• Journal of agricultural medicine and community health
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• v.44 no.4
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• pp.209-219
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• 2019

Objectives: This study investigated musculoskeletal symptoms in upper limbs according to the working environment (job stress) of dental hygienists and examine their relationship with upper limb functions. Methods: The subjects include 198 dental hygienists in dental hospitals and dental clinics in Pusan and Gyeongnam. The questionnaire was consisted of general characteristics of the subjects, job stress, musculoskeletal symptoms in upper limbs and function (Disability Measurement Tool for Upper Extremity Disorders-11, DASH-11). Results: The study was analyzed their musculoskeletal symptoms in upper limbs according to their general characteristics and found that the symptoms occurred in the neck (39.4%), the shoulders (54.6%), elbows (14.7%), and the hands (50.0%). Job stress was associated with upper limb functions (DASH-11) (model 3, B=5.210, p=0.012) and repeated elbow bending and spreading posture was associated with DASH-11 (model 3, B=6.561, p=0.029). Elbow symptoms were associated with DASH-11 in the upper limbs (B=10.679, p=0.003). Conclusion: Dental hygienists are experiencing limitations of upper limb function due to job stress. In particular, even if the correction of their uncomfortable posture is significantly related to the job stress and upper limb function, in order to improve the upper limb function of the dental hygienist, efforts to reduce the job stress as well as the uncomfortable posture are necessary.

• Korea and Global Affairs
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• v.2 no.1
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• pp.113-136
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• 2018

The purpose of this study is to start from the recognition of the problem of why the sanctions of the international community could not indicate a great effect. In order to find answers to this question, this study focuses on China's aid to North Korea and analyzes the determinants of support for North Korea. Despite a tough international community's sanctions against North Korea, China has taken a dual stance on sanctions and support for North Korea. As for this dual attitude of China, this study approaches the internal and external situation of the support to the North with the rationale for the Two-level game theory. China's sanction against North Korea could be divided into two categories: external factors and domestic factors. These factors include strengthening supremacy in China, checking the US, playing a responsible role in China, securing resources in North Korea, sustaining stable growth in China, maintaining the legitimacy of China's socialist political system, and spreading the Beijing consensus. Based on the analysis of these factors, it could be expected that China's aid for North Korea will be official, informal, or continuous, and it will be difficult for the North to stop supporting North Korea or deteriorating North Korea- China relations.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.27-65
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• 2020

