• Title/Summary/Keyword: Discovery

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Diaralkylthiourea Derivatives as a Novel Vanilloid Receptor Antagonist

  • Joo, Yung-Hyup;Kim, Jin-Kwan;Kim, Sun-Young;Choi, Jin-Kyu;Koh, Hyun-Ju;Jeong, Yeon-Su;Park, Young-Ho;Chung, Shin;Suh, Young-Ger;Oh, Uh-Taek;Park, Hyeung-Geun;Kim, Hee-Doo
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.350.1-350.1
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    • 2002
  • A series of diaralkylthiourea derivatives was prepared and tested for its antagonistic activity against vanilloid receptor. In this study we explored the possibility of selected compound type (Ⅰ) with tetrahydronaphthyl group as rigid pendant moiety. Our premise for antagonistic activity of molecules was modeled on the capsazepine. the first antagonist for vanilloid receptor. These compounds (Ⅰ) showed less potent antagonistic activity than that of capsazepine. but they were devoid of agonistic activity. (omitted)

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Retrieval of Legal Information Through Discovery Layers: A Case Study Related to Indian Law Libraries

  • Kushwah, Shivpal Singh;Singh, Ritu
    • Journal of Information Science Theory and Practice
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    • v.4 no.3
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    • pp.71-83
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    • 2016
  • Purpose. The purpose of this paper is to analyze and evaluate discovery layer search tools for retrieval of legal information in Indian law libraries. This paper covers current practices in legal information retrieval with special reference to Indian academic law libraries, and analyses its importance in the domain of law.Design/Methodology/Approach. A web survey and observational study method are used to collect the data. Data related to the discovery tools were collected using email and further discussion held with the discovery layer/ tool /product developers and their representatives.Findings. Results show that most of the Indian law libraries are subscribing to bundles of legal information resources such as Hein Online, JSTOR, LexisNexis Academic, Manupatra, Westlaw India, SCC web, AIR Online (CDROM), and so on. International legal and academic resources are compatible with discovery tools because they support various standards related to online publishing and dissemination such as OAI/PMH, Open URL, MARC21, and Z39.50, but Indian legal resources such as Manupatra, Air, and SCC are not compatible with the discovery layers. The central index is one of the important components in a discovery search interface, and discovery layer services/tools could be useful for Indian law libraries also if they can include multiple legal and academic resources in their central index. But present practices and observations reveal that discovery layers are not providing facility to cover legal information resources. Therefore, in the present form, discovery tools are not very useful; they are an incomplete and half solution for Indian libraries because all available Indian legal resources available in the law libraries are not covered.Originality/Value. Very limited research or published literature is available in the area of discovery layers and their compatibility with legal information resources.

A 3-Layered Framework for Spatiotemporal Knowledge Discovery (시공간 지식탐사를 위한 3계층 프레임워크)

  • 이준욱;남광우;류근호
    • Journal of KIISE:Databases
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    • v.31 no.3
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    • pp.205-218
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    • 2004
  • As the development of database technology for managing spatiotemporal data, new types of spatiotemporal application services that need the spatiotemporal knowledge discovery from the large volume of spatiotemporal data are emerging. In this paper, a new 3-layered discovery framework for the development of spatiotemporal knowledge discovery techniques is proposed. The framework supports the foundation model in order not only to define spatiotemporal knowledge discovery problem but also to represent the definition of spatiotemporal knowledge and their relationships. Also the components of spatiotemporal knowledge discovery system and its implementation model are proposed. The discovery framework proposed in this paper satisfies the requirement of the development of new types of spatiotemporal knowledge discovery techniques. The proposed framework can support the representation model of each element and relationships between objects of the spatiotemporal data set, information and knowledge. Hence in designing of the new types of knowledge discovery such as spatiotemporal moving pattern, the proposed framework can not only formalize but also simplify the discovery problems.

Specific Device Discovery Method for D2D Communication as an Underlay to LTE-Advanced Networks (LTE-Advanced 네트워크에서 D2D 통신을 위한 특정 디바이스 탐색 기법)

  • Kim, Hyang-Mi;Lee, Han-Na;Kim, SangKyung
    • Journal of Information Technology Services
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    • v.13 no.1
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    • pp.125-134
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    • 2014
  • Device discovery for D2D (device-to-device) communication enables a device to discover other devices in order to initiate communication with them. Devices should perform the discovery phase using a small quantity of radio resource in a short time and be able to reduce the load of the base station. Legacy device discovery schemes have focused on discovering as many target devices as possible. However, it is not appropriate for peer-to-peer D2D communication scenario. Further, synchronization problems are an important issue for discovery signal transmission. This paper proposes a discovery method that one requesting device discovers a specific target for communication. Multiple antenna beamforming is employed for the synchronization between the base station and a target device. The proposal can reduce the load of the base station using the information that it already maintains and improve the reliability of the device discovery because two times of synchronizations using beamforming among the base station and devices can make the exact discovery of a target device with mobility possible.

