• Asian-Australasian Journal of Animal Sciences
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• v.24 no.7
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• pp.898-904
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• 2011

The PCR- restriction fragment length polymorphism (RFLP) in and around TM4 of SLC11A1 gene and its association with the incidences of brucellosis in Hariana breed (Bos indicus) and Holstein Friesian crossbred (Bos indicus${\times}$Bos taurus) cattle was examined. A fragment of 954 bp encoding the TM4 was amplified, and RFLP was identified by digestion of the amplicon independently with AluI and TaqI. The amplicon (GenBank Acc. No. AY338470 and AY338471) comprised of a part of exon V (<59 bp) and VII (62>), and entire intron 5 (423 bp), exon VI (71 bp) and intron 6 (339 bp). Digestion with AluI revealed the presence of two alleles viz, A (281, 255, 79 and 51 bp) and B (541, 255, 79 and 51 bp). The frequency of A allele was estimated as 0.80 and 0.73 in Hariana and crossbred cattle, respectively. Due to presence of a polymorphic TaqI site at intron 5, two alleles: T (552 and 402 bp) and Q (231, 321 and 402 bp) were identified. The frequency of T allele was estimated as 0.96 and 0.97, respectively. For association study, on the basis of serological tests and history of abortion, the animals were grouped into "affected" and "non-affected". However, no association could be established with the observed RFLPs.

• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.377-399
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• 2015

Objective: The aim of this study is to understand and identify the critical issues in vision research area using content analysis and network analysis. Background: Vision, the most influential factor in information processing, has been studied in a wide range of area. As studies on vision are dispersed across a broad area of research and the number of published researches is ever increasing, a bibliometric analysis towards literature would assist researchers in understanding and identifying critical issues in their research. Method: In this study, content and network analysis were applied on the meta-data of literatures collected using three search keywords: 'visual search', 'eye movement', and 'eye tracking'. Results: Content analysis focuses on extracting meaningful information from the text, deducting seven categories of research area; 'stimuli and task', 'condition', 'measures', 'participants', 'eye movement behavior', 'biological system', and 'cognitive process'. Network analysis extracts relational aspect of research areas, presenting characteristics of sub-groups identified by community detection algorithm. Conclusion: Using these methods, studies on vision were quantitatively analyzed and the results helped understand the overall relation between concepts and keywords. Application: The results of this study suggests that the use of content and network analysis helps identifying not only trends of specific research areas but also the relational aspects of each research issue while minimizing researchers' bias. Moreover, the investigated structural relationship would help identify the interrelated subjects from a macroscopic view.

• Journal of Microbiology and Biotechnology
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• v.26 no.8
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• pp.1375-1382
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• 2016

The extremely halophilic archaeon Halobacterium noricense is a member of the genus Halobacterium. Strain CBA1132 (= KCCM 43183, JCM 31150) was isolated from solar salt. The genome of strain CBA1132 assembled with 4 contigs, including three rRNA genes, 44 tRNA genes, and 3,208 open reading frames. Strain CBA1132 had nine putative CRISPRs and the genome contained genes encoding metal resistance determinants: copper-translocating P-type ATPase (CtpA), arsenical pump-driving ATPase (ArsA), arsenate reductase (ArsC), and arsenical resistance operon repressor (ArsR). Strain CBA1132 was related to Halobacterium noricense, with 99.2% 16S rRNA gene sequence similarity. Based on the comparative genomic analysis, strain CBA1132 has distinctly evolved; moreover, essential genes related to nitrogen metabolism were only detected in the genome of strain CBA1132 among the reported genomes in the genus Halobacterium. This genome sequence of Halobacterium noricense CBA1132 may be of use in future molecular biological studies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.177-195
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• 2021

The purpose of this study is to examine the trouble of recruitment and research and development of ICT SMEs. Recently, many ICT SMEs have emerged for selling products and services using the technology of the 4th industrial revolution. However, SMEs have relatively deficient resources compared to large companies, the difficulty of maintenance or growth of human resources and intangible resources. This research methodology organized the four stages of the analysis process. The first analysis is the association rules for human resource recruitment. The second analysis is the difficulty of hiring jobs and experienced workers by each stage of company growth. The third analysis is a regression analysis of the trouble of R&D activity. The last analysis is an analysis of association rules on the difficulties of management activities by company growth. As the research result, the first analysis has shown a difference in favored human resources by the ICT industry. The second analysis also showed factor differences in job recruitment difficulties for each stage of corporate growth. In the third analysis, the operation of research institutes in ICT SMEs is influenced by industry type, corporate certification, corporate growth stage, self-technology development, joint technology development, technology transfer, and commercialization. As the last analysis, ICT SMEs showed factor differences in difficulties in management activities by stage of corporate growth. This study contributed empirically emphasizing the troubling phenomenon of human resources and R&D necessary for the growth of ICT SMEs. As a theoretical implication, this research contributed to the research-area expansion of management information using big-data technologies. In particular, this research practically suggests the differentiated direction of recruitment and R&D by ICT SMEs based on industry and each stage of company growth through the association rules of big data.

