Shin, Seong Eun;Cha, Ji Young;Kim, Kwang-Yon;No, Kyoung Tai
Analytical Science and Technology
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v.28
no.4
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pp.270-277
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2015
Boiling point (BP) is one of the most fundamental physicochemical properties of organic compounds to characterize and identify the thermal characteristics of target compounds. Previously developed QSPR equations, however, still had some limitation for the specific compounds, like high-energy molecules, mainly because of the lack of experimental data and less coverage. A large BP dataset of 5,923 solid organic compounds was finally secured in this study, after dedicated pre-filtration of experimental data from different sources, mostly consisting of compounds not only from common organic molecules but also from some specially used molecules, and those dataset was used to build the new BP prediction model. Various machine learning methods were performed for newly collected data based on meaningful 2D descriptor set. Results of combined check showed acceptable validity and robustness of our models, and consensus approaches of each model were also performed. Applicability domain of BP prediction model was shown based on descriptor of training set.
Lee, Jemin Justin;Lee, Hye Sun;Park, Soo Kyung;Cho, Ji Yeon;Lee, Bong Gyou
Journal of Satellite, Information and Communications
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v.9
no.4
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pp.111-116
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2014
Thanks to diffusions of mobile devices and advances of network technologies, demands for mobile app have been increased dramatically. It has resulted in mobile app industries as well as mobile app authoring tools are facing a crisis over subordinate to specific OS and platform such as iOS, Android and Apple App Store. Because these particular OS and platforms are obstacles to overcome for supporting interoperability and compatibility. In this study, we have conducted expert interviews and surveys to analyze status of mobile app markets and needs for mobile app user and developer. As a result, mobile app based on HTML5 leads to interconnect various mobile devises without additional efforts. Thereby, mobile app user and developer take a positive view of HTML5. However, mobile app developers tend to have the technical path dependence, they especially in venture and small enterprises need to government support for professional manpower training.
Proceedings of the Korean Institute of Navigation and Port Research Conference
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2006.06b
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pp.39-46
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2006
It is naturally to be expected that the stress of seafarers has some specific characters compared to other workers who are labouring on land. Because the physical rigors of working and living at sea has been endured as a part of job. The excessive stress caused by shipboard life, their jobs, can weaken the health status and court the work related accidents. Also it will be the immediate causes of marine accidents such as collision, sinking etc. In this paper, a questionnaire survey was undertaken to find out the approximate quantity and source of seafarer's occupational stress. And the heart rate of deck officers on duty was measured to develop a profile of correlation between the stress and the work.
The purpose of this study is to grasp the influence of incivility and stress experienced by Dental Hygiene (Department) students in clinical practice upon professional identity. The research subjects are totally 297 people. As a result of the analysis, The professional identity had a significant difference in a reason for application, in the academic department satisfaction, and in the satisfaction with the training institution among general characteristics. It was indicated that the incivility and the clinical-practice stress have a positive correlation and that the clinical-practice stress and the professional identity have a negative correlation. The influential element upon professional identity was a conflict with a patient among sub-factors of the academic department satisfaction and the clinical-practice stress. The explanation power accounted for 17.9%. Accordingly, to improve the professional identity, there is a need to develop and apply a program of reducing and coping with the clinical-practice stress. And a specific plan is necessary for increasing the satisfaction with the academic department.
Rehabilitation dog-walking can be used to improve physical activity and restore QOL in stroke patients. This study investigated the effect of rehabilitation dog-walking on the QOL and physical activity of stroke patients. Twenty-four stroke patients were recruited for this study. Twenty-four stroke patients were randomized 1:1 into two groups. The evaluator measured stroke specific-quality of life (SS-QOL), six minute walk test, and maximal grip strength on the affected and non-affected side. The experimental group received gait training with a rehabilitation dog for 30 minutes once a week for 8 weeks. As a result of the study, there was a significant increase in SS-QOL, six minute walk test, and maximal grip strength on the affected side in the experimental group after the intervention. In addition, the experimental group showed significant improvement in SS-QOL, six minute walk test, and maximal grip strength on the affected side than the control group. Rehabilitation dog-walking may be an intervention method that can improve QOL and physical activity after stroke.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2014.10a
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pp.736-738
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2014
As part of real-time streaming service, which is one of the latest QoS technology has become the issue. But the current majority of streaming services are specific S/W I a separate setup program supports real-time streaming service a reality, will be stored until the end of the video, save for a video about editing and is not available. In this paper, a video about multi-threaded and distributed processing system applied to the Storm technique based on separate software or installation of programs without the H T M L 5-based Web content is produced by each device using a Web browser, real-time streaming system you want, no. This is a streaming service that provides users with real-time editing and the footage is stored as about and respond in real time between the server and the client and content sharing that need training and will be utilized in the field of multimedia streaming.
