• 지역사회간호학회지
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• 제24권3호
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• pp.282-291
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• 2013

Purpose: The purpose of this study was to identify the Clusters of health promoting schools in middle and high schools for the Korean Youth Risk Behaviors Web-based Survey. Methods: The tool of health promoting school was developed based on a framework for action for health promoting schools in World Health Organization and Schools Health Index for middle and high schools in the United States by 2 professionals and 2 health teachers and revised as a result of the preliminary study. Data were collected with a questionnaire from teachers who attended the conference run by Korean Centers for Communicable Disease Control and Prevention in 2009. The data of 363 schools were analyzed using descriptive analysis, t-test, and ANOVA. Results: As a result of comparing the scores of health promoting schools, three Clusters were identified. The Clusters differed significantly in presence of health teacher, location, and type of schools (p<.05). Conclusion: These results are a good reference in developing tailored strategies for health promoting schools, which will help improve health-promoting schools.

• Genomics & Informatics
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• 제5권1호
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• pp.10-18
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• 2007

Numerous studies have reported that genes with similar expression patterns are co-regulated. From gene expression data, we have assumed that genes having similar expression pattern would share similar transcription factor binding sites (TFBSs). These function as the binding regions for transcription factors (TFs) and thereby regulate gene expression. In this context, various analysis tools have been developed. However, they have shortcomings in the combined analysis of expression patterns and significant TFBSs and in the functional analysis of target genes of significantly overrepresented putative regulators. In this study, we present a web-based A Functional Clustering Analysis Tool for Predicted Transcription Regulatory Elements and Gene Ontology Terms (FCAnalyzer). This system integrates microarray clustering data with similar expression patterns, and TFBS data in each cluster. FCAnalyzer is designed to perform two independent clustering procedures. The first process clusters gene expression profiles using the K-means clustering method, and the second process clusters predicted TFBSs in the upstream region of previously clustered genes using the hierarchical biclustering method for simultaneous grouping of genes and samples. This system offers retrieved information for predicted TFBSs in each cluster using $Match^{TM}$ in the TRANSFAC database. We used gene ontology term analysis for functional annotation of genes in the same cluster. We also provide the user with a combinatorial TFBS analysis of TFBS pairs. The enrichment of TFBS analysis and GO term analysis is statistically by the calculation of P values based on Fisher’s exact test, hypergeometric distribution and Bonferroni correction. FCAnalyzer is a web-based, user-friendly functional clustering analysis system that facilitates the transcriptional regulatory analysis of co-expressed genes. This system presents the analyses of clustered genes, significant TFBSs, significantly enriched TFBS combinations, their target genes and TFBS-TF pairs.

• 한국자원식물학회지
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• 제32권3호
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• pp.244-253
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• 2019

In crop breeding program, information about genetic dissimilarity on breeding resources is very important to corroborate genealogical relationships and to predict the most heterozygotic hybrid combinations and inbred breeding. This study aimed to evaluate the genetic variation in Kenyan sunflower breeding lines based on simple sequence repeat (SSR). A total of 83 alleles were detected at 32 SSR loci. The allele number per locus ranged from 2 to 7 with an average of 2.7 alleles per locus detected from the 24 sunflower accessions and the average value of polymorphic information contents (PIC) were 0.384. A cluster analysis based on the genetic similarity coefficients was conducted and the 24 sunflower breeding resources were classified into three groups. The principal coordinates (PCoA) revealed 34% and 13.38% respectively, and 47.38% of total variation. It was found that the genetic diversity within the Kenyan sunflower breeding resources was narrower than that in other sunflower germplasm resources, suggesting the importance and feasibility of introducing elite genotypes from different origins for selection of breeding lines with broader genetic base in Kenyan sunflower breeding program.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.865-873
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• 2021

COVID-19 pandemic has brought the world into economic recession. This study aims to present an analysis of the readiness of creative e-commerce in Indonesia. Data was collected from various locations that may represent the Creative Industry in Indonesia. The quantitative method has been applied as a research approach by gathering questionnaires from 383 business owners selected using the cluster random sampling method. Based on the results of the analysis and discussion, it is concluded that E-Commerce Readiness is very important in times of uncertainty such as the COVID-19 pandemic. The level of readiness will determine the continuity and sustainability of a company or business in a volatile business environment. E-Commerce Readiness can be evaluated based on Technology Readiness, Organizational Readiness, and Environmental Readiness. Not all perspectives are taken into consideration in making decisions about the implementation or improvement of E-Commerce in the pandemic period. Technology Readiness is seen as the most significant impact on a company's ability to cope with volatility, while Environmental Constraints encourage businesses to adopt E-Commerce and take it to the next level. On the other hand, Organizational Readiness has no effect on the E-Commerce readiness of the company because the company or organization does not consider this aspect.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 춘계종합학술대회 A
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• pp.517-520
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• 2008

헬스케어 환경을 지원하는 무선 센서 네트워크는 사람이나 이동성을 가진 사물에 대하여 연속적인 위치변화와 상태정보 등 해당 상황정보에 따른 맞춤형 서비스를 제공해야 한다. 또한 센서 네트워크를 통해 제공되는 사람의 생체정보와 개인 프라이버시 보안을 보장할 수 있는 데이터 전송을 고려하여야 한다. 본 논문에서는 노드 간 계층적 클러스터의 구성을 통한 동적 자기구성, 에너지 효율성을 보장하는 LEACH 프로토콜과 노드 간 데이터 전송에 대한 보안을 위해 사용되는 키 분배 프로토콜에 대해 분석한다. 이 분석 결과를 기반으로 센서노드에 메모리 소모량이 적은 키 풀 사전 분배 방식과 클러스터 단위 공용키 방식을 적용함으로써 보안을 강화한 데이터 전송 방식과 기존 LEACH 프로토콜의 취약점인 노드 이동성을 지원하는 자기구성 라우팅 프로토콜을 제안한다.

