• Journal of Nutrition and Health
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• v.32 no.7
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• pp.781-786
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• 1999

This study was designed to investigate the effects of vitamin E supplementation on radical scavenger activity and immune responses in female judo athletes(n=18). The age and sex matched sedentary students were used as controls(n=15). The initial plasma vitamin E concentration, lipid peroxide level and radical scavenger activity (RSA) were not different between two groups. The supplementation of $\alpha$-tocopheryl acetate(400IU/d) for 4 weeks significantly increased plasma vitamin E concentration of the subjects in both groups. In addition, the decrease in thiobarbituric acid reactive substance(TBARS)(p<0.05) and enhancement of RSA(p<0.05) were observed in both groups. Percentages of total T-cells in the athletic group was lower than that in the control group(p<0.05). However, the ratio of CD4 / CD8(helper T-cal $l^pressor T-cell) was higher in the sports group, due to more decrease in CD8 subset than in CD4 subset. The concentrations of IgG and IgM in the sports group were significantly lower than those in the control group(p<0.05). Therefore, severe training of the athletic group seems to be associated with the changes of supplementation. In conclusion, vitamin E supplementation (400IU/d, 4 weeks) of the female university students improved antioxidative activities of the blood, by decreasing lipid peroxide and enhancing radical scavenger activity. Percentages of T lymphocytes and IgG and IgM concentrations in the athletic group were lower than those in the control group. Meanwhile, vitamin E supplementation had no effects on immune status in both groups.ps.

• The KIPS Transactions:PartD
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• v.16D no.3
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• pp.327-338
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• 2009

A microarray dataset is 2-dimensional dataset with a set of genes and a set of conditions. A bicluster is a subset of genes that show similar behavior within a subset of conditions. Genes that show similar behavior can be considered to have same cellular functions. Thus, biclustering algorithm is a useful tool to uncover groups of genes involved in the same cellular process and groups of conditions which take place in this process. We are proposing a polynomial time algorithm to identify functionally highly correlated biclusters. Our algorithm identifies 1) the gene set that has hidden patterns even if the level of noise is high, 2) the multiple, possibly overlapped, and diverse gene sets, 3) gene sets whose functional association is strongly high, and 4) deterministic biclustering results. We validated the level of functional association of our method, and compared with current methods using GO.

• Structural Engineering and Mechanics
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• v.85 no.3
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• pp.381-391
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• 2023

The seismic performance of the tall building equipped with a tuned mass damper (TMD) considering soil-structure interaction (SSI) effects is well studied in the literature. However, these studies are performed on the nominal model of the seismic-excited structural system with SSI. Hence, the outcomes of the studies may not valid for the actual structural system. To address the study gap, the reliability theory as a useful and powerful method is utilized in the paper. The present study aims to carry out reliability analyses on tall buildings equipped with TMD under near-field pulse-like (NFPL) ground motions considering SSI effects using a subset simulation (SS) method. In the presence of uncertainties of the structural model, TMD device, foundation, soil, and near-field pulse-like ground motions, the numerical studies are performed on a benchmark 40-story building and the failure probabilities of the structures with and without TMD are evaluated. Three types of soils (dense, medium, and soft soils), different earthquake magnitudes (M_w = 7,0. 7,25. 7,5 ), different nearest fault distances (r = 5. 10 and 15 km), and three seismic performance levels of immediate occupancy (IO), life safety (LS), and collapse prevention (CP) are considered in this study. The results show that tall buildings built near faults and on soft soils are more affected by uncertainties of the structural and ground motion models. Hence, ignoring these uncertainties may result in an inaccurate estimation of the maximum seismic responses. Also, it is found the TMD is not able to reduce the failure probabilities of the structure in the IO seismic performance level, especially for high earthquake magnitudes and structures built near the fault. However, TMD is significantly effective in the reduction of failure probability for the LS and CP performance levels. For weak earthquakes and long fault distances, the failure probabilities of both structures with and without TMD are near zero, and the efficiency of the TMD in the reduction of failure probabilities is reduced by increasing earthquake magnitudes and the reduction of fault distance. As soil softness increases, the failure probability of structures both with and without TMD often increases, especially for severe near-fault earthquake motion.

• International Journal of Oral Biology
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• v.34 no.2
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• pp.49-52
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• 2009

Perception of sweet compounds is important for animals to detect external carbohydrate source of calories and plays a crucial role in feeding behavior of animals. Recent progress in molecular genetic studies provides evidence for a candidate receptor (heterodimers with taste receptor type 1 member 2 and 3: T1R2/T1R3), and major downstream transduction molecules required for sweet taste signaling. Several studies demonstrated that the sweet taste signal can be modulated by a satiety hormone, leptin, through its receptors expressed in a subset of sweet-sensitive taste cells. Increase of internal energy storage in the adipose tissue leads to increase in the plasma leptin level which can reduce activities of sweet-sensitive cells. In human, thus, diurnal variation of plasma leptin level parallels variation of taste recognition thresholds for sweet compounds. This leptin modulation of sweet taste sensitivity may influence individuals' preference, ingestive behavior, and absorption of nutrients, thereby plays important roles in regulation of energy homeostasis.

