• Title/Summary/Keyword: Web Databases

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Evaluation of drug interventions for the treatment of sleep disorders in children with autism spectrum disorders: a systematic review

  • Jenabi, Ensiyeh;Ataei, Sara;Bashirian, Saeid
    • Clinical and Experimental Pediatrics
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    • v.62 no.11
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    • pp.405-409
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    • 2019
  • A structured review study of drug interventions on sleep disorders in patients with autism spectrum disorders (ASD) has not been published to date. This systematic review aimed to investigate drug interventions for the treatment of sleep disorders in children with ASD. The Web of Science, PubMed, and Scopus databases were searched until March 2019. Study quality was assessed using the Delphi checklist. Due to the heterogeneity of the findings, a meta-analysis was not possible. Drug interventions for the treatment of sleep disorders in patients with ASD included melatonin, atomoxetine, and risperidone. Atomoxetine had no effect on sleep disorders in patients with ASD. A total of 10 studies were reviewed. Melatonin appears to be useful for the treatment of sleep problems in patients with ASD, but further studies are needed to determine the effects of other drugs.

User Perceptions of Uncertainty in the Selection of Information Retrieval System: Implications for System and Service Improvement

  • Kim, Yang-Woo
    • International Journal of Contents
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    • v.5 no.3
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    • pp.40-49
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    • 2009
  • While numerous studies have suggested the significance of uncertainty during the process of information-seeking, less research has investigated user uncertainty in the actual search process using a real system. This study investigated user perceptions of uncertainty in the process of the selection of information retrieval system in the real information-seeking process. Considering the role of commercial Web search engines as supplementary tools for traditional bibliographic databases in academic research environments, this study analyzed the selection behavior of scholarly researchers, who use such search tools for their academic study. The researchers were limited to the discipline of science in order to understand user perceptions in this field. The findings revealed various dimensions, types, and incidents of uncertainty. Variations appeared in different incidents of uncertainty relating to the unique characteristics of the subjects' information-seeking context. The identification of three principal origins of uncertainty based on the different types of uncertainty generated implications to improve information systems and services.

Reasoning about Multiple Access Control Configurations

  • Dangprasert, Supakit;Permpoontanalarp,Yongyuth
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.2047-2050
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    • 2002
  • At present, many applications independently provide access control for their own resources, for example Web, Databases and Operating Systems, etc. Such independent access control systems result in multiple access control configurations each of which deals with the access control in its own application context. Since those multiple configurations are operated in isolation, and maintained by possibly different administrators, they are likely to be incoherent. In this paper, we propose a logical specification to reason about multiple access control configurations. Our specification can be used to detect the incoherence in multiple configurations. Furthermore, it of offers many kinds of policies for multiple configurations that can capture several kinds of requirements for multiple access control systems.

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Study of Process Model Using CAD System and Distributed Building Component Database (CAD 시스템과 분산형 건축부품 데이터베이스를 이용한 프로세스 모델에 관한 연구)

  • 박현수
    • Korean Journal of Computational Design and Engineering
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    • v.7 no.1
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    • pp.66-73
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    • 2002
  • The purpose of this study is to propose a new process model for architects and suppliers in AEC(Architectural, Engineering and Construction) industry, which comes from its utilization of a distributed database. Information used by participants of this process is not held in one singular application sewer, but in tile databases of multiple participants. This study addresses the problem of coping with dynamic information changes that architects face when designing with increasingly time-sensitive product information from multiple suppliers. It also describes the new distributed architecture for design representation, and outlines a corresponding process model to address the needs architectural designers during design and procurement phases. The feasibility of the process was tested in a prototype system that combines existing technologies, which allows for an objects transfer from the Web to the CAD application.

Development Methods and Design of Ubiquitous Integrated Information System for Realizing u-Campus (u-Campus 실현을 위한 유비쿼터스 종합정보시스템의 개발방법 및 설계)

  • Choi, Jae-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.2
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    • pp.421-429
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    • 2010
  • In this paper we researched the development methods and design of the Ubiquitous Integrated Information System (u-IIS) that makes efficiently access the experts and various kinds of intellectual and material information of the universities. And u-IIS supports various communication and cooperation tools such as VoIP, Email, Unified Messaging, Instant Messaging, Web Conferencing, Audio/Video Communication etc. We gave our focus to the methods and design that makes it possible to effectively implement the u-IIS with the least costs based on the available databases and infrastructures.

