• Title/Summary/Keyword: Number of Clusters

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A feasibility study on new stimulation method in fMRI language examinations using custom designed images (기능적 자기공명영상의 언어기능검사 시 image를 이용한 자극방법의 타당성 연구)

  • Choi, Kwan-Woo;Son, Soon-Yong;Jeong, Mi-Ae;Min, Jung-Whan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.5005-5011
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    • 2011
  • The purpose of this work is to know the validity of a new stimulation method in cognitive functional imaging using custom-designed images correspond to words or syllables improving the shortcomings of existing method using text. From March 2011 to May five Subjects in need of language related functional MRI scanning were selected and both of text stimulating method and image stimulating method sacanning were carried out three times each. Using 3.0T Philps MRI machine and Invivo Co's Eloquence system, data acquisition was performed with EPI-BOLD technique. Post processing was performed with SPM 99 while the activated signals were determined within 95 percent confidence level.The number of activation clusters and the activation ratio inside ROI were compared. As as result, all of the subject showed activation inside Broca area but it did not have statistical significance. In conclusion, the image sitimulation method has potential because image itself is a common means of recognition and it can be recognised easily even if there language barrier. This stimulation method can be applied to replacing the exising scanning method especially in the elderly, infants, foerigners who may not fully understand about the examination.

Use of 16S-23S rRNA Intergenic Spacer Region for Rapid Detection of Vibrio fluvialis (16S-23S rRNA Intergenic Spacer Region을 이용한 Vibrio fluvialis의 검출)

  • 강현실;허문수;이제희
    • Korean Journal of Environmental Biology
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    • v.21 no.1
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    • pp.77-85
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    • 2003
  • We have examined the 16S-23S rRNA intergenic spacer regions (ISR) of Vibrio fluvialis. ISRs were PCR amplified, cloned into a plasmid vector and then sequenced. As results of ISR nucleotide sequence analysis, total of 6 clones were isolated depending on the size. The clones were different in both the number and the composition of the tRNA genes, and were designated ISR-A, ISR-E, ISR-El, ISR-lA, ISR-EKV, ISR-EKAV. ISR-A contains $tRNA^{Ala}$; ISR-lA, $tRNA^{Ile}$-$tRNA^{Ala}$; ISR-EKV, $tRNA^{GIu}$-$tRNA^{Lys}$-$tRNA^{Val}$;ISE-EKAV, $tRNA^{GIu}$-$tRNA^{Lys}$-$tRNA^{Ala}$-$tRNA^{Val}$; ISR -E and E1, $tRNA^{GIu}$ clusters. ISR-EKV was shown to be a minor type out of the six ISR types and showed a very limited homology between ISR-EKV from V, fluvialis and ISRa from other Vibrio species. Therefore ISR-EKV sequence was used to design species-specific primers to detect V, fiuvialis from other Vibrio species by PCR reaction. The specificity of the primers was examined using genomic DNA of other Vibrios as templates for PCR reaction. The result showed that PCR can be a useful method to detect V. fluvialis among Vibrio species in a single PCR reaction.

Antibiotic Resistance and Bacterial Biofilm Formation by Staphylococcus aureus Strains Isolated from Various Foods (식품에서 분리한 황색포도상구균의 항생제 내성 특징 및 균막 형성)

  • Lee, Joo-Young;Wang, Hae-Jin;Shin, Dong-Bin;Cho, Yong-Sun
    • Microbiology and Biotechnology Letters
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    • v.41 no.1
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    • pp.96-104
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    • 2013
  • Staphylococcus aureus is a major human pathogen that produces a wide array of toxins, leading to a number of adverse symptoms. We examined 275 strains of Staphylococcus aureus isolated from various foods between 2006 and 2008 for antimicrobial susceptibility. At least 259 (94.2%) of the tested strains showed antibiotic resistant properties, and 106 (40.7%) of them showed multiple antibiotic resistance. Eleven of the tested strains were resistant to oxacillin and mec A-positive. Moreover, oxacillin-resistant strains were significantly more likely to be multi-drug resistant (p < 0.01). Of the 275 isolates tested, 24.4% were noted as being positive for slime production and 30.5% were positive for biofilm assay. Antibiotic resistance was not associated with a significantly higher prevalence of biofilm formation. Twenty strains were classified using the DiversiLab system. Most of the strains could be classified into 2 clusters and 4 unique types. All 10 mec A-positive strains (cluster I) were grouped together into the same sub-cluster. Cluster II (6 strains) was not found to be resistant to oxacillin in this study. Although the prevalence of methicillin-resistant S. aureus in food is currently low, the risk of its transmission through the food chain cannot be disregarded.

