Group consensus for multiple networked Euler-Lagrange systems with parametric uncertainties

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain parameters.In the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus problem.It is shown that the group consensus is reachable even when the system contains the uncertain parameters.Furthermore,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is considered.Simulation results are finally provided to validate the effectiveness of the theoretical analysis.     

轨道动力学可视化仿真研究

研究了在机车车辆一轨道耦合动力学视景仿真系统中，轨道系统动态行为仿真的逼真性和实时性问题，提出了一种能准确模拟轨道系统振动行为的有限长轨道单元法，考虑到钢轨以梁的形式参与振动的实质，通过实时建立具有一定垂向、横向和扭转振动形态的钢轨模型来模拟钢轨的振动行为。仿真结果表明，在保证优良的实时性的同时，利用该方法不仅可以建立更加符合实际的轨道模型，而且还能真实地模拟轨道子系统各组成部件的各种特殊振动行为。     

Image separation using wavelet-complex shearlet dictionary

This paper presents a new method for image separation through employing a combined dictionary consisting of wavelets and complex shearlets. Because the combined dictionary sparsely represents points and curvilinear singularities respectively, the image can be decomposed into pointlike and curvelike parts as accurate as possible. The proposed method based on the geo- metric separation theory introduced by Donoho in 2005 shows that accurate geometric separation of the morphologically distinct fea- tures of points and curves can be achieved by l1 minimization. The experimental results show that the proposed method can not only be effective but also greatly reduce the computing time.     

粒度组成对KR搅拌头用浇注料性能的影响

以Andreassen颗粒紧密堆积理论为基础,研究KR搅拌头外衬莫来石浇注料临界粒度和粒度组成对其密度、强度和热震稳定性的影响.结果表明,随着临界粒度的增大,浇注料干燥和烧结后冷态密度与强度均明显提高;临界粒度一定时,粒度组成对浇注料冷态密度、强度以及热震稳定性的影响基本一致,但临界粒度不同的浇注料试样达到最佳性能所对应的粒度组成并不完全相同;与冷态性能相比,浇注料热震稳定性受临界粒度的影响较小.     

基于神经网络技术自动筛选Monastrol抑制剂的算法研究

带自动荧光显微镜的HCS（high content screening）系统是一种新兴的显微摄影、筛选和处理系统.HCS系统在摄影过程中会产生大量数据,人工筛选和识别费时费力.本文为了进行Monastrol抑制剂的筛选,基于前馈式神经网络技术研究了一种对HCS系统摄影的大量细胞同时进行特征提取和细胞显型识别的自动算法.在得到各个通道分离的图像后,对不同通道图像进行并行预处理,并采用神经网络和逻辑运算相结合的算法进行处理.我们将该方法运用于Monastrol抑制剂的筛选中,并将结果与人工识别结果进行分析比较.相比较前人提出的multi-phenotypic mitotic analysis（MMA）算法自动识别的正确率得以提高,可更好评估抗癌药剂效用.     

实时定量PCR检测B细胞恶性肿瘤中BCL11A基因的表达水平

目的:建立B细胞淋巴瘤/白血病BCL11A基因的定量检测方法,并分析其在B细胞恶性肿瘤中的表达水平。方法:利用实时定量RT-PCR分析B细胞淋巴瘤(18例)、B细胞性慢性淋巴细胞白血病(B-CLL,8例)、T细胞性急性淋巴细胞白血病(T-ALL,8例)和正常对照(15例)外周血单个核细胞(PBMC)中BCL11A基因的表达水平,以甘油醛-3-磷酸脱氢酶(GAPDH)基因作为内对照。结果:B-CLL组和B细胞淋巴瘤组患者PBMC中BCL11A表达水平均明显高于正常对照(P=0.000)和T-ALL组(P=0.000);T-ALL组和正常对照组BCL11A表达水平无显著差别(P=0.084);B-CLL组和B细胞淋巴瘤组BCL11A表达水平无显著差别(P=0.776)。在B细胞淋巴瘤不同的病例中,BCL11A表达水平有较大差异,其中最小值为0.04,最大值为9.70,中位值为1.00。结论:成功建立BCL11A基因的定量检测方法。     

信号交叉口人机混驾交通流速度控制策略建模

为分析人机混驾交通流下网联自动驾驶车辆（connected and autonomous vehicles,CAV）速度控制策略对交通流运行特征的影响,构建了考虑驾驶员对行车信息获取不确定性的人工驾驶车辆交叉口通行决策模型。提出考虑前车速度影响的自动驾驶速度控制策略,构建信号交叉口连续型元胞自动机更新规则,通过引入不同CAV渗透率、道路饱和度、控制区长度参数,研究CAV速度控制策略对信号交叉口交通流运行特征的影响。结果表明：CAV能显著提高交叉口通行能力,且车流通过交叉口区域的延误显著降低;同时速度控制策略的实施效果还受控制区长度的影响,呈现出随着控制区长度的增加,车均延误逐渐降低并趋于稳定。     

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and approximately 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P = 5.0 x 10(-14)), CDC123-CAMK1D (P = 1.2 x 10(-10)), TSPAN8-LGR5 (P = 1.1 x 10(-9)), THADA (P = 1.1 x 10(-9)), ADAMTS9 (P = 1.2 x 10(-8)) and NOTCH2 (P = 4.1 x 10(-8)) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.     

Price–Dividend Ratios and Stock Price Predictability

A long‐standing puzzle to financial economists is the difficulty of outperforming the benchmark random walk model in out‐of‐sample contests. Using data from the USA over the period of 1872–2007, this paper re‐examines the out‐of‐sample predictability of real stock prices based on price–dividend (PD) ratios. The current research focuses on the significance of the time‐varying mean and nonlinear dynamics of PD ratios in the empirical analysis. Empirical results support the proposed nonlinear model of the PD ratio and the stationarity of the trend‐adjusted PD ratio. Furthermore, this paper rejects the non‐predictability hypothesis of stock prices statistically based on in‐ and out‐of‐sample tests and economically based on the criteria of expected real return per unit of risk. Copyright © 2011 John Wiley & Sons, Ltd.