基于贪婪策略的紧密k核子图查询

k核查询是一种社团查询,由于其可以在线性时间内被有效计算,因此在社团检测中具有较广泛的应用。图中边的权值在很多场景下具有较强的语义关系,但现有研究较少考虑图中边的权值。为提升k核查询的效率,在k核的基础上定义加权图中的紧密k核子图查询（CRKSQ）问题,并使用归约方法证明该问题是NP-难的。基于贪婪策略设计启发式算法CRK-G,通过迭代删除节点为CRKSQ问题找到一个近似解。在此基础上,从降低图规模和减少迭代次数两方面研究CRK-G算法的优化策略,分别提出使用图压缩策略的算法CRK-C及使用单次多节点删除策略的算法CRK-F。在Bio-GRID、Email-Enron、DBLP 3个数据集上的实验结果表明,相对于CRK-G算法,CRK-C、CRK-F算法在查询速度上有较大的提升,且平均误差均在8%以内。     

CUSUM Control Charts for the Monitoring of Zero‐inflated Binomial Processes

Zero‐inflated probability models are used to model count data that have an excessive number of zeros. These models are mostly useful in modeling high‐yield or health‐related processes. The zero‐inflated binomial distribution is an extension of the ordinary binomial distribution that takes into account the excess of zeros. In this paper, one‐sided cumulative sum (CUSUM)‐type control charts are proposed for monitoring increases or decreases in the parameter p of a zero‐inflated binomial process. The results of an extensive numerical study concerning the statistical design of the proposed schemes as well as their practical implementation are provided. Copyright © 2015 John Wiley & Sons, Ltd.     

不同预冷温度对甜樱桃果实保鲜效果的影响

目的 探究不同预冷温度对采后甜樱桃果实生理品质的影响,找出最适宜的预冷温度,进而推动甜樱桃产业化发展。方法 本实验分别将采后甜樱桃分别预冷至15、12、9、6、3、0℃后回温至室温,以不进行预冷处理为对照组,比较6种处理方式果实预冷和回温过程中的温度变化,并分别测定回温前后果实的色差、呼吸强度及乙烯释放量、硬度、可溶性固形物(TSS)、风味、感官评价,总酚、类黄酮、花色苷、维生素C(Vc)、可溶性蛋白、丙二醛(MDA)含量以及超氧阴离子产生速率(O₂^-)。结果不同预冷温度均可较好地保持果实外观及风味,能够降低甜樱桃果实呼吸强度与乙烯释放量,抑制果实TSS、MDA含量和O₂^-产生速率的上升,延缓甜樱桃果实硬度的下降,从而保持甜樱桃果实的外观品质,且有利于维持甜樱桃果实中的Vc、可溶性蛋白和花色苷含量,以0℃预冷效果最佳,感官评分最高。结论 预冷能够有效维持甜樱桃果实采后的品质,达到增加甜樱桃果实经济价值的作用。     

微博走进公安工作

微博这种新兴的网络交流方式越来越受到公众的关注,正在成为继博客之后网民们相互交流的新平台,这种集发布信息、互动交流于一体的网络工具也为公安机关所关注,各级公安机关纷纷对公安微博表现出了极大的热情,给新形势下的公安工作带来了新的契机。公安机关开设微博可以带来以下好处:首先,公安微博拉近了警民距离,提高了警察自身的公信力;其次,公安微博能使公安机关站在信息发布的制高点,及时消除谣言,还原真相;最后,公安微博能为侦查提供线索,为破案开辟新思路。总之,公安微博的开辟为公安工作带来了可喜的变化,小小的"微博110"正在为社会的稳定,人民的安居乐业贡献自己的力量。     

信息检索中相关实体发现综述

实体是Web页面中的重要信息载体,用户通过搜索引擎进行信息检索中时一般想得到某个具体的实体,而不是某些文档的列表,因而信息检索中的相关实体发现研究就具有非常重要的意义。对信息检索中的相关实体发现的基本过程进行了综述,重点描述了相关实体发现的重要组成部分:全文检索、实体识别、实体分级,主页查找及其各部分所涉及到的关键问题。     