Many companies on information and communication technology make public their own developed AI technology, for example, Google's TensorFlow, Facebook's PyTorch, Microsoft's CNTK. By releasing deep learning open source software to the public, the relationship with the developer community and the artificial intelligence (AI) ecosystem can be strengthened, and users can perform experiment, implementation and improvement of it. Accordingly, the field of machine learning is growing rapidly, and developers are using and reproducing various learning algorithms in each field. Although various analysis of open source software has been made, there is a lack of studies to help develop or use deep learning open source software in the industry. This study thus attempts to derive a strategy for adopting the framework through case studies of a deep learning open source framework. Based on the technology-organization-environment (TOE) framework and literature review related to the adoption of open source software, we employed the case study framework that includes technological factors as perceived relative advantage, perceived compatibility, perceived complexity, and perceived trialability, organizational factors as management support and knowledge & expertise, and environmental factors as availability of technology skills and services, and platform long term viability. We conducted a case study analysis of three companies' adoption cases (two cases of success and one case of failure) and revealed that seven out of eight TOE factors and several factors regarding company, team and resource are significant for the adoption of deep learning open source framework. By organizing the case study analysis results, we provided five important success factors for adopting deep learning framework: the knowledge and expertise of developers in the team, hardware (GPU) environment, data enterprise cooperation system, deep learning framework platform, deep learning framework work tool service. In order for an organization to successfully adopt a deep learning open source framework, at the stage of using the framework, first, the hardware (GPU) environment for AI R&D group must support the knowledge and expertise of the developers in the team. Second, it is necessary to support the use of deep learning frameworks by research developers through collecting and managing data inside and outside the company with a data enterprise cooperation system. Third, deep learning research expertise must be supplemented through cooperation with researchers from academic institutions such as universities and research institutes. Satisfying three procedures in the stage of using the deep learning framework, companies will increase the number of deep learning research developers, the ability to use the deep learning framework, and the support of GPU resource. In the proliferation stage of the deep learning framework, fourth, a company makes the deep learning framework platform that improves the research efficiency and effectiveness of the developers, for example, the optimization of the hardware (GPU) environment automatically. Fifth, the deep learning framework tool service team complements the developers' expertise through sharing the information of the external deep learning open source framework community to the in-house community and activating developer retraining and seminars. To implement the identified five success factors, a step-by-step enterprise procedure for adoption of the deep learning framework was proposed: defining the project problem, confirming whether the deep learning methodology is the right method, confirming whether the deep learning framework is the right tool, using the deep learning framework by the enterprise, spreading the framework of the enterprise. The first three steps (i.e. defining the project problem, confirming whether the deep learning methodology is the right method, and confirming whether the deep learning framework is the right tool) are pre-considerations to adopt a deep learning open source framework. After the three pre-considerations steps are clear, next two steps (i.e. using the deep learning framework by the enterprise and spreading the framework of the enterprise) can be processed. In the fourth step, the knowledge and expertise of developers in the team are important in addition to hardware (GPU) environment and data enterprise cooperation system. In final step, five important factors are realized for a successful adoption of the deep learning open source framework. This study provides strategic implications for companies adopting or using deep learning framework according to the needs of each industry and business.

• Journal of Korean Port Research
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• v.6 no.2
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• pp.65-92
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• 1992

The Korean central government has not appreciate the full extent of the impact of seaports on the national economy. As a consequence port investment has not been given sufficient priority and capacity has failed to keep pace with demand. The principal reason for this failure is the fact that the linkages (or relationships) of the port transport industry with other sectors have not been quantified and fully appreciated. To overcome this dificiency this paper developed a port input-output model to determine the economic impact of the port industry on the national economy. This impact study was conducted by analysing the impact of the Korean port industry upon the national economy from the macroeconomic viewpoint, and identifying the spreading effects of port investments upon the nation's economy. The analysis of the economic impact of the port industry suggests that its contribution to the Korean economy is substantial. What the model shows is, in quantifiable terms, there are the strong economic linkages between the port industry and the other sectors of the national economy. The contribution of the port industry to the Korean economy was summarised in the Conclusion section.

• The Korean Journal of Archival Studies
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• no.23
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• pp.227-256
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• 2010

This paper has two aims (1) to address the common European past by way of considering the development of the official archives of the European Union; and (2) to give specific attention to the activities of archivists in Germany. The EU archives contain the all the documents officially recording the common history of European integration from the establishment of the European Coal and Steel Community in 1951. It was at the beginning of the 1980s, thirty years after the production of these documents, however, that the Archives of the European Community (EC) began to be systematized for public use when the European University Institute in Florence in Italy was chosen as the deposit location for the archive. After the coming into effect of the Maastricht Treaty in 1993, the EC Archives were renamed as the EU Archives. Through the cooperation of the national archives of the each Member State of the EU with this EC Archives common norms regarding deposit were developed. This archives is a veritable gold mine for serious research into all and any official aspect of the institutional and policy history of today's EU, so for the formation of common European identity. The denazification process using the evidence of the archives contributed to the orientation of the New Germany towards Europe. The German archives then have been contributing to the redressing the past to a significant degree since after the Second World War. More recently, the establishment of the "Memory, Responsibility, and Future" Foundation in 2000 in Germany made possible cooperations with the archives of the East European countries and especially for the purpose of the providing evidence about former enforced workers under the Nazi regime. There has thus been developed European-wide networks among archives. These developments have furthered the common redressing of the European past and this process in turn has been contributing the enhancing the European spirit and identity. The thesis of this paper then is that historical research based on the EU archives and individual Member States can not only illuminate in great detail the stages of the history of European integration to date. The dissemination of such research can itself contribute to the process of the spreading of supranational ideas beyond Europe to other regions of the world.

