• Journal of KIISE:Software and Applications
• /
• v.37 no.2
• /
• pp.85-94
• /
• 2010

This paper introduces a novel way to leverage convolution parse tree kernel to extract the interaction information between two proteins in a sentence without multiple features, clues and complicated kernels. Our approach needs only the parse tree alone of a candidate sentence including pairs of protein names which is potential to have interaction information. The main contribution of this paper is two folds. First, we show that for the PPI, it is imperative to execute parse tree pruning removing unnecessary context information in deciding whether the current sentence imposes interaction information between proteins by comparing with the latest existing approaches' performance. Secondly, this paper presents that tree kernel decay factor can play an pivotal role in improving the extraction performance with the identical learning conditions. Consequently, we could witness that it is not always the case that multiple kernels with multiple parsers perform better than each kernels alone for PPI extraction, which has been argued in the previous research by presenting our out-performed experimental results compared to the two existing methods by 19.8% and 14% respectively.

• East Asian mathematical journal
• /
• v.34 no.5
• /
• pp.623-632
• /
• 2018

In [7, 8] they introduced a new finite element method for accurate numerical solutions of Poisson equations with corner singularities. They consider the Poisson equations with homogeneous boundary conditions, compute the finite element solutions using standard FEM and use the extraction formula to compute the stress intensity factor(s), then they posed new PDE with a regular solution by imposing the nonhomogeneous boundary condition using the computed stress intensity factor(s), which converges with optimal speed. From the solution they could get an accurate solution just by adding the singular part. Their algorithm involves an iteration and the iteration number depends on the acuracy of stress intensity factors, which is usually obtained by extraction formula which use the finite element solutions computed by standard Finite Element Method. In this paper we investigate the dependence of the iteration number on the convergence of stress intensity factors and give a way to reduce the iteration number, together with some numerical experiments.

• East Asian mathematical journal
• /
• v.38 no.5
• /
• pp.603-610
• /
• 2022

In [6, 7] they introduced a new finite element method for accurate numerical solutions of Poisson equations with corner singularities. They consider the Poisson equations with homogeneous boundary conditions, compute the finite element solutions using standard FEM and use the extraction formula to compute the stress intensity factor(s), then they posed new PDE with a regular solution by imposing the nonhomogeneous boundary condition using the computed stress intensity factor(s), which converges with optimal speed. From the solution they could get an accurate solution just by adding the singular part. They considered a partial differential equation with the input function f ∈ L²(Ω). In this paper we consider a PDE with the input function f ∈ H¹(Ω) and find the corresponding singular and dual singular functions. We also induce the corresponding extraction formula which are the basic element for the approach.

• Korean Journal of Pharmacognosy
• /
• v.49 no.1
• /
• pp.65-69
• /
• 2018

Torilin is a major sesquiterpene of Torilis japonica (Umbelliferae) fruits and known to be a melanogenesis inhibitor. Extraction conditions are important factor for the efficient preparation to save cost and time in economic aspects. For this reason, this study was conducted to optimize the extraction condition for maximal yield of torilin. For optimization, extraction factors such as extraction solvent, extraction temperature and sample/solvent ratio were tested and optimized for maximum yield of torilin using response surface methodology with Box-Behnken design (BBD). The optimal condition was obtained as a EtOAc concentration in MeOH of 31.8%, an extraction temperature at $30.3^{\circ}C$ and a sample/solvent ratio, 1000 mg/2 ml. The torilin yield under optimal conditions was found to be 9.9 mg/g dried samples, which were well-matched with the predicted value of 10.4 mg/g dried samples. These results will provide useful information about optimized extraction conditions for the development of torilin as cosmetic therapeutics to reduce skin hyperpigmentation.

• Journal of Industrial Convergence
• /
• v.13 no.2
• /
• pp.45-54
• /
• 2015

This Study aims to analyze the factors for the success of commercialization of the facial extraction and recognition image security information system of the domestic companies in Korea. As the results of the analysis, the internal factors for the success of commercialization of the facial extraction and recognition image security information system of the company were found to include (1) Holding of technology for close range facial recognition, (2) Holding of several facial recognition related patents, (3) Preference for the facial recognition security system over the fingerprint recognition and (4) strong volition of the CEO of the corresponding company. On the other hand, the external environmental factors for the success were found to include (1) Extensiveness of the market, (2) Rapid growth of the global facial recognition market, (3) Increased demand for the image security system, (4) Competition in securing of the engine for facial extraction and recognition and (5) Selection by the government as one of the 100 major strategic products.