Multi-agent-based approach for service discovery in smart meeting spaces (지능형 협업환경에서 서비스 발견을 위한 다중 에이전트 시스템 적용 방법)

  • Bae, Chang-Hyeok;Han, Sang-Woo;Kim, Jong-Won
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.669-673
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    • 2008
  • The service discovery method is an important technology finding and offering users' desirable services in smart meeting spaces. Extensive researches of the service discovery methods are achieved: SSDP(simple service discovery protocol) of UPnP(universal plug & play) and so on. However, there are several limitations to satisfy the requirements of service discovery in smart meeting spaces. In this paper, the requirements of service discovery in smart meeting spaces are investigated and the service discovery method based on multi-agent system is proposed in the practical aspect. Additionally, we explore the possibilities of the proposed approach by implementing a couple of services belonging to the smart meeting spaces.

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A Framework for Developing interoperable Knowledge Discovery System

  • Li, Sheng-Tun;Shue, Li-Yen
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.435-440
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    • 2001
  • The development of web-aware knowledge discovery system has received a great deal of attention in recent years. It plays a key-enabling role for competitive businesses in the E-commerce era. One of the challenges in developing web-aware knowledge discovery systems is to integrate and coordinate and coordinate existing standalone or legacy knowledge discovery applications in a seamless manner, so that cost-effective systems can be developed without the need of costly proprietary products. In this paper, we present an approach for developing a framework of web-aware interoperable knowledge discovery system to achieve this purpose. This approach applies RMI and high-level code wrapper of Java distributed object computing to address the issues of interoperability in heterogeneous environments, which includes programming language, platform, and visual object model. The effectiveness of the proposed framework is demonstrated through the integration and extension of the two well-known standalone knowledge discovery tools, SOM_PAK and Nenet. It confirms that a variety of interoperable knowledge discovery systems can be constructed efficiently on the basis of the framework to meet various requirements of knowledge discovery tasks.

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Discovery Layer in Library Retrieval: VuFind as an Open Source Service for Academic Libraries in Developing Countries

  • Roy, Bijan Kumar;Mukhopadhyay, Parthasarathi;Biswas, Anirban
    • Journal of Information Science Theory and Practice
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    • v.10 no.4
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    • pp.3-22
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    • 2022
  • This paper provides an overview of the emergence of resource discovery systems and services, along with their advantages, best practices, and current landscapes. It outlines some of the key services and functionalities of a comprehensive discovery model suitable for academic libraries in developing countries. The proposed model (VuFind as a discovery tool) performs like other existing web-scale resource discovery systems, both commercial and open-source, and is capable of providing information resources from different sources in a single-window search interface. The objective of the paper is to provide seamless access to globally distributed subscribed as well as open access resources through its discovery interface, based on a unified index. This model uses Koha, DSpace, and Greenstone as back-ends and VuFind as a discovery layer in the front-end and has also integrated many enhanced search features like Bento-box search, Geodetic search, and full-text search (using Apache Tika). The goal of this paper is to provide the academic community with a one-stop shop for better utilising and integrating heterogeneous bibliographic data sources with VuFind (https://vufind.org/vufind).

The Predictive QSAR Model for hERG Inhibitors Using Bayesian and Random Forest Classification Method

  • Kim, Jun-Hyoung;Chae, Chong-Hak;Kang, Shin-Myung;Lee, Joo-Yon;Lee, Gil-Nam;Hwang, Soon-Hee;Kang, Nam-Sook
    • Bulletin of the Korean Chemical Society
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    • v.32 no.4
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    • pp.1237-1240
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    • 2011
  • In this study, we have developed a ligand-based in-silico prediction model to classify chemical structures into hERG blockers using Bayesian and random forest modeling methods. These models were built based on patch clamp experimental results. The findings presented in this work indicate that Laplacian-modified naive Bayesian classification with diverse selection is useful for predicting hERG inhibitors when a large data set is not obtained.