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Search Results: 1 - 10 of 6155 matches for " Woo-Sung Son "
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Structural studies on the antimicrobial peptide Brevinin 1E by spectroscopic methods
Woo-Sung Son,Ji-Sun Kim,Hyung-Eun Kim,Sang-Ho Park,Bong-Jin Lee
Spectroscopy: An International Journal , 2003, DOI: 10.1155/2003/650369
Abstract: Skin extracts of frogs are a rich source of pharmacologically active peptides such as caeruleins, tachykinins, bradykinins, thyrotropin-releasing hormone, bombesin-like and opioid peptides. A large variety of antimicrobial peptides has been isolated from Rana species. These peptides, grouped in several families on the basis of differing length and distinct activity, were found to have one structural motif in common: an intramolecular disulfide bridge located at the C-terminal end, forming a seven-member ring, which was designated ‘Rana box’. Brevinin 1E is a 24-residue antimicrobial peptide isolated from the skin of a frog, Rana brevipoda. This peptide shows a broad range of antimicrobial activity against prokaryotic cells but shows very much hemolytic activity against human red blood cells. The solution structure of Brevinin 1E was studied by using CD (circular dichroism) and NMR (nuclear magnetic resonance) spectroscopy. CD investigation revealed that Brevinin 1E adopts random structure in aqueous solution but adopts mainly α-helical structure in TFE/water (6?: 4, v/v) solution. The three-dimensional structure of Brevinin 1E was determined in 60% TFE/water solution using homonuclear NMR spectroscopy. This peptide showed mainly an α-helical structure with amphipathic property. Its three-dimensional structure is similar to those of other peptides such as magainin, nigrocin and ranalexin. Therefore, Brevinin 1E can be classified into the family of antimicrobial peptides containing a single linear α-helix that interact with target microbial membrane, leading to cell death through disruption of membrane integrity.
Accuracy Test for Link Prediction in terms of Similarity Index: The Case of WS and BA Models
Min-Woo Ahn,Woo-Sung Jung
Computer Science , 2015, DOI: 10.1016/j.physa.2015.01.083
Abstract: Link prediction is a technique that uses the topological information in a given network to infer the missing links in it. Since past research on link prediction has primarily focused on enhancing performance for given empirical systems, negligible attention has been devoted to link prediction with regard to network models. In this paper, we thus apply link prediction to two network models: The Watts-Strogatz (WS) model and Barab\'asi-Albert (BA) model. We attempt to gain a better understanding of the relation between accuracy and each network parameter (mean degree, the number of nodes and the rewiring probability in the WS model) through network models. Six similarity indices are used, with precision and area under the ROC curve (AUC) value as the accuracy metrics. We observe a positive correlation between mean degree and accuracy, and size independence of the AUC value.
Incorporation of silver (I) ions within zeolite cavities and their photocatalytic reactivity for the decomposition of into and
Woo-Sung Ju,Masaya Matsuoka,Masakazu Anpo
International Journal of Photoenergy , 2003, DOI: 10.1155/s1110662x03000060
Abstract: Ag
Extracardiac Fontan with T-shape conduit in non-confluent pulmonary arteries
Jae Kwak, Jeong Lee, Woo-Sung Jang, Eun Bae
Journal of Cardiothoracic Surgery , 2008, DOI: 10.1186/1749-8090-3-7
Abstract: Intrapericardial pulmonary artery creation is inevitable at neonatal period because patient had no confluent pulmonary artery and compliance of pulmonary vascular bed is not ready to accept pulmonary boold flow. Furthermore, adequate inflow pulmonary bed preparation for systemic venous return is crucial for definitive Fontan repair. In this situation, we thought multi-step approach would be helpful for the pulmonary bed growth.A 4 week-old male diagnosed with {S, X, D} type double inlet right ventricle, small left side atrioventricular valve, intact atrial septum, and non-confluent pulmonary arteries with diminutive hilar pulmonary arteries (2.7 and 3 mm diameter) supplied by bilateral patent ductuses was admitted to our unit. Because disconnected pulmonary arterial portion was too long and pulmonary artery hilar portion was too tiny to do unifocalization, we performed central pulmonary artery interposition between both pulmonary arterial hilar portion with 6 mm polytetrafluoroethylene(PTFE) vascular graft and left modified Blalock-Taussig shunt with 4 mm PTFE graft and ductus division under median full sternotomy. Postoperative arterial saturation was 85%.At 9 months, echocardiography and cardiac catheterizing showed that previous left modified BT shunt was stenotic at the anastomosis site with artificial confluent pulmonary artery (PTFE 6 mm vascular graft), and left pulmonary artery orifice was totally occluded, it's distal part was filled by collateral vessels. Both pulmonary arteries were relatively small to his weight and age. We changed 6 mm central pulmonary artery conduit wiht upsized 8 mm PTFE graft and right bidirectional cavopulmonary connection and atrial septectomy was performed concomitantly. During the interstage period after above 2 staged palliative operations, we used coumadin for anticoagulation, tried to maintain INR level between 1.5 and 2.0. At 32 months (14 kg), second cardiac catheterization revealed pressure gradient of 11 mmHg at anastomos
On the distribution of career longevity and the evolution of home run prowess in professional baseball
Alexander Petersen,Woo-Sung Jung,H. Eugene Stanley
Physics , 2008, DOI: 10.1209/0295-5075/83/50010
Abstract: Statistical analysis is a major aspect of baseball, from player averages to historical benchmarks and records. Much of baseball fanfare is based around players exceeding the norm, some in a single game and others over a long career. Career statistics serve as a metric for classifying players and establishing their historical legacy. However, the concept of records and benchmarks assumes that the level of competition in baseball is stationary in time. Here we show that power-law probability density functions, a hallmark of many complex systems that are driven by competition, govern career longevity in baseball. We also find similar power laws in the density functions of all major performance metrics for pitchers and batters. The use of performance-enhancing drugs has a dark history, emerging as a problem for both amateur and professional sports. We find statistical evidence consistent with performance-enhancing drugs in the analysis of home runs hit by players in the last 25 years. This is corroborated by the findings of the Mitchell Report [1], a two-year investigation into the use of illegal steroids in major league baseball, which recently revealed that over 5 percent of major league baseball players tested positive for performance-enhancing drugs in an anonymous 2003 survey.
