• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.104-111
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• 2019

The purpose of this study is to know the change of brain wave with stress by SUKI pressure alternative therapy. The experiment group was 12 students(male 6/female 6) with complained upper trapezius pain. Calculated the brain wave before and after stimulate the upper trapezius trigger point by SUKI and the stimulate time was 3min each persons(FP2, F3, F4, FP1, T3, T4, P3, P4). the experimet periods was 5times in a weeks with EEG(QEEG-S). The Date collecting used by Telescan(LXE5209). All the data was analyzed with SPSS 22.0 for window program. To compare the differences before and after the point pressure method, a corresponding sample of t-test was performed, and the statistical significance level was p<.05. The results was followed. The points of Fp2, F3, F4(*p<0.049, *p<0.042, *p<0.019) of EEG was showed a significant differences but Fp1, T3, T4, P3, P4 points did not showed. The SUKI alternative medicine techniques had a reduced effects for the some kind of brain stress. It is need to continuous research in the future.

• Journal of the Korean Society of Earth Science Education
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• v.12 no.1
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• pp.27-39
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• 2019

The purpose of this study is to develop a STEAM program for teaching climate change through CLAMP (Climate-Leaf Analysis Multivariate Program) paleoclimate inquiry in connection with high school 'Integrated Science' subject. In order to do so, we analyzed the 2015 revised national curriculum and science textbook in terms of the PDIE instructional design model, and developed the teaching-learning materials for 10 class hours through expert panel discussion and pilot test. According to the STEAM class procedure, in the situation presentation stage, the fossil leaves were collected from the dicotyledon plants near school, and the LMA (Leaf Margin Analysis) climate inquiry activity. was presented as the learning goal. During the creative design stage, students were taught about geology and leaf fossils in the study region, and CLAMP input data (31 characteristics of morphotype and leaf architectural of fossil leaves) were given. In the emotional experience and new challenge stage, we collected leaf fossils for outdoor learning, explored paleoclimate with CLAMP method, and promoted climatic literacy in the process of discussing tendencies and causes of Cenozoic's climate change. The validity of the development program was assessed (CVI .84) as being suitable for development purpose in all items through the process of establishing reliability among expert panel. In order to apply the program to the high school, a pilot test was conducted to supplement the discrepancies and to review the suitability. The satisfaction rate of the participants was 4.48, and the program was complemented with their opinions. This study will enable high school students to have practical knowledge and reacting volition for climate change, and contribute to fostering students' climate literacy.

• 재활복지
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• v.22 no.3
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• pp.23-39
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• 2018

The fourth industrial revolution and technological innovation will make the job factor of people with disabilities complicated and difficult. Thus, this study analyzed the technical factors influencing the job structure and tried to find a way to develop the job of the people with disabilities in response to the 4th Industrial Revolution by changing the labor market and changing the trend of the employment by industry. The methods for this study are literature research and FGI. First, technological factors affecting the job structure of the Fourth Industrial Revolution are artificial intelligence, Internet and networking of things, 3D printing, big data, Second, technological innovation due to the industrial revolution was a major factor in the job structure. As the industrial revolution and technological innovation progressed, the job structure shifted rapidly from the manufacturing industry to the service industry, Third, as the measures of the 4th Industrial Revolution and the change of the job structure, it is necessary to make preemptive investment for the development of competency to cope with technological innovation, Finally, in order to respond to the Fourth Industrial Revolution and the rapidly changing technological innovation, the basic data of people with disabilities should be able to be big data.