基于线性组合文本特征选择方法*

当前,常用文本分类特征选择算法主要通过某种评价函数来计算单个特征对类别的区分能力,由于仅考虑了特征和类别之间的关联性,忽略了特征与特征之间的相关性,从而导致特征集存在冗余。针对这一问题,本文提出了一种新的用于文本分类的特征选择算法,该算法可以帮助选出类别区分能力强,特征之间关联性弱的特征。实验证实,该算法的性能要优于传统的特征选择算法。     

Visual Foxpro中防止关联数据库的不彻底数据更新

提出如何利用 TTS技术防止关联数据库关联更新的不彻底 ,并以一个实例对其实现过程进行了具体的说明。     

A proteome analysis of the dorsolateral prefrontal cortex in human alcoholic patients

Alcoholic patients commonly experience cognitive decline. It is postulated that cognitive dysfunction is caused by an alcohol-induced region-selective brain damage, particularly to the prefrontal region, and grey and white matter may be affected differently. We used a proteomics-based approach to compare protein expression profiles of the dorsolateral prefrontal cortex (Brodmann area 9 (BA9)) from human alcoholic and healthy control brains. Changes in the relative expression of 110 protein 'spots' were identified in the BA9 grey matter, of which 54 were identified as 44 different proteins. In our recent article, 60 protein spots were differentially expressed in the BA9 white matter and 18 of these were identified (Alexander-Kaufman, K., James, G., Sheedy, D., Harper, C., Matsumoto, I., Mol. Psychiatry 2006, 11, 56-65). Additional BA9 white matter proteins are identified here and discussed in conjunction to our grey matter results. Thiamine-dependent enzymes transketolase and pyruvate dehydrogenase (E1β ubunit) were among the proteins identified. To our knowledge, this is the first time a disruption in thiamine-dependent enzymes has been demonstrated in the brains of 'neurologically uncomplicated' alcoholics. By identifying protein expression changes in prefrontal grey and white matter separately, hypotheses may draw upon more mechanistic explanations as to how alcoholism causes the structural alterations associated with alcohol-related brain damage and cognitive dysfunction.     

人尿中活性物质的开发

本文叙述了近年来人尿中活性物质的开发状况,列举了从人尿中提取的11种生物药品及其应用,并提出今后发展的方向。     

Expression of high-molecular-mass neurofilament protein in horse (Equus caballus) spinal ganglion neurons

Spinal ganglion (SG) neurons are subdivided, on the basis of their cytoplasmic aspect at light and electron microscopy, into dark (D) and light (L) neurons. Numerous efforts have been made to find specific markers able to identify D and L neuronal cytotypes. The isolectin B4 (IB4), utilized to identify nonpeptidergic D neurons in mice, unfortunately, has not proved as effective in other species. The 200-kDa neurofilament protein (NF200) is considered as a typical marker of L neurons in the rat, cat, and chick. The aim of this study was to analyze the histological, morphometric, and neurochemical characteristic of NF200-immunoreactive (IR) horse SG neurons, to better characterize them morphologically and functionally. NF200-IR neurons showed two levels (strong and weak) of staining intensity. Most (84%) strongly stained NF200-IR neurons corresponded to L neurons, and showed similar bimodality as in the size distribution study, which seems to indicate a third population of neurons, in addition to the two populations (small and large) previously identified. In triple-staining experiments where NF200 was colocalized with IB4, substance P (SP), and neuronal nitric oxide synthase (nNOS) neuronal markers, most NF200-IR neurons were single stained. On the contrary, most IB4-, SP-, and nNOS-stained neurons were triple labeled and almost equally subdivided between strong and weak NF200-IR with the latter being always smaller in size than strong NF200-IR neurons. In conclusion, horse SG neurons display significant morphometric and neurochemical differences compared with those of rodents.