• The Korean Society of Law and Medicine
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• v.20 no.3
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• pp.235-262
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• 2019

While traditionally threatening human infectious diseases are decreasing, chronic diseases such as cancer and diabetes, including cardiovascular diseases, are spreading rapidly. Reflecting the characteristics of chronic diseases that are difficult to treat, the management of risk factors and the preparation of health promotion policies corresponding to them have emerged as important concerns around the world. Providing so-called multi-sector approach such as health promotion and disease prevention policy and solution for community response, The value of primary care is once again highlighted in the changed medical environment. As the existing medical delivery system has become difficult to cope with the people's desire for rapid aging, disease paradigm change, and quality of life improvement, European Union countries have made various efforts to improve the quality of their primary medical system, which provides continuous, com- prehensive and coordinated management. This paper examines the current status and problems of the healthcare delivery system in Korea, draws implications from the European Union examples related to the strengthening of primary care, and discusses the plans for establishing a patient-centered future medical delivery system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.9
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• pp.2097-2104
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• 2013

Scientific and technological research data is increasing exponentially and, Kisti(Korea Institute of Science and Technology Information) built and supported GSDC(Global Science experimental Data hub Center) depending on the needs processing large data computing and storage devices. Mobile web standards-based the MUPS was built for global community and services of gsdc to spreading mobile devices rapidly. And for analyze Operational status and system resources of GSDC at n this paper researched and implemented system resource monitor method of gsdc to mobile web environment, in this paper researched and implemented system resource monitor method of gsdc to mobile web environment. Research support system of GSDC operated by scientific linux. Sysstat resource monitoring tools create a daily report through sar(system analysis report), after sadc(system activity data collector) collected system resource utilization information. In this paper, sar reports designed and implemented in mobile web to can visualize in a mobile environment. We do not depend specific OS by implementation of the mobile web. So we are available in variety mobile OS. And through provided visual graph, this system can monitor easily and more conveniently then the existing system.

• Journal of the Korean School Mathematics Society
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• v.9 no.3
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• pp.249-263
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• 2006

The purpose of this study is to investigate the characteristics of 'best practire' in mathematics and suggest some solutions to several problems emerging in mathematics classes of secondary schools. The study was carried out by using qualitative research methods such as class observations and in-depth interviews with six teachers. Based on the collected data, we could sort out the major patterns which characterize 'the good mathematics teaching' at schools in Korea. The common characteristics of best practice in mathematics are drawn out from the six cases. The common characteristics include revising the curriculum and text books, realistic mathematics education, using ICT and meta-cognition, introduction with motivation and interest, performance assessment and managing differentiated small group. Results implied that six teachers used a variety of instructional methods and strategies which is related with the common characteristics of good mathematics teaching. Also these teachers not only improved their own classroom practices but also participated in various professional community of mathematics education and shared their practical knowledge. In conclusion assorted efforts from the government and the school principals as well as the teachers are prerequisite for practicing and spreading good mathematics teaching across the classrooms.