• 한국노년학
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• v.37 no.2
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• pp.293-308
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• 2017

This study aims to examine Life Managers for Elderly People Living Alone (LMEPLAs) in Seoul regarding their traumatic experience and the status of their posttraumatic stress disorder and also how they are coping with it in order to find out ways to improve it. As a study method, we investigated LMEPLAs in Seoul through a self-administered survey regarding whether they had faced any traumatic experience, types of their traumatic experience, diagnosis on posttraumatic stress, and the status of their coping with traumatic experience. According to the study results, 186 respondents (37.57%) have been found to indicate either partial or complete posttraumatic stress symptoms, but the status of their coping with it is very poor. The followings are the results of our discussion. First, it is needed to find out life managers suffering from posttraumatic stress disorder and build up a system to manage them consistently. Second, it is necessary to vitalize education about traumatic experience and posttraumatic stress management. Third, it is urgently needed to build up a system to support life managers who have faced any traumatic experience or been diagnosed to have posttraumatic stress disorder. Fourth, it is demanded to cultivate and arrange experts equipped with specialized knowledge and technique. Fifth, it is needed for them to build a network with medical institutes to receive a prompt diagnosis and specialized treatment.

• Journal of Climate Change Research
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• v.4 no.1
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• pp.27-39
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• 2013

In this study, the anthracite coal being used as fuel in Korea were classified into different types. These types include the domestically produced anthracite, imported anthracite used as raw material, and imported anthracite used as fuel. Each of the calorific values and greenhouse gas emission factors were calculated. The calculation of greenhouse gas emission factors resulted in the domestically produced anthracite as $111,477{\pm}4,508kg\;CO_2/TJ$, the imported anthracite used as raw material as $108,358{\pm}4,033kg\;CO_2/TJ$, and anthracite used as fuel was displayed as $103,927{\pm}8,367kg\;CO_2/TJ$. Additionally, the amount of greenhouse gas emission based on these calculated emission factors was displayed as $6,216,942ton\;CO_2$, which resulted as 12.7% lower than the green house gas emission amount which was calculated without distinguishing anthracite coal in details. Therefore, collecting activity data through a detailed classification of anthracites facilitate a more accurate calculation of greenhouse gas emission amount compared to collecting activity data through combination. Furthermore, since the anthracite coal used domestically possesses characteristics differing from the anthracite coal proposed by the IPCC, anthracite coal should be classified for each purpose and calculated for the improvement of the national greenhouse gas inventory.

• Therapeutic Science for Rehabilitation
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• v.8 no.1
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• pp.73-84
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• 2019

Objective: The purpose of this study is to compare the effect of Lee Silverman Voice Treatment-BIG(LSVT-BIG) intervention which consisted of standardized exercise programs and occupation-based activities for people with Parkinson Disease(PD) on motor functions and quality of life Methods: This study applied a one group pretest-posttest design. The experiment was divided into two parts: pre intervention and post intervention period. Before and after LSVT-BIG intervention, Unified Parkinson's Disease Rating Scale(UPDRS), Time up and go(TUG), Parkinson's Disease Questionnaire-39(PDQ-39) were used to measure the participants' motor functions and quality of life. Based on the LSVT-BIG protocol, three participants received 16 one-hour sessions over 4 weeks by a certified occupational therapist. The results were analyzed by using SPSS. Results: There were improvements in UPDRS and TUG. Additionally, PDQ-39 scores decreased in all participants, which means that their quality of life was improved. Conclusions: The study demonstrated positive effects of LSVT-BIG intervention on motor functions and quality of life of patients with PD.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.535-546
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• 2018

This study conducted a meta-analysis to examine syntagmatically on the variables related with recovery among persons with mental illness in Korea. In order to do a meta-analysis, theses and dissertations published between 1999 and 2018 in Korea were reviewed systematically and a total of 24 including studies were selected. Using Comprehensive Meta Analysis (CMA) 3.0 software, this study calculated average effect size and moderator variables related with recovery among persons with mental illness. Results were as follows. First, this study identified a total of 16 variables related with recovery among persons with mental illness. Second, the results indicated that variables which showed large effect sizes included social support(r=.575), empowerment(r=.555), self-efficacy(r=.544), social skill(r=.500), relationship with social worker(r=.482), stigma(r=-.446), family support(r=.418). Third, variables with medium effect sizes included interpersonal relationship capacity (r=.391), agency service satisfaction(r=.366), insight(r=.373) and symptom(r=-.239). Fourth, variables with small effect sizes included work experience(r=.188). Fifth, moderator analyses were conducted utilizing characteristics of residence state (community or mental hospital). Moderator effects were identified in the social support and family support. Based on the findings, theoretical and clinical implications for the recovery among persons with mental illness in Korea were discussed.

