The causes and problems underlying deaths in perinatal period are often similar and might be expected to yield to same type of preventive measures. This is one of the reasons for attempting to develop a reporting of perinatal mortality and its related matters. This study aims at figuring out the biologic risk factors onto the perinatal death. Considering stillbirth and early neonatal mortality separately, considerable associations between stillbirth and reproductive history of women, are observed, ana it is found that prematurity is the the far most important factor in the early neonatal mortality.
This Paper is research for Yulgok School(栗谷學派)'s lixue(禮學) in the first half of 17c centering around Uiremunhae(疑禮問解) and Uiremunhaesuk(疑禮問解續). Uiremunhae and Uiremunhaesuk are a book between Kim Jangsaeng(金長生) Kim Jip(金集) and his follower's questions & answers about li. A book or letter of questions & answers about li is useful for comprehension of lixue's opinion, especially questions & answers about controversial li shows their critical mind and a foundation of cognition for li. Thus I make showing then situation of Kim Jangsaeng and his follower in relates to understanding and performing Zhuxi's family rituals on analyzing questions & answers about controversial li. Kim Jangsaeng Kim Jip and his follower's characteristic of lixue are several on analyzing Uiremunhae. First, Kim Jangsaeng and his follower researched for Zhuxi's family rituals with systematic approach and in-depth research, and detailed in reference to the Classic of li, Zhuxi, Zheongyi(程?), Zangzai(張載)'s thoery of li and chinese lixue data, and Lee Hwang(李滉), Lee Yi(李珥), Song Yikpil(宋翼弼), Jeong Goo(鄭逑)'s thoery of li and korean lixue data. Next, on questions & answers about controversial li, Kim and his follower basically maintained following Zhuxi's family rituals. Zonfa, sacrificial rituals and funeral rituals are all such that, and if there happened omission and contradiction in Zhuxi's family rituals, they refered to Zhuxi's theory of li on the collected works of Zhuxi and the analects of Zhuxi and searched righteous li by historial invesigation. Then, Kim and his follower critically were in succession to Lee Yi and Song Yikpil's thoery of li. finally, They also had to considered then situation on li(Zhuxi's family rituals' li and ancient li)'s operation and actualizatin on considering principle and mind of li.
In recent years, frequent itemset mining for considering the importance of each item has been intensively studied as one of important issues in the data mining field. According to strategies utilizing the item importance, itemset mining approaches for discovering itemsets based on the item importance are classified as follows: weighted frequent itemset mining, frequent itemset mining using transactional weights, and utility itemset mining. In this paper, we perform empirical analysis with respect to frequent itemset mining algorithms based on transactional weights. The mining algorithms compute transactional weights by utilizing the weight for each item in large databases. In addition, these algorithms discover weighted frequent itemsets on the basis of the item frequency and weight of each transaction. Consequently, we can see the importance of a certain transaction through the database analysis because the weight for the transaction has higher value if it contains many items with high values. We not only analyze the advantages and disadvantages but also compare the performance of the most famous algorithms in the frequent itemset mining field based on the transactional weights. As a representative of the frequent itemset mining using transactional weights, WIS introduces the concept and strategies of transactional weights. In addition, there are various other state-of-the-art algorithms, WIT-FWIs, WIT-FWIs-MODIFY, and WIT-FWIs-DIFF, for extracting itemsets with the weight information. To efficiently conduct processes for mining weighted frequent itemsets, three algorithms use the special Lattice-like data structure, called WIT-tree. The algorithms do not need to an additional database scanning operation after the construction of WIT-tree is finished since each node of WIT-tree has item information such as item and transaction IDs. In particular, the traditional algorithms conduct a number of database scanning operations to mine weighted itemsets, whereas the algorithms based on WIT-tree solve the overhead problem that can occur in the mining processes by reading databases only one time. Additionally, the algorithms use the technique for generating each new itemset of length N+1 on the basis of two different itemsets of length N. To discover new weighted itemsets, WIT-FWIs performs the itemset combination processes by using the information of transactions that contain all the itemsets. WIT-FWIs-MODIFY has a unique feature decreasing operations for calculating the frequency of the new itemset. WIT-FWIs-DIFF utilizes a technique using the difference of two itemsets. To compare and analyze the performance of the algorithms in various environments, we use real datasets of two types (i.e., dense and sparse) in terms of the runtime and maximum memory usage. Moreover, a scalability test is conducted to evaluate the stability for each algorithm when the size of a database is changed. As a result, WIT-FWIs and WIT-FWIs-MODIFY show the best performance in the dense dataset, and in sparse dataset, WIT-FWI-DIFF has mining efficiency better than the other algorithms. Compared to the algorithms using WIT-tree, WIS based on the Apriori technique has the worst efficiency because it requires a large number of computations more than the others on average.
