Journal of agricultural medicine and community health
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v.18
no.1
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pp.77-91
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1993
This study was conducted to assess health medical center utilization pattern and its related factors among the rural inhabitants for the purpose of contribution to establishment of health medical center institutions. A questionnaire survey was carried out for object of 3,754 population of three primary school and three middle school student's parents (total 832 household) in Kyungbook Ulchin Gun rural area from 24 to 28 September, 1990. The summarized result are as follows, Respondents are 60.3% in male, 39.7% in female and 30-40s 81.3% in age, high school graduates 40.3% in education level and a regional medical insurance scheme in 44.1% in forms of health insurance. Recognition for health medical center was showed higher according to high educational, high income level, and short distance for location of health medical center of respondents (p < 0.01). Recognition for health medical center services was showed higher about care of medicaid in medical treatment services and higher preventive vaccination in health prevention services by respondents. Utilization rates of health medical center by out-patient care and preventive care service were 11.1 and 4.5 per 100 persons by year, but admission utilization rate was 34.6 per 10.000 persons by year. Motivations of health medical center utilization were showed a good care(45.7%), a good drugs(45.2%), and nearby health medical center(42.9%). In comparison health service levels of health medical center with general clinic was better (16.3%), similar(38.7%), 7(19.0%), and worse(19.0%) in view of health medical center utilizators. Inconvinience about health medical center utilized was the most higher longtime waiting, the next was limited utilization times. Transportation utilited were on foot(55%), by bus(35.5%), and so on. As mentioned above, there are many inhabitants who less understanding and less acknowledgement about health medical center and even mistake health center for health medical center. Therefore, there must be more information about health medical center. For higher utilization of health medical center, there must be considered expansion of health equipment, facilities, accomplishment with reinforcement of health staffs and efficiency management.
China is a great civilization which is a combination of various ethnic groups with long history change. As one of these important components of traditional culture, the lucky shape has been going through the ideological upheaval of the history change of China. Up to now, it has become the important parts which can stimulate the emotion of Chinese nation. The lucky shape becomes the basis of the rich traditional culture by long history of the Chinese nation. Even say it is the centre of this traditional culture resource. The lucky shape is a way of expressing the Chinese history and national emotions. It is the important part of people's living habits, emotion, as well as the cultural background. What's more, it has the value of beliefs of Surname totem. Meanwhile, it also has the function of passing on information. The symbol of information finally was created by the being of lucky shape to indicate its conceptual content. There are various kinds of lucky shapes. It will have its limitations when researching all kinds of them professionally. So, here the lucky shape of FISH will be researched. The shape of fish is the first good shape created by the Chinese nation. It is about 6000 years. Its special shape and lucky meaning embody the peculiar inherent culture and intension of the Chinese nation. It's the important component of the Chinese traditional culture. The traditional shape of fish was focused on the continuation of history and the patterns recognition, etc. It seldom indicated the meaning of the shape into the using of the modern design. So by searching the lucky meaning & the way of fish shape, the purpose of the search is to explore the real analysis of value of the fish shape in the modern enterprise identity design. The way of search is through the development of the history, the evolvement and the meaning of lucky of the traditional fish shape to analyse the symbolic meaning and the cultural meaning from all levels in nation, culture, art and life, etc. And by using the huge living example of the enterprise identity design of the traditional shape of the fish to analyse that how it works in positive way by those enterprise which is based on the trust with good image. In the modern Chinese enterprise identity design, the lucky image will be reinterpreted in the modern way. It will be proofed by the national perceptual knowledge of the consumer and the way of enlarge the goodwill of corporate image. It will be the conclusion. The traditional fish shape is the important core of modern design.So this search is taken through the instance of the design of enterprise image of the traditional fish shape to analysis the idea of the majority Chinese people of the traditional luck and the influence of corporation which based on trust and credibility. In modern image design of Chinese corporation, the auspicious sign reappear. The question survey is taken by people through the perceptual knowledge of the consumer and the cognition the enterprise image. According the result, people can speculate the improvement of consumer's recognition and the possibility of development of traditional concept.
The purpose of this study is to explore whether pre-service teachers majoring in earth science improve their perception of computational thinking through STEAM classes focused on engineering-based wave power plants. The STEAM class involved designing the most efficient wave power plant model. The survey on computational thinking practices, developed from previous research, was administered to 15 Earth science pre-service teachers to gauge their understanding of computational thinking. Each group developed an efficient wave power plant model based on the scientific principal of turbine operation using waves. The activities included problem recognition (problem solving), coding (coding and programming), creating a wave power plant model using a 3D printer (design and create model), and evaluating the output to correct errors (debugging). The pre-service teachers showed a high level of recognition of computational thinking practices, particularly in "logical thinking," with the top five practices out of 14 averaging five points each. However, participants lacked a clear understanding of certain computational thinking practices such as abstraction, problem decomposition, and using bid data, with their comprehension of these decreasing after the STEAM lesson. Although there was a significant reduction in the misconception that computational thinking is "playing online games" (from 4.06 to 0.86), some participants still equated it with "thinking like a computer" and "using a computer to do calculations". The study found slight improvements in "problem solving" (3.73 to 4.33), "pattern recognition" (3.53 to 3.66), and "best tool selection" (4.26 to 4.66). To enhance computational thinking skills, a practice-oriented curriculum should be offered. Additional STEAM classes on diverse topics could lead to a significant improvement in computational thinking practices. Therefore, establishing an educational curriculum for multisituational learning is essential.
