• Journal of Computing Science and Engineering
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• v.3 no.3
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• pp.143-164
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• 2009

This article surveys recent research in the area of language modeling (sometimes called statistical language modeling) approaches to information retrieval. Language modeling is a formal probabilistic retrieval framework with roots in speech recognition and natural language processing. The underlying assumption of language modeling is that human language generation is a random process; the goal is to model that process via a generative statistical model. In this article, we discuss current research in the application of language modeling to information retrieval, the role of semantics in the language modeling framework, cluster-based language models, use of language modeling for XML retrieval and future trends.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.44 no.3
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• pp.335-341
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• 2018

This study was carried out to evaluate the possibility of willow plants (the genus Salix) as a cosmetic material. DPPH radical scavenging abilities of 70% ethanol extracts of S. gracilistyla, S. pseudolasiogyne, and S. koriyanagi were significantly increased compared to control. In addition, the treatment of three species of willow plant extracts significantly inhibited the production of nitric oxide (NO) in RAW 264.7 cells, indicating that they had anti-inflammatory activity, and all of them had collagenase inhibitory activity. Among them, the extracts of S. gracilistyla extracts exhibited the highest collagenase inhibitory activity. As a result of analyzing the collagenase inhibitory activity against the solvent fraction of S. gracilistyla extracts, water and butanol fractions showed the highest collagenase inhibitory activity. These results suggested that S. gracilistyla among the willow plants had high collagenase inhibitory activity, and thus it can be utilized for cosmetics as an effective functional cosmetic material in the future.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2433-2438
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• 2014

Cancer is the leading cause of the death, accounts for about 13% of all annual deaths worldwide. Many different fields of science are collaborating together studying cancer to improve our knowledge of this lethal disease, and find better solutions for diagnosis and treatment. Proteomics is one of the most recent and rapidly growing areas in molecular biology that helps understanding cancer from an omics data analysis point of view. The human proteome project was officially initiated in 2008. Proteomics enables the scientists to interrogate a variety of biospecimens for their protein contents and measure the concentrations of these proteins. Current necessary equipment and technologies for cancer proteomics are mass spectrometry, protein microarrays, nanotechnology and bioinformatics. In this paper, we provide a brief review on proteomics and its application in cancer research. After a brief introduction including its definition, we summarize the history of major previous work conducted by researchers, followed by an overview on the role of proteomics in cancer studies. We also provide a list of different utilities in cancer proteomics and investigate their advantages and shortcomings from theoretical and practical angles. Finally, we explore some of the main challenges and conclude the paper with future directions in this field.

• Biomedical Science Letters
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• v.11 no.2
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• pp.89-101
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• 2005

Obesity is increasing worldwide and has become a major health burden in Western societies affecting every third American and every fifth European. Obesity makes a major contribution to morbidity and mortality, predisposing individuals to cardiovascular disease and diabetes. Many new substances are currently being investigated for their usefulness in the pharmacotherapy of obesity. Most anti-obesity drugs can be divided into four groups: those that reduce food intake; those that alter metabolism; those that increase thermogenesis; and those that regulate hormone involved in feeding behavior. In this article we review these and other agents available in various countries for the treatment of obesity. Perhaps more importantly, we have focussed on areas of potential productivity in the future. Over the last 5 or so years, this impetus in obesity research has provided us with exciting new drugs targets involved in the regulation of feeding behavior and cellular mechanism involved in energy expenditure. Recent development in the quest for control of human obesity include the discovery of hormones, neuropeptides, receptors and transcription factors involved in feeding behavior, metabolic rate and adipocyte development. For developing new, perhaps even more specific pharmacological agents, further research is needed to understand the individual different genetic and physiological basis of obesity. It remains the hope of research scientists that in the not too distant future we shall see a new class of anti-obesity drugs arising logically from the molecular biology revolutions.

• Journal of the Korean Society of Earth Science Education
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• v.7 no.2
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• pp.159-168
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• 2014

This study was designed to 10 questions as development of GAP program for ninety high school students(each student of 30 with achievement as high, medium, and low categories), it was analyzed the perception of Earth scientist. High school students have a positive perception about a course in Earth science, but they have lack of knowledge about Earth scientist as a career man, and they can't recognize Earth scientist as a career. A failure of learning of Earth science for Students with low level achievement leads to a negative perception about Earth scientist and disconnection to future career. School education should provide an opportunity to encounter Earth scientist for students and it is badly in need of effort to connect to the job training program.

