• Journal of the Korean earth science society
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• v.43 no.3
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• pp.446-463
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• 2022

This study suggests the need for polar literacy education as an effective conceptual system to explain climate change in terms of science education in line with the common effort of humankind to respond to global environmental changes. To this end, we investigated the status of polar literacy in high school students through quantitative tests and qualitative interviews and discussed the resulting implications. A total of 329 high school sophomore students from two high schools participated in a test consisting of 25 true and false questions developed by referring to the Polar Literacy Principles, while 13 students agreed to be interviewed. The results showed that a somewhat insufficient understanding and conceptual gaps appeared regarding several areas of the Polar Literacy Principles. Knowledge of the geographic features of the polar regions was weak, and little was known about the components and key characteristics of the cryosphere. The lack of understanding of these concepts results in the inability of students to link the operational mechanisms of polar and global climate change sufficiently. While accepting unsatisfactory concepts in the school curriculum without criticism from outside media, students perceived the mechanism of climate change as somewhat monotonous or distorted. Moreover, linguistic information, analogies, and visual observation were used as cognitive strategies to compensate for the ambiguous understanding of polar and climate change. Based on the abovementioned results, we argue that polar literacy education should be introduced as a new knowledge system that can be used to aid a systematic and comprehensive understanding of climate change within the school science curriculum. Additionally, we suggest the following implications: review the consistency of knowledge related to polar literacy in other subjects, provide critical standards for out-of-school media information related to climate change, examine students' misconceptions, and identify improved thinking strategies.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.6
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• pp.1927-1932
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• 2004

This research study has been conducted to identify and evaluate the effectiveness of Sanjoin-Tang(酸棗仁湯) for insomnia relief. The clinical testing of Sanjoin-Tang(酸棗仁湯) was carried out at Oriental Medical Center of Dong-Eui University with the participation of 30 patients. The results of Sanjoin-Tang(酸棗仁湯) treatments show as follows: Change of total amount of sleep showed 1.75±2.23 hours of increase.(p-value=0.001, respectively) Change of average delaying bedtime before and after the treatment showed 1.57±2.50 hours of decrease.(p-value=0.001, respectively) Change of average bedtime arousal before and after the treatment showed 0.96±1.46 times of decrease. (p-value=0.004, respectively) Change of sleep quality after the treatment has improved. According to statistical results, Sanjoin-Tang(酸棗仁湯) has proven effective for reducing sleep disorders, and this, restoring normal sleep patterns.

• Nutrition Research and Practice
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• v.8 no.5
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• pp.595-601
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• 2014

BACKGROUND/OBJECTIVES: Educational interventions targeted food selection perception, knowledge, attitude, and behavior. Education regarding irradiated food was intended to change food selection behavior specific to it. SUBJECTS AND METHODS: There were 43 elementary students (35.0%), 45 middle school students (36.6%), and 35 high school students (28.5%). The first step was research design. Educational targets were selected and informed consent was obtained in step two. An initial survey was conducted as step three. Step four was a 45 minute-long theoretical educational intervention. Step five concluded with a survey and experiment on food selection behavior. RESULTS: As a result of conducting a 45 minute-long education on the principles, actual state of usage, and pros and cons of irradiated food for elementary, middle, and high-school students in Korea, perception, knowledge, attitude, and behavior regarding the irradiated food was significantly higher after the education than before the education (P < 0.000). CONCLUSIONS: The behavior of irradiated food selection shows high correlation with all variables of perception, knowledge, and attitude, and it is necessary to provide information of each level of change in perception, knowledge, and attitude in order to derive proper behavior change, which is the ultimate goal of the education.

• Journal of Environmental Impact Assessment
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• v.19 no.6
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• pp.573-581
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• 2010

Natural ecosystem is an essential part to connect with the plan for biodiversity conservation in response strategy against climate change. For connecting biodiversity conservation with climate change strategy, Europe, America, Japan, and China are making an effort to discuss protection necessity through national biodiversity valuation but precedent studies lack in Korea. In this study, we made biodiversity maps representing biodiversity distribution range using species richness in National Forest Inventory (NFI) and Forest Description data. Using regression tree algorithm, we divided various classes by decision rule and constructed biodiversity maps, which has accuracy level of over 70%. Therefore, the biodiversity maps produced in this study can be used as base information for decision makers and plan for conservation of biodiversity & continuous management. Furthermore, this study can suggest a strategy for increasing efficiency of forest information in national level.

• Safety and Health at Work
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• v.2 no.4
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• pp.313-320
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• 2011

Objectives: To analyze the association between changes in perceived physical and psychosocial working conditions and change of sickness absence days in younger and older (< 50 and ${\geq}50$ years) food industry employees. Methods: This was a follow up study of 679 employees, who completed working conditions survey questionnaires in 2005 and 2009 and for whom the requisite sickness absence data were available for the years 2004 and 2008. Results: Sickness absence increased and working conditions improved during follow-up. However, the change of increased sickness absence days were associated with the change of increased poor working postures and the change of deteriorated team spirit and reactivity (especially among < 50 years). No other changes in working conditions were associated with the changes in sickness absence. Conclusion: Sickness absence is affected by many factors other than working conditions. Nevertheless, according to this study improving team spirit and reactivity and preventing poor working postures are important in decreasing sickness absence.

