大数据营销:综述与展望

随着追踪消费者足迹能力的增强,营销科学正经历着一场大数据的革命.为了了解大数据背景下消费者行为和营销战略的改变,此项研究结合近十余年大数据营销的有关文献,梳理了大数据营销的相关概念,类型及分析方法,并提炼出搜索、移动、口碑、数字化、APP和社会媒体等50个大数据营销的热门主题.在此基础之上,分别从互联网、社会网络、移动互联网、大数据和人工智能等四个阶段对大数据营销的研究进展进行回顾,最后围绕客户旅程,营销活动的量化评估和营销分析技术的开发三个方面对大数据营销的未来研究方向进行展望.     

基于Rogowski线圈的新型甲烷传感器抗干扰性研究

在对传统的甲烷传感器进行应用与分析基础上,介绍了一种基于Rogowski线圈新型甲烷传感器。经过理论分析建立了该传感器数学模型,在现场实际应用中针对新型甲烷传感器干扰信号来源,对新型甲烷传感器抗干扰能力进行了理论分析以及实际信号处理设计。     

Vaults and the major vault protein: Novel roles in signal pathway regulation and immunity

The unique and evolutionary highly conserved major vault protein (MVP) is the main component of ubiquitous, large cellular ribonucleoparticles termed vaults. The 100 kDa MVP represents more than 70% of the vault mass which contains two additional proteins, the vault poly (ADP-ribose) polymerase (vPARP) and the telomerase-associated protein 1 (TEP1), as well as several short untranslated RNAs (vRNA). Vaults are almost ubiquitously expressed and, besides chemotherapy resistance, have been implicated in the regulation of several cellular processes including transport mechanisms, signal transmissions and immune responses. Despite a growing amount of data from diverse species and systems, the definition of precise vault functions is still highly complex and challenging. Here we review the current knowledge on MVP and vaults with focus on regulatory functions in intracellular signal transduction and immune defence. Received 27 June 2008; received after revision 25 July 2008; accepted 30 July 2008     

紫外分光光度法-人工神经网络在4种嘌呤同时测定中的应用

将紫外分光光度法与人工神经网络相结合, 在波长200～300　nm不经分离同时测定腺嘌呤、 黄嘌呤、 次黄嘌呤和鸟嘌呤的混合物. 讨论了pH值对体系的影响, 并对网络参数进行选定. 方法简便、 快速, 相对标准偏差小于3.7%.     

单向白蛋白透析滤过对模拟肝衰竭患者血浆的净化作用

目的:观察单向白蛋白透析滤过技术对模拟肝衰竭患者血浆的净化作用.方法:利用单向白蛋白透析滤过或持续性静-静脉血液透析滤过处理含有一定浓度代谢产物的血浆,检测治疗前后血浆中胆红素,胆汁酸,氨,尿素和肌酐浓度,并利用SPSS 10.0软件进行统计学分析.结果:单向白蛋白透析滤过可显著降低血浆胆红素水平,而持续性静-静脉血液透析滤过对胆红素水平无显著影响.胆汁酸的降低幅度在单向白蛋白透析滤过组显著高于持续性静-静脉血液透析滤过组.两种方法对水溶性代谢产物氨、尿素和肌酐的清除作用相似.结论:单向白蛋白透析滤过清除血浆中白蛋白结合物质的作用强于持续性静-静脉血液透析滤过,对水溶性物质的清除,二者作用相似.     

岛型工程场地在地震波荷载下的动力响应分析

基于三维显式有限元算法并结合粘弹性人工边界条件,针对某岛型大型工程场地,研究了岛型地质、地形条件对地震动反应的影响,分析了该工程场地地表地震动峰值加速度的分布规律。在对该工程场地进行地震动小区划的基础上,分析了不同区的地表加速度反应谱特性。研究结果为该大型工程场地上建筑及设备布置的地震安全性评价提供参考。     

Interaction model of artificial fish in virtual environment

Conventional artificial fish has some shortages on the interaction with environment, other fish, and the animator. This article proposes a multi-tier interaction control model of artificial fish, realizes the interaction model through integration of virtual reality technology and Markov sequence, and provides a virtual marine world to describe the interaction between artificial fish and the virtual environment and the interaction between the artificial fish and the animator. Simulation results show that the interaction model owns not only the basic characteristics of virtual biology, but also has high trueness interaction function.     

Olfactory ensheathing cells are attracted to, and can endocytose, bacteria

Olfactory ensheathing cells (OECs) have been shown previously to express Toll-like receptors and to respond to bacteria by translocating nuclear factor-kappaB from the cytoplasm to the nucleus. In this study, we show that OECs extended significantly more pseudopodia when they were exposed to Escherichia coli than in the absence of bacteria (p=0.019). Co-immunoprecipitation showed that E. coli binding to OECs was mediated by Toll-like receptor 4. Lyso-Tracker, a fluorescent probe that accumulates selectively in lysosomes, and staining for type 1 lysosome-associated membrane proteins demonstrated that endocytosed FITC-conjugated E. coli were translocated to lysosomes. They appeared to be subsequently broken down, as shown by transmission electron microscopy. No obvious adherence to the membrane and less phagocytosis was observed when OECs were incubated with inert fluorescent microspheres. The ability of OECs to endocytose bacteria supports the notion that OECs play an innate immune function by protecting olfactory tissues from bacterial infection.     

A kind of Generalized Learning Model

1　IntroductionSymboliclearning,connectivelearning,fuzzylearningandevolutionarylearningarethepresentfundamentalmethodsformachinelearning[1～3].Eachofthemhascharacteristicsandadvantages,andcancarryoutmachinelearningtasksincertainregioneffectively.Howe...