I. introduction. A government goal at the present is established to make a welfare nation and to keep people's safe living, but it is criticised that when a large-scale disaster happens, the authority concerned could not deal with it, causing many people injured and material damage. Moreover, in these days, cities have many risk factors. extremely large and intelligent building, industrial facilities and underground equipment have many risk themselves along with scientific progress. The cope with disaster effectively, government must have efficient organization, skillful personnel, tool, facilities and so on. To reduce the damages, what's the most effective government organization\ulcorner II. Government organization for managing disaster In a few decades, a large-sized accidents broke out in korea, for example, collapse of Sampoong department store, break of Sungso bridge, explosion of Daegu city gas, gas explosion accident at Ahyon-dong etc. but government has not any adequate disaster response organization. Especially, after collapse of Sampoong department store broke out, Disaster Management Act is enacted to solve the past problem. According to Disaster management Act, disaster is limited in manmaid disaster. Therefore, in this thesis, disaster management is inspected theoretically, organization of disaster management for pattern of disaster, and role, duty of government organization, emergency relief organization system and actual conditions are analyzed. there are some problems. there are trials and errors. the government has changed the disaster management organization by the disaster management law. the organization consists of central and local government. but both of government do not work together harmoniously. in thesis, I would like to introduce the advanced nations disaster management organization, and study our central, local government organization. III. Conclusion Change and development of the government disaster management organization is the goal of this thesis. we have to increase public service in response and manage disaster. protecting civilian's life from the disaster is very important responsibility of government. there would be better way of government disaster management organization.
Purpose: This study attempts to identify the effects of abdominal strength training using proprioceptive neuromuscular facilitation (PNF) on the balance ability and pain level of patients with chronic lower back pain. Methods: A total of 30 patients with chronic lower back pain were randomly divided into either experimental group I (n=10), who received abdominal strength training using PNF, experimental group II (n=10), who received abdominal strengthening training, or the control group (n=10), who received conventional physiotherapy. The interventions were applied three times a week for six weeks. We measured Berg's balance scale (BBS) in order to investigate the change in balance ability, while we measured the visible analogue scale (VAS) to determine the severity of pain. We conducted a paired t-test to compare the within-group change before and after the intervention. For the comparison of the between-group difference, we used a one-way ANOVA test. Tukey's test was used as a post hoc test. The statistical significance level was set at ${\alpha}=0.05$ for all the variables. Results: Experimental group I and experimental group II showed a significant within-group change in BBS (p<0.01). A statistically significant between-group difference was observed in terms of the change in BBS (p<0.01). According to the results of the post hoc Tukey test, experimental group I and experimental group II showed a more effective change in BBS than the control group. Experimental group I, experimental group II, and the control group all showed a significant within-group change in the VAS (p<0.01). There was a statistically significant between-group difference in terms of the change in the VAS (p<0.01). According to the results of the post hoc Tukey test, the change in the VAS was more effective in experimental group I than in experimental group II and the control group. Conclusion: In this study, the application of abdominal strength training using PNF for subjects who complained of chronic lower back pain proved effective in improving their balance ability and reducing pain. We therefore believe that this training method could be applied as a useful program for patients with chronic lower back pain.
This study was performed to examine the effect of a 7-week comprehensive health promotion program for improving pain, depression, and disability by employing a quasi-experimental design. The subjects were regular out-patients of a RA aclinic in an University Hospital in Inchon from November 11. 1998 to December 24. 1998. The Experimental group included 18 patients who participated in an arthritis health promotion program, and the control group included 18 patients who did not. The 7-week health promotion program, which had the objective to enhance health promoting skills, was provided to patients. The effects of this program on the patients' pain, depression, and functional disability were examined. According to the study results, a significant group difference was found on these dependent variables (Hotelling's T =.30, F=3.11, p=.04). To examine which dependent variables had significant effects, one-way ANOVAs were performed. There were significant group differences in pain (F=4.35, p=.05) and in depression (F=4.22, p=.05) However, no significant group differences on functional disability (F=.04, p=.84) were found. Conclusively, the arthritis health promotion program, which was designed to enhance 11 health promoting skills, can be evaluated as successfully achieving the ultimate goal of enhancing the patients' quality of life. It can also be contended that the improvement of the patients' quality of life was enabled by relieving pain and reducing depression.
