• Journal of Microbiology
• /
• v.45 no.5
• /
• pp.441-446
• /
• 2007

HIV-1 coreceptor usage and phenotype mainly determined by V3 loop are associated with the disease progression of AIDS. Predicting HIV-1 coreceptor usage and phenotype facilitates the monitoring of R5-to-X4 switch and treatment decision-making. In this study, we employed random forest to predict HIV-1 biological phenotype, based on 37 random features of V3 loop. In comparison with PSSM method, our RF predictor obtained higher prediction accuracy (95.1% for coreceptor usage and 92.1% for phenotype), especially for non-B non-C HIV-l subtypes (96.6% for coreceptor usage and 95.3% for phenotype). The net charge, polarity of V3 loop and five V3 sites are seven most important features for predicting HIV-1 coreceptor usage or phenotype. Among these features, V3 polarity and four V3 sites (22, 12, 18 and 13) are first reported to have high contribution to HIV-1 biological phenotype prediction.

• The Journal of the Korea Contents Association
• /
• v.10 no.1
• /
• pp.372-380
• /
• 2010

In this study, we consider a mid-and-long term technological forecasting method based on simulation technique. We, first, gather information about a point of appearance time of new technologies which will be developed in the future and influence relationship among those technologies by Delphi survey. And then we propose a simulation-based heuristic approach searching for the key technology among new technologies which will be developed to attain a normative objective using the Delphi data. We also provide the range of occurrence time for individual technology and define key technologies in this study in contrast that a expert's estimate to occurrence time is only one point in traditional Delphi survey. The information for key technologies which are detected by this procedure gives priorities of R&D planning and aids the R&D planner or project manager in resource allocation.

• Journal of Biomedical Engineering Research
• /
• v.13 no.3
• /
• pp.181-188
• /
• 1992

This paper provides an overview of system analysis of immunology. The theoretical research in this area is aimed at an understanding of the precise manner by which the immune system controls Infec pious diseases, cancer, and AIDS. This can provide a systematic plan for immunological experimentation by means of an integrated program of immune system analysis, mathematical modeling and computer simulation. Biochemical reactions and cellular fission are naturally modeled as nonlinear dynamical processes to synthesize the human immune system! as well as the complete organism it is intended to protect. A foundation for the control of tumors is presented, based upon the formulation of a realistic, knowledge based mathematical model of the interaction between tumor cells and the immune system. Ordinary bilinear differential equations which are coupled by such nonlinear term as saturation are derived from the basic physical phenomena of cellular and molecular conservation. The parametric control variables relevant to the latest experimental data are also considered. The model consists of 12 states, each composed of first-order, nonlinear differential equations based on cellular kinetics and each of which can be modeled bilinearly. Finally, tumor control as an application of immunotherapy is analyzed from the basis established.

• Journal of Ginseng Research
• /
• v.34 no.3
• /
• pp.219-226
• /
• 2010

In the present study, we investigated whether a gross deletion in the nef gene ($g{\Delta}nef$) is induced by Korean red ginseng (KRG) intake. Ten patients were treated with KRG powder for 3 years in the absence of antiretroviral drug therapy. On average, $3,555{\pm}1,042\;g$ KRG was administered per person over $36.1{\pm}2.4$ months. There was a mild decrease in CD4 T cell count ($75{\pm}110/{\mu}L$) over the $36.1{\pm}2.4$ months (p = 0.059). We obtained 355 nef amplicons using 71 peripheral blood mononuclear cell samples over a 3-year period. All ten patients exhibited g${\Delta}$nef (range, 3.2 to 45.9%). At baseline, 3 of 78 amplicons (3.8%) exhibited $g{\Delta}nef$, whereas 18.8% (52/277) revealed $g{\Delta}nef$ during KRG-intake (p<0.001). The proportion of $g{\Delta}nef$ was significantly correlated with monthly dose of KRG (r=0.89, p<0.001). The median time for first detection of $g{\Delta}nef$ was 13 months. In conclusion, our data show that $g{\Delta}nef$ is inducible by KRG intake and its proportion is dependent on the duration of KRG intake and dose of KRG.

• Child Health Nursing Research
• /
• v.10 no.3
• /
• pp.361-366
• /
• 2004

Purpose: This descriptive study was conducted to illuminate, from the nursing point of view, the infant care act, which was revised recently and to suggest a desirable direction of its enforcement decree and regulations. Method: This study was carried out through literature review and a collection of child care experts' opinions. Result: The most remarkable changes in infant care act and the suggestions for a desirable direction of its enforcement decree and regulations are as follows: It can be said that the law on 'health', 'nutrition' and 'safety' for a child care center was improved to the level of act from the level of enforcement regulation. In the enforcement regulation on the distribution of nurses in child care centers, it is desirable that nurse's aids are excluded. It is recommended that every child care center should have a nurse or a health care manager and/or an emergency caretaker. In the curriculum for child care, the subjects on child health care should be an essential subject, not elective. Conclusion: Child care act should be reformed under the discipline of first priority to child health. Every nurse and nursing professor should have interest and earnestness in child care and conduct related studies.