Plant disease resistance occurs as a hypersensitive response (HR) at the site of attempted pathogen invasion. This specific event is initiated in response to recognition of pathogen-associated molecular pattern (PAMP) and subsequent PAMP-triggered immunity (PTI) and effector-triggered immunity (ETI). Both PTI and ETI mechanisms are tightly connected with reactive oxygen species (ROS) production and disease resistance that involves distinct biphasic ROS production as one of its pivotal plant immune responses. This unique oxidative burst is strongly dependent on the resistant cultivars because a monophasic ROS burst is a hallmark of the susceptible cultivars. However, the cause of the differential ROS burst remains unknown. In the study here, we revealed the plausible underlying mechanism of the differential ROS burst through functional understanding of the Magnaporthe oryzae (M. oryzae) AVR effector, AVR-Pii. We performed yeast two-hybrid (Y2H) screening using AVR-Pii as bait and isolated rice NADP-malic enzyme2 (Os-NADP-ME2) as the rice target protein. To our surprise, deletion of the rice Os-NADP-ME2 gene in a resistant rice cultivar disrupted innate immunity against the rice blast fungus. Malic enzyme activity and inhibition studies demonstrated that AVR-Pii proteins specifically inhibit in vitro NADP-ME activity. Overall, we demonstrate that rice blast fungus, M. oryzae attenuates the host ROS burst via AVR-Pii-mediated inhibition of Os-NADP-ME2, which is indispensable in ROS metabolism for the innate immunity of rice. This characterization of the regulation of the host oxidative burst will help to elucidate how the products of AVR genes function associated with virulence of the pathogen.
Journal of the Institute of Electronics Engineers of Korea CI
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v.48
no.4
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pp.21-26
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2011
Feature ranking is useful to gain knowledge of data and identify relevant features. In this study, we proposed a use of feature ranking for classification of neuro-degeneration and vascular dementia in micro-Raman spectra of platelet. The entire region of the spectrum is divided into local region including several peaks, followed by Gaussian curve fitting method in the region to be modeled. Local minima select from the subregion and then remove the background based on the position by using interpolation method. After preprocessing steps, significant features were selected by feature ranking method to improve the classification accuracy and the computational complexity of classification system. PCA (principal component analysis) transform the selected features and the overall features that is used classification with the number of principal components. These were classified as MAP (maximum a posteriori) and it compared with classification result using overall features. In all experiments, the computational complexity of the classification system was remarkably reduced and the classification accuracy was partially increased. Particularly, the proposed method increased the classification accuracy in the experiment classifying the Parkinson's disease and normal with the average 1.7 %. From the result, it confirmed that proposed method could be efficiently used in the classification system of the neuro-degenerative disease and vascular dementia of platelet.
This study is planned to present the future direction of the study of Korean clothes through the realistic recognition of the changes of studying issues of each area of the related clothes. For this purpose, the writer of this thesis have collected, classified and analyzed those various kinds of papers and theses published in the professional magazines of clothes such as Journal of Korean Home Economics, Journal of the Korean Society of Clothing and Textiles, Journal of the Korean Society of Costume, The Research Journal of the Costume Culture so that I might examine and study the main trend of the related study. The result of the study is as follows. 1. Since the first publication of Journal of Korean Home Economics in 1959 and Journal of the Korea Society of Clothing and Textiles, and Journal of the Korean Society of Costume, the study of clothes has been gradually increased. Furthermore, since 1990 the issuing times of various kinds of Journals have been continuously increased with the foundation of The Research Journal of the Costume Culture and Journal of Fashion Business. 2. Theses and papers published in the four greatest Journals of Korean Clothing and Textiles have been studies for the detailed classification and analysis of the data. According to the study, It is found that the theses in Journal of the Korea Society of Clothing and Textiles have actively studied textiles as they had studied before 1990s and those in Journal of the Korean Society of Costume have studied history of costumes and those in The Research Journal of the Costume Culture have studied the composition and science of clothes. 3. The order of studying subjects was 1) Design and Aesthetics, 2) Fashion Merchandising 3) Textiles, 4) Clothing Construction, 5) History of Costumes, 6) Costume Culture, 7) Socio-Psychology of clothing, 8) Others. Considering the above mentioned result of the study, most of the main fields of the clothing and textiles study have been studied continuously in balance since 1990 unlike the past although the past studies had been performed largely in some main fields only. And it was found that fields of clothing styles and clothing goods have been studied most actively since 1990s. 4. The studying field of Design and Aesthetics has showed to have the trend to be studied very actively since 1990s, which has utilized various relevant data with scholastic approach to psychology and aesthetics. Regarding Fashion Merchandising, the study of consumers decision process has been performed most actively. And theses on the international trades have been published considerably more than ever before, which resulted in gradual increase in gradual increase in the study of the fields related with global marketing, internet marketing, textile products exports, and overseas brands, etc. Regarding Textiles, the field of clothing sanitation and management has been studied more actively than that of clothing materials. In case of clothing construction, the study of physical styles and pattern making has been more active than the other related fields. Fields of socio-psychology of clothing and history costume have been a little reduced. Field of costume culture has been firmly rooted as an independent subject to be studied in the clothing related study. And study of the clothes has shown various trends of studies of ethnic & folk clothes, religious and ceremonial garments, linguistic & favorite approach to clothes and academic analysis of the data.
