WDR34 is a novel TAK1-associated suppressor of the IL-1R/TLR3/TLR4-induced NF-κB activation pathway

Toll-like receptors (TLRs) act as sensors of microbial components and elicit innate immune responses. All TLR signaling pathways activate the nuclear factor-kappaB (NF-κB), which controls the expression of inflammatory cytokine genes. Transforming growth factor-β-activated kinase 1 (TAK1) is a serine/threonine protein kinase that is critically involved in the activation of NF-κB by tumor necrosis factor (TNFα), interleukin-1β (IL-1β) and TLR ligands. In this study, we identified a novel protein, WD40 domain repeat protein 34 (WDR34) as a TAK1-interacting protein in yeast two-hybrid screens. WDR34 interacted with TAK1, TAK1-binding protein 2 (TAB2), TAK1-binding protein 3 (TAB3) and tumor necrosis factor receptor-associated factor 6 (TRAF6) in overexpression and under physiological conditions. Overexpression of WDR34 inhibited IL-1β-, polyI:C- and lipopolysaccharide (LPS)-induced but not TNFα-induced NF-κB activation, whereas knockdown of WDR34 by a RNA-interference construct potentiated NF-κB activation by these ligands. Our findings suggest that WDR34 is a TAK1-associated inhibitor of the IL-1R/TLR3/TLR4-induced NF-κB activation pathway. D. Gao and R. Wang contributed equally to this work.     

Dual hesitant fuzzy information aggregation with Einstein t-conorm and t-norm

Dual hesitant fuzzy set (DHFS) is a new generalization of fuzzy set (FS) consisting of two parts (i.e., the membership hesitancy function and the non-membership hesitancy function), which confronts several different possible values indicating the epistemic degrees whether certainty or uncertainty. It encompasses fuzzy set (FS), intuitionistic fuzzy set (IFS), and hesitant fuzzy set (HFS) so that it can handle uncertain information more flexibly in the process of decision making. In this paper, we propose some new operations on dual hesitant fuzzy sets based on Einstein t-conorm and t-norm, study their properties and relationships and then give some dual hesitant fuzzy aggregation operators, which can be considered as the generalizations of some existing ones under fuzzy, intuitionistic fuzzy and hesitant fuzzy environments. Finally, a decision making algorithm under dual hesitant fuzzy environment is given based on the proposed aggregation operators and a numerical example is used to demonstrate the effectiveness of the method.     

面向互联网的信息处理

随着互联网海量信息的快速增长,由原来单一的以文本信息为主的信息处理发展成文本、语音、图像等多模态的信息处理．同时,用户的需求也从关键词搜索为主的信息获取向着基于语义理解的自动问答、辅助决策等智能交互的方向发展．本文从互联网服务信息处理特点以及用户需求变化出发,阐述了互联网信息处理面临的挑战和发展趋势．首先介绍了基于互联网的海量信息处理特点以及基本方法,然后分别阐述了互联网文本信息处理、语音信息处理、图像信息处理、位置信息处理的挑战以及发展趋势．最后介绍了如何对互联网的用户从属性、状态、兴趣3个维度进行建模,以满足用户个性化服务和商业分析的需要．     

基于Delphi扫描线技术的快速图像处理

传统的图像处理一般采用像素点赋值的方法,处理速度极慢,对于大型图像几乎无能为力,而Delphi扫描线方法是对图像的每一行进行扫描,获得各像素的内存地址.这种内存操作比常规的像素点赋值效率高很多,从而可以大大提高大型位图图像的处理速度.     

鞅逼近与预解式表示收敛的几个定理

通过引入平稳遍历Markov过程的鞅逼近和S_t(f)的预解式表示, 给出并证明了S_t(f)存在鞅逼近当且仅当预解式表示收敛, 对于Markov链有相应的公式化结果. 表明通过预解式构造平稳遍历Markov过程加性泛函的鞅逼近方法在此意义下具有普遍性.     

不同铆接速度下板材搭接顺序对钢/铝异种金属铆接接头性能的影响

采用自冲铆接实现了钢/铝异种金属的有效连接。通过改变铆接速度,对比研究了钢上铝下和铝上钢下两种搭接顺序下的接头的成形性能、断裂力和断裂方式。研究结果显示,随着铆接速度的增大,接头头高和底切量不断减小,互锁值不断增大。钢上铝下搭接顺序下的接头的成形情况较为稳定,缺陷较少。钢上铝下搭接顺序下的拉剪接头的断裂力明显高于铝上钢下搭接顺序下的拉剪接头的,而铝上钢下搭接顺序下的十字拉伸接头的断裂力明显高于钢上铝下搭接顺序下的十字拉伸接头的。铆钉变形时受力方向的不同导致拉剪接头的断裂力明显高于十字拉伸接头的。铆接速度为250～325 mm/s时,可以实现两种搭接顺序下的接头成形性能和断裂力的良好匹配。     

储热水箱分层特性的研究

储热水箱被广泛使用在太阳能集热系统以及家用电加热热水器中,是决定集热系统和热水器性能的关键因素之一,储热水箱分层效果的好坏决定了集热系统的效率及热水器的热水出水量.绘制了直接进口和三层孔板两种储热水箱结构图,通过设计试验系统,搭建储热水箱分层特性测试试验台,收集了两种结构水箱在相同的初始水温、不同流量时水箱各层温度随时间的变化数据并绘制成图.同时基于热力学定律,分析对比了相同进口结构、相同初始进出水温差取出效率随时间的变化.在初始温度50℃、流量为1.1和4.2 kg·min^-1的工况下,对比了不同结构的MIX数对储热水箱分层性能的影响.     

新型驱动器散热器散热性能仿真与优化

研究了新型驱动器散热器的散热性能,给出了基于微单元时变热交换系数的散热器三维流场及温度场数值求解方法,对散热器三维温度场进行了分析及计算.对比实验结果与数值计算结果表明:采用本方法求解散热器散热性能较热边界平均换热系数法具有更高的精度.以此为基础,通过对散热器的结构优化,可显著改善散热器的散热性能.     

Research on the self-defence electronic jamming decision-making based on the discrete dynamic Bayesian network

The manner and conditions of running the decision-making system with self-defense electronic jamming are given.After proposing the scenario of applying discrete dynamic Bayesian network to the decision making with self-defense electronic jamming,a decision-making model with self-defense electronic jamming based on the discrete dynamic Bayesian network is established.Then jamming decision inferences by the aid of the algorithm of discrete dynamic Bayesian network are carried on.The simulating result shows that this method is able to synthesize different targets which are not predominant.In this way,various features at the same time,as well as the same feature appearing at different time complement mutually;in addition,the accuracy and reliability of electronic jamming decision making are enhanced significantly.     

残留频偏条件下码辅助的迭代载波同步算法

LDPC编码系统,接收端在译码前需要对频偏和相差进行估计,使残留频偏和相差在译码器收敛的允许范围之内,但在低信噪比条件下,即使在收敛范围内,较大的残留频偏和相差也会对LDPC编码系统性能有明显的恶化,所以必须结合迭代译码系统,对信号的残留频偏和相差进行进一步的估计。基于EM算法推导了频偏联合相差的迭代估计算法,给出了一种简单有效的残留频偏估计方法,并以此为基础,结合LDPC迭代译码输出软信息的统计特性,提出了一种码辅助的迭代载波同步算法,仿真结果表明,只要残留频偏和相差在迭代估计器收敛范围内,提出的算法可以使LDPC编码系统的误比特率接近理想同步条件下的译码性能。