Deficit in prepulse inhibition in mice caused by dietary n-3 fatty acid deficiency.

Docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) may be biosynthesized from a precursor α-linolenic acid (LNA) or obtained preformed in the diet. Dams were fed four diets with different levels of the various n-3 fatty acids during pregnancy and lactation, and their offspring were weaned to the same diets: “n-3 Deficient,” containing (as % total fatty acids) 0.07% of LNA; “Low LNA” (0.4%); “High LNA” (4.8%); and a “DHA + EPA” diet, containing 0.4% of LNA, 2% DHA, and 2% EPA. Sensorimotor gating was measured by prepulse inhibition (PPI) of the acoustic startle response in C57Bl6 mice. The n-3 Deficient and Low LNA diets caused a substantial deficit in PPI compared to the DHA + EPA diet, whereas the High LNA diet induced a less pronounced, but significant reduction of PPI. These are the first data that demonstrate a deficit in sensorimotor gating in rodents caused by an inadequate amount of the n-3 fatty acids in the diet. Our results differentiate the effects of a High LNA diet from one with added EPA and DHA even though the difference in brain DHA content is only 12% between these dietary groups. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于PPI协议的PLC网络系统设计

介绍了基于PPI协议通过网络读写命令实现PLC 网络控制系统的方案,阐述了周期I/O方式的工作原理,结合实例给出网络配置及连接方法,并在此基础上叙述了软件的编程。设计的系统具有较大的灵活性和良好的可扩展性。     

A fast iterative-clique percolation method for identifying functional modules in protein intreaction networks

Accumulating evidence suggests that biological systems are composed of interacting, separable, functional modules—groups of vertices within which connections are dense but between which they are sparse. Identifying these modules is likely through capturing the biologically meaningful interactions. In recent years, many algorithms have been developed for detecting such structures. These algorithms, however, are computationally demanding, which limits their applications. In this paper, we propose a fast iterative-clique percolation method (ICPM) for identifying overlapping functional modules in protein-protein interaction (PPI) networks. Our method is based on clique percolation method (CPM), and it not only considers the degree of nodes to minimize the search space (the vertices in k-cliques must have the degree of k     

高速PPI光栅扫描显示系统坐标转换设计与实现

用光栅扫描实现 PPI雷达显示时 ,存在着从极坐标到直角坐标方式转换的问题。传统的坐标转换方法不适合现代雷达高速 ,高精度的要求 ,因此提出了一种新的方法——完全查表法 ,其方法能完成特殊用途的高速雷达刷新速度 ,以及保证雷达显示系统的显示精度。完全查表方法设计的电路已成功应用于某型号 PPI雷达显示器中。     

PPI网络的改进马尔科夫聚类算法

蛋白质相互作用(PPI)网络是生物信息学的一个新的研究领域。近年来马尔科夫(MCL)聚类算法在未知蛋白质的功能模块预测方面发挥了重要作用,但是聚类质量不高,为此提出了一种基于突变因子和惩罚因子及重新定义解释聚类结果的MCL聚类算法。该算法采用惩罚因子,惩罚质量较大的吸引子;采用突变因子在算法后期断绝初始转移概率对转移概率的束缚。算法在PPI网络数据集上进行了测试,结果表明该算法不但可以抑制小类的产生,而且聚类结果的质量在Avg.F方面相对于基本MCL算法提高了13.1%。     

基于BF561便携式系统显示终端的实现

构建了基于BF561的便携式通用图像处理平台,实现视频信号的实时接收与显示,能够接收标准BT.656数字视频信号,并对实时视频信号进行YUV到RGB格式转换,通过配置PPI接口和DMA通道在TFT-LCD真彩液晶屏上实时显示。并阐述了静态视频显示及动态视频显示的实现流程。     

基于西门子S7-200的电动窗控制系统

采用S7—200PLC建立PPI网络,并使用组态软件组态王与PPI网络中的主站进行通信,实现对某大楼电动窗进行监控的PLC分布式系统。从控制要求、硬件系统结构、编程和组态等方面对系统进行了详细介绍。实践表明：通过这种方式建立的PLC监控网络,结构简单,经济性较好,有一定的参考价值。     

基于改进的PSO算法的关键蛋白质识别方法研究

关键蛋白质是生物体内维持所有生命活动最重要的物质基础。随着高通量技术的发展,如何从蛋白质相互作用网络中识别出关键蛋白质成为目前蛋白质组学的研究热点。针对大部分现有方法仅仅基于网络拓扑结构信息进行识别以及蛋白质相互作用数据假阳性高的问题,提出了改进的粒子群算法来识别关键蛋白质。通过综合考虑网络拓扑结构特性和多源生物属性信息构建了高质量的加权网络,还考虑使用蛋白质节点间联系的紧密程度来衡量蛋白质的关键性,并扩展局部网络拓扑至二阶邻居,大大提高了预测的准确率。提出了衡量top-p关键蛋白质的整体性指标,降低了计算复杂度。在标准数据集上的实验结果表明,与其他经典算法相比,所提算法更具优势,能够识别出更多的蛋白质,具有较高的准确率。     

Mass spectrometry based proteomics as foodomics tool in research and assurance of food quality and safety

BackgroundAs a comprehensive discipline that studies food and nutrition, foodomics requires reliable qualitative and quantitative information about the food proteome component in order to extract new integrative information from the complex multivariable space of omics. This new information is necessary to achieve a higher level of understanding of processes in food science and technology, consequently new functions of food and improved markers of food quality and safety and completely transform concept of food safety.Scope and approachWe are making an effort to present mass spectrometry (MS) based proteomic approaches that are being utilized in different proteomic studies, not necessarily in the field of foodomics, which are important and have the potential to advance this field. Current analytical capabilities of MS-based proteomics together with sample preparation procedures and quantification strategies, and recent technical developments were presented.Key findings and conclusionsMS-based proteomics enables the analysis of different aspects of proteins and provides a variety of approaches for reliable quantification of individual proteins and/or food proteome. This is a complex field and its successful implementation requires a dedicated analyst, a thorough design of sample preparation procedure, the selection of an MS technique and approach, an adequate type of mass spectrometer, a thorough data analysis and validation. Improvements in the technology of mass spectrometers are continuously expanding capabilities of MS-based proteomics.     

依存信息在蛋白质关系抽取中的作用

基于核函数的蛋白质关系(PPI)抽取可以捕获结构化信息,取得了较高的性能,但其计算复杂度过高。该文结合词汇、句法等信息,重点探讨了依存信息对基于特征向量的蛋白质关系(PPI)抽取的影响。在多个PPI语料库上的实验表明,依存信息和基本短语块信息可以有效提高基于特征向量的PPI抽取性能。特别要指出,在AIMed语料上的PPI抽取取得了54.7的F测度,是目前基于特征向量的PPI抽取系统的最好水平。