• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.39-40
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• 2000

Knowledge discovery has attracted increased attention in the biomedical industry in recent years is due to the increased availability of huge amount of biomedical data and the imminent need to turn such data into useful information and knowledge. In this talk, we discuss knowledge discovery techniques for gene expression analysis and MHC-peptide binding prediction in the context of discovering protein antigens and hot spots in these antigens.

• The Korean Journal of Mycology
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• v.47 no.3
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• pp.209-218
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• 2019

During a survey of fungal diversity in Korea, two fungal strains, KNU17-1 and KNU17-199, were isolated from paddy field soil in Yangpyeong and Sancheong, respectively, in Korea. These fungal isolates were analyzed based on their morphological characteristics and the molecular phylogenetic analysis of the internal transcribed spacer (ITS) rDNA sequences. On the basis of their morphology and phylogeny, KNU17-1 and KNU17-199 isolates were identified as Albifimbria verrucaria and Deconica coprophila, respectively. To the best of our knowledge, A. verrucaria and D. coprophila have not yet been reported in Korea. Thus, this is the first report of these species in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.1008-1013
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• 2009

In this paper, we proposed the biological signal (body heat, pulse, breathe rate, and blood pressure) analysis system using wireless sensor. In order to analyze, we designed a back-propagation neural network system using expert group system. The proposed system is consist of hardware patt such as UStar-2400 ISP and Wireless sensor and software part such as Knowledge Base module, Inference Engine module and User Interface module which is inserted in Host PC. To improve the accuracy of the system, we implement a FEC (Forward Error Correction) block. For conducting simulation, we chose 100 data sets from Knowledge Base module to train the neural network. As a result, we obtained about 95% accuracy using 128 data sets from Knowledge Base module and acquired about 85% accuracy which experiments 13 students using wireless sensor.

• Journal of Korean Biological Nursing Science
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• v.15 no.3
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• pp.122-132
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• 2013

Purpose: The purpose of this study was to evaluate the effect of periodic video education on knowledge about hemodialysis, patient role behavior and the physiologic index in patients with hemodialysis. Methods: One-group pretest-posttest design was applied. A total of 50 patients with hemodialysis at a university hospital hemodialysis unit in Daegu participated. Periodic video education about kidney function, diet, arteriovenous fistula management, medication, and exercise was administered to them for 12 weeks at intervals of 2 weeks. Before and after the education, the participants completed the self-administered questionnaires of knowledge about hemodialysis and patient role behavior and the measures of serum potassium and phosphorus concentration, weight gain between hemodialysis sessions, and adequacy of dialysis (Kt/V). Statistical analysis was performed using paired t-test. Results: Knowledge about hemodialysis and patient role behavior were significantly different between before and after education (p<.01). For the physiologic index, serum potassium concentration and weight gain between hemodialysis sessions were not significantly different but the serum phosphorus concentration and Kt/V were significantly different between before and after education (p<.05). Conclusion: The results suggest that the periodic video education for patients with hemodialysis contributed to the change and improvement in knowledge about hemodialysis, patient role behavior, and the physiologic index.

• Journal of Korean Biological Nursing Science
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• v.16 no.4
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• pp.342-348
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• 2014

Purpose: The purpose of this study was to examine the effects of pressure ulcer classification system education on hospital nurses' knowledge and visual discrimination ability of pressure ulcer classification system and incontinence-associated dermatitis. Methods: One group pre- and post-test was used. A convenience sample of 96 nurses participating in pressure ulcer classification system education, were enrolled in single institute. The education program was composed of a 50-minute lecture on pressure ulcer classification system and case-studies. The pressure ulcer classification system and incontinence-associated dermatitis knowledge test and visual discrimination tool, consisting of 21 photographs including clinical information were used. Paired t-test was performed using SPSS/WIN 18.0. Results: The overall mean difference of pressure ulcer classification system knowledge (t=4.67, p<.001) and visual discrimination ability (t=10.58, p<.001) were statistically and significantly increased after pressure ulcer classification system education. Conclusion: Overall understanding of pressure ulcer classification system and incontinence-associated dermatitis after pressure ulcer classification system education was increased, but tended to have lack of visual discrimination ability regarding stage III, suspected deep tissue injury. Differentiated continuing education based on clinical practice is needed to improve knowledge and visual discrimination ability for pressure ulcer classification system, and comparison experiment research is required to evaluate its effects.

• Journal of Korean Biological Nursing Science
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• v.23 no.2
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• pp.110-118
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• 2021

Purpose: The purpose of this study was to survey the Coronavirus Disease 2019 (COVID-19) related knowledge, risk perception, preventive behaviors, depression, and anxiety levels among nursing students, and to identify factors that influence preventive behaviors. Methods: An online survey was conducted among nursing students from October 7, 2020 to October 12, 2020. The data were analyzed using independent t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression. Results: A total of 222 nursing students participated in this study. The correct answer rate for COVID-19 knowledge was 90.0%, risk perception was 5.51±1.26, and the rate for preventive behaviors was 92.5%. The depression score was 6.28±4.63; 59.9% of nursing students had depression, and the anxiety score was 5.56±3.98; 59.9% of nursing students had anxiety. COVID-19 preventive behaviors had a positive correlation with COVID-19 knowledge (r= .30, p< .001), COVID-19 risk perception (r= .18, p= .009), and anxiety (r= .21, p= .001). Factors influencing COVID-19 preventive behaviors by multiple regression were identified as COVID-19 knowledge, anxiety, physical health status before and after COVID-19, grade, practical experience after COVID-19, and COVID-19 risk perception (F = 12.46, p< .001, R²= 25.8%). Conclusion: The results of this research on factors influencing COVID-19 prevention behaviors can be used in the future to develop appropriate health policies for individual and community infectious disease prevention behaviors.