• Journal of Korean Elementary Science Education
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• v.38 no.2
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• pp.216-233
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• 2019

The purpose of this study was to identify the aspects of elementary school students' interactions shown conceptual changes in collaborative scientific argumentation. Fifty sixth graders of an elementary school in Jeonju were selected for this study. Ten small groups consisting of five students each were organized evenly with considerations of their gender, science achievement, scientific discussion experience and degree of communication apprehension. 'Food web and Ecosystem' and 'Change of Moon shape' were selected as the proper topics of collaborative scientific argumentation in terms of difficulty to be understanded by the $6^{th}$ graders. The small group's dialogue was recorded. The students' activity sheets, field note and interviews of the participants were collected. Based on the collected data, we analyzed the aspect of small groups' interaction shown conceptual change of each student. The result of this study was as follows: The interaction aspects of the small group of students who showed conceptual changes in the collaborative scientific discussion have a tendency of showing their discussion responses, explanation-opposition discourse, the use of rigorous criteria, their collaborative attitude and participation.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.37-39
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• 2000

The purpose of this paper is to present a neural network model based on change-point detection for the prediction of the U.S. Treasury Securities. Interest rates have been studied by a number of researchers since they strongly affect other economic and financial parameters. Contrary to other chaotic financial data, the movement of interest rates has a series of change points due to the monetary policy of the U.S. government. The basic concept of this proposed model is to obtain intervals divided by change points, to identify them as change-point groups, and to use them in interest rates forecasting. The proposed model consists of three stages. The first stage is to detect successive change points in the interest rates dataset. The second stage is to forecast the change-point group with the backpropagation neural network (BPN). The final stage is to forecast the output with BPN. This study then examines the predictability of the integrated neural network model for interest rates forecasting using change-point detection.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.235-241
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• 2000

This article suggests integrated neural network models for the interest rate forecasting using change point detection. The basic concept of proposed model is to obtain intervals divided by change point, to identify them as change-point groups, and to involve them in interest rate forecasting. the proposed models consist of three stages. The first stage is to detect successive change points in interest rate dataset. The second stage is to forecast change-point group with data mining classifiers. The final stage is to forecast the desired output with BPN. Based on this structure, we propose three integrated neural network models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported neural network model, (2) case based reasoning (CBR)-supported neural network model and (3) backpropagation neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural networks (BPN)-supported neural network model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. This article is then to examine the predictability of integrated neural network models for interest rate forecasting using change-point detection.

• Journal of The Korean Association For Science Education
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• v.22 no.5
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• pp.923-943
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• 2002

The purpose of this study was to investigate the relation between the levels of cognitive conflict and students' conceptual change. In this study, 30 Korean high school students were selected from 450 10th graders by examining the pretest results. Two different strategies were used to induce cognitive conflicts in students, an anomalous or conflict situations; demonstrations and logical arguments against students' preconception. After arousing the students' cognitive conflict, the level of cognitive conflict was rated. Pretest, post-test and delayed post-test were administered to check the conceptual change. The tests consisted of 5 items in mechanics and electricity, respectively. Therefore, the demonstration method showed effective conceptual change, more than the logical argument method did. Students changed their conceptions more easily and frequently in the area of mechanics than in electricity. Students who showed higher levels of cognitive conflict indicated more positive conceptual change than those who showed lower conflict levels. 59 cases (56%) out of 105 who experienced high levels of cognitive conflict were changed into scientific conceptions one month later; however only 16 cases (35%) out of 46 who experienced low levels of cognitive conflict changed into scientific conceptions. Students who experienced higher levels of cognitive conflict showed higher rates of conceptual change. It could be concluded that designing instruction to induce cognitive conflict is a useful strategy to promote conceptual change.

• Journal of Climate Change Research
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• v.7 no.1
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• pp.69-75
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• 2016

Recently, many countries all over the world have been suffered from disaster caused by climate change. Especially in case of developed countries, the disaster is concentrated in the industry sector. In this research, we analyzed industrial vulnerable homogeneous hotspot for the climate change using spatial autocorrelation analysis on the south Korea. Homogeneous hot spot areas through autocorrelation analysis indicate the spatial pattern of areas interacted each other. Industry sector have responsibility of green house gas emissions, and should adapt to the climate change caused by greenhouse gas already released. So, we integrated the areas sensitive to mitigation option with the areas hardly adapt to climate change because of vulnerable infrastructure. We expected that the result of this research could contribute to the decision-making system of climate change polices.