This a qualitative research about the virtual personal assistant, voice recognition device SKT 'NUGU' which was launched on September 1, 2016. For the study, an in-depth interview was committed with the 9 research participants who had used this device for more than a month. For the result of the interview, 362 concepts were discovered and through open coding, axis coding, selective coding the concepts got categorized in 16 sub-categories and 10 top categories. After recognizing 362 concepts from the interview sources, I proposed a paradigm model from the open coding. And from the selective coding, the main category of the study has been narrowed down to understand the 'Usage Patterns by Each Type'. As a result of the typification, it was confirmed that the usage pattern can be described in two different types of the dependent and inquiry type. From the result of the research, it provided the basic data about the user experience of virtual assistant which can be utilized when suggesting virtual personal assistant in the near future.
Unlike general public investment projects, when it comes to environmental public investment projects, there is a gap between those who pay the costs, and those who receive the benefits. This is because of the long term nature of environmental investments, which entails that the majority of the costs are paid by the current generation, while the benefits are reaped by future generations. Because of this, when the social discount rate is set at a standard, singular rate, an issue of relative underestimation of the benefits reaped by future generations may occur during the analytic process. This paper begins with the recognition of this problem, and attempts to estimate a suitable social discount rate that can be applied to environmental investment projects. Taking into account recent economic situations, the social discount rate is currently being estimated at between 2.9 ~ 4.9%. Also, this paper used preliminary feasibility studies that took place so far, to analyze the standard pattern of benefit generation. This revealed that alterations in social discount rates can bring significant changes in economic feasibility test results. Simulation results showed that roughly 6% of B/C ratios could be increased by 1%p. resulting in a decrease in social discount rates. Also if we use hyperbolic discount rates, instead of using the current singular rate, there would be a meaningful increase in the benefits for the future generation.
Kim, Jun Hwan;Ahn, Jin-Hee;Kim, Kang Mi;Kim, Sang Hyo
Journal of Korean Society of Steel Construction
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v.19
no.6
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pp.695-702
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2007
The Thermal Prestressing Method for continuous composite girder bridges is a new design and construction method developed to induce initial composite stresses in the concrete slab at negative bending regions. Due to the induced initial stresses, prevention of tensile cracks at the concrete slab, reduction of steel girder section, and reduction of reinforcing bars are possible. Thus, the construction efficiency can be improved and the construction can be made more economical. The method for determining the optimum heating region of the thermal prestressing method has not been established although such method is essential for improving the efficiency of the design process. The trial-and-error method used in previous studies is far from efficient, and a more rational method for computing optimal heating region is required. In this study, an efficient method for determining the optimum heating region in using the thermal prestressing method was developed based on the neural network algorithm, which is widely adopted to pattern recognition, optimization, diagnosis, and estimation problems in various fields. Back-propagation algorithm, commonly used as a learning algorithm in neural network problems, was used for the training of the neural network. Through case studies of two-span and three-span continuous composite girder bridges using the developed procedure, the optimal heating regions were obtained.
The Journal of Korean Institute of Electromagnetic Engineering and Science
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v.29
no.7
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pp.550-559
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2018
The effectiveness of deep neural networks (DNNs) for detection and classification of micro-Doppler signals generated by human walking and background noise sources is investigated. Previous research included a complex process for extracting meaningful features that directly affect classifier performance, and this feature extraction is based on experiences and statistical analysis. However, because a DNN gradually reconstructs and generates features through a process of passing layers in a network, the preprocess for feature extraction is not required. Therefore, binary classifiers and multiclass classifiers were designed and analyzed in which multilayer perceptrons (MLPs) and DNNs were applied, and the effectiveness of DNNs for recognizing micro-Doppler signals was demonstrated. Experimental results showed that, in the case of MLPs, the classification accuracies of the binary classifier and the multiclass classifier were 90.3% and 86.1%, respectively, for the test dataset. In the case of DNNs, the classification accuracies of the binary classifier and the multiclass classifier were 97.3% and 96.1%, respectively, for the test dataset.
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