Gravity model in the Korean highway
Woo-Sung Jung,Fengzhong Wang,H. Eugene Stanley
Physics , 2007, DOI: 10.1209/0295-5075/81/48005
Abstract: We investigate the traffic flows of the Korean highway system, which contains both public and private transportation information. We find that the traffic flow T(ij) between city i and j forms a gravity model, the metaphor of physical gravity as described in Newton's law of gravity, P(i)P(j)/r(ij)^2, where P(i) represents the population of city i and r(ij) the distance between cities i and j. It is also shown that the highway network has a heavy tail even though the road network is a rather uniform and homogeneous one. Compared to the highway network, air and public ground transportation establish inhomogeneous systems and have power-law behaviors.
Statistical properties of information flow in financial time series
Cheoljun Eom,Okyu Kwon,Woo-Sung Jung
Physics , 2008,
Abstract: This paper has been withdrawn by the authors.
Effect of changing data size on eigenvalues in the Korean and Japanese stock markets
Cheoljun Eom,Woo-Sung Jung,Taisei Kaizoji,Seunghwan Kim
Physics , 2008, DOI: 10.1016/j.physa.2009.07.023
Abstract: In this study, we attempted to determine how eigenvalues change, according to random matrix theory (RMT), in stock market data as the number of stocks comprising the correlation matrix changes. Specifically, we tested for changes in the eigenvalue properties as a function of the number and type of stocks in the correlation matrix. We determined that the value of the eigenvalue increases in proportion with the number of stocks. Furthermore, we noted that the largest eigenvalue maintains its identical properties, regardless of the number and type, whereas other eigenvalues evidence different features.
Relationship between degree of efficiency and prediction in stock price changes
Cheoljun Eom,Gabjin Oh,Woo-Sung Jung
Quantitative Finance , 2007, DOI: 10.1016/j.physa.2008.05.059
Abstract: This study investigates empirically whether the degree of stock market efficiency is related to the prediction power of future price change using the indices of twenty seven stock markets. Efficiency refers to weak-form efficient market hypothesis (EMH) in terms of the information of past price changes. The prediction power corresponds to the hit-rate, which is the rate of the consistency between the direction of actual price change and that of predicted one, calculated by the nearest neighbor prediction method (NN method) using the out-of-sample. In this manuscript, the Hurst exponent and the approximate entropy (ApEn) are used as the quantitative measurements of the degree of efficiency. The relationship between the Hurst exponent, reflecting the various time correlation property, and the ApEn value, reflecting the randomness in the time series, shows negative correlation. However, the average prediction power on the direction of future price change has the strongly positive correlation with the Hurst exponent, and the negative correlation with the ApEn. Therefore, the market index with less market efficiency has higher prediction power for future price change than one with higher market efficiency when we analyze the market using the past price change pattern. Furthermore, we show that the Hurst exponent, a measurement of the long-term memory property, provides more significant information in terms of prediction of future price changes than the ApEn and the NN method.
Hurst exponent and prediction based on weak-form efficient market hypothesis of stock markets
Cheoljun Eom,Sunghoon Choi,Gabjin Oh,Woo-Sung Jung
Quantitative Finance , 2007, DOI: 10.1016/j.physa.2008.03.035
Abstract: We empirically investigated the relationships between the degree of efficiency and the predictability in financial time-series data. The Hurst exponent was used as the measurement of the degree of efficiency, and the hit rate calculated from the nearest-neighbor prediction method was used for the prediction of the directions of future price changes. We used 60 market indexes of various countries. We empirically discovered that the relationship between the degree of efficiency (the Hurst exponent) and the predictability (the hit rate) is strongly positive. That is, a market index with a higher Hurst exponent tends to have a higher hit rate. These results suggested that the Hurst exponent is useful for predicting future price changes. Furthermore, we also discovered that the Hurst exponent and the hit rate are useful as standards that can distinguish emerging capital markets from mature capital markets.
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