• 한국비블리아학회지
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• 제29권2호
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• pp.35-56
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• 2018

본 연구는 공공데이터 포털을 통해 개방된 도서관 관련 데이터의 현황을 다각도로 살펴보며, 공개된 데이터의 수준과 공개 주체에 따라 데이터의 활용 정도에 어떠한 차이가 나타나는지 분석하였다. 또한 데이터의 공개주체를 지방자치단체와 국가 및 공공기관으로 구분하여 데이터에 부여된 키워드를 활용해 PathFinder Network 분석을 수행함으로써 양 주체가 공개한 데이터의 주제 군집과 중심성에 어떠한 차이를 보이는지 분석하였다. 그 결과 국가 및 공공기관이 공개한 데이터로부터는 연구자료 등을 중심으로 4개의 주제군집이, 지방자치단체가 공개한 데이터로부터는 소장자료, 평생교육프로그램 등을 중심으로 8개의 주제 군집이 형성되었으며, 국가 및 공공기관이 공개한 데이터가 학교 및 공공도서관의 단순 현황을 주로 공개하고 있는 지방자치단체 공개 데이터보다 높은 활용도를 나타냈다.

• Genomics & Informatics
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• 제7권2호
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• pp.85-96
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• 2009

The differentiation of neural precursor cells (NPCs) into neurons and astrocytes is a process that is tightly controlled by complicated and ill-defined gene networks. To extend our knowledge to gene networks, we performed a temporal analysis of gene expression during the differentiation (2, 4, and 8 days) of spinal cord-derived NPCs using oligonucleotide microarray technology. Out of 32,996 genes analyzed, 1878 exhibited significant changes in expression level (fold change>2, p<0.05) at least once throughout the differentiation process. These 1878 genes were classified into 12 groups by k-means clustering, based on their expression patterns. K-means clustering analysis revealed that the genes involved in astrogenesis were categorized into the clusters containing constantly upregulated genes, whereas the genes involved in neurogenesis were grouped to the cluster showing a sudden decrease in gene expression on Day 8. Functional analysis of the differentially expressed genes indicated the enrichment of genes for Pax6- NeuroD signaling.TGFb-SMAD and BMP-SMAD.which suggest the implication of these genes in the differentiation of NPCs and, in particular, key roles for Nova1 and TGFBR1 in the neurogenesis/astrogenesis of mouse spinal cord.

• 복식문화연구
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• 제28권5호
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• pp.639-651
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• 2020

This study utilized data to classify and characterize the body types of plus-size adult men aged in their 30s and 40s. Diversity is an important factor in the era of inclusive design, and discussion about size diversity to include the plus size should be accommodated. Data from 493 adult men classified as obese (with a World Health Organization criterion ≥25 BMI) were used for the analysis. The results of the study are as follows. Six independent factors were extracted using factor analysis for cluster analysis, which were then classified into five types. Type 1 (29.01%) was identified as body type I with the smallest degree of obesity. Type 2 (15.4%) was identified as body type Y with wide shoulders and a thin waist. Type 3 (14.2%) was the largest body volume (body type O), while the fourth (19.27%) identified as body type H has a large height and upper body. Lastly, type 5 (22.11%) has a long lower body and a slim abdomen, referred to as body type X. This study presents a basis for the development of various clothing sizes utilizing the body shape characteristics of plus-size men in their 30s and 40s. Follow-up research is needed to develop patterns for plus size men and to design various products.

• 한국의류학회지
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• 제32권2호
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• pp.201-211
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• 2008

The purpose of this study was to clarify the concept of consideration set of stores and to contribute to the prediction of consumers' store behavior by finding out which consumer characteristics affect the formation of consideration set of stores. The data were collected from 553 female consumers. Factor analysis, K-cluster analysis, and ANOVA were used for data analysis. The results of this study were as follows: First, the respondents were classified into seven groups based on the number of stores and store types they considered. Second, there were significant differences among groups in consumer characteristics such as knowledge, motivation, and solubility; especially, the differences were related to the number of considering store rather than the types of considering store. In other words, the more involvement in clothing and the more experience and knowledge about apparel purchases a consumer had, the more stores the consumer considered. This study is meaningful in that it provides a systematic organization of the concept of consideration set of stores.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.294-300
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• 2022

The article highlights the European experience of innovative educational technologies of training management specialists. Based on existing strategies, relevant in the European educational space, the introduction of regulatory elements to maintain a balance between the traditional and innovative format of the educational process, which is typical for the Ukrainian education system is proposed. The article aims to single out educational and technological innovations into a separate cluster of managerial training at different levels in the context of the principles of the modern synergetic sociocultural paradigm. The main objectives of the work are to develop settings to ensure the effective functioning of innovative educational technologies. Among the synergetic principles of educational technologies, providing the formation of necessary competencies of future managers, are: self-organization, interdisciplinarity, nonlinearity, individuality, and technologization. The methods used in the scientific study can be attributed to the group of scientific synergetic methodology. So, the training of specialists in management, implemented in the European practice assumes the use of new educational strategies. These technologies provide both the necessary skills of different levels (hard-soft-digital skills) and the observance of value components (solidarity, ethics, inclusiveness, openness).