• Journal of the Korean Society of Food Science and Nutrition
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• v.29 no.2
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• pp.335-341
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• 2000

In order to search for blood anticoagulant substance from herbal extracts, we extracted with cold water (Fr. I), methanol (Fr. II) and hot water (Fr. III) from 93 commercially available herbs. The anticoagulant activity of herbal extracts was examined through the intrinsic pathway by activated partial thromboplastin time (APTT), the extriansic pathway by prothrombin time (PT) and the common pathway by thrombin time (TT). Onion, garlic, clove, fenugreek, mugwort, thyme and sage had on anticoagulant activity with intrinsic pathway and mint, italian seasoning, rosemary, turmeric, tarragon and wasabie had on anticoagulant activity with common pathway. Nobody had on anticogulant activity with extrinsic pathway. Among commerical herbs tested, clove cultivated in holland was selected because it showed the most potent anticoagulant activity among the samples investigated.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.31-41
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• 2009

In the Semantic Web, it is possible to provide intelligent information retrieval and automated web services by defining a concept of information resource and representing a semantic relation between resources with meta data and ontology. It is very important to manage semantic data such as ontology and meta data efficiently for implementing essential functions of the Semantic Web. Thus we propose an index structure to support more accurate search results and efficient query processing by considering semantic and structural features of the semantic data. Especially we use a graph data model to express semantic and structural features of the semantic data and process various type of queries by using graph model based path expressions. In this paper the proposed index aims to distinguish our approach from earlier studies and involve the concept of the Semantic Web in its entirety by querying on primarily extracted structural path information and secondary extracted one through semantic inferences with ontology. In the experiments, we show that our approach is more accurate and efficient than the previous approaches and can be applicable to various applications in the Semantic Web.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.12
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• pp.1708-1716
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• 2016

The Akt/mammalian target of the rapamycin (mTOR) pathway is activated in the majority of human cancers. Activation of the Akt/mTOR pathway confers resistance to many types of cancer therapy. In this study, we evaluated the apoptotic effect of ethanol extract of Artemisia annua L. through down-regulation of Akt signal pathways and the mitochondrial pathway in hepato-carcinoma cells (HepG2). A. annua extract is known as a medicinal herb that is effective against cancer. We evaluated anti-proliferative activity by MTT-based viability assay and apoptotic effect by Annexin-V/PI staining, mitochondrial membrane potential (MMP), and caspase-3/7 activity as determined by flow cytometry. A. annua treatment led to loss of MMP, resulting in cytochrome c-inducible activation of caspase-3/7. Treatment with A. annua extract reduced activities of Akt/mTOR/anti-apoptotic proteins (such as Bcl-2 and $Bcl-X_L$), leading to increased activation of tumor suppressor p53 and pro-apoptotic proteins (such as Bax and Bak). We applied LY294002 (inhibitor of Akt) and rapamycin (inhibitor of mTOR) to determine the relationship between signal transduction of proteins associated with apoptosis. LY294002 and rapamycin significantly reduced cell viability and increased apoptosis. These results indicate that Bcl-2 and caspase-3 are key regulators in A. annua extract-induced apoptosis in HepG2 cells and are controlled through the Akt/mTOR signaling pathway.

• 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.

• Journal of Korean Society of Forest Science
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• v.85 no.3
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• pp.343-346
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• 1996

The cultured stain fungus isolated firstly from discolored wood of Pinus rigida was inoculated on wood blocks to investigate the invading pathway of the fungus. The inoculated fungus rapidly colonized in the ray parenchyma and moved radially along them. In process of time the fungus penetrated tracheids where it started to move into vertical direction. After 90 days the fungus colonized all over the wood tissue, therefore some cell lumens were filled with full of hyphae. In addition methanol extracts did not affect the invading pathway of the stain fungus.

• Journal of KIISE:Software and Applications
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• v.37 no.8
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• pp.641-646
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• 2010

This paper presents algorithms for real-time navigation of a humanoid robot with a stereo vision but no other sensors. Using the algorithms, a robot can recognize its 3D environment by retrieving SIFT features from images, estimate its position through the Kalman filter, and plan its path to reach a destination avoiding obstacles. Our approach focuses on estimating the robot’s central walking path trajectory rather than its actual walking motion by using an approximate model. This strategy makes it possible to apply mobile robot localization approaches to humanoid robot localization. Simple collision free path planning and motion control enable the autonomous robot navigation. Experimental results demonstrate the feasibility of our approach.

• Journal of Korean Society of Forest Science
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• v.85 no.2
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• pp.325-328
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• 1996

The cultured stain fungus isolated firstly from discolored wood of Pinus rigida was inoculated on wood blocks to investigate the invading pathway of the fungus. The inoculated fungus rapidly colonized in the ray parenchyma and moved radially along them. In process of time the fungus penetrated tracheids where it started to move into vertical direction. After 90 days the fungus colonized all over the wood tissue, therefore some cell lumens were filled with full of hyphae. In addition methanol extracts did not affect the invading pathway of the stain fungus.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.217-219
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• 2005

정보의 단순한 연결을 표현하는 현재 웹 환경의 한계를 보완하기 위해 차세대 웹으로서 평가되고 있는 시맨틱 웹에서는 정보 리소스의 의미와 개념적 관계를 정의하는 메타데이터와 온톨로지의 역할이 무엇보다 중요시되고 있다. 따라서 RDF와 RDF 스키마와 같은 표준 언어로써 표현되는 메타데이터와 온톨로지의 효과적인 저장과 검색의 방법이 필요하다. RDF와 RDF 스키마는 그래프 모델로서 표현이 가능하고 다양한 질의의 형태가 그래프 형태에서 추출 가능한 경로 형식으로 표현들 수 있기 때문에 보다 효율적인 질의 처리를 위해서는 경로 정보의 저장에 대한 연구가 필요하다. 따라서 본 논문에서는 관계형 데이터베이스를 기반으로 RDF와 RDF 스키마의 기본적인 정보와 특정 클래스, 프로퍼티, 리소스로 시작하는 경로 정보를 함께 저장할 수 있는 저장 구조를 제안한다.

• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.14-19
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• 2016

본 논문은 문장에서의 어절 간 의존관계가 성립될 때 의존소와 지배소가 어떠한 관계를 가지는지 의존 관계명을 부착하는 모델을 제안한다. 국내에서 한국어 의존구문분석에 관한 연구가 활발히 진행되고 있지만 의존 관계만을 결과로 제시하고 의존 관계명을 제공하지 않는 경우가 많았다. 따라서 본 논문에서는 의존경로(Dependency Path)와 음절의 의존 관계명 분포를 반영하는 음절 임베딩를 이용한 의존 관계명 부착모델을 제안한다. 문장에서 나올 수 있는 최적의 입력 열인 의존 경로(Dependency Path)를 순차 레이블링에서 좋은 성능을 나타내고 있는 bidirectional LSTM-CRFs의 입력 값으로 사용하여 의존 관계명을 결정한다. 제안된 기법은 자질에 대한 많은 노력 없이 의존 경로에 따라 어절 및 음절 단어표상(word embedding)만을 사용하여 순차적으로 의존 관계명을 부착한다. 의존 경로를 사용하지 않고 전체 문장의 어절 순서를 바탕으로 자질을 추출하여 CRFs로 분석한 기존 모델보다 의존 경로를 사용했을 때 4.1%p의 성능향상을 얻었으며, 의존 관계명 분포를 반영하는 음절 임베딩을 사용한 bidirectional LSTM-CRFs는 의존 관계명 부착에 최고의 성능인 96.01%(5.21%p 개선)를 내었다.