• Bulletin of the Korean Chemical Society
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• v.34 no.9
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• pp.2629-2634
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• 2013

Fisetin is a naturally occurring flavonoid with some anti-cancer and anti-inflammation capabilities. In this study, we perform docking studies between human c-Jun N-terminal kinase 1 (JNK 1) and fisetin and proposed a binding model of fisetin and JNK 1, in which the hydroxyl groups of the B ring and oxygen at the 4-position of the C ring play key roles in binding interactions with JNK. Fluorescence quenching and saturation-transfer difference (STD) NMR experiments showed that fisetin exhibits good binding affinity to JNK, $1.32{\times}10^8M^{-1}$. The anti-inflammatory activity of fisetin was also investigated. Fisetin significantly suppressed tumor necrosis factor, the NO production, and macrophage inflammatory cytokine release in LPS-stimulated RAW264.7 mouse macrophages. We found that the anti-inflammatory cascade of fisetin was mediated through the JNK, and cyclooxygenase (COX)-2 pathways. Our findings suggest the potential of fisetin as an anti-inflammatory agent.

• Journal of Advanced Research in Ocean Engineering
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• v.2 no.2
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• pp.48-60
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• 2016

Accurate simulation of free-surface wave flows around a ship is very important for better hull-form design. In this paper, a computational fluid dynamics (CFD) code which is based on the open source libraries, OpenFOAM, was developed to predict the wave patterns around a ship. Additional anti-diffusion source term for minimizing a numerical diffusion, which was caused by convection differencing scheme, was considered in the volume-fraction transport equation. The influence of the anti-diffusion source term was tested by applying it to free-surface wave flow around the Wigley and KCS model ships. In results, the wave patterns and hull wave profiles of the Wigley and KCS model ships for various anti-diffusion coefficients showed quite close patterns. While, the band width of the water volume-fraction values between 0.1 to 0.9 at the Wigley and KCS model hull surfaces was narrowed by considering the anti-diffusion term. From the results, anti-diffusion source term decreased free-surface smearing.

• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.47-61
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• 2011

Recently, the importance of digital forensic has been magnified because of the dramatic increase of cyber crimes and the increasing complexity of the investigation of target systems such as PCs, servers, and database systems. Moreover, some systems have to be investigated with live forensic techniques. However, even though live forensic techniques have been improved, they are still vulnerable to anti-forensic activities when the target systems are remotely accessible by criminals or their accomplices. To solve this problem, we first suggest a layer-based model and the anti-forensic scenarios which can actually be applicable to each layer. Our suggested model, the Anti-Forensic Activites layer-based model, has 5 layers - the physical layer, network layer, OS layer, database application layer and data layer. Each layer has possible anti-forensic scenarios with detailed commands. Second, we propose a fuzzy expert system for effectively detecting anti-forensic activities. Some anti-forensic activities are hardly distinguished from normal activities. So, we use fuzzy logic for handling ambiguous data. We make rule sets with extracted commands and their arguments from pre-defined scenarios and the fuzzy expert system learns the rule sets. With this system, we can detect anti-forensic activities in real time when performing live forensic.

• Journal of Korean Physical Therapy Science
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• v.9 no.2
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• pp.111-122
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• 2002

In oriental medicine, manual-acupuncture and electroacupuncture (EA) have been widely utilized to cure several inflammatory diseases such as arthritis. We designed this experiment to find neurochemical mechanism related to electroacupuncture induced anti-inflammatory effect on mouse air pouch model. EA with both low frequency (1 Hz) and high frequency (120 Hz) was treated after induction of inflammation in air pouch using injection of zymosan. To verify the role of opioid system in electroacupuncture-induced anti-inflammatory effect, naloxone (10 mg/kg) was pretreated. In addition, idazoxan (5 mg/kg) was pre-treated to evaluate the possible effect of endogenous adrenergic system in autonomic system on EA induced anti-inflammatory effect. As results of this study, naloxone pretreatment did not change the anti-inflammatory effect evoked by high frequency EA, while low frequency EA(1 Hz) induced anti-inflammatory effect was dramatically suppressed by naloxone pretreatment. These data indicated that endogenous opioid system might be extensively involve in anti-inflammatory effect evoked by not high frequency, but low frequency EA. However, idazoxan pretreatment did not produce any modulatory effect on both low and high frequency EA induced anti-inflammatory effect, suggesting that EA induced anti-inflammatory effect was not mediated by endogenous adrenergic system. In conclusion, these data strongly suggested that EA induced anti-inflammatory effect is mediated by endogenous opioid system, not endogenous adrenergic system.