This study aims to develop a patient-specific radiation exposure dose prediction model based on anthropometric data that can be easily measurable during CT examination, and to be used as basic data for DRL setting and radiation dose management system in the future. In addition, among the machine learning algorithms, the most suitable model for predicting exposure doses is presented. The data used in this study were chest CT scan data, and a data set was constructed based on the data including the patient's anthropometric data. In the pre-processing and sample selection of the data, out of the total number of samples of 250 samples, only chest CT scans were performed without using a contrast agent, and 110 samples including height and weight variables were extracted. Of the 110 samples extracted, 66% was used as a training set, and the remaining 44% were used as a test set for verification. The exposure dose was predicted through random forest, linear regression analysis, and SVM algorithm using Orange version 3.26.0, an open software as a machine learning algorithm. Results Algorithm model prediction accuracy was R^2 0.840 for random forest, R^2 0.969 for linear regression analysis, and R^2 0.189 for SVM. As a result of verifying the prediction rate of the algorithm model, the random forest is the highest with R^2 0.986 of the random forest, R^2 0.973 of the linear regression analysis, and R^2 of 0.204 of the SVM, indicating that the model has the best predictive power.
Kim, Chung Kwon;Park, Jee Soo;Kim, Eunji;Oh, Min-Kyun;Lee, Yong-Taek;Yoon, Kyung Jae;Joo, Kyeung Min;Lee, Kyunghoon;Park, Young Sook
BMB Reports
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v.55
no.10
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pp.512-517
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2022
Traumatic brain injury (TBI) is brain damage which is caused by the impact of external mechanical forces. TBI can lead to the temporary or permanent impairment of physical and cognitive abilities, resulting in abnormal behavior. We recently observed that a single session of early exercise in animals with TBI improved their behavioral performance in the absence of other cognitive abnormalities. In the present study, we investigated the therapeutic effects of continuous exercise during the early stages of TBI in rats. We found that continuous low-intensity exercise in early-stage improves the locomotion recovery in the TBI of animal models; however, it does not significantly enhance short-term memory capabilities. Moreover, continuous early exercise not only reduces the protein expression of cerebral damage-related markers, such as Glial Fibrillary Acid Protein (GFAP), Neuron-Specific Enolase (NSE), S100β, Protein Gene Products 9.5 (PGP9.5), and Heat Shock Protein 70 (HSP70), but it also decreases the expression of apoptosis-related protein BAX and cleaved caspase 3. Furthermore, exercise training in animals with TBI decreases the microglia activation and the expression of inflammatory cytokines in the serum, such as CCL20, IL-13, IL-1α, and IL-1β. These findings thus demonstrate that early exercise therapy for TBI may be an effective strategy in improving physiological function, and that serum protein levels are useful biomarkers for the predicition of the effectiveness of early exercise therapy.
