• Parasites, Hosts and Diseases
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• v.54 no.2
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• pp.147-154
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• 2016

Toxoplasma gondii infection induces alteration of the host cell cycle and cell proliferation. These changes are not only seen in directly invaded host cells but also in neighboring cells. We tried to identify whether this alteration can be mediated by exosomes secreted by T. gondii-infected host cells. L6 cells, a rat myoblast cell line, and RH strain of T. gondii were selected for this study. L6 cells were infected with or without T. gondii to isolate exosomes. The cellular growth patterns were identified by cell counting with trypan blue under confocal microscopy, and cell cycle changes were investigated by flow cytometry. L6 cells infected with T. gondii showed decreased proliferation compared to uninfected L6 cells and revealed a tendency to stay at S or G2/M cell phase. The treatment of exosomes isolated from T. gondii-infected cells showed attenuation of cell proliferation and slight enhancement of S phase in L6 cells. The cell cycle alteration was not as obvious as reduction of the cell proliferation by the exosome treatment. These changes were transient and disappeared at 48 hr after the exosome treatment. Microarray analysis and web-based tools indicated that various exosomal miRNAs were crucial for the regulation of target genes related to cell proliferation. Collectively, our study demonstrated that the exosomes originating from T. gondii could change the host cell proliferation and alter the host cell cycle.

• IE interfaces
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• v.25 no.1
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• pp.52-63
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• 2012

Up-to-date enlargement of the scale of global outsourcing has brought about the need of systematic and efficient tools for competitive supplier discovery located in various areas. A web-based business supporting system, referred to as Excellent Manufacturer Scouting System(EMSS), is being developed to serve core business functions including supplier discovery, negotiation, and collaboration between overseas buyers and domestic suppliers throughout the process of supply chain formation. In this paper, a supplier assessment model devoted to evaluation of core manufacturing capability is proposed by targeting small and medium sized mold companies. The assessment model will eventually be loaded to EMSS. Even if many well-designed models for supplier assessment have been presented in literature, most of them limit the evaluation criteria to somewhat general information on a given supplier, such as cost, delivery time, quality, rather than core manufacturing capability itself. This research is pioneering work on supplier assessment from the viewpoint of manufacturability. The proposed assessment model classifies assessment indices into six criteria, which have been drawn by intensive survey and analysis of the mold industry. Actual assessment indices for each criterion are also presented along with an exemplary evaluation result.

• Journal of The Korean Association of Information Education
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• v.17 no.2
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• pp.225-232
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• 2013

The smart education is performed in the education field, but the contents related to the subject class performed in the various smart devices are insufficient and it is necessary to continue training teacher and learner for the app development education. Therefore this study developed and applied the contents production education program of the game type web app around elementary science 6 grade 1 term utilizing Storyline authoring tools, similar to PowerPoint and be executable in the various devices. After educating students, we investigate the convenience of the use of Storyline, satisfaction level of learning contents work activity, and the continued availability, and etc,. They are interested in the activity of the smart educational contents development and they wished to participate in the continued app development education and activity in spite of it make difficulty for using English menu.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.425-433
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• 2009

Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. We need a data mining tool to explore a lot of information. There are many data mining tools or solutions; E-Miner, Clementine, WEKA, and R. Almost of them are were focused on diversity and general purpose, and they are not useful for laymen. In this paper we design and implement a web-based data mining tool using PHP and WEKA. This system is easy to interpret results and so general users are able to handle. We implement Apriori algorithm of association rule, K-means algorithm of cluster analysis, and J48 algorithm of decision tree.

• Asian review of World Histories
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• v.4 no.1
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• pp.3-34
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• 2016

This introduction is both a statement of a research problem and an account of the first research results for its solution. As more historical databases come online and overlap in coverage, we need to discuss the two main issues that prevent 'big' results from emerging so far. Firstly, historical data are seen by computer science people as unstructured, that is, historical records cannot be easily decomposed into unambiguous fields, like in population (birth and death records) and taxation data. Secondly, machine-learning tools developed for structured data cannot be applied as they are for historical research. We propose a complex network, narrative-driven approach to mining historical databases. In such a time-integrated network obtained by overlaying records from historical databases, the nodes are actors, while thelinks are actions. In the case study that we present (the world as seen from Venice, 1205-1533), the actors are governments, while the actions are limited to war, trade, and treaty to keep the case study tractable. We then identify key periods, key events, and hence key actors, key locations through a time-resolved examination of the actions. This tool allows historians to deal with historical data issues (e.g., source provenance identification, event validation, trade-conflict-diplomacy relationships, etc.). On a higher level, this automatic extraction of key narratives from a historical database allows historians to formulate hypotheses on the courses of history, and also allow them to test these hypotheses in other actions or in additional data sets. Our vision is that this narrative-driven analysis of historical data can lead to the development of multiple scale agent-based models, which can be simulated on a computer to generate ensembles of counterfactual histories that would deepen our understanding of how our actual history developed the way it did. The generation of such narratives, automatically and in a scalable way, will revolutionize the practice of history as a discipline, because historical knowledge, that is the treasure of human experiences (i.e. the heritage of the world), will become what might be inherited by machine learning algorithms and used in smart cities to highlight and explain present ties and illustrate potential future scenarios and visionarios.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.437-448
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• 2004

