• Clinical and Experimental Pediatrics
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• v.46 no.4
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• pp.340-344
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• 2003

Purpose : We evaluated allele frequencies and distribution of surfactant protein A2(SP-A2) in Korean neonates in order to estimate the prevalence of RDS, to find out new SP-A alleles, and to establish new steroid therapy. Methods : Genomic DNA was extracted from 71 neonates and served as a template in PCR for genotype analysis. SP-A gene-specific amplications and gene-specific allele determinations were performed using PCR-cRFLP methods. Results : The distribution for the alleles of the SP-A2 gene in the study population was 1A, $1A^0$, $1A^1$, $1A^2$, $1A^3$, $1A^5$, $1A^6$, $1A^7$, $1A^8$, $1A^9$, $1A^{11}$, $1A^{12}$. The specific frequencies for the alleles of the SP-A2 gene in the study population were : 1A=11.3%, $1A^0=38%$, $1A^1=12.7%$, $1A^2=9.2%$, $1A^5=15.5%$, $1A^7=2.9%$, $1A^8=4.9%$, $1A^9=2.2%$, others=3.3%. Conclusion : The frequency of $1A^0$ was higher than the other SP-A2 alleles in Korean neonates. This finding suggests that the prevalence of RDS in Korea may be low compared with other countries. However, this finding also suggests that Korean neonates have a high risk of infection.

• Journal of KIISE:Software and Applications
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• v.33 no.2
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• pp.143-153
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• 2006

Microarray which enables us to obtain hundreds and thousands of expression of gene or genotype at once is an epoch-making technology in comparative analysis of genes. First of all, we have to measure the intensity of each gene in an microarray image from the experiment to gain the expression level of each gene. But it is difficult to analyze the microarray image in manual because it has a lot of genes. Meta-gridding method and various auto-gridding methods have been proposed for this, but thew still have some problems. For example, meta-gridding requires manual-work due to some variations in spite of experiment in same microarray, and auto-gridding nay not carried out fully or correctly when an image has a lot of noises or is lowly expressed. In this article, we propose Hierarchical Grid Alignment algorithm for new methodology combining meta-gridding method with auto-gridding method. In our methodology, we necd a meta-grid as an input, and then align it with the microarray image automatically. Experimental results show that the proposed method serves more robust and reliable gridding result than the previous methods. It is also possible for user to do more reliable batch analysis by using our algorithm.

• Radiation Oncology Journal
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• v.15 no.3
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• pp.187-195
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• 1997

Purpose : To analyze the involvement of apoptosis regulatory genes p53, $p21^{wart/cip1}$ bax and bcl-2 in induction of apoptosis by radiation in murine tumors. Materials and methods : The radiation-sensitive ovarian carcinoma OCa-1, and the radiation-resistant hepatocarcinorna HCa-I were used. Tumors, 8 mm in diameter, were irradiated with 25 Gy and at various times after irradiation, ranging from 1 to 48 h, were analyzed histologically for apoptosis and by western blot for alterations in the expression of these genes. The p53 status of the tumors were determined by the polymerase chain reaction-single strand conformation polymorphism assay. Results : Both tumors were positive for wild-type p53. Radiation inducesd apoptosis in OCa-1 but not in HCa-1. Apoptosis developed rapidly, peaked at 2 h after irradiation and returned to almost the background level at 48 h In OCa-1 radiation upregulated the expression of p53, $p21^{wart/cip1}$. and the bcl-2/bax ratio was decreased. In HCa-1 radiation increased the expression of both p53 and $p21^{wart/cip1}$, although the increase of the latter was small The bcl-2/bax ratio was greatly increased. In general the observed changes occurred within a few hours after irradiation, and either preceded or coincided with development of apoptosis Conclusions : The development of apoptosis required upregulation of both p53 and $p21^{wart/cip1}$ as well as a decrease in bcl-2/bax ratio. In contrast, an increase in bcl-2/bax ratio Prevented apoptosis in the presence of upregulated p53 and $p21^{wart/cip1}$ . These findings indentified the involvement of multiple oncogenes in apoptosis regulation in vivo and demonstrate the complexity that may be associated with the use of a single oncogene assessment for Predicting the outcome of cancer therapy with cytotoxic agents.

• Clinical and Experimental Pediatrics
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• v.45 no.12
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• pp.1497-1502
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• 2002

Purpose : We evaluated allele frequencies and distribution of surfactant protein A1(SP-A1) in Korean neonates in order to estimate prevalence of RDS to find out new SP-A alleles, and to establish new steroid therapy. Methods : Genomic DNA was extracted from 100 neonates and served as a template in PCR for genotype analysis. SP-A gene-specific amplications and gene-specific allele determinations were performed using PCR-RFLP methods. Results : The distribution for the alleles of the SP-A1 gene in the study population were 6A, $6A^2$, $6A^3$, $6A^4$, $6A^8$, $6A^9$, $6A^{10}$, $6A^{11}$, $6A^{12}$, $6A^{13}$, $6A^{14}$, $6A^{15}$, $6A^{16}$, $6A^{17}$, $6A^{18}$, $6A^{20}$. The specific frequencies for the alleles of the SP-A1 gene in the study population were : $6A^2=21%$, $6A^3=45%$, $6A^4=11%$, $6A^8=9%$, $6A^{14}=8%$. Conclusion : The frequency of $6A^3$ was higher than the other SP-A1 alleles in Korean neonates. This finding suggests that the prevalence of RDS in Korea may be low compared with other countries. However, this finding also suggests that Korean neonates have a high risk of infection.