• Journal of the Korean Society of School Health
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• v.33 no.3
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• pp.184-193
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• 2020

Purpose: This study was designed to investigate the trends in school health research in Korea using probabilistic latent semantic analysis. The study longitudinally analyzed the abstracts of the papers published in 「The Journal of the Korean Society of School Health」 over the recent 17 years, which is between 2004 and August 2020. By classifying all the papers according to the topics identified through the analysis, it was possible to see how the distribution of the topics has changed over years. Based on the results, implications for school health research and educational uses of latent semantic analysis were suggested. Methods: This study investigated the research trends by longitudinally analyzing journal abstracts using latent dirichlet allocation (LDA), a type of LSA. The abstracts in 「The Journal of the Korean Society of School Health」 published from 2004 to August 2020 were used for the analysis. Results: A total of 34 latent topics were identified by LDA. Six topics, which were「Adolescent depression and suicide prevention」, 「Students' knowledge, attitudes, & behaviors」, 「Effective self-esteem program through depression interventions」, 「Factors of students' stress」, 「Intervention program to prevent adolescent risky behaviors」, and 「Sex education curriculum, and teacher」were most frequently covered by the journal. Each of them was dealt with in at least 20 papers. The topics related to 「Intervention program to prevent adolescent risky behaviors」, 「Effective self-esteem program through depression interventions」, and 「Preventive vaccination and factors of effective vaccination」 appeared repeatedly over the most recent 5 years. Conclusion: This study introduced an AI-powered analysis method that enables data-centered objective text analysis without human intervention. Based on the results, implications for school health research were presented, and various uses of latent semantic analysis (LSA) in educational research were suggested.

• Journal of Engineering Education Research
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• v.24 no.6
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• pp.60-66
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• 2021

The paper aimed to analyze research trends and productivity, targeting papers published for the past 24 years in The Journal of Engineering Education Research, For the research trend analysis, the content analysis was conducted and research productivity of authors was investigated through Lotka's Law. The research subject were 897 papers published on The Journal of Engineering Education Research from 1998 to June 2021. Research findings are as follows. First, the pattern of writing showed that percentage of co-authors over 2 was higher than single author. Second, the authors were most likely to belong the university, followed by government agency, affiliated organization and Research institutes in universities. Third, the flow of records in giving paper showed that the number of continuants has decreased over time and only a few writers have presented their papers. Fourth, the analysis results on the research productivity discovered difference in actual figure and revised, theoretical one, which indicates that Lotka's Law was not applied to The Journal of Engineering Education Research. Based on findings as shown below, we suggested a series of plans to develop The Journal of Engineering Education Research and increase research productivity in future.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.329-337
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• 2013

In this paper, we review scientometric analysis through paper analysis of each organization and author to decide research direction for autonomous driving vehicles. We confirms research trend of autonomous driving vehicle by using number of papers. Analysis of Index Level, International Cooperation Research Network, Analysis of Key and Q-L distribution according to each organization and author.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.321-328
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• 2013

In this paper, we review scientometric analysis through paper analysis of an each nation to decide research direction for autonomous driving vehicles. We confirms research trend of autonomous driving vehicle by using Analysis of Index Level, International Cooperation Research Network, Analysis of Key of Nations according to an each nation.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.444-449
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• 2001

There have been many accidents of passenger ships on the sea and they have caused a big loss of human lives. Maritime Safety Committee(MSC) of International Maritime Organization(IMO) made evacuation analysis of Ro-Ro passenger ships mandatory in order to save as many lives as possible at the time of accident. But this is a temporary regulation and HSC/IMO ties to introduce a performance-based regulation to improve the effect of regulation. Simulation-based evacuation analysis is the basis of performance-based regulation. In this paper, we performed a simulation-based evacuation analysis on a passenger ship, which is usually used in the plying between land and islands in Korea, with EXODUS system. Through inspecting the results from this analysis in more detail, we can make a proposal to improve the safety of passenger ship. Finally we describe the features of IMEX(Intelligent Model for Extrication Simulation), a new evacuation model being developed in KRISO.

• Korean journal of food and cookery science
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• v.25 no.5
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• pp.606-618
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• 2009

The purpose of this study was to analyze research trends in scholarly journals that were related to the globalization of Korean food and to provide information on the future of these trends such as various creative subject selection and research methods. 70 papers pertaining to Korean food research, such as academic journals expected to be registered, and national-scale academic papers, were selected. This research was conducted from April 6 to April 22. 2009. The results of this study were as the follows: First, most of the papers, 20(28.6%), were published in the journal of Korean journal of food culture. In addition, most articles had a single author, 24(34.3%). In regard to the profession of the auther, university professor was the most frequent profession, 127 persons(68.3%). In terms of the research subjects, preference was the most dominant preference(19.2%). Investigatory research was the most frequent research method, 58 papers(82.9%). Furthermore, foreigners and natives were the most dominant research objects, 21 papers(30.0%). As for the analysis methods, frequency analysis, one-way ANOVA, T-test, reliability analysis, and factor analysis were used the most in that order. Future studies should includ papers for master's degrees and doctorial degrees.