This paper presents an approach to the development of bio-ontology using the Object-oriented Ontology Manager(OOM). OOM views a term of an ontology as an object which can be an instance or a concept. OOM facilitates the semi-automatic construction of ontologies by an intuitive interface and by inferencing with links among complicated and informative ontology terns. The main advantage of OOM is simple-to-use not compromising expressiveness so that ontologies in a complicated domain such as bioinformatics can be modeled intuitively. The ontologies constructed by OOM are easily exported to ontologies in other ontology languages without semantic loss because the structures of both the ontology by OOM and the ontologies in most of standard ontology languages are analogous. A translator to another standard ontology language is also provided by OOM so that the ontology can be combined with others to be applied to more complicated applications.

• Journal of Oriental Neuropsychiatry
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• v.24 no.3
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• pp.201-210
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• 2013

Objectives : To review the recent trend of randomized controlled clinical trials on insomnia and to provide information for future clinical trials. Methods : A total of 667 pieces of literature were searched using the key words 'insomnia' and 'randomized controlled trial' and using the title 'insomnia' with the topic 'trial or trials', published from 2008 to 2012 through Web of Science. Studies including randomized controlled clinical trials were sorted from the search result and finally 104 pieces of the literature were selected and examined. Results : Besides 104 clinical trials, 14 trials related to CAM (Complementary and Alternative Medicine) were also reviewed. On average, 20 trials were annually conducted and they showed a growing trend. Participants were between 31 and 90 (34.6%), and were observed for less than 30 days (28.8%) in most trials. As intervention methods for clinical trials, non-pharmaceutical methods were used in 59 studies (56.7%), pharmaceutical drug in 43 studies (41.3%) and combinations in 2 studies (1.9%). In 60 studies, only insomnia without any underlying diseases was examined and other 44 studies involved other diseases. As diagnosis assessment tools, Sleep diary and Polysomnography were used. Conclusions : Randomized controlled trials relevant to insomnia were on the increase, but only a small number of clinical trials on Oriental Medicine have been performed. Larger scientific and well-founded randomized controlled trials are required for developing Oriental Medicine and establishing high-quality guideline going forward.

• Journal of Korean Library and Information Science Society
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• v.40 no.1
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• pp.433-449
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• 2009

The purpose of this study is to find out the factors which have interrupted Library Assisted Instruction in various schools' libraries and to analyze the factors by the tools and to propose the solutions to the obstacles for the desired Library Assisted Instruction. For doing this, some experimental processes had been made: firstly, to make the analysis model based on HPT for the improvement of the real LAI, secondly, to apply the model to LAI, to draw out the problems and to analyze them, and to propose the solutions. As the results of this study, the 5 solutions are presented; 1) LAIs should have the obvious and concrete teaching&learning objectives. 2) The supporting systems for LAI like the web community ought to be prepared. 3) External motivation systems, that is, teachers and teacher-librarians' performance assessment with LAI participation rate per year, should be developed. 4) The various, practical LAI programs should be developed. 5) The obscure refusal of teachers & teacher-librarians to LAI should be disappeared and the directors of schools should be confident of the LAI's educational, positive effects.

• Journal of Korea Multimedia Society
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• v.14 no.10
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• pp.1311-1322
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• 2011

Gesture is applied in many applications such as smart-phone, tablet-PC, and web-browser since it is a fast and simple way to invoke commands. For gesture applications, a gesture designer needs to consider both user and system during designing gestures. In spite of development of gesture design tools, some difficulties for gesture design still remains as followings; first, a designer must design every gesture manually one by one, and, second, a designer must repeatedly train gestures. In this paper, we propose a gesture proposal system that automates gesture training and gesture generation to provide more simple gesture design environment. Using automation of gesture training, a designer does not need to manually train gestures. Proposed gesture proposal system would decrease difficulties of gesture design by suggesting gestures of high recognition possibility that are generated based on mahalanobis distance calculation among generated and pre-existing gestures.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.11
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• pp.2544-2549
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• 2012

The computer programming education is very important to study the related subjects in computer science, and also in the technology education for the students finding employment. In this paper, we develop the assessment metrics to evaluate and apply the textual and visual programming in the computer education. Also, we analyze the validity for the programming languages and tools for the education and getting job of students, and choose the appropriate programming language/tool for programming education. And, we develop the curriculum for programming education, finally apply and analyze in computer education of university. Especially, we compare and analyze the effectiveness for the text based programming language(JAVA) and visual programming language/environment(LabVIEW) in the area of embedded/mobile/Web programming fields which are necessary in the related industry to the recent trend of IT technology.