• The Korean Journal of Food And Nutrition
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• v.11 no.3
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• pp.354-358
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• 1998

The influence of hot water extracts and tannin obtained from persimmon leaves on xanthine oxidase were investigated. Above two samples had higher inhibitory effect against xanthine oxidase by hot water extracts and tannin obtained from persimmon leaves was 92.4% and 92.1% by addition of 2.0 mg/$m\ell$ of the hot water extracts and the tannin, respectively. The inhibitions by the hot water extracts and the tannin were of competitive mode with respect to xanthine as a substrate.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.911-914
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• 2004

본 논문에서는 주어진 영상으로부터 보다 빠르고 효율적인 의미정보 추출을 위하여 블록분할 및 영역구성에 의한 기본영역 및 확장영역을 제안하며, 각 영역들을 구성하는 블록들의 구성관계에 의한 블록탐색 기법도 제안하고 있다. 기본영역은 영상의 중심을 기반으로 구성되는 중심영역과 이웃영역으로 구성되며, 확장영역은 기본영역들의 결합에 의해 생성된다. 블록탐색은 영역을 구성하는 블록간의 구성관계를 기반으로 블록들이 가질 수 있는 특징들의 유사도와 영역정보에 따라 탐색할 수 있는 방법이다. 얼굴추출은 분할된 블록들로부터 피부색상 존재여부를 판별하여 피부색이 존재하는 블록들로부터 얼굴 후보영역들을 획득한 후, 추출된 후보영역들로부터 얼굴을 구성하는 지역적 특성을 비교평가하여 얼굴을 추출할 수 있다. 또한 추출된 얼굴 영역정보는 연속적인 영상이 주어졌을 때, 해당영역들의 블록들에 대한 정합을 통하여 이동경로와 얼굴영역을 탐색할 수 있다.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.15-18
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• 2017

학술 데이터베이스를 통해 방대한 양의 텍스트 데이터에 대한 접근이 가능해지면서, 많은 데이터로부터 중요한 정보를 자동으로 추출하는 것에 대한 필요성 또한 증가하였다. 특히, 텍스트 데이터로부터 중요한 단어나 단어구를 선별하여 자동으로 추출하는 기법은 자료의 효과적인 관리와 정보검색 등 다양한 응용분야에 적용될 수 있는 핵심적인 기술임에도, 한글 텍스트를 대상으로 한 연구는 많이 이루어지지 않고 있다. 기존의 한글 텍스트를 대상으로 한 핵심어 또는 핵심어구 추출 연구들은 단어의 빈도나 동시출현 빈도, 이를 변형한 단어 가중치 등에 근거하여 핵심어(구)를 식별하는 수준에 그쳐있다. 이에 본 연구는 한글 학술논문의 초록으로부터 추출한 다양한 자질 요소들을 학습하여 핵심어(구)를 추출하는 모델을 제안하였고 그 성능을 평가하였다.

• Resources Recycling
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• v.27 no.3
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• pp.8-15
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• 2018

Solvent extraction behavior of light rare earth elements (Pr, Nd) and medium rare erath elements (Tb, Dy) in the HCl-PC88A-kerosene extraction system was investigated in order to separate high-purity light rare earths (Pr, Nd) and medium rare earths (Tb, Dy) in the mixed rare earth chloride solution. In the batch test step, it was confirmed that the separation efficiency was good when the extractant concentration (PC88A) was 0.5 M, the equilibrium pH after extraction was 0.8 to 1.0 (initial pH 1.3 of the feed), the concentrations of hydrochloric acid in scrubbing solution was set as 0.1 M, the concentrations of hydrochloric acid in stripping solution was set as 2.0 M or more. Based on the experimental data obtained from the batch test, the mixer-settler was composed as follows; 4 stages of extraction, 8 stages of scrubbing, 4 stages of stripping, and 3 stages of pickling organic solution. The Mixer-settler was operated for 180 hours, and the operating conditions were continuously adjusted to obtain the high-purity light/medium rare earths. Finally, the purity of light (Pr, Nd) and medium rare earth elements (Tb, Dy) was reached as 3 N class.