A Study on Analysis of Research Data Repository in Humanities and Social Sciences (re3data를 기반으로 한 인문사회 RDR 연구)

  • Cho, Jane;Park, Jong-Do
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.30 no.2
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    • pp.69-87
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    • 2019
  • As the discussions on sharing research data prevail by the chance of the inauguration of the International Open Data Charter, research support organizations in the United States, the United Kingdom, and Japan are encouraging researchers to deposit their findings in a credible repository. Humanities and social sciences field, in which research data sharing culture and storage infrastructure are immature compared to life science and natural science, also needs to establish and operate a reliable storage infrastructure to guarantee the continuous access and utilization of data. This study analyzed the overall operational status of 305 subject repositories registered in re3data for the humanities and social sciences and clustered them according to the operational level using 5 indicators. As a result, 70% of the population were identified as universal clusters, and 20% of the excellent cluster was found to have the largest number of linguistic fields and the German-operated. In addition, this study confirmed through correspondence analysis that there is a relation between the sub-theme fields of humanities and social sciences and the types of data to be archived. The history and art domians are related to images, and social studies are related to statistical data. Linguistics has also been analyzed to be related to audio, plain text, and code.

Antimicrobial Activity of Specific IgY against Salmonella gallinarum (Salmonella gallinarum에 대한 specific IgY의 항균력)

  • Kim, Mi-Hyun;Rho, Jeong-Hae;Kim, Young-Boong;Shon, Dong-Hwa;Jung, Soon-Hee
    • Korean Journal of Food Science and Technology
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    • v.39 no.5
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    • pp.552-557
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    • 2007
  • In this study, we investigated the antimicrobial effects of anti-Salmonella gallinarum-specific IgY separated from egg yolk obtained from layers immunized by S. gallinarum. The comparison tests of vaccination, content of IgY and innoculation number were examined by microscopic observation, turbidity, and pH. The results show that the ratio of anti-S. gallinarum IgY in the total IgY was 23%. Also, the anti-S. gallinarum IgY had selectivity only to S, gallinarum. The 0.3% addition of anti-S. gallinarum-specific IgY resulted in agglutinating clusters of S, gallinarum cells, but the agglomeration didn#t occur in IgY from layers not immunized nor in the control group. Microscopic observation indicated agglomerative cells when IgY was added at 0.2% or higher, and the pH and turbidity examinations revealed that a suppression effect was remarkable in IgY at more than 0.1%. These results suggest the possibility that IgY extracted from eggs and obtained from layers immunized by S. gallinarum can be used to prevent fowl typhoid.

Development of a data analysis system for preventing school violence based on AI unsupervised learning (AI 비지도 학습 기반의 학교폭력 예방 데이터 분석 시스템 개발)

  • Jung, Soyeong;Ma, Youngji;Koo, Dukhoi
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.741-750
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    • 2021
  • School violence has long been recognized as a social problem, and various efforts have been made to prevent it. In this study, we propose a system that can prevent school violence by analyzing data on the frequency of conversations between students, friendship and preference to be in the same group. This data was quantified using a Likert scale questionnaire, and also grouped into the appropriate number of clusters using the K-means algorithm. Additionally, the homeroom teacher observed the frequency and nature of conversations between students, and targeted specific individuals or groups for counseling and intervention, with the aim of reducing school violence. Data analysis revealed that the teachers' qualitative observations were consistent with the quantified data based on student questionnaires, and therefore applicable as quantitative data towards the identification and understanding of student relationships within the classroom. The study has potential limitations. The data used is subjective and based on peer evaluations which can be inconsistent as the students may use different criteria to evaluate one another. It is expected that this study will help homeroom teachers in their efforts to prevent school violence by understanding the relationships between students within the classroom.

Domain Analysis on the Field of Open Access by Co-Word Analysis: Based on Published Journals of Library and Information Science during 2013 to 2018 (동시출현단어 분석을 활용한 오픈액세스 분야의 지적구조 분석: 2013년부터 2018년까지 출판된 문헌정보학 저널을 기반으로)

  • Kim, Sun-Kyum;Kim, Wan-Jong;Seo, Tae-Sul;Choi, Hyun-Jin
    • Journal of Korean Library and Information Science Society
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    • v.50 no.1
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    • pp.333-356
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    • 2019
  • Open access has emerged as an alternative to overcome the crisis brought by scholarly communication on commercial publishers. The purpose of this study is to suggest the intellectual structure that reflects the newest research trend in the field of open access, to identify how the subject area is structured by using co-word analysis, and compare and analyze with the existing study. In order to do this, the total number of dataset was 761 papers collected from Web of Science during the period from January 2012 to November 2018 using information science and 2,321 keywords as a noun phase are extracted from titles and abstracts. To analyze the intellectual structure of open access, 13 topic clusters are extracted by network analysis and the keywords with higher centrallity are drawn by visualizing the intellectual relationship. In addition, after clustering analysis, the relationship was analyzed by plotting the result on the multidimensional scaling map. As a result, it is expected that our research helps the research direction of open access for the future.