• Child Health Nursing Research
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• v.5 no.2
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• pp.211-234
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• 1999

The purpose of this article was to get hold of adolescent's needs for sex knowledge and to reveal their understanding of sex. These results may be applied to the sex education and counselling for adolescent. The participants of study were 267 students (females, 144 ; males, 123) who were the first and second grade form 1 middle and 2 high schools. They were asked to describe 3 questions that they wanted to know or to learn about sex. Their questions about sex were total 779(girls, subtotal 456, mean 3.2, boys, subtotal 323, mean, 2.6). These questions categorized to 9 items by content analysis. The items were ‘sexual drive, behavior and tendency(229, 29.4%)’ , ‘anatomy and physiology of reproductive system(140, 18.0%)’, ‘reproduction(131, 16.8%)’, ‘concept of sex(31, 4.0%)’, ‘acquaintance between the other sexes(17, 2.2%)’, and ‘the others(9, 1.2%)’ in order of frequency. The most frequent item that the student want to know or team about sex was ‘sexual drive, behavior and tendency’ except girls of sophomore in middle school. There were several features in participants' needs for sex knowledge as respects of the understanding of sex- biological sex, gender, and sexuality. The prominent feature in knowledge need of bio logical sex was that the participants had the interests according to their biological sex. They had the negative attitude to the phenomenons (ex, menstruation and pregnancy, phimosiectomy, etc) that they experienced or would experience due to their biological sex. A part of them asked the questions based the misconceptions and used the slangs or ‘××’, ect. to name the male or female genitalia. The male students wanted to know the female genitalia. The participants' understanding of gender reflected the sexism of our society, but they didn't accept and had doubts about the dual, hierarchical structure of that. The students, especially female seemed to be powerless to the harms of the sexual violence. Girls had much interest in their appearances and complained to our sexual culture that women comforted and served men. The participants had the dual perspective that the sexuality as respects of physiologic phenomenon was considered as natural but that as related to heterosexuals was as negative. And they deemed that men's sexual drive was stronger than women's and was difficult or was not able to be inhibited. They had much interests in homosexuality but reflected the negative attitude to that in our society. Adolescent felt wonder why the expressions of sexuality of adult were permitted but theirs were not. Lastly, a part of boys substituted querying the sexuality of animals for asking that of human. Maybe it was because of the embarrassment to talk about human's sexuality directly. The teenaged participants understood that the sex had not only the biological meanings but also the sociocultural meanings. They regarded the sex as natural and wanted to know it, but they had conceptions that it was difficult and embarrass to talk about it openly and directly.

• Industrial Engineering and Management Systems
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• v.16 no.1
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• pp.64-79
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• 2017

Identifying disease genes from human genome is a critical task in biomedical research. Important biological features to distinguish the disease genes from the non-disease genes have been mainly selected based on traditional feature selection approaches. However, the traditional feature selection approaches unnecessarily consider many unimportant biological features. As a result, although some of the existing classification techniques have been applied to disease gene identification, the prediction performance was not satisfactory. A small set of the most important biological features can enhance the accuracy of disease gene identification, as well as provide potentially useful knowledge for biologists or clinicians, who can further investigate the selected biological features as well as the potential disease genes. In this paper, we propose a new stepwise random forests (SRF) approach for biological feature selection and disease gene identification. The SRF approach consists of two stages. In the first stage, only important biological features are iteratively selected in a forward selection manner based on one-dimensional random forest regression, where the updated residual vector is considered as the current response vector. We can then determine a small set of important biological features. In the second stage, random forests classification with regard to the selected biological features is applied to identify disease genes. Our extensive experiments show that the proposed SRF approach outperforms the existing feature selection and classification techniques in terms of biological feature selection and disease gene identification.

• Genomics & Informatics
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• v.10 no.4
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• pp.263-265
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• 2012

We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering results can be interactively visualized and optimized on a heatmap. The present tool does not require any prior knowledge of scripting languages to carry out the data clustering and visualization. Furthermore, the heatmaps allow the selective display of data points satisfying user-defined criteria. For example, a clustered heatmap of experimental values can be differentially visualized based on statistical values, such as p-values. Including diverse menu-based display options, QCanvas provides a convenient graphical user interface for pattern analysis and visualization with high-quality graphics.

• ALGAE
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• v.31 no.2
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• pp.137-154
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• 2016

Next generation sequencing (NGS) technologies have revolutionized many areas of biological research due to the sharp reduction in costs that has led to the generation of massive amounts of sequence information. Analysis of large genome data sets is however still a challenging task because it often requires significant computer resources and knowledge of bioinformatics. Here, we provide a guide for an uninitiated who wish to analyze high-throughput NGS data. We focus specifically on the analysis of organelle genome and metagenome data and describe the current bioinformatic pipelines suited for this purpose.