• Journal of applied mathematics & informatics
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• v.6 no.3
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• pp.835-850
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• 1999

The present paper deals with the problem of nonselective harvesting in a partly infected prey and predator system in which both the susceptible prey and the predator follow the law of logistic growth and some preys avoid predation by hiding. The dynamical behaviour of the system has been studied in both the local and global sense. The optimal policy of exploitation has been derived by using Pontraygin's maximal principle. Numerical analysis and computer simulation of the results have been performed to investigate the golbal properties of the system.

• Annual Conference on Human and Language Technology
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• 2014.10a
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• pp.119-121
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• 2014

커뮤니티 질의응답 시스템(cQA)은 기존에 구축된 '질문-답' 쌍에서 사용자의 질문과 비교하여 유사도 순으로 결과를 보여주는 시스템이다. 본 논문에서는 '국립국어원'의 질의응답 게시판에 적용 가능한 '커뮤니티 질의응답 시스템'을 소개하고, 국립국어원 질의응답 게시판의 질문 특성을 분석하여 cQA의 성능 향상을 위한 자질 추출 방법을 제시한다.

• Journal of applied mathematics & informatics
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• v.39 no.5_6
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• pp.895-918
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• 2021

Human African Trypanosomiasis (HAT) also known as sleeping sickness, is a neglected tropical vector borne disease caused by trypanosome protozoa transmitted by bites of infected tsetse fly. The basic reproduction number, R₀ derived using the next generation matrix method which shows that the disease persists in the population if the value of R₀ > 1. The numerical simulations of optimal control model carried out to determine the control strategy that can combat HAT under the minimum cost. The results indicate that, the use of both education campaign, treatment and insecticides are more efficient and effective to eliminate HAT in African community but too costly. Furthermore, the cost-effectiveness of the control measures (education campaign, treatment and insecticides) were determined using incremental cost-effectiveness ratio (ICER) approach and the results show that, the use of education and treatment of infected people as the best cost effective strategy compared to other strategies.

• Genomics & Informatics
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• v.21 no.1
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• pp.15.1-15.4
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• 2023

Bioinformatics education can be defined as the teaching and learning of how to use software tools, along with mathematical and statistical analysis, to solve biological problems. Although many resources are available, most students still struggle to understand even the simplest sequence alignment algorithms. Applying visualizations to these topics benefits both lecturers and students. Unfortunately, educational software for visualizing step-by-step processes in the user experience of sequence alignment algorithms is rare. In this article, an educational visualization tool for biological sequence alignment is presented, and the source code is released in order to encourage the collaborative power of open-source software, with the expectation of further contributions from the community in the future. Two different modules are integrated to enable a student to investigate the characteristics of alignment algorithms.

• The Journal of Korean Society for School & Community Health Education
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• v.20 no.1
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• pp.1-14
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• 2019

Objectives: There are few studies which reflects of each generation's own features, of the New Middle Age and the Elderly's hearing status and their quality of life even though the population of old age has been weighted as baby boom generation's entering into old age. This study is to identify the effects of the new middle age and the elderly's hearing status on their quality of life and to prepare the customized health policies for their health promotion and quality of life improvement as well as the base line data for hearing enhancement programs. Methods: This study was analyzed using the data of the 7th term of the National Health and Nutrition Survey of the Disease Management headquarters. Out of 8,150 adults over the age of 50 who participated in the hearing test, 3,306 were selected and analyzed. Results: At the result of identifying the correlation of hearing status and the quality of life between the New Middle Age and the Elderly, it was confirmed that hearing loss affects low quality of life. The average of quality of life between the New Middle Age and the Elderly was 0.95 and 0.85 each, resulting in higher quality of life in New Middle Age than in the Elderly. The factors affecting the quality of life of the New Middle Age were the level of the education, household income, the type of health insurance, subjective health status. The factors affecting the quality of life of the Elderly were gender, the type of health insurance, subjective health status. Conclusion: Hearing loss of the New Middle Age and the Elderly affects their low quality of life. Therefore the development and the provision of policy program is needed, so as to maintain and manage hearing through age-specific health education. It is expected that the second half of the New Middle Age's life will be much happier, if not taking the treatment-oriented approach of hearing loss only but strengthening the education needed for the maintenance and the management of healthy hearing at their work place, where 50 and 60 generations' workforce has been increased.

• Genomics & Informatics
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• v.18 no.3
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• pp.33.1-33.7
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• 2020

This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.