• Journal of Wetlands Research
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• v.9 no.1
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• pp.107-114
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• 2007

This study aimed to investigate the hexachlorobenzene (HCB) dechlorinating ability of sediment microbes collected from a natural canal receiving secondary effluents from an industrial estate and nearby factories. Nine sites along the stream and one in the estuary in the Gulf of Thailand into which the canal spills were specified and sampling for sediment and water. Preliminary analysis of the sediments showed that the first four sites nearest to the discharging location were contaminated by HCB within the range of 0.18 to 1.25 ppm. Apart from that, 1,3,5-trichlorobenzene which has never been commercially produced or used in any manufacturing processes except for the transformation from higher chlorinated benzene was also identified in the range of 0.16 to 0.24 ppm. This suggested a possibility of sporadically HCB contamination in this stream. Of more important, people in the community along this canal earn their living by coastal fishery; hence, posing a risk of spreading HCB and its less chlorinated congeners via food chain from caught marine creatures to human. As a result, there is an urgent need to understand the behavior of HCB dechlorination in this stream sediment which can lead to a clean-up action in the future. Serum bottles with sediment slurries (sediment to water ratio of 1:1 (v/v) and filtered to remove particles larger than 0.7 mm) from each site were inoculated with 2 mg/l of HCB, kept anaerobically in the dark at room temperature without any nourishment, and analyzed for HCB and its less-chlorinated congeners every 6 days. Total chemical oxygen demand, suspended solids, and volatile suspended solids were in the range of 21,492-73,584, 158,100-518,100 and 6,000-32,700 mg/l, respectively. It was found that all sediment slurries began to dechlorinate HCB in 12 to 30 days and the HCB was completely removed within 42 to 60 days or so. On the other hand, there was no HCB dechlorination occurred in the controlled set which was sterilized by autoclaving prior to the addition of HCB. This implies that the HCB transformation was solely due to microorganisms' activities. HCB was dechlorinated principally via pentachlolobenzene to 1,2,3,5-tetrachlorobenzene and terminated at 1,3,5-trichlorobenzene which is the major pathway as reported by many researchers. Dichlorobenzene has not been detected in any samples within the dechlorination period of 60 days. The results indicate that the microbial matrix in the sediment of this stream has an outstanding capability to dechlorinate HCB. Existing substrates and nutrients which mainly sorbed onto the solid phase and the typical temperature in Thailand were sufficient and suitable to promote the activities of these HCB-dechlorinating microbes.

• Journal of Life Science
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• v.25 no.12
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• pp.1399-1407
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• 2015

Klebsiella pneumoniae is found in the normal flora of the skin, mouth, respiratory tract, urinary tract, and intestines in human. However, the stain is opportunistic pathogen, which is the causative agent of community acquired pneumonia. Corn silk has been known to be effective for antimicrobial activity against pathogenic bacteria, including K. pneumoniae, Staphylococcus aureus, Bacillus subtilis, Shigella spp., Salmonella spp., Escherichia coli, Pseudomonas aeruginosa, et al. In this study we focused on the antimicrobial properties of con silk water extract of K. penumoniae. K. pneumoniae isolates K. pneumoniae ATCC 13883 and broad-spectrum β-lactamase (BSBL), exteded-spectrum β-lactamase (ESBL), carbapenemase-producers. Antimicrobial susceptibilities were determined by the disk diffusion method. Searches for bla genes were performed by PCR amplication and direct sequencing. MacConkey agar plate medium was prepared using the corn silk extracts (50% or 100%) instead of distilled water for antimicrobial activity test. The microbial growth inhibitory potential of K. pneumoniae was determined by using the MacConkey agar plate spreading method, and the plate was incubated 18 hr at 37℃. Genes encoding β-lactamases including SHV-1 (n=8), SHV-2a (n=8), SHV-5 (n=2), SHV-11 (n=2), SHV-12 (n=18), TEM-1 (n=10), CTX-M-3 (n=2), CTX-M-14 (n=2), CTX-M-15 (n=1), GES-5 (n=5), KPC-2 (n=6), KPC-3 (n=4), and NDM-1 (n=2) were detected. The corn silk extract showed significantly antimicrobial activity against K. pneumoniae ATCC 13883, but BSBLs, ESBLs, and carbapenemase producers were not. Therefore, corn silk extract is thought to be able to assist in the prevention and rapid recovery of infectious disease caused by K. pneumoniae.