• Journal of Life Science
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• v.22 no.9
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• pp.1137-1144
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• 2012

Inflammation is a host defense mechanism that is activated in response to harmful substances or pathogens. However, an excessive inflammatory response is a problem in itself. Macrophages secrete inflammatory mediators such as nitric oxide (NO) or cytokines through various pathways such as the nuclear factor kappa B (NF-${\kappa}B$)-activated pathway after recognizing pathogen-like lipopolysaccharides (LPSs). In this study, anti-inflammatory effects of Eupatorium chinensis var. simplicifolium (EUC) extracts were investigated using LPS-stimulated RAW 264.7 macrophages. The EUC root extract significantly reduced NO production, inducible nitric oxide synthase (iNOS) expression, and cyclooxygenase-2 expression in a concentration-dependent manner. In addition, the EUC root extract reduced phosphorylation of mitogen-activated protein kinases and protein kinase B, which is upstream of NF-${\kappa}B$. The EUC root extract also reduced the degradation of inhibitory kappa B. These results indicate that EUC root extract exerts anti-inflammatory effects, which are mediated by inhibition of iNOS expression and the NF-${\kappa}B$ pathway.

• The Journal of Bigdata
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• v.8 no.2
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• pp.1-13
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• 2023

Current analysis of air passengers mainly relies on statistical methods, but there are limitations in analyzing detailed aspects such as travel routes, number of regional passengers and airport access times. However, with the advancement of big data technology and revised three data acts, big data-based transportation analysis has become more active. Mobile communication data, which can precisely track the location of mobile phone terminals, can serve as valuable analytical data for transportation analysis. In this paper, we propose a air passenger Origin/Destination (O/D) extraction algorithm based on mobile communication data that overcomes the limitations of existing air transportation user analysis methods. The algorithm involves setting airport signal detection zones at each airport and extracting air passenger based on their base station connection history within these zones. By analyzing the base station connection data along the passenger's origin-destination paths, we estimate the entire travel route. For this paper, we extracted O/D information for both domestic and international air passengers at all domestic airports from January 2019 to December 2020. To compensate for errors caused by mobile communication service provider market shares, we applied a adjustment to correct the travel volume at a nationwide citizen level. Furthermore correlation analysis was performed on O/D data and aviation statistics data for air traffic users based on mobile communication data to verify the extracted data. Through this, there is a difference in the total amount (4.1 for domestic and 4.6 for international), but the correlation is high at 0.99, which is judged to be useful. The proposed algorithm in this paper enables a comprehensive and detailed analysis of air transportation users' travel behavior, regional/age group ratios, and can be utilized in various fields such as formulating airport-related policies and conducting regional market analysis.

• Microbiology and Biotechnology Letters
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• v.49 no.3
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• pp.283-288
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• 2021

This study investigated the anticancer activity of methanol extract from Platycarya strobilacea leaf in AGS human gastric cancer cells. We determined the cell viability effect of P. strobilacea using MTS assay. Apoptosis induction and cell cycle arrest were confirmed by fluorescein isothiocyanate and propidium iodide staining using cellometer K2. The mRNA expression levels of the Bcl-2 family were confirmed by reverse transcription-polymerase chain reaction. The cell viability was decreased in a dose-dependent manner treated with different concentrations of P. strobilacea. Total, early, and late apoptotic cells were dramatically increased, and the cell cycle was arrested at the sub-G1 phase. The mRNA expressions of Bcl-2 and Bcl-xL were reduced, whereas pro-apoptotic factors, Bax and Bak, were increased in a dose-dependent manner. These results suggested that P. strobilacea leaf extract induced significant apoptotic activity through an intrinsic mitochondria pathway.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.709-712
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• 2004