• Education of Primary School Mathematics
• /
• v.9 no.2 s.18
• /
• pp.119-134
• /
• 2005

The goals of this study is to analyze develop the materials which help students develop spatial sense in elementary school and to investigate its effects. To accomplish those goals, the 7th National Curriculum was analyzed to identify the contents of spatial sense. After analyzing the 7th National Curriculum, the principle for developing the teaching aids focusing the realization of the contents in the spatial sense was set up. And then various teaching materials which can enhance students' spatial sense was developed. It is consist of 17 kinds of concretely operating materials, 7 kinds of tangram papers, one web-material. To verify the effect of the materials, surveyed the usability of the materials and two classes was selected and tests were administered before and after the treatment. Through this application, several conclusion were drawn. First, a survey result says that teachers thought materials developed would be effective in developing spatial sense. Second, the materials developed were effective to develop spatial sense. The score gained by the experiment group after the treatment was statistically meaningfully higher than the control group. This means that the materials developed helped children to develop spatial sense.

• Journal of the Korean Institute of Rural Architecture
• /
• v.17 no.3
• /
• pp.45-54
• /
• 2015

This paper aims to find out the effective solutions for overcoming the crisis of school closure in rural villages. Fortunately, we have some relevant cases that show the important roles of local communities providing rental houses to the potential residents. This study researches eight cases of elementary schools and their communities in Jeju which have overcome the crisis by providing rental houses to the immigrants. The results are as follows. First, it is effective to provide rental houses to prevent school closure crisis. Second, it is highly recommended to consider advancing schools for students and to offer possible jobs for their parents in order to make sustainable schools and communities. Third, in addition to the treatments for overcoming crisis of school closure, comprehensive measurements for improving new residents' quality of lives along with the collaboration between schools and communities, relations between natives and immigrants, and financial aids from central and local government should be implemented.

• Journal of the Korean Society for Precision Engineering
• /
• v.15 no.11
• /
• pp.46-57
• /
• 1998

Even though there are some studies on the deep drawing process and process planning, little study has been done on the methodology of process planning of secondary operations of deep drawing such as 'piercins'. In this paper, first, we systematized the methodology of the process planning of secondary operations on axisymmetric cup. Second we described the development of the expert system for their CAPP For these studies, we extracted the knowledge of their process planning from experts and analysed and systemized them. To develop the expert system, rule-based reasoning paradigm is used. The shape information of manufacturing features of secondary operations are manually input to the system through SUI. The process planning results are automatically connected to AutoCAD. We believe that the systematized process knowledge and the development of the expert system for its CAPP could give lots of aids to the associated field.

• International Journal of Computer Science & Network Security
• /
• v.21 no.8
• /
• pp.281-287
• /
• 2021

Bioinformatics is formed with a blend of biology and informatics technologies and it employs the statistical methods and approaches for attending the concerning issues in the domains of nutrition, medical research and towards reviewing the living environment. The ceaseless growth of DNA sequencing technologies has resulted in the production of voluminous genomic data especially the DNA sequences thus calling out for increased storage and bandwidth. As of now, the bioinformatics confronts the major hurdle of management, interpretation and accurately preserving of this hefty information. Compression tends to be a beacon of hope towards resolving the aforementioned issues. Keeping the storage efficiently, a methodology has been recommended which for attending the same. In addition, there is introduction of a competent algorithm that aids in exact matching of small pattern. The DNA representation sequence is then implemented subsequently for determining 2 bases to 6 bases matching with the remaining input sequence. This process involves transforming of DNA sequence into an ASCII symbols in the first level and compress by using LZ77 compression method in the second level and after that form the grid variables with size 3 to hold the 100 characters. In the third level of compression, the compressed output is in the grid variables. Hence, the proposed algorithm S_Pattern DNA gives an average better compression ratio of 93% when compared to the existing compression algorithms for the datasets from the UCI repository.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.10
• /
• pp.189-200
• /
• 2022

The gig economy offers many advantages, such as flexibility, variety, independence, and lower cost. However, there are also safety concerns, lack of regulations, uncertainty, and unsatisfactory services, causing people to voice their opinion on social media. This paper aims to explore the sentiments of consumers concerning gig economy services (Grab, Foodpanda and Airbnb) through the analysis of social media. First, Vader Lexicon was used to classify the comments into positive, negative, and neutral sentiments. Then, the comments were further classified into three machine learning algorithms: Support Vector Machine, Light Gradient Boosted Machine, and Logistic Regression. Results suggested that gig economy services in Malaysia received more positive sentiments (52%) than negative sentiments (19%) and neutral sentiments (29%). Based on the three algorithms used in this research, LGBM has been the best model with the highest accuracy of 85%, while SVM has 84% and LR 82%. The results of this study proved the power of text mining and sentiment analysis in extracting business value and providing insight to businesses. Additionally, it aids gig managers and service providers in understanding clients' sentiments about their goods and services and making necessary adjustments to optimize satisfaction.