• Journal of vocational education research
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• v.37 no.1
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• pp.55-75
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• 2018

The purpose of this study was to develop the evaluation scales that can access hierarchically the lifelong education field training program based on relevant stakeholders. To fulfill this purpose, both qualitative and quantitative research methods were applied. First of all, four groups of stakeholders were selected such as trainees, professors, field instructors, and program inspectors. The in-depth interviews with 13 experts in the field were conducted, and as a result, the scale with hierarchy of evaluation area, evaluation section, and evaluation item for each stakeholder was developed. In order to verify the content validity of the evaluation scales, delphi surveys for each stakeholder were conducted, using 35 expert panels. After delphi survey, the scale was applied to 90 trainees, 22 professors, and 31 field instructors. SPSS program was used to analyze the descriptive statistics, validity, and reliability. Finally, the evaluation scale of the trainer was identified as 8 evaluation areas, 14 evaluation sections and 51 evaluation items. And the professor's scale consisted of 6 areas, 10 sections and 40 items. The field instructor's scale was determined as 3 areas, 7 sections and 31 items, and the program inspector's evaluation scale was confirmed as 7 areas, 15 sections, and 32 items.

• Journal of vocational education research
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• v.29 no.3
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• pp.107-132
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• 2010

The purpose of this study was to investigate the effects of learning achievement by comparing project approach group and the control group on the unit of growing flowers and vegetables in practical arts education. For this purpose, the experimental study on the unit of growing flowers and vegetables was achieved with 63 students(5th grade 2 classes) in S elementary school. The project approach model (Chung, Sung-bong) was applied to the experimental group, and the traditional model to the control group. To verify the effects of each class, nonequivalent control group post test-only design was applied 10 times. The SPSSWIN(ver 12. 0. 1) was used for analyzing the frequency and t-tests. The results of this study were as follows ; First, there was significant effect of learning achievement(cognitive domain) in the project approach groups. In addition, learning achievement of the experimental group has been showed significant difference about intellectual function and ability but not about knowledge. Second, there was significant effect of learning achievement(psychomotor domain) in the project approach groups. In other words, there has been showed significant difference in basic skill and integrated skill for growing flowers and vegetables but not in elemental skill for planting. Third, as the post test, there existed significant effect(affective domain) in the project approach groups. In other words, there was a meaningful difference in acceptance, value, belief, actualization but not in interest. Based on these results, It is believed that the project approach model in the unit of 'growing flowers and vegetables' is more effective than the traditional learning method in learning achievement of learners' cognitive, psychomotor and affective domain.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.1
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• pp.165-174
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• 2019

As a nonstationarity is observed in hydrological data, various studies on nonstationary frequency analysis for hydraulic structure design have been actively conducted. Although the inherent diversity in the atmosphere-ocean system is known to be related to the nonstationary phenomena, a nonstationary frequency analysis is generally performed based on the linear trend. In this study, a nonstationary frequency analysis was performed using climate indices as covariates to consider the climate variability and the long-term trend of the extreme rainfall. For 11 weather stations where the trend was detected, the long-term trend within the annual maximum rainfall data was extracted using the ensemble empirical mode decomposition. Then the correlation between the extracted data and various climate indices was analyzed. As a result, autumn-averaged AMM, autumn-averaged AMO, and summer-averaged NINO4 in the previous year significantly influenced the long-term trend of the annual maximum rainfall data at almost all stations. The selected seasonal climate indices were applied to the generalized extreme value (GEV) model and the best model was selected using the AIC. Using the model diagnosis for the selected model and the nonstationary GEV model with the linear trend, we identified that the selected model could compensate the underestimation of the rainfall quantiles.