응용프로그램이 복잡해지고 사용 환경이 다양해짐에 따라 신뢰성 높은 소프트웨어 생산을 위한 테스트가 중요시 되고 있다. 소프트웨어를 테스트하기 위해서는 각 기능에 따라 동작하는 모듈이 합당한 동작에 대해서 분석해야한다. 모듈은 다수의 실행경로로 이루어져 있으며 각 실행 경로에 따라 다른 결과를 출력하도록 설계되어 있다. 본 논문은 실행 경로에 따른 모듈의 인자를 자동으로 생성할 수 있는 방법을 제안한다. 프로그램은 블록간의 제어문 결합으로 이루어져 있고 다른 실행 경로를 생성하는 요인은 프로그램내의 제어문을 통해 결정된다. 그러므로 블록간의 결합을 제어의 종류에 따라 연산으로 표현하고 연산의 특성을 분석한다. 그리고 블록의 속성은 조건식을 가지고 있어 블록이 실행되는 조건을 표현한다. 각 연산의 특성에 맞게 조건식을 연산하여 블록이 동작하는 조건을 확인하고 최종적으로 실행 경로에 따른 모듈의 인자를 구하는 방법을 제안한다. 이 방법은 조건식에 영향을 주는 명령만을 추출하는 방법으로 인자를 구하기 위한 계산의 로드를 줄이는 장점이 있다.

• Korean Journal of Organic Agriculture
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• v.23 no.2
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• pp.311-322
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• 2015

The study was conducted on growth and yield of potatoes in a wick hydroponic culture as affected by concentration of aqueous extracts in order to develop natural agricultural resources using Persicaria longiseta. Each 500 ml of distilled water (control) and P. blumei extracts (25%, 50%, 75%, and 100%) was applied to potato plants at 5 d intervals from 1 d after potato transplanting. The potatoes with P. blumei extract emerged 1 d earlier and had 0.3 to 0.4 more stem numbers per plant compared with those of control plot. The plant height was higher in plots with P. blumei extract than in control in early stage of potatoes (50 d), but there was no significant difference observed after mid-stage of potatoes (70 and 90 d). The stem diameter and fresh weight of potatoes estimated a higher values in plots with P. blumei extract than in control plots, although there was no statistical difference. The 100% P. blumei extract increased by up to $13.8kg/m^2$ of potato yield. The numbers of tubers in classes of < 5 g and 5 to 30 g per plant did not show a specific trend among experimental treatments while it in class of > 30 g was much higher in plots with P. blumei extract than in control plot. Accordingly, the P. blumei extract had a positive effect on the growth and yield of potatoes, could be applied as of eco-friendly fertilizers

• Korean Journal of Plant Resources
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• v.31 no.4
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• pp.294-302
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• 2018

This study was conducted to compare anti-inflammatory effect of Robinia pseudoacacia L. using different extraction methods (water extraction, ethanol extraction and high temperature extraction). We investigated anti-inflammatory effect of Robinia pseudoacacia L. extract (RP1, water extract; RP2, ethanol extract; RP3, high temperature extract) on lipopolysaccharide (LPS)-stimulated inflammation using Raw 264.7 cell. Cells were treated with various concentrations (12.5, 25, 50, 100 or $200{\mu}g/m{\ell}$) of water extract, ethanol extract and high temperature extract. Cytotoxicity was not observed on Raw 264.7 cells, LPS-stimulated production of NO (nitric oxide), $PGE_2$ (prostaglandin $E_2$) and cytokines ($TNF-{\alpha}$, IL-6 and $IL-1{\beta}$) was reduced by RP3 treatment more than RP1 and RP2. In conclusion, these results indicated that inflammation on Raw 264.7 cells was improved by RP3. Treatment of RP3 could be used to natural medicine for improving inflammatory response. However, further experiment is required to observe how the high temperature extraction at $500^{\circ}C$ for 48 h influences on alteration of active ingredient in Robinia pseudoacacia L., and conducts the inflammation signal pathway on Raw 264.7 cells.