• The Journal of the Acoustical Society of Korea
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• v.19 no.2
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• pp.90-94
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• 2000

In this paper, we propose an efficient method of estimating a critical threshold which is used to reject unreliable patterns in a HMM based recognition system. The rejection methods based on the anti-models which are formulated as the statistical hypothesis determine whether or not to accept an input pattern by comparing the likelihood ratio of HMM and anti-models to a critical threshold. It is quite difficult to fix a threshold for the probability of a HMM because the range of such probabilities varies severely depending on the chosen class model. We estimate the critical threshold, which is very class-dependent, using the likelihood scores for the training database. In our experiments, we applied the proposed estimating method of the threshold to the HMM based 3D hand gesture recognition system. We found that this method can be used successfully for rejecting unreliable input gestures regardless of the types of anti-models.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.29 no.2 s.43
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• pp.37-65
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• 2003

Nowadays, we find out new anti-wrinkle-care-ingredients by in vitro searching methods using many kind of cell-culture-models for investigation of the effective anti-wrinkle-care-ingredients. But, theses new ingredients don't have effect on the human-model for anti-wrinkle, not likely on in vitro. In other words, there are so many differences between the effects on in vitro models and the clinical human models, practically. But, we actually have difficulty in putting all of the new anti-wrinkle-care-ingredients to the test on human models directly. To solve this problem, we have investigated that by using the artificial skin-culture-model or the animal model, In this lecture I will review the detail of assessment method far evaluation of anti-wrinkle agents in vitro and animal model and discuss the pros and cons of each method. Then I will present the results of Preclinical Screening trials, And especially animal model may be a good candidate for evaluation of anti-wrinkle agents.

• Journal of Pharmaceutical Investigation
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• v.36 no.5
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• pp.309-314
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• 2006

The multicellular layers(MCL) of human cancer cells is a three dimensional(3D) in vitro model for human solid tumors which has been used primarily for the assessment of avascular penetration of anti-cancer drugs. For anti-cancer drugs with penetration problem, MCL represents a good experimental model that can provide clinically relevant data. Calcein-AM is a fluorescent dye that demonstrates the cellular vitality in a graded manner in cancer cell culture system. In the present study, we evaluated the use of calcein-AM for determination of anti-proliferative activity of anti-cancer agents in MCL model of DLD-1 human colorectal cancer cells. Optical sectioning of confocal imaging was compromised with photonic attenuation and penetration barrier in the deep layers of MCL. By contrast, fluorescent measurement on the cryo-sections provided a feasible alternative. Cold pre-incubation did not enhance the calcein-AM distribution to a significant degree in MCL of DLD-1 cells. However, the simultaneous determination of drug penetration and cellular vitality appeared to be possible in drug treated MCL. In conclusion, these data suggest that calcein-AM can be used for the simultaneous determination of drug-induced anti-proliferative effect and drug penetration in MCL model.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.16 no.11 s.116
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• pp.1108-1114
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• 2006

Underwater acoustic transducers can be exposed to a underwater explosive shock caused by various types of underwater weapon. So, a robust anti-shock design is required for transducers to endure the underwater explosive shock. To check the anti-shock characteristics of a transducer, underwater explosive shock test is needed. The conditions of underwater explosive shock test are set up referring to various oversea explosive shock test specifications, and the explosive shock pressure values are calculated according to those conditions. Transient analyses art: carried out for two kinds of underwater acoustic transducer model to verify the anti-shock characteristics. The applied model has robust anti-shock characteristics enough to endure the explosive shock up to 2300 psi. In the future, the transducer design should be certified through the fields test, and modified if needed.

• Management & Information Systems Review
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• v.26
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• pp.61-90
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• 2008

The purpose of this paper is to investigate the effects of anti-smoking advertising on attitude toward anti-smoking and behavioral intention to quit smoking in terms of audience's involvement with anti-smoking and knowledge on smoking. For this, a total of 10 hypothesis were established and statistically tested. According to the results, all but hypothesis 1-1(attitude toward anti-smoking is more favorable in the high involvement condition than in the low involvement condition) were unfortunately rejected. These results can be justified by theoretical explanations such as Hierarchy Effects Model or Elaboration Likelihood Model. In addition, some methodological reasons were provided as well.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.6
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• pp.877-885
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• 2018

The anti-submarine helicopter is the most effective weapon system in anti-submarine warfare. Recently changes in the introduction of the anti-submarine warfare sonar system are expected to operate multi-static sonar equipment of the anti-submarine helicopter. Therefore, it is required to study the operational concept of multi-static of anti-submarine helicopter. This paper studies on the optimal search of multi-static based on anti-submarine helicopter considering Furthest On Circles(FOC). First, the deployment of the sensors of the anti-submarine helicopter is optimized using genetic algorithms. Then, the optimized model is extended to consider FOC. Finally, the proposed model is verified by comparing pattern-deployment the search method in Korean Navy.