• Tuberculosis and Respiratory Diseases
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• v.50 no.1
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• pp.94-105
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• 2001

Background : Examining the biological susceptibility of Mycobacterium tuberculosis to pyrazinamide (PZA) in vitro is very difficult as PZA is inactive under normal culture conditions. The biological susceptibility test, an enzyme assay for Pzase activity, and a genetic test for pncA gene mutations, were performed in order to predict PZA resistance. Methods : 28 cultured clinical isolates of Mycobacterium tuberculosis were tested. The biological susceptibility was performed by the absolute concentration method using Lowenstein-Jensen media. The PZase activity was tested by means of Wayne's method. A 710-bp region includes the entire open reading frame of pncA was amplified and sequenced. Results : All six strains with positive PZase activity exhibited no pncA mutations with one strain showing a false resistance in the biological susceptibility test. Among the 22 strains with no PZase activity, 21 exhibited showed pncA mutations. In the biological susceptibility test, 20 strains were resistant, and one was susceptible, and the other flied to test. The mutation types varied with ten missense, one silent and one nonsense mutation 1 slipped-strand mispairing, and 6 frameshift mutations. Three strains had an adenine to guanine mutation at position -11 upstream of the start codon. Conclusion : The mutation at the pncA promotor region is frequent at -11 upstream position. Automatic sequencing of pncA is a useful tool for rapid and accurate detection of PZA resistant M. tuberculosis, and for demonstrating the epidemiological relatedness of the PZA resistant M. tuberculosis strains.

• Journal of Life Science
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• v.28 no.12
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• pp.1406-1415
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• 2018

Based on the antioxidative effects in organic solvent fractions obtained from the main methanolic extract of Houttuynia cordata Thunb, the cytoprotective effects by oxidative-stress were here analyzed. Regarding the antioxidant activity of organic solvent fractions, the electron-donating ability of DPPH increased in a dose-dependent manner, and $ED_{50}$ exhibited the highest concentration at $175{\mu}g/ml$ in the Hc-EtOAc fraction. The cell viability of Hc-EtOAc fractions on $H_2O_2$-induced HaCaT cell death ($IC_{50}$) increased in a concentration-dependent manner and a visible cell survival rate of 74% was observed at a concentration of $100{\mu}g/ml$. Meanwhile, the gene expression patterns in HaCaT cells treated with $100{\mu}g/ml$ of the Hc-EtOAc fraction for 6 and 24 hr were identified with microarray analysis. The genes involved in signal transduction, cell division, antioxidant activity, and epithelial cell proliferation were found to be 2-fold up-regulated genes in HaCaT cells following the Hc-EtOAc fraction treatment. Especially, proinflammatory cytokines (IL1B, TNF, and IL6) were identified as involved in antioxidant activity based on the expression patterns of the HaCaT cells, and pathway analysis indicated that TLR4 might be considered an upstream regulator of these genes. In order to verify the activity of IL1B, TNF, and IL6, qRT-PCR showed that the expression increased more than 2 times in HaCaT cells treated with at least $100{\mu}g/ml$ of the Hc-EtOAc fraction. The activity of the upstream regulator TLR4 protein was also increased by the Hc-EtOAc fraction. As a result, the antioxidative activity of the Hc-EtOAc fraction is predicted to pass from TLR4 through cytokines such as IL1B, TNF, and IL6.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.63-83
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• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.365-373
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• 1999

Recently, numerous studies have demonstrated that artificial intelligence such as neural networks can be an alternative methodology for classification problems to which traditional statistical methods have long been applied. In building neural network model, the selection of independent and dependent variables should be approached with great care and should be treated as a model construction process. Irrespective of the efficiency of a learning procedure in terms of convergence, generalization and stability, the ultimate performance of the estimator will depend on the relevance of the selected input variables and the quality of the data used. Approaches developed in statistical methods such as correlation analysis and stepwise selection method are often very useful. These methods, however, may not be the optimal ones for the development of neural network models. In this paper, we propose a genetic algorithms approach to find an optimal or near optimal input variables for neural network modeling. The proposed approach is demonstrated by applications to bankruptcy prediction modeling. Our experimental results show that this approach increases overall classification accuracy rate significantly.

• KSBB Journal
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• v.26 no.3
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• pp.237-242
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• 2011

As a number of archaea are ubiquitously found in non-extreme habitats, elucidation of their functional roles becomes currently an emerging issue. However, most of them are unable to grow in pure culture and so it remains to be established. In order to find genes lacking in the genome of an ammonia-oxidizing archaeon (AOA), we here report on the comparative analyses of an AOA genome with those of experimentally or theoretically established minimal genomes for independent growth. We assessed the genes lacking in AOA using logic of clusters of orthologous groups (COG), remote homology, consensus sequence weight matrix, function-based motif or domain, and then further excluded genes encoding hypothetical orarchaea-specific proteins. The results of these combination analyses revealed 19 candidate genes lacking in the genome of an AOA. Thus, our results provide a possibility of inducing independent growth of AOA when supplemented with product (s) of the lacking gene (s), and also give a chance for finding new proteins with novel sequence or structure space even if the predicted lacking-genes will be found using another algorithms or biochemical studies.

• Korean Journal of Microbiology
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• v.27 no.3
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• pp.194-200
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• 1989

The nucleotide sequence of inducible chloramphenicol acetyl-transferase(CAT) gene isolated from a small plasmid pSBK203 of Staphylococcus aureus was determined. The base sequence shows that structural gene of pSBK203-CAT encodes a protein of 213 amino acids and has a leader region which encodes a short polypeptide of 9 amino-acids in its upstream. vertical bar /sup 35/S vertical bar-Methionine labelled CAT gene product in minicell showed almost same mobility with pC194-CAT of which molecular weight is 24Kdal on polyacrylamide gel electrophoresis. Predicted amino acid sequence of pSBK203-CAT has revealed a high degree of homology with the CATs of pC194 and pC221 than those of cat-86, Tn9 and proteus mirabilis PM13.