Park, Dae Woong;Jeong, Hyun Hak;Jeong, Myung Jin;Ryoo, Hwa Shin
The Korean Society of Law and Medicine
/
v.17
no.2
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pp.315-346
/
2016
With the development of big data processing technology, the potential value of healthcare big data has attracted much attention. In order to realize these potential values, various research using the healthcare big data are essential. However, the big data regulatory system centered on the Personal Information Protection Act does not take into account the aspect of big data as an economic material and causes many obstacles to utilize it as a research purpose. The regulatory system of healthcare information, centered on the primary purpose of patient treatment, should be improved in a way that is compatible with the development of technology and easy to use for public interest. To this end, it is necessary to examine the trends of overseas legal system reflecting the concerns about the balance of protection and utilization of personal information. Based on the implications of the overseas legal system, we can derive improvement points in the following directions from our legal system. First, a legal system that specializes in healthcare information and encompasses protection and utilization is needed. De-identification, which is an exception to the Privacy Act, should also clearly define its level. It is necessary to establish a legal basis for linking healthcare big data to create synergy effects in research. It is also necessary to examine the introduction of the opt-out system on the basis of the discussion on the foreign debate and social consensus. But most importantly, it is the people's trust in these systems.
As the cloud environment has become more prevalent among large companies, small and medium-sized companies are also trying to utilize various technologies (IoT, blockchain, etc.) that use cloud services as a way to coexist with large companies. In this paper, a blockchain-based IoT information collection model is proposed to efficiently handle large volumes of IoT data produced by small businesses in order to improve information efficiency of SMEs. The proposed model allowe d small businesses to improve their production efficiency by independently creating groups of the same information so that data that could be generated at the endpoints of small businesses can be block-chained and forwarded to the data center for analysis. In addition, the proposed model's performance assessment was assumed to handle the production throughput of data processed in IoT for small and medium businesses, not large enterprises, so the link between large volumes of data processed in the proposed model could be maintained evenly. One of the biggest features of the proposed model is the ability to expand processes to efficiently control the information of prod ucts produced, as well as the productivity of small and medium enterprises.
Kim, Jiyeon;Yoon, Taekyung;Han, Saerom;Park, Chanwoo;Lee, Suekyung;Kim, Sohee;Lee, Eunae;Son, Yowhan
Journal of Climate Change Research
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v.3
no.4
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pp.281-291
/
2012
Forests act as carbon sinks and also improve water resources and biodiversity to climate change. Secure funding, administrative support, and sustainable management systems are essential to conserve forests and to implement international forestry related projects to climate change. Public private partnership (PPP) could be an effective way for forestry sector in developing countries. Awareness analysis should be preceded in order to encourage participation of enterprises for the diversification of funding and the enhancing quality of projects. We conducted a survey targeting more than 129 private enterprises for awareness analysis. As a result, lack of information, complexity of processes and low profit resulted in low interest on forest projects from private enterprises. Improving awareness of recipient countries on forest resources, financial and institutional supports from the public sector, information sharing, performance management and equal partnership between sectors were suggested to encourage PPP in international forestry related projects to climate change.