• Fisheries and Aquatic Sciences
• /
• v.25 no.2
• /
• pp.76-89
• /
• 2022

The Lophius litulon liver was used as raw material for the extraction of fish oil via various extraction methods. The extraction rate by water extraction, potassium hydroxide (KOH) hydrolysis and protease hydrolysis were compared and the results revealed the protease hydrolysis extraction had a higher extraction rate with good protein-lipid separation as observed by optical microscope. Furthermore, subsequent experiments determined neutrase to be the best hydrolytic enzyme in terms of extraction rate and cost. The extraction conditions of neutrase hydrolysis were optimized by single-factor experiment and response surface analysis, and the optimal extraction rate was 58.40 ± 0.25% with the following conditions: enzyme concentration 2,000 IU/g, extraction time 1.0 h, liquid-solid ratio 1.95:1, extraction temperature 40.5℃ and pH 6.5. The fatty acids composition in fish oil from optimized extraction condition was composed of 19.75% saturated fatty acids and 80.25% unsaturated fatty acids. The content of docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) were 8.06% and 1.19%, respectively, with the ratio (6.77:1) surpassed to the recommendation in current researches (5:1). The results in this study suggest protease treatment is an efficient method for high-quality fish oil extraction from Lophius litulon liver with a satisfactory ratio of DHA and EPA.

• Applied Chemistry for Engineering
• /
• v.29 no.3
• /
• pp.325-329
• /
• 2018

In this study, polyphenols were extracted from Angelica, which are known to have a high antioxidant content and the extraction process was optimized using the response surface methodology. The extraction yield and the total polyphenols were set as response values for the methodology. Quantitative factors in the extraction process were the extraction time, volume ratio of alcohol/ultrapure water, and extraction temperature. When considering both the main and interaction effects, the greatest influence factor on the extraction yield and total polyphenols was the extraction time. The optimum extraction time and temperature and alcohol/ultrapure water volume ratio for angelica were 2.8 h, $56.6^{\circ}C$ and 64.0 vol% respectively. The extraction yield and total polyphenols when using the conditions were calculated to be 24.6% and 8.76 mg GAE/g. respectively. Determination coefficients of regression equations for the extraction yield and total polyphenols were 81.4 and 75.4%, respectively. Also the overall satisfaction level was found to be 0.80 and the significance was confirmed within 5%.

• Natural Product Sciences
• /
• v.24 no.2
• /
• pp.103-108
• /
• 2018

The usage of wild ginseng (Panax ginseng C.A. Meyer) has been limited due to short supply and high price. Therefore, sufficient production as well as efficient extraction of mountain ginseng are required for the development as products. In this study, wild ginseng adventitious root cultures were prepared for efficient production with advantages of fast growth and stable production. Treatment of methyl jasmonate (MJ) to wild ginseng adventitious root cultures increased the extraction yield and antioxidative activity. Further investigation on effect of extraction conditions suggested the importance of ethanol concentration on antioxidative activity and extraction yield of MJ-treated wild ginseng adventitious root cultures. Optimized extraction condition of MJ-treated wild ginseng adventitious root cultures for maximum extraction yield and antioxidative activity was determined using response surface methodology with three-level-three-factor Box-Behnken design (BBD). Extraction of 1 g MJ-treated wild ginseng adventitious root culture with 30 ml of 9% ethanol at $30^{\circ}C$ produced 310.2 mg extract with 71.0% antioxidative activity at $100{\mu}g/ml$. Taken together, MJ-treated wild ginseng adventitious root culture is valuable source for wild ginseng usage and optimized extraction condition can be used for the development of functional products or folk remedies.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.11 no.2
• /
• pp.95-100
• /
• 2008

A fast, simple, inexpensive, and reproducible sample preparation for extraction and analysis of HD in water was studied using single-drop microextraction(SDME) and GC-MS. Operation parameters, such as extraction solvent, extraction time were optimized. The optimized conditions were $1\{mu}L$ trichloroethylene and 10 min extraction time. In these conditions, about 42 times higher enrichment factor(EF) was obtained. The detection limit of HD was $1\{mu}g/L$, and the precision expressed as relative standard deviation was about 9.0%.

• The Journal of Society for e-Business Studies
• /
• v.9 no.3
• /
• pp.145-154
• /
• 2004

Class extraction of object or component based software development methodology is the major factor for software quality. Each method has the class definition and extraction method however there are some troubles when the beginners try. Especially, the conceptual gap results to make the class extraction hard. This research suggests three diagrams to support it. They are Information diagram, Behavio diagram and Management diagram. They specify which services a stakeholder wants, which information to support the service, which actions to solve the service and who has the responsibility for those. Any analysis process which takes class extraction can utilize these diagrams.