• Review of Culture and Economy
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• v.21 no.3
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• pp.31-58
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• 2018

In this study, we empirically investigated the antecedents of crowdfunding success in the arts and cultural field using the case of Tumblbug in Korea. We collected data on 494 projects listed on Tumblebug in the arts and culture category that includes feature film, documentary, short film, animation, and Web series, as of June 2018. We analyzed the factors associated with the final amount raised via crowdfunding on Tumblbug using the hierarchical regression method. We find that the social capital accumulated by a focal entrepreneur (i.e., the proposer/designer of a focal project) through prior participation in other related projects and social communication activities carried out during the funding period, respectively, have positive effects on the final amount raised. More interestingly, we also find that the intensity of social communication plays a central role in the funding success of arts and culture-related projects by supplementing the lack of the entrepreneur's social capital and the reward features including a given project.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.20 no.4
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• pp.317-327
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• 1987

As a series of studies on the suitability as a second intermediate host of Clonorchis sinensis, artificial infection experiments were applied to Tilapia mossambica. And then, in order to elucidate the defence mechanism of the fish to Clonorchis, clonorchicidal substance in the epidermal mucus of the fish was isolated by silica gel column and thin layer chromatography and analyzed for its chemical structure by UV, IR and NMR-spectroscopy. The results obtained are summarized as follows: 1. The cercariae which attempted to contact with the fish in the water were observed under stereomicroscope. After contact, the cercariae began to separate their tail from the body after several minutes and then the number increased to $80\%$ more than 10 minutes after the encounter. But very few cercariae could actually invade the epidermis of the fish. 2. The fish were reared with Parafossarulus manchouricus which were shedding numerous cercariae of Clonorchis in the aquarium for 24 hours. Only a few cercariae could invade the epidermis but most of the invaded cercariae died out before forming their cysts. Very few number of the remaining encysted cercariae were also found to be in a state of suspended animation within 42 hours. 3. In the cases of the control fish, Pseudorasbora parva, numerous cercariae of Clonorchis were found to invade the fish through the epidermis under stereomicroscope. Then many metacercariae of Clonorchis were also found in the fish while they were kept in the aquarium. 4. A sample of the epidermal mucus of Tilapia mossambica was extracted with ethly ether 6 times repeatedly. In silica gel column chromatography, using petroleum ether: chloroform/30:70(v/v) as a first solvent and MeOH as a second solvent, the extract was fractionated into the yellow and brownish red solutions in the first solvent and the clonorchicidal brownish yellow solution in the second sovent. 5. The clonorchicidal brownish yellow solution was added to petroleum ether, and the mixture was stored for 5 days at $5^{\circ}C$ and was, then, separated into supernatant fraction and precipitate. Ten mg/ml of the supernatant fraction killed, in vitro, the excysted metacercariae in 45 minutes but the precipitate in 600 minutes. 6. In silica gel column chromatography, using acetone: benzene/10:90(v/v) as a solvent, the more clonorchicidal supernatant fraction was fractionated into the first fraction with Rf. 0.2966 and the second fraction with Rf. 0.072. In vitro, 10mg/ml of the first fraction killed the excysted metacercariae in 28 minutes, the second fraction in 80 minutes and the first fraction was, therefore, determined to be a final clonorchicidal substance. 7. By this purification procedures, the most clonorchicidal substance from the epidermal mucus of Tilapia mossambica was purified 71-folds with $0.2075\%$ yield. Infra red, nuclear magnetic resonance and ultraviolet spectrometric analysis of the purified substance revealed that the substance is linoleic acid. According to the results of the present studies it seemed that this species can not serve as a proper intermediate host of Clonorchis sinensis, and that defence mechanism to the fluke seems to be correlated with linoleic acid in the epidermal mucus of this species.

• Communications of Mathematical Education
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• v.35 no.2
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• pp.173-191
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• 2021

This study noted that a survey of teachers in a leading study conducted in Korea during the Pandemics period pointed out that the "real-time interactive" classes account for a significantly small portion of the remote class format. Contentually, the study reported cases of developing and applying "real-time interactive" class materials based on "planar decision requirements" of high school mathematics subject geometry. The teacher who participated in the development was a math teacher who worked at a Seoul-based high school with 28 years of high school teaching experience, and a teacher who was in charge of geometry in the math department in 2020. The development teacher decided to develop real-time interactive classes. In particular, the materials were developed by organizing the class guidance plan in four stages: 'Meeting and Class Guidance', 'Giving motivation', 'Suggesting tasks', 'Individual Investigative Activities and Teacher Feedback' and 'Reflection and Evaluation' which were selected through the process of selecting the class contents and selecting online class tools. At this time, the development teacher produced and presented about five minutes of video material using the videooscribe, a whiteboard animation program. And in case of task number 8, it consisted of recording the students' free thoughts after class, which served as a role of assessment by students themselves and providing feedback to their teachers. This study is a case study that introduces a series of courses in which field teachers develop class materials, and in addition to presenting class materials that can be applied directly to classes, is a result of a study that focuses on the role of presenting samples for future class data development. The materials developed were verified as class materials based on the opinions of the students who participated in the class and the results of the evaluation commissioned by the three math teachers.