Literature-related discovery (LRD): Potential treatments for Raynaud's Phenomenon

Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge (i.e., potential discovery). The open discovery systems (ODS) component of LRD starts with a problem to be solved, and generates solutions to that problem through potential discovery. We have been using ODS LRD to identify potential treatments or preventative actions for challenging medical problems, among myriad other applications.Raynaud's Phenomenon (RP) is a condition in which small arteries, most commonly in fingers and toes, contract and cause the skin to turn pale or a patchy red to blue. We selected the subject of RP for analysis by LRD because of RP's global prevalence, and its apparent intractability to all treatments except for palliative remediation mainly through drugs or surgery. Our main goal was to identify non-drug non-surgical treatments that would 1) prevent the occurrence, or 2) reduce the progression rate, or 3) stop the progression, or 4) maybe even reverse the progression, of RP. Our secondary goal was to compare our ODS LRD approach to the RP problem with other investigators who have addressed the RP problem since Swanson's pioneering 1986 ODS LRD paper on potential RP treatments [D.R. Swanson, Fish oil, Raynauds syndrome, and undiscovered public knowledge, Perspectives in Biology and Medicine 30 (1) (1986) 7-18].We used Medline from 1965-1985 to identify potential discovery for RP. We differ from all the other authors who have addressed this problem in two major respects: we make no numerically-based filtering assumptions, and we generate substantial potential discovery (∼ 130 potential discoveries). Further, we believe our reported results are the tip of the iceberg. Much more potential discovery is possible with an adequately resourced study using the lessons learned from this demonstration study and the other demonstration studies that follow in this Special Issue.     

广东高职院校文献检索课网络教学系统建设

该文根据课题调查的数据分析了当前广东高职院校文检课的现状以及面对的主要问题及其原因,提出制作网络信息检索教学系统来解决的方法。     

我国旅游电子商务研究新进展述评

近年来,随着信息技术的不断进步,电子商务在旅游业中的应用范围越来越广泛,应用模式越来越多元。基于中国期刊全文数据库文献,以“旅游电子商务”为主题进行检索,梳理了2009年1月至2013年12月的254篇相关文献,并选取其中的百余篇代表性文献进行了分析。将旅游电子商务研究内容划分为7大类,即现状与对策研究、技术和工具研究、ICT与目的地系统研究、旅游企业电子商务应用研究、旅游网站研究、旅游消费者行为研究和旅游电子商务教育研究,并逐类进行了简要述评。     

浅谈信息检索

信息检索(Information Retrieval)又称为情报检索,起源于图书馆的参考咨询和文摘索引工作,20世纪50年代,成为一条专用术语。本文对信息检索的概念和研究内容进行了探讨,并指出了当前的研究热点,分析了信息检索的作用。     

采用图像处理的跳频信号参数盲估计

针对短波复杂信道环境下的跳频信号参数估计问题,提出了一种基于图像处理的跳频信号参数盲估计算法。该算法在时频分析的基础上采用灰度共生矩阵提取信号的纹理特征,通过对纹理特征量的分割实现信号与背景噪声的分割,并运用形态学滤波去除二值化后产生的椒盐噪声;然后根据连通区域标记得到的各个信号在时频图中的位置信息来聚类,从而去除定频、突发等干扰信号,分选出跳频信号;最后根据分选出的跳频信号提取其跳频频线并进行修正,估计出跳频信号的跳周期、跳变时刻和跳频频率。仿真实验表明,该算法切实有效,能够在较低的信噪比条件下精确地估计出跳频信号的参数。     

基于奇异值分解的多卫星信号盲检测

针对非合作低信噪比环境下的卫星通信信号检测问题,在信号子空间维数估计的基 础上,提出了一种基于奇异值分解的多卫星信号盲检测方法。该方法充分利用奇异值与特征 值之间的关系,设计检测统计量将多个信号能量集中起来进行考虑,以适应更低的信噪比, 并从理论上对检测性能进行了推导分析。仿真结果表明,该方法简单高效,针对不同的卫星 信号,在虚警概率小于1%、信噪比为-11 dB时,盲检测概率均可达90%以上;同时能够 在低信噪比环境下适应多信号环境,且其计算量相对特征值方法减少了一个数量级,更适合 应用在星载设备上。     

利用二次谱盲估计多速率DS/CDMA伪码周期

针对可变扩频长度(VSL)的多速率DS/CDMA信号伪码周期的盲估计问题进行了研究,将一般单速率直扩信号二次功率谱伪码周期估计的方法扩展到多速率DS/CDMA模型。该方法首先将接收的多速率DS/CDMA信号进行采样,并对其求一次功率谱,再将一次谱作为输入信号作傅里叶变换并取模、平方,从而得到信号的二次功率谱。通过推导证明,多速率DS/CDMA信号的二次功率谱在扩频码周期的整数倍处出现尖锐的谱线,且不同速率用户的二次谱线幅度是不同的,利用这些幅度差异区分不同速率并通过估计谱线之间的距离即可获得不同速率信号的伪码周期。仿真表明该算法在低信噪比下适用,在-15 dB能够利用较少数据同时估计多组速率的伪码周期。