• Asia Marketing Journal
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• v.22 no.2
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• pp.1-18
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• 2020

We estimate a choice-based aggregate demand model accounting for consumers' consideration sets, and study its implications on market structure. In contrast to past research, we model and estimate consumer demand using aggregate-level consumer browsing data in addition to aggregate-level choice data. The use of consumer browsing data allows us to study consumer demand in a realistic setting in which consumers choose from a subset of products. We calibrate the proposed model on both data sets, avoid biases in parameter estimates, and compute the price elasticity measures. As an empirical application, we estimate consumer demand in the camcorder category and study its implications on market structure. The proposed model predicts a limited consumer price response and offers a more discriminating competitive landscape from the one assuming universal consideration set.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.87-98
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• 2009

This paper discuss secure information flow analysis and its visualization. Information leak is defined as existence of information flow from variables which have user's private informations to variables that anyone can access. Secure information flow analysis has been made to decide of whether the information leak is or not. There are many researches for secure information flow analysis concerning high level programming languages. But actually, programs that user executes don't have program source code represented in high level programming language. Thus there is need for analysis of program represented in low level language. More to analysis, visualization of analysis is very important. So, this paper discuss visualization of secure information flow analysis. In this paper, Mini x86 Assembly Language which is subset of x86 assembly language is defined and secure information flow analysis of program is proposed. In addition, this paper defines transfer function that is used for analysis and shows how to visualize control flow graph.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.6
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• pp.2833-2836
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• 2012

Aim: Gastric cancer is the third most frequent cause of cancer mortality worldwide. In Iran, it is one of the leading causes at the national level. Localized at chromosome 8q22, the human MTDH gene has been reported to be over-expressed in a spectrum of malignancies. However, since there is a lack of data concerning with expression in gastric cancer at the transcriptional level, in this study we evaluated MTDH expression in Iranian cases. Methods: Totally, thirty paired gastric samples were examined by quantitative real-time RT-PCR. Results: Although the mRNA expression was significantly elevated in 46.6% of the examined tumor tissues; its expression was low in others (36.6%). Moreover, there was only a marginal statistical difference between the MTDH gene expression of all tumor specimens compared to their paired non-tumor ones and no statistically significant association with the grades and types of the tumors. Conclusion: Taken together, our results demonstrated that expression of MTDH at the transcriptional level may be increased in gastric cancer tissue samples but with considerable heterogeneity. Due to this, it may have the potential to be used as a target for diagnostic/therapeutic purposes only in a subset of patients.

• Journal of Oriental Neuropsychiatry
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• v.6 no.1
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• pp.1-17
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• 1995

In order to investigate the Anti-stress effect of Guibiondamtang in the immobilization stressed rats, the level of serum catecholamine, the change of body weight, the humoral and cellular immune response were studied. The results were as follows; 1. The decrese of the body weight was significantly inhibited in test group for Guibiondamtang, comparting to the control group. 2. The increase of the level of serum norepinephrine was significantly inhibited in test group, comparing to the control group. 3. The increase of the level of serum epinephrine was significantly inhibited in test group, comparing to the control group. 4. In the hemagglutinaton titer, the control group was decreased on the serum antibody titer but test group was inhibitory effect on the decrease of sereum antibody titer. 5. In the plaque formation test, the control and test group were not shown significant differences. 6. In the foot pad swelling respopnse, the control group was decreased on DTH response but test group was increased comparing to the normal group. 7. There was no change on the distribution of lymphocyte subset(CD4, CD8), grnulocyte and macrophage analyzed by flow cytometry.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.9A
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• pp.788-794
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• 2005

In this paper, we focus on the potential of dual polarized antennas in mobile system. thus, this paper designs exact dual polarized channel with Spatial Channel Model (SCM) and investigates the performance for certain environment. Using proposed the channel model; we know estimates of the channel capacity as a function of cross polarization discrimination (XPD) and spatial fading correlation. It is important that the MIMO channel matrix consists of Kronecker product dividable spatial and polarized channel. Through the channel characteristics, we propose an algorithm for the adaptation of transmit antenna configuration to time varying propagation environments. The optimal active transmit antenna subset is determined with equal power allocated to the active transmit antennas, assuming no feedback information on types of the selected antennas. We first consider a heuristic decision strategy in which the optimal active transmit antenna subset and its system capacity are determined such that the transmission data rate is maximized among all possible types. This paper then proposes singular values decision procedure consisting of Kronecker product with spatial and polarize channel. This method of singular value decision, which the first channel environments is determined using singular values of spatial channel part which is made of environment parameters and distance between antennas. level of correlation. Then we will select antenna which have various polarization type. After spatial channel structure is decided, we contact polarization types which have considerable cases It is note that the proposed algorithms and analysis of dual polarized channel using SCM (Spatial Channel Model) optimize channel capacity and reduce the number of transmit antenna selection compare to heuristic method which has considerable 100 cases.

• The KIPS Transactions:PartB
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• v.9B no.2
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• pp.147-154
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• 2002

In bulding Intelligent Agent Societies (IAS), it is very important to design and implement coordination in accordance with the known requirement and anticipated working conditions. Coordination consists of a set of mechanisms necessary for the effective operation of IAS. Currently, there is little theoretical support that could help in this research is to generate an empirically-based solving systems in which all agent share an identical goal structure and fully cooperate. And we developed a simulation model called "P-System" which produces basic data to be used for statistical analysis to generate a theory of coordination. Coordination among agent in the P-System is dependent on 23 control variables calld TEs(tweakable emtities.)And the level of coordination is represennted by an independent variabe called QMC (Quality Measure Coordination) expressed in numerical terms according tn the definiion of this study. Also, we have studied how to select unbiased subset from the huge total experimental space of the P-System and how to decide the scale of the subset.