• The Korean Journal of Community Living Science
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• v.17 no.3
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• pp.175-182
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• 2006

Today, consumers need more information of well-being related food with an increase of interests in health. Thus it is important to understand and provide well-being food related information to consumers. This study was performed to investigate consumer needs for well-being food related information. The needs scores (5-point Likert scale) to well-being food related information were high over all. The highest score was observed in 'disease care and diet therapy' (4.05 point). 'Functionality of well-being food' and 'safety and hazard of food' were followed having high scores (individually 4.00, 3.99 point). Female subjects had higher information needs than male subjects for well-being food related information such as 'balance of diet', 'nutrients' and 'recipe of well-being food'. The needs for well-being food related information increased by age, although subjects who were over 50 had a decrease in information needs. There was a significant positive correlation between the majority of well-being food related information and educational level. Information needs were not significantly different by income. Conclusively, well-being food related information should be provided to consumers according to the individual needs and ultimately consumers will improve their efficiency and satisfaction in using well-being food related information.

• Journal of Korean Clinical Nursing Research
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• v.19 no.3
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• pp.345-356
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• 2013

Purpose: To provide clear estimates of the adoption and use of electronic nursing records (ENRs) with standard terminology in Korea and identification of the scope and use as well as perceived or potential benefits of ENRs. Methods: A survey was done of 733 hospitals at three levels: tertiary advanced hospitals, general hospitals, and community hospitals. After performing a literature review a modified version of an existing survey tool was used for 2 months in 2012. The collected information related to EHR functionality and coverage of nursing documentation and nursing process, application of standard terminology, and perceived satisfaction and benefits of ENRs. Results: The response rate was 39.4% (289/733), and 202 hospitals (70.1%, 95% CI64.8~75.5%) of the respondents had ENR systems (82.5% of tertiary hospitals, 66.7% of general hospitals, and 70.1% of community hospitals). Out of these hospitals less than 10% had ENRs fully covering nursing documentation. The adoption rate of standard terminology was 55%, and hospital satisfaction with ENRs was 70%. But personalized care was identified as needing improvement in ENRs. Conclusion: The ENR adoption rate was high but there are many potential opportunities for improving ENR systems in terms of the data standardization and personalized care.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1800-1808
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• 2022

During the election period, many polling agencies survey and distribute the approval ratings for each candidate. In the past, public opinion was expressed through the Internet, mobile SNS, or community, although in the past, people had no choice but to survey the approval rating by relying on opinion polls. Therefore, if the public opinion expressed on the Internet is understood through natural language analysis, it is possible to determine the candidate's approval rate as accurately as the result of the opinion poll. Therefore, this paper proposes a method of inferring the approval rate of candidates during the election period by synthesizing the political comments of users through internet community posting data. In order to analyze the approval rate in the post, I would like to suggest a method for generating the model that has the highest correlation with the actual opinion poll by using the KoBert, KcBert, and KoELECTRA models.

• Genomics & Informatics
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• v.21 no.3
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• pp.40.1-40.11
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• 2023

Microbial community profiling using 16S rRNA amplicon sequencing allows for taxonomic characterization of diverse microorganisms. While amplicon sequence variant (ASV) methods are increasingly favored for their fine-grained resolution of sequence variants, they often discard substantial portions of sequencing reads during quality control, particularly in datasets with large number samples. We present a streamlined pipeline that integrates FastP for read trimming, HmmUFOtu for operational taxonomic units (OTU) clustering, Vsearch for chimera checking, and Kraken2 for taxonomic assignment. To assess the pipeline's performance, we reprocessed two published stool datasets of normal Korean populations: one with 890 and the other with 1,462 independent samples. In the first dataset, HmmUFOtu retained 93.2% of over 104 million read pairs after quality trimming, discarding chimeric or unclassifiable reads, while DADA2, a commonly used ASV method, retained only 44.6% of the reads. Nonetheless, both methods yielded qualitatively similar β-diversity plots. For the second dataset, HmmUFOtu retained 89.2% of read pairs, while DADA2 retained a mere 18.4% of the reads. HmmUFOtu, being a closed-reference clustering method, facilitates merging separately processed datasets, with shared OTUs between the two datasets exhibiting a correlation coefficient of 0.92 in total abundance (log scale). While the first two dimensions of the β-diversity plot exhibited a cohesive mixture of the two datasets, the third dimension revealed the presence of a batch effect. Our comparative evaluation of ASV and OTU methods within this streamlined pipeline provides valuable insights into their performance when processing large-scale microbial 16S rRNA amplicon sequencing data. The strengths of HmmUFOtu and its potential for dataset merging are highlighted.