• Horticultural Science & Technology
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• v.29 no.6
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• pp.633-640
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• 2011

Brassica rapa is an A genome model species for Brassica crop genetics, genomics, and breeding. With the completion of sequencing the B. rapa genome, functional analysis of the genome is forthcoming issue. The expressed sequence tags are fundamental resources supporting annotation and functional analysis of the genome including identification of tissue-specific genes and promoters. As of July 2011, 147,217 ESTs from 39 cDNA libraries of B. rapa are reported in the public database. However, little information can be retrieved from the sequences due to lack of organized databases. To leverage the sequence information and to maximize the use of publicly-available EST collections, the Brassica rapa tissue-specific EST database (BrTED) is developed. BrTED includes sequence information of 23,962 unigenes assembled by StackPack program. The unigene set is used as a query unit for various analyses such as BLAST against TAIR gene model, functional annotation using MIPS and UniProt, gene ontology analysis, and prediction of tissue-specific unigene sets based on statistics test. The database is composed of two main units, EST sequence processing and information retrieving unit and tissue-specific expression profile analysis unit. Information and data in both units are tightly inter-connected to each other using a web based browsing system. RT-PCR evaluation of 29 selected unigene sets successfully amplified amplicons from the target tissues of B. rapa. BrTED provided here allows the user to identify and analyze the expression of genes of interest and aid efforts to interpret the B. rapa genome through functional genomics. In addition, it can be used as a public resource in providing reference information to study the genus Brassica and other closely related crop crucifer plants.

• Journal of Global Scholars of Marketing Science
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• v.18 no.2
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• pp.113-145
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• 2008

Marketing for the distribution industry is making an ongoing progress in the changes of customers, the competitive environment, and the internal marketing environment. Integrated marketing communication activities are required for the enhancement of efficiency in the market.oriented activities. In this study, IMC is defined as "a notion that a market oriented business integrated marketing communication means, conducting and evaluating marketing activities with consistent messages in order to communicate with customers based on databases." In this study, an IMC planning model for the improvement of marketing efficiency in the distribution industry was derived from a pilot study. This model may be broken down into the following phases: IMC goals setting, situational analysis (customer analysis, competition analysis and company analysis), customer data analysis, contact management, budgeting, the establishment of an IMC strategy, the IMC mix and execution, an evaluation system, and feedback. In consideration of the characteristics of the distribution industry, this study was accompanied by a vocational study on IMC means employed by, in particular, department stores and other distributors such as: advertising, sales promotion, sales promotion advertising, direct marketing, public relations, personal selling, the Internet, mobile, visual merchandising, words of mouth. In addition, this study also covered the correlation among variables such as IMC activities of distributors, the process of forming customer's brand attitudes, brand loyalty and repurchase intention. This research would enhance the utilization of IMC. The analysis on customer's brand attitudes toward the IMC activities of distributors requires the simultaneous consideration of how they are linked to purchase as well as their attitudes toward both distributors and stores. The formation of brand loyalty and repurchase intention is related to the integration of marketing communication and the maintenance of consistency in contents, which requires integrated brand communication (IBC) strategies. IBC is a concept of using IMC means to manage the brand in a continuing and consistent manner and measuring their effect, which is a process to establish enterprise.level brand identity and maximize brand loyalty and repurchase intention by integrating IMC means. For an empirical analysis in this study, an online questionnaire survey was conducted among those department store customers from 20's to 50's who reside either in the Seoul and Gyeonggi areas and have made purchase at department stores. In this study, the research model consisted of four theoretical variables: IMC activities, IMC attitudes, brand loyalty, and repurchase intention, on which variables a pilot study was conducted. A number of hypotheses were constructed on the relations between IMC activities and IMC attitudes, between IMC attitudes and repurchase intention, and between brand loyalty and repurchase intention. The test of the hypotheses may be summarized as follows: Firstly, the test of the hypothesis concerning the relation between IMC attitudes and IMC activities - advertising, sales promotion, direct marketing, public relations, personal selling, the Web, mobile, visual merchandising, and word of mouth - indicates that advertising, sales promotion, direct marketing, public relations, personal selling, mobile, visual merchandising, and word of mouth have significant impact on IMC activities. In addition to the result similar to those of previous studies that such marketing communication means as word of mouth, advertising, personal selling and sales promotion, in particular, play very important roles, a notable finding of this study is that visual merchandising performed by department stores is shown to have very significant impact on IMC activities. On a separate note, it is also noteworthy that Internet marketing activities engaged by department stores are not shown to have significant impact on IMC attitudes. Secondly, the test of the hypothesis on the relation between IMC attitudes and brand loyalty attests that IMC attitudes for the distribution industry significantly affect brand loyalty. Thirdly, the test of the hypothesis concerning the relation between IMC attitudes and repurchase intention confirms that IMC attitudes for the distribution industry significantly affect repurchase intention. Fourthly, the test of the hypothesis concerning the relation between brand loyalty and repurchase intention indicates that brand loyalty significantly affect repurchase intention. A comprehensive view of these findings points to the conclusion that the IMC activities for the distribution industry do affect IMC attitudes, brand loyalty, and repurchase intention.