Song, Su Jeong;Choo, Chang Oh;Chang, Chun-Joong;Chang, Tae Woo;Jang, Yun Deuk
Economic and Environmental Geology
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v.45
no.5
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pp.487-502
/
2012
This paper is focused on mineral compositions, microstructures and distributional characters of remained grains in the fault rocks collected from a fault developed in Yongdang-ri, Yangbuk-myeon, Gyeongju City, Korea, using X-ray diffraction (XRD), optical microscope, laser grain size analysis and fractal dimension analysis methods. The exposed fault core zone is about 1.5 meter thick. On the average, the breccia zone is 1.2 meter and the gouge zone is 20cm thick, respectively. XRD results show that the breccia zone consists predominantly of rock-forming minerals including quartz and feldspar, but the gouge zone consists of abundant clay minerals such as chlorite, illite and kaolinite. Mineral vein, pyrite and altered minerals commonly observed in the fault rock support evidence of fault activity associated with hydrothermal alteration. Fractal dimensions based on box counting, image analysis and laser particle analysis suggest that mineral grains in the fault rock underwent fracturing process as well as abrasion that gave rise to diminution of grains during the fault activity. Fractal dimensions(D-values) calculated by three methods gradually increase from the breccia zone to the gouge zone which has commonly high D-values. There are no noticeable changes in D-values in the gouge zone with trend being constant. It means that the bulk-crushing process of mineral grains in the breccia zone was predominant, whereas abrasion of mineral grains in the gouge zone took place by continuous fault activity. It means that the bulk-crushing process of mineral grains in the breccia zone was predominant, whereas abrasion of mineral grains in the gouge zone took place by continuous fault activity. Mineral compositions in the fault zone and peculiar trends in grain distribution indicate that multiple fault activity had a considerable influence on the evolution of fault zones, together with hydrothermal alteration. Meanwhile, fractal dimension values(D) in the fault rock should be used with caution because there is possibility that different values are unexpectedly obtained depending on the measurement methods available even in the same sample.
Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.
Information and Communications Technology (ICT) is one of the technologies which represent the core value of the creative economy. It has served as a vehicle connecting the existing industry and corporate infrastructure, developing existing products and services and creating new products and services. In addition to the ICT, new devices including big data, mobile gadgets and wearable products are gaining a great attention sending an expectation for a new market-pioneering. Further, Internet of Things (IoT) is helping solidify the ICT-based social development connecting human-to-human, human-to-things and things-to-things. This means that the manufacturing-based hardware development needs to be achieved simultaneously with software development through convergence. The essential element the convergence between hardware and software is OS, for which world's leading companies such as Google and Apple have launched an intense development recognizing the importance of software. Against this backdrop, the status-quo of the software market has been examined for the study of the present report (Korea Evaluation Institute of Industrial Technology: Professional Design Technology Development Project). As a result, the software platform-based Google's android and Apple's iOS are dominant in the global market and late comers are trying to enter the market through various pathways by releasing web-based OS and similar OS to provide a new paradigm to the market. The present study is aimed at finding the way to utilize a smart content by which anyone can be a developer based on OS responding to such as social change, newly defining a smart content to be universally utilized and analyzing the market to deal with a rapid market change. The study method, scope and details are as follows: Literature investigation, Analysis on the app market according to a smart classification system, Trend analysis on the current content market, Identification of five common trends through comparison among the universal definition of smart content, the status-quo of application represented in the app market and content market situation. In conclusion, the smart content market is independent but is expected to develop in the form of a single organic body being connected each other. Therefore, the further classification system and development focus should be made in a way to see the area from multiple perspectives including a social point of view in terms of the existing technology, culture, business and consumers.
Soybean is one of the most common food materials causing food hypersensitivity reactions in Korea. In this study, we have investigated the effect of roasting and fermentation on the allergenicity of soybean. Three kinds of soybean ($Daepung$, $Daewon$, and $Taegwang$) were prepared as raw, roasted, and fermented by $Bacillus$$subtilis$ GSK 3580, and then their proteins were extracted. The proteins were separated using SDS-PAGE, and the detection of IgE specific to soybean proteins was performed by immunoblotting using 7 sera of soybean allergy patients and non-allergic control individuals. Serum specific IgE to soybean was measured by ELISA. The SDS-PAGE of raw soybean proteins showed various-sized bands ranging from 9 to 76 kDa, which are known as major allergens. In particular, 9, 21, 34, 52, 72, and 76 kDa proteins are known as LTP, Kunits trypsin inhibitor, $Gly$ m Bd 30K, ${\beta}$-subunit, ${\alpha}$-subunit, and ${\alpha}$'-subunit of ${\beta}$-conglycinin, respectively; these are major allergens in soybean. In contrast, only peptides of less than 35 kDa were found in roasted and fermented soybeans. IgE immunoblot analysis of three roasted species of soybeans commonly detected at 38-40 kDa and 10-15 kDa. The protein bands in fermented soybean showed very weak signals or were not detected. In addition, the reactivity of most patients' sera to soybean was decreased after roasting and fermentation. With these results, it may be concluded that the allergenicity of soybeans is reduced by the roasting and fermentation processes. It is supposed that allergenic proteins in soybean were degraded by heat treatment methods and proteolytic enzymes were secreted from fermenting microorganisms.
