the study. The researchers visited the school and selected 24 students in the research class and 24 students in the comparative class. For a research group, an experimental group, homeroom teacher, proceeded a science class with the application of 'Thinking Maps'. The experimental period was set up as a 40 minutes class unit for 12 weeks. After an experimental group, self-directed learning ability and science process skills were examined, data collection and data analysis were proceeded by order. The following experimental results are as below. First, the application of 'Thinking Maps' method in the class was effective in self-directed learning ability. Second, the application of 'Thinking Maps' method in the class was effective in scientific process skills. Third, the application of 'Thinking Maps' method in the class had a positive cognition from the learners in the experimental group. Based on the discussions and implications of the results of this study, some suggestions in the follow - up study are as follows. First, applying Thinking Maps technique to various science classes to see the effects can also be suggested as one of the new teaching methods. Second, testing the effects of applying different grades of elementary school students using the Thinking Maps technique could also be highlighted as another way of teaching science classes.

• Journal of Korean Elementary Science Education
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• v.35 no.1
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• pp.54-64
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• 2016

The purpose of this study is to develop instructional strategy which utilizes thinking maps focused on drawing as a measure to enhance science learning motivation, self-directed learning activity and science academic achievement of learners, and to examine the effects of its application. The target unit for this study is 'life cycle of plants' in the fourth grade of elementary school. Two classes of 4th grades of elementary school were selected and divided into two groups. The learners of experimental group have completed thinking map by drawing a picture to express the results to be observed and measured, and used it to arrange the learning contents. The result of this study is as follows. First, it is proven that using thinking maps focused on drawing actually helped improving the motivation of learners to study science. Second, it is proven that this strategy was effective to change their self-directed learning ability in positive ways. Third, it contributed to the improvement of learners' science academic achievement. We found out that the application of this strategy enabled them to enjoy the mapping using drawing, to be immersed in learning, to better recognize the scientific concepts and the structure of learning contents, and to have a positive awareness of the usefulness of thinking maps focused on drawing.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.702-705
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• 2003

Directed graph and Lindenmayer system (L-system) are two major encoding methods of representation to develop creatures in an application field of artificial life. It is difficult to structurally define real morphology using the L-systems which are a grammatical rewriting system because they represent genotype as loops, procedure calls, variables, and parameters. This paper defines a class of representations called structured directed graph and interactive genetic algorithm for automatically creating 3D flower morphology. The experimental results show that natural flower morphology can be created by the proposed method.

• YAKHAK HOEJI
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• v.53 no.3
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• pp.161-164
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• 2009

Synthetic studies directed toward an asymmetric total synthesis of calycotomine, an representative tetrahydroisoquinoline, are described. The application of N-tert-butane sulfinyl chiral auxiliary to the Pictet-Spengler type reaction for the efficient synthesis of tetrahydroisoquinoline skeleton has been also investigated.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.23-36
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• 2020

This study indicates there is a need for delivering key academic vocabulary to students with multi-cultural backgrounds before they enter middle school and thus select academic vocabularies necessary for satisfactory middle school education and self-directed learning methods using a more focused selected academic vocabulary list. To this end, we first examine the vocabularies appearing in the main Korean language, math, social studies and science textbooks used in the first year of middle school and compile the most practical academic vocabulary list. Then we offer a selection method for the main academic vocabulary from these compiled vocabularies. We also propose a self-directed vocabulary learning model for using these selected academic vocabularies and an academic vocabulary learning application as a prototype. As a result, students with multi-cultural backgrounds will be able to adapt to middle school education more quickly when they learn the necessary academic vocabularies on their own using the academic vocabulary learning application.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1367-1369
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• 2013

Applying Application-Level Multicast technology (ALM) to Distributed Interactive Applications (DIAs) becomes more and more popular. Especially for DIAs embedded priority that the sender forwards data to receivers due to their respective priorities. The priority-based directed minimum spanning tree (PST) algorithm was designed for these DIAs. However, the PST has no efficient priority selection and filtering mechanism. The system will consume a tremendous amount of resource for reconstructing distribution tree and becomes unstable and unscalable. In this paper, First, We propose a novel priority-based application level multicast algorithm: Predict-and-Quantize for Priority with directed minimum Spanning Tree (PQPST), which can efficiently predict efficient priorities for the receivers and quantize the predicted priorities to build the multicast distribution tree. Second, we propose Priority Discrepancy Heuristic Mechanism (PDHM), which sets different thresholds of priority discrepancy within the priority discrepancy interval to control the distribution tree construction can efficiently decrease the repeated distribution tree construction, and we get the best heuristic priority discrepancy interval by PQPST. According to the simulation results, the PQPST and PDHM can efficiently improve the performance of the PST algorithm.