Contemporary global space economy is so dynamic that any one specific structural force can not explain the whole dynamic processes or trajectories of spatial industrial development. The major purpose of this paper is extending the traditional notion of industrial districts to functioning and development of new industrial districts with relation to the development of high technology industries. Several dynamic forces, which are dominated in new industrial districts in the modern space economy, are incorporated in the formation and dynamic aspects of new industrial districts. Even though key forces governing Marshallian industrial district are localization of small firms, division of labor between firms, constructive cooperation, and industrial atmosphere, Marshall points out a possibility of growing importance of large firms and non-local networks in the districts with changes of external environments. Some of Italian industrial districts can be regarded as Marshallian industrial districts in broader context, but the role of local authorities or institutions and local embeddedness seem to be more important in the Italian industrial districts. More critical implication form the review of Marshallian industrial districts and Italian industrial districts is that the industrial districts are not a static concept but a dynamic one: small firm based industrial districts can be regarded as only a specific feature evolved over time. Dynamic aspects of new industrial districts are resulting from coexistence of contrasting forces governing the functioning and formation of the districts in contemporary global space economy. The contrasting forces governing new industrial districts are coexistence of flexible and mass production systems, local and global networks, local and non-local embeddedness, and small and large firms. Because of these coexistence of contrasting forces, there are various types of new industrial districts. Nine types of industrial districts are identified based on local/non-local networks and intensity of networks in both suppliers and customers linkages. The different types of new industrial districts are described by differences in production systems, embeddedness, governance, cooperation and competition, and institutional factors. Out of nine types of industrial districts, four types - Marshallian; suppliers hub and spoke; customers hub and spoke; and satellite - are regarded as distinctive new industrial districts and four additional types - advanced hub and spoke types (suppliers and customers) and mature satellites (suppliers and customers) - can be evolved from the distinctive types and may be regarded as hybrid types. The last one - pioneering high technology industrial district - can be developed from the advanced hub and spoke types and this type is a most advanced modern industrial district in the era of globalization and high technology. The dynamic aspects of the districts are related with the coexistence of the contrasting forces in the contemporary global space economy. However, the development trajectory is not a natural one and not all the industrial districts can develop to the other hybrid types. Traditionally, localization of industries was developed by historical chances. In the process of high technology industrial development in contemporary global space economy, however, policy and strategies are critical for the formation and evolution of new industrial districts. It needs formation of supportive tissues of institutions for evolution of dyamic pattern of high technology related new industrial districts. Some of the original distinctive types of new industrial districts can not follow the path or trajectory suggested in this paper and may be declined without advancing, if there is no formation of supportive social structure or policy. Provision of information infrastructure and diffusion of an entrepreneurship through the positive supports of local government, public institutions, universities, trade associations and industry associations are important for the evolution of the dynamic new industrial districts. Reduction of sunk costs through the supports for training and retraining of skilled labor, the formation of flexible labor markets, and the establishment of cheap and available telecommunication networks is also regarded as a significant strategies for dynamic progress of new industrial districts in the era of high technology industrial development. In addition, development of intensive international networks in production, technology and information is important policy issue for formation and evolution of the new industrial districts which are related with high technology industrial development.
Journal of Korean Home Economics Education Association
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v.26
no.4
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pp.129-146
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2014
This study is a fundamental research in the field of home economics education to enforce vocational competencies. It was carried out in the purpose of examining the recent economical and social environmental changes and its management system related to the vocational training in the field of home economics education. It seeks change in direction in relation to the National Competency Standard(NCS) based on revisions in the educational system. The method of study was mostly through reference and data analysis, professional advisory and public hearing. The main research results are as follows. First, the main environmental change factors in relation to vocational training have been integrated to the changes in; population structure, gender related economic activities, generation composition, communications technology, and innovation of living technique. These change factors are forecasting innovations in related industries, lifestyle changes, demand for manpower and changes in capabilities required for each specific profession. Second, according to the analysis of current home economics education training, vocational home educations high school accounts for 9.4% of the total number of specialized high schools, where 8 standard departments are specialized in and characterized into 137 different department names. Despite differences among departments, overall employment rate of graduates were measured 44.7%, which rates above the entrance rate of 41.9%. These numbers show great change since 2010(overall employment rate 16.9%, entrance rate 75.2%), a meaningful outcome resulting from changes in policy from the previous employment-centered education system. Third, NCS based on high school vocational home economics education system revision and investigations in change of direction in vocational home economics, this study attempts to provide background for revision from the development of NCS. It also provides proposals for restructuring division of current classification and departments of home economics education, and propositions for further future research.
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