• Journal of Life Science
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• v.26 no.8
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• pp.904-910
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• 2016

Complex traits are determined by the combined effects of many loci and are affected by gene networks or biological pathways. Systems biology approaches have an important role in the identification of candidate genes related to complex diseases or traits at the system level. The gene network analysis has been performed by diverse types of methods such as gene co-expression, gene regulatory relationships, protein-protein interaction (PPI) and genetic networks. Moreover, the network-based methods were described for predicting gene functions such as graph theoretic method, neighborhood counting based methods and weighted function. However, there are a limited number of researches in livestock. The present study systemically analyzed genes associated with 102 types of economic traits based on the Animal Trait Ontology (ATO) and identified their relationships based on the gene co-expression network and PPI network in cattle. Then, we constructed the two types of gene network databases and network visualization system (http://www.nabc.go.kr/cg). We used a gene co-expression network analysis from the bovine expression value of bovine genes to generate gene co-expression network. PPI network was constructed from Human protein reference database based on the orthologous relationship between human and cattle. Finally, candidate genes and their network relationships were identified in each trait. They were typologically centered with large degree and betweenness centrality (BC) value in the gene network. The ontle program was applied to generate the database and to visualize the gene network results. This information would serve as valuable resources for exploiting genomic functions that influence economically and agriculturally important traits in cattle.

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.765-780
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• 2018

The purpose of this study is to synthesize the theoretical perspectives, research methods, and research results of teachers' professional vision by reviewing and analyzing previous research papers and to suggest implications for science teacher education and research. Three databases were used to search peer reviewed journal articles published between 1997-2017, which include 'teachers' and 'professional vision' explicitly in abstracts and empirical studies only. 21 articles in total were analyzed and review results are as follows. First, researchers regarded professional vision as a new concept of teacher professionalism. Previous research viewed professional vision as integrated structure of teachers' knowledge or ability activated at specific moment. Second, the analytical framework of professional vision included two aspects; 'selective attention' and 'reasoning'. Several aspects of lessons or the desirable teaching and learning factors are suggested as the subcategories of selective attention. Hierarchical levels or independent reasoning ability factors are suggested as the subcategories of reasoning process. Third, research on teachers' professional vision focused more on middle school teachers than elementary teachers and on various subject areas. Most studies used video clips and more cases of using videos of non-participants were found. In case of measurement of professional vision, most quantitative scoring methods were whether the responses of experts and teachers on video clips were consistent. Last, most studies examined or assessed teachers' professional vision. It is reported that in-service teachers' professional vision was evaluated higher than novice teachers' and using video clips were effective to examine and improve teachers' professional vision.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.57-77
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• 2013

Social media has become one of the most popular media in web and mobile application. In 2011, social networks and blogs are still the top destination of online users, according to a study from Nielsen Company. In their studies, nearly 4 in 5active users visit social network and blog. Social Networks and Blogs sites rule Americans' Internet time, accounting to 23 percent of time spent online. Facebook is the main social network that the U.S internet users spend time more than the other social network services such as Yahoo, Google, AOL Media Network, Twitter, Linked In and so on. In recent trend, most of the companies promote their products in the Facebook by creating the "Facebook Page" that refers to specific product. The "Like" option allows user to subscribed and received updates their interested on from the page. The film makers which produce a lot of films around the world also take part to market and promote their films by exploiting the advantages of using the "Facebook Page". In addition, a great number of streaming service providers allows users to subscribe their service to watch and enjoy movies and TV program. They can instantly watch movies and TV program over the internet to PCs, Macs and TVs. Netflix alone as the world's leading subscription service have more than 30 million streaming members in the United States, Latin America, the United Kingdom and the Nordics. As the matter of facts, a million of movies and TV program with different of genres are offered to the subscriber. In contrast, users need spend a lot time to find the right movies which are related to their interest genre. Recent years there are many researchers who have been propose a method to improve prediction the rating or preference that would give the most related items such as books, music or movies to the garget user or the group of users that have the same interest in the particular items. One of the most popular methods to build recommendation system is traditional Collaborative Filtering (CF). The method compute the similarity of the target user and other users, which then are cluster in the same interest on items according which items that users have been rated. The method then predicts other items from the same group of users to recommend to a group of users. Moreover, There are many items that need to study for suggesting to users such as books, music, movies, news, videos and so on. However, in this paper we only focus on movie as item to recommend to users. In addition, there are many challenges for CF task. Firstly, the "sparsity problem"; it occurs when user information preference is not enough. The recommendation accuracies result is lower compared to the neighbor who composed with a large amount of ratings. The second problem is "cold-start problem"; it occurs whenever new users or items are added into the system, which each has norating or a few rating. For instance, no personalized predictions can be made for a new user without any ratings on the record. In this research we propose a clustering method according to the users' genre interest extracted from social network service (SNS) and user's movies rating information system to solve the "cold-start problem." Our proposed method will clusters the target user together with the other users by combining the user genre interest and the rating information. It is important to realize a huge amount of interesting and useful user's information from Facebook Graph, we can extract information from the "Facebook Page" which "Like" by them. Moreover, we use the Internet Movie Database(IMDb) as the main dataset. The IMDbis online databases that consist of a large amount of information related to movies, TV programs and including actors. This dataset not only used to provide movie information in our Movie Rating Systems, but also as resources to provide movie genre information which extracted from the "Facebook Page". Formerly, the user must login with their Facebook account to login to the Movie Rating System, at the same time our system will collect the genre interest from the "Facebook Page". We conduct many experiments with other methods to see how our method performs and we also compare to the other methods. First, we compared our proposed method in the case of the normal recommendation to see how our system improves the recommendation result. Then we experiment method in case of cold-start problem. Our experiment show that our method is outperform than the other methods. In these two cases of our experimentation, we see that our proposed method produces better result in case both cases.