• Journal of Computing Science and Engineering
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• v.2 no.3
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• pp.221-248
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• 2008

Data provenance is the background knowledge that enables a piece of data to be interpreted and used correctly within context. The importance of tracking provenance is widely recognized, as witnessed by significant research in various areas including e-science, homeland security, and data warehousing and business intelligence. In order to further advance the research on data provenance, however, one must first understand the research that has been conducted to date and identify specific topics that merit further investigation. In this work, we develop a framework based on semiotics theory to assist in analyzing and comparing existing provenance research at the conceptual level. We provide a detailed review of data provenance research and compare and contrast the research based on d semiotics framework. We conclude with an identification of challenges that will drive future research in this field.

• Journal of Computing Science and Engineering
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• v.2 no.2
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• pp.162-179
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• 2008

We have developed a tool for annotation of electronic health record (EHR) data. Currently we are in the process of manually annotating a corpus of Norwegian general practitioners' EHRs with mainly linguistic information. The purpose of this project is to attain a linguistically annotated corpus of patient histories from general practice. This corpus will be put to future use in medical language processing and information extraction applications. The paper outlines some of our practical experiences from developing such a corpus and, in particular, the effects of semi-automated annotation. We have also done some preliminary experiments with part-of-speech tagging based on our corpus. The results indicated that relevant training data from the clinical domain gives better results for the tagging task in this domain than training the tagger on a corpus form a more general domain. We are planning to expand the corpus annotations with medical information at a later stage.

• Journal of Information Management
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• v.43 no.4
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• pp.143-167
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• 2012

In this study, survey analysis was conducted to determine the demands of science & technology information service by the groups of users. The questionnaire was composed of the need for 20 services in the science & technology information, the need for personal information to people-to-people exchanges, and information that can be shared with others. KOSEN users 1,013 people participated in the survey, and the analysis of variance was conducted depending on institution, profession, final degree and the age of the respondents. Results of frequency analysis, there were in high demands for trend analysis, papers, research reports, patents, knowledge queries, project announcements, jobs, experimental methods, information society and study abroad/Post-doc information, and all services except mentoring, community and blog were appeared to have the significant differences depending on the groups of users. Also the personal information deemed to be necessary for interaction with others was resulted in specialization, thesis/research performances, career, organization, jobs, final degree and education in order, there were partially difference depending on the user's groups. In addition, 97% of respondents had their own scientific and technical information to be shared with other people in order of papers, presentations (ppt), reports, experimental methods and the images. The results of this study can be used as useful information for scientists and engineers to develop a user-centered personalized services and are expected to be helpful to set the direction of science information services in the future.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.313-330
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• 2016

A coalition of information schools, called the iSchools Organization, was established to increase the visibility of library and information science and to cope with the new demands of the digital age. As of 2015, sixty-five schools from many different countries have joined the iSchools Organization. While some other schools are interested in adopting iSchools, there are still some issues that need to be considered before adopting the iSchool charter. This paper presents those issues from the perspectives of the 5C groups: curriculum, competencies, convergence, collaboration, and consensus. A survey was conducted to investigate some aspects of the 5Cs. This study identifies five iSchool-related issues - 5Cs. Providing perspectives in the areas of the 5Cs will be useful to establish stronger iSchools. These five Cs will resolve information problems that we are facing, prepare students or any organizations for the digital age, give students digital service skills, and train future data scientists. This paper represents practical guidelines to build a strong iSchool. With the success of iSchools, societies see us as more than the traditional librarian.

• Journal of Technology Innovation
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• v.12 no.1
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• pp.161-188
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• 2004

The objective of this research is to evaluate the Creative Research Initiative Program (CRI), a national R＆D program funded by the Ministry of Science ＆ Technology in Korea. The evaluation of CRI covers the following research questions; 1) Have it set a unique position and characteristic distinguished from other government-funded R＆D programs\ulcorner 2) Are the achievements of the program relevant to its goal\ulcorner 3) What is its performances and how much is it achieved its goal\ulcorner The results are the followings; 1) CRI is perceived as a pure basic research, distinguished from other national basic research programs, such as the Coal Oriented Basic Research Program and the SRC and ERC. 2) CRI is a well-adapted R＆D program in confront of the environmental changes and R＆D needs, as well as follows the planned R＆D areas. 3) CRI have performed well in the raising-up world-class research leaders and the nation-wide diffusion of creative R＆D culture, while it got few performances in the overcoming the limitation of the existing technologies and the independent development of original key technologies for future industries. However, the duration of the program, 5 year, is too short to expect concrete outcome, such as creating original technologies. Many of the outcomes of CRI gets a lot of attention from top class scientists in the world, it is expected to generate various R＆D performances in the future.