Kim, Young-Hye;Kang, Yu-Ju;Lee, In-Seon;Kim, Hyang-Sook
Journal of the Korean Society of Food Science and Nutrition
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v.39
no.2
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pp.244-252
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2010
This study aimed to offer groundwork for grasp and evaluation of nutritional status and dietary fiber intake through 24-hr recall method among middle school students in Chungbuk area. In addition, this study attempted to develop food frequency questionnaire (FFQ) for dietary fiber intake. Average calorie intake per person a day was 2035.6 kcal for boys, and 1876.7 kcal for girls which were 75.4% and 93.8% of estimated energy requirement (EER), respectively. Percent estimated average requirements (%EAR) of calcium, iron and folate were the lowest showing 34.3%, 54.2%, 67.5% for boys and 36.6%, 59.2%, 64.4% for girls, respectively. Average dietary fiber intake per day was $17.6\pm5.3$ g for boys and $16.5\pm4.8$ g for girls which indicate 54.8% and 68.8% of adequate intake (AI), respectively. The main food sources of dietary fiber were polished rice and kimchi. The main food source groups were vegetables, cereals and their products were fruits, seaweeds in the order named, indicating 68.44% total dietary fiber intake from vegetables and cereals. From preliminary 39 food items, 19 food items were selected to derive the correlation coefficient of each food item between 24-hr recall and FFQ method. Correlation coefficient was increased from 0.71 to 0.78 with significant level of p<0.01 after adjustment of FFQ from 39 items to 19 items set. Percentage of classifying subjects into the same levels by food frequency questionnaire and 24-hr recall based on joints classification quartile Kappa value was evaluated. Agreement was highest in the second lowest group showing percentage to correspond rose from 90.2% to 92.4% and Kappa value of 0.54 to 0.59. Consequently, FFQ developed in this study would be useful for estimating the groups which show low intake.
This study analysis if the concepts of kitsch and vernacular remains as cultural elements for product design. Because their function and aesthetic value have vivid possibilities for general product design fields. For the purpose, this study limits its range within post modernism, kitsch, and vernacular, and analyzes their relationships. Against functionalism, post modernism had cultural pluralisms to approach into popular styles, and some of them was amusing design. That post modernism designs stimulated human beings' emotion by decorations or some symbolic forms from specific objects is similar to the symbolism, regionalism, or pluralism of kitsch or vernacular. Kitsch is a free style that is not limited in any specific trends. It is a Meta culture that has influenced into various fields including design, so kitsch does not have a parallel position with a product or design. In product design, kitsch is the behavior and result of imitating existing objects' images. It could have amusement according to which objects are imitated. So if human beings feel amusement by kitsch, it could be same as the direction of post modernism. Kitsch is determined by design atmospheres. They cannot be specified abjectly, and can be different according to people. With symbolism and regionalism, kitsch and vernacular appeared according to people's needs. While kitsch is consumer's tastes-oriented, vernacular is cultural tradition-oriented. Kitsch has symbolism that specifies products' functions or design concepts, and it is a communication method between human being and products. Because vernacular is province-oriented, it has a lot of styles according to regional living environments and cultural differences. So vernacular design reflects continued traditional lifestyles. By restorative memory, regionalism, cultural pluralism, amusement, and symbolism, kitsch and vernacular could be understood the sub or parallel concepts of post modernism. They might be easily miss-understood mixed concepts that have western and national characters. But in kitsch and vernacular concept, modernizing pas by using the pluralism of post modernism should be considered positive. So, the range of the further study is also supposed to be focused on more widened fields to, to establish cultural identification in design.
This study aims to present a fundamental data base to figure out the mental and the physical conditions that the dental technicians are facing and ultimately to develop a health care program to deal with their health related problems. To this end, we took an analysis on the health status among the subjects of 895 dental technicians currently working at the dental lab around the nation from January 15 to March 31, 2009 by way or Todai Health Index(THI). Of the average scale point in accordance with 12 scale scores of the physical and the mental subjective symptom, the results revealed that the physical appeals (21.10) were higher than the mental appeals (18.49) and the multiple subjective symptom was marked as 38.44 followed by the mental irritability (25.92). In gender differences, the females proved to be higher than the males in both physical appeals and mental appeals while the physical appeals were dominant in both genders. The physical appeals were higher than the mental appeals with regard to the general characteristics. In the case or the group or age twenties as shown in the physical and mental average scale point, the other groups showed 21.55% of the physical appeals among the married whereas the mental appeals showed the highest point as 18.70 in the unmarried group. In job position, the other groups marked the highest, in working condition, below average group marked the highest, in frequency of break time, none group marked the highest. We drew a conclusion form this study that the dental technicians gained the higher points in the item or the multiple subjective symptom, the menial irritability, and the irregular life. More research on th is phenomena should be followed along with the development of various and practical health care programs to promote the health or dental technicians.
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