IdMapper: A Java Application for ID Mapping across Multiple Cross-referencing Providers

  • Lee, Hoo-Keun;Kim, Hyeon-Jin;Yu, Ung-Sik
    • Genomics & Informatics
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    • v.7 no.4
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    • pp.208-211
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    • 2009
  • We developed an identifier mapping application for bioinformatics research in Java programming language. It is easy to use and provides many usability functionalities that are expected as essentials for a professional application. It supports three widely used mapping services and can convert many ids from one source database into many target databases at once. Id mapping across service providers is possible by remapping the resultant ids. Because it adheres to the NetBeans platform architecture, it can be incorporated into other NetBeans platform applications as an id mapping provider without adaption or modification.

An Exploratory Study of Performances between a Subject Directory and Keyword Search Engine in the Network Databases (네트웍 데이터베이스에서의 주제별 디렉토리와 키워드 검색엔진의 검색효율에 관한 탐색적 연구)

  • Lee Myeong-Hee
    • Journal of the Korean Society for Library and Information Science
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    • v.31 no.2
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    • pp.177-197
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    • 1997
  • The study measured whether two search engines retrieve different Web documents for 6 queries. Two different search engines, Alta Vista in terms of keyword search engines and Yahoo in terms of subject directory engines were measured using as criteria, total number of documents retrieved, total number of relevant documents retrieved, recall and precision ratios. In addition, Alta Vista was suitable for specific and technical terms, while Yahoo was effective for general and plain terms. However, more elaborate research needs to be tested in terms of query characteristics.

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A Web-Based Protein Comparison System Using PSAML and Topology String Databases (PSAML과 Topology String 데이터베이스를 이용한 웹 기반 단백질 구조 비교 시스템)

  • 김진홍;안건태;변상희;이수현;이명준
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.271-273
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    • 2004
  • 단백질의 기능은 단백질의 구조에 따라 결정되며, 새로운 단백질의 기능을 파악하기 위하여 이미 밝혀진 단백질의 기능과 구조를 비교하는 방법이 사용되고 있다. 단백질 구조를 비교하는 방법은 단백질 구조를 표현하는 방법에 따라 다양하게 개발되고 있으며, 보다 효과적으로 관련된 연구자들이 자신의 연구에 활용하기 위해서는 빠르고 쉽게 활용할 수 있는 인터페이스를 제공하는 도구가 필요하다. 본 논문에서는 PDB 데이터베이스에서 제공하는 단백질 정보를 이용하여 PSAML 및 Topology String 데이터베이스를 구축하고 이를 바탕으로 웹 기반에서 단백질 구조 비교를 보다 빠르고 효과적으로 수행하는 시스템에 대하여 기술한다. PSAML 데이터베이스는 단백질 구조를 단백질 이차구조 및 그들 사이의 관계를 포함하는 PSAML 데이터를 제공하며, Topology String 데이터베이스는 단백질 구조를 단백질 이차구조를 하나의 문자로 기술하여 아미노산 순서와 위상학적(공간적) 정보를 포함하는 문자열로 단백질 구조정보를 제공한다. 이를 이용하여 구축된 웹 기반 단백질 구조 비교 시스템은 Topology String 정렬 방법을 통하여 보다 빠르게 유사성이 높은 부분 구조를 찾는 방법을 제공한다.

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The association between preeclampsia and autism spectrum disorders among children: a meta-analysis

  • Jenabi, Ensiyeh;Karami, Manoochehr;Khazaei, Salman;Bashirian, Saeid
    • Clinical and Experimental Pediatrics
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    • v.62 no.4
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    • pp.126-130
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    • 2019
  • Purpose: In this meta-analysis, relevant case-control and cohort studies were pooled to evaluate the association between preeclampsia and the risk of autism spectrum disorders (ASDs) in children. Methods: A search for relevant studies in major databases, including Web of Science, PubMed, and Scopus, was performed up to May 2018. The odds ratios (ORs) or rate ratios (RRs) with 95% confidence intervals (CIs) were extracted from eligible studies to determine the association among studies. Results: The pooled estimates of ORs and RRs indicated a significant association between preeclampsia and ASD [(OR, 1.36; 95% CI, 1.12-1.60) and (RR, 1.30; 95% CI, 1.20-1.41)]. Conclusions: Despite existing controversy, our findings indicated that preeclampsia was associated with an increased risk of ASD among children.

A Better Prediction for Higher Education Performance using the Decision Tree

  • Hilal, Anwar;Zamani, Abu Sarwar;Ahmad, Sultan;Rizwanullah, Mohammad
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.209-213
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    • 2021
  • Data mining is the application of specific algorithms for extracting patterns from data and KDD is the automated or convenient extraction of patterns representing knowledge implicitly stored or captured in large databases, data warehouses, the Web, other massive information repositories or data streams. Data mining can be used for decision making in educational system. But educational institution does not use any knowledge discovery process approach on these data; this knowledge can be used to increase the quality of education. The problem was happening in the educational management system, but to make education system more flexible and discover knowledge from it huge data, we will use data mining techniques to solve problem.