Kwon, Jo Eun;Kim, Gwang Suk;Park, Jeongok;Kim, Sue
Women's Health Nursing
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v.25
no.3
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pp.329-344
/
2019
Purpose: This study aimed to identify utilization of the work-family support policy (WFSP) and factors affecting retention intention among Korean female military officers. Methods: This cross-sectional survey recruited 103 married female officers from the Korean Army, Navy, and Air force with preschool-aged children through convenience and snowball sampling. Via online surveys from June to November, 2018, the participants self-reported retention intention, work-family conflict, job satisfaction, and utilization of the WFSP. The data were analyzed using descriptive statistics, independent t-tests, one-way analysis of variance, Pearson's correlation coefficient, and multiple linear regression. Results: Retention intention ($22.29{\pm}5.98$) was reported at the mid-level, lower than scores reported in the literature for female workers. Work-family conflict ($32.51{\pm}5.29$) and job satisfaction ($63.10{\pm}7.45$) were above the midpoint levels. Use of maternity leave (100.0%) and parental leave (92.2%) was high, especially compared to the rates of child-care day off (20.4%) and parenting time (20.4%). 'Noticeable increases in childcare services within the army' (22.8%) was reported as the supportive measure needed the most by female military officers. Job satisfaction (${\beta}=.43$, $p{\leq}.001$), the use of parenting time (${\beta}=-0.29$, p=.002), living type (${\beta}=-.18$, p=.043), and service type (${\beta}=-.16$, p=.035) significantly influenced retention intention. Conclusions: The findings highlight the priority areas of importance within the WFSP and suggest that a family-friendly culture can improve female officers' retention intention. Accordingly, policy changes at the Ministry of National Defense improving the system to enhance a family-friendly culture in the military is expected to strengthen the retention intention of female officers and contribute to excellence in the military workforce.
Journal of the Korea Academia-Industrial cooperation Society
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v.22
no.1
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pp.379-384
/
2021
Despite the numerous graduates being produced in practical music and history, which have not been shorter than 30 years, the employment of students remains an unsolvable task. Most graduates are employed by private institutes as music instructors or got involved in band activities, which are non-regular work and not stable. The rapid development of K-pop along with national strength has changed our lives as well. As a result, the cultural and artistic fields, which were previously recognized only as luxury, have rapidly become popular. In the form of learning, internalized and experiencing, not just watching has a huge impact on improving the quality of our lives. This is reflected in national policies including the operation of cultural arts, education programs in elementary, middle, and high schools, and art programs designed to improve the welfare of residents at local community centers. It is time to expand its job-horizon to the relevant fields, and thus focus on promoting programs related to obtaining certificates to help our students find jobs. In addition, the government should create a course for music teacher certification in the field of practical music that differs from the current music teacher certification of secondary schools. It is very urgent to establish the teaching course in four-year universities or graduate schools of practical music education.
Journal of the Korea Academia-Industrial cooperation Society
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v.11
no.4
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pp.1419-1429
/
2010
Industry structure and environment of the domestic bank have been changed by an influx of large foreign-banks and advanced financial products when the currency crisis erupted in Korea. In a competitive environment, accurate forecasts of changes and tendencies are essential for the survival and development. Forecast of whether to approve loan applications for customer or not is an important matter because that is related to profit generation and risk management on the bank. Therefore, this paper proposes the method to improve forecast accuracy of loan underwriting. Processes in experiments are as follows. First, we select the predictor variables which affect significantly to the result of loan underwriting by correlation analysis and feature selection technique, and then cluster the customers by the 2-Step clustering technique based on selected variables. Second, we find the most accurate forecasting model for each clustering by applying LR, NN and SVM. Finally, we compare the forecasting accuracy of the proposed method with the forecasting accuracy of existing application way.
Though it has been known that self-efficacy is a predictor to the successful L2 learning, the majority of studies on self-efficacy cases were targeted at secondary school students. This paper aims to explore the effects of the intermediate college students' essay writing experiences on their English self-efficiency. For this purpose, pre and post course surveys were conducted on a hundred or so freshmen who took intermediate college English classes which focused on improving English reading and writing skills. Interviews with teachers were also conducted in order to find out whether the differences of their teaching styles had any meaningful impact on their students' self-efficacy. Paired t-test was run on the responses of the post-questionnaire to identify any differences in the self-efficacies of the students before and after taking the classes, and the one-way ANOVA was conducted to find out whether the different instruction types had any significant impact on the differences. The results of the both analyses confirmed the differences of self-efficacies by the two predictors at a statistically significant level. Based on the findings of this paper, various types of writing assignments and efficient procedures of teachers' feedback need to be developed further in order to design and run an effective college English course which can contribute to enhancing self-efficacy of students.
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