A Big Data Based Random Motif Frequency Method for Analyzing Human Proteins (인간 단백질 분석을 위한 빅 데이타 기반 RMF 방법)

  • Kim, Eun-Mi;Jeong, Jong-Cheol;Lee, Bae-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1397-1404
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    • 2018
  • Due to the technical difficulties and high cost for obtaining 3-dimensional structure data, sequence-based approaches in proteins have not been widely acknowledged. A motif can be defined as any segments in protein or gene sequences. With this simplicity, motifs have been actively and widely used in various areas. However, the motif itself has not been studied comprehensively. The value of this study can be categorized in three fields in order to analyze the human proteins using artificial intelligence method: (1) Based on our best knowledge, this research is the first comprehensive motif analysis by analyzing motifs with all human proteins in Protein Data Bank (PDB) associated with the database of Enzyme Commission (EC) number and Structural Classification of Proteins (SCOP). (2) We deeply analyze the motif in three different categories: pattern, statistical, and functional analysis of clusters. (3) At the last and most importantly, we proposed random motif frequency(RMF) matric that can efficiently distinct the characteristics of proteins by identifying interface residues from non-interface residues and clustering protein functions based on big data while varying the size of random motif.

Analysis of data on prevention of school violence based on AI unsupervised learning (AI 비지도 학습 기반의 학교폭력 예방 데이터 분석)

  • Jung, Soyeong;Ma, Youngji;Koo, Dukhoi
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.85-91
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    • 2021
  • School violence has long been recognized as a social problem, and various efforts have been made to prevent it. In this study, we propose a system that can prevent school violence by analyzing data on the frequency of conversations between students, and identify peer relationships. The frequency of conversations between students in the class was quantified using a rating scale questionnaire, and this data was grouped into the appropriate number of clusters using the K-means algorithm. Additionally, the homeroom teacher observed the frequency and nature of conversations between students, and targeted specific individuals or groups for counseling and intervention, with the aim of reducing school violence. Data analysis revealed that the teachers' qualitative observations were consistent with the quantified data based on student questionnaires, and therefore applicable as quantitative data towards the identification and understanding of student relationships within the classroom. The study has potential limitations. The data used is subjective and based on peer evaluations which can be inconsistent as the students may use different criteria to evaluate one another. It is expected that this study will help homeroom teachers in their efforts to prevent school violence by understanding the relationships between students within the classroom.

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A Performance Improvement Scheme for a Wireless Internet Proxy Server Cluster (무선 인터넷 프록시 서버 클러스터 성능 개선)

  • Kwak, Hu-Keun;Chung, Kyu-Sik
    • Journal of KIISE:Information Networking
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    • v.32 no.3
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    • pp.415-426
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    • 2005
  • Wireless internet, which becomes a hot social issue, has limitations due to the following characteristics, as different from wired internet. It has low bandwidth, frequent disconnection, low computing power, and small screen in user terminal. Also, it has technical issues to Improve in terms of user mobility, network protocol, security, and etc. Wireless internet server should be scalable to handle a large scale traffic due to rapidly growing users. In this paper, wireless internet proxy server clusters are used for the wireless Internet because their caching, distillation, and clustering functions are helpful to overcome the above limitations and needs. TranSend was proposed as a clustering based wireless internet proxy server but it has disadvantages; 1) its scalability is difficult to achieve because there is no systematic way to do it and 2) its structure is complex because of the inefficient communication structure among modules. In our former research, we proposed the All-in-one structure which can be scalable in a systematic way but it also has disadvantages; 1) data sharing among cache servers is not allowed and 2) its communication structure among modules is complex. In this paper, we proposed its improved scheme which has an efficient communication structure among modules and allows data to be shared among cache servers. We performed experiments using 16 PCs and experimental results show 54.86$\%$ and 4.70$\%$ performance improvement of the proposed system compared to TranSend and All-in-one system respectively Due to data sharing amount cache servers, the proposed scheme has an advantage of keeping a fixed size of the total cache memory regardless of cache server numbers. On the contrary, in All-in-one, the total cache memory size increases proportional to the number of cache servers since each cache server should keep all cache data, respectively.