Genome-wide association identifies a susceptibility locus for coronary artery disease in the Chinese Han population

Coronary artery disease (CAD) causes more than 700,000 deaths each year in China. Previous genome-wide association studies (GWAS) in populations of European ancestry identified several genetic loci for CAD, but no such study has yet been reported in the Chinese population. Here we report a three-stage GWAS in the Chinese Han population. We identified a new association between rs6903956 in a putative gene denoted as C6orf105 on chromosome 6p24.1 and CAD (P = 5.00 × 10?3, stage 2 validation; P = 3.00 × 10?3, P = 1.19 × 10?? and P = 4.00 × 10?3 in three independent stage 3 replication populations; P = 4.87 × 10?12, odds ratio = 1.51 in the combined population). The minor risk allele A of rs6903956 is associated with decreased C6orf105 mRNA expression. We report the first GWAS for CAD in the Chinese Han population and identify a SNP, rs6903956, in C6orf105 associated with susceptibility to CAD in this population.     

UPF based autonomous navigation scheme for deep space probe

The autonomous ＂celestial navigation scheme＂ for deep space probe departing from the earth and the autonomous ＂optical navigation scheme＂ for encountering object celestial body are presented. Then, aiming at the conditions that large initial estimation errors and non-Gaussian distribution of state or measurement errors may exist in orbit determination process of the two phases, UPF （unscented particle filter） is introduced into the navigation schemes. By tackling nonlinear and non-Gaussian problems, UPF overcomes the accuracy influence brought by the traditional EKF （extended Kalman filter）, UKF （unscented Kalman filter）, and PF （particle filter） schemes in approximate treatment to nonlinear and non-Gaussian state model and measurement model. The numerical simulations demonstrate the feasibility and higher accuracy of the UPF navigation scheme.     

Distributed localization for anchor-free sensor networks

Geographic location of nodes is very useful in a sensor network. Previous localization algorithms assume that there exist some anchor nodes in this kind of network, and then other nodes are estimated to create their coordinates. Once there are not anchors to be deployed, those localization algorithms will be invalidated. Many papers in this field focus on anchor-based solutions. The use of anchors introduces many limitations, since anchors require external equipments such as global position system, cause additional power consumption. A novel positioning algorithm is proposed to use a virtual coordinate system based on a new concept--virtual anchor. It is executed in a distributed fashion according to the connectivity of a node and the measured distances to its neighbors. Both the adjacent member information and the ranging distance result are combined to generate the estimated position of a network, one of which is independently adopted for localization previously. At the position refinement stage the intermediate estimation of a node begins to be evaluated on its reliability for position mutation; thus the positioning optimization process of the whole network is avoided falling into a local optimal solution. Simulation results prove that the algorithm can resolve the distributed localization problem for anchor-free sensor networks, and is superior to previous methods in terms of its positioning capability under a variety of circumstances.     

Common variants at CD40 and other loci confer risk of rheumatoid arthritis

To identify rheumatoid arthritis risk loci in European populations, we conducted a meta-analysis of two published genome-wide association (GWA) studies totaling 3,393 cases and 12,462 controls. We genotyped 31 top-ranked SNPs not previously associated with rheumatoid arthritis in an independent replication of 3,929 autoantibody-positive rheumatoid arthritis cases and 5,807 matched controls from eight separate collections. We identified a common variant at the CD40 gene locus (rs4810485, P = 0.0032 replication, P = 8.2 x 10(-9) overall, OR = 0.87). Along with other associations near TRAF1 (refs. 2,3) and TNFAIP3 (refs. 4,5), this implies a central role for the CD40 signaling pathway in rheumatoid arthritis pathogenesis. We also identified association at the CCL21 gene locus (rs2812378, P = 0.00097 replication, P = 2.8 x 10(-7) overall), a gene involved in lymphocyte trafficking. Finally, we identified evidence of association at four additional gene loci: MMEL1-TNFRSF14 (rs3890745, P = 0.0035 replication, P = 1.1 x 10(-7) overall), CDK6 (rs42041, P = 0.010 replication, P = 4.0 x 10(-6) overall), PRKCQ (rs4750316, P = 0.0078 replication, P = 4.4 x 10(-6) overall), and KIF5A-PIP4K2C (rs1678542, P = 0.0026 replication, P = 8.8 x 10(-8) overall).     

冰后回弹对南极地区冰盖质量变化影响的研究

全球海平面变化关系着人类的生存和发展,一直以来就是科学界重点关注的问题;而南极地区存储的冰是影响海平面变化最主要的因素。主要详细地阐述了冰后回弹的基本理论,以及利用GRACE重力数据计算冰后回弹的基本理论;并推导了相关的计算公式。最后,利用GRACE月重力场数据对冰后回弹和南极地区质量变化进行了试算。实验结果表明:南极地区冰后回弹效应范围为-0.987~20.3 mm/a;其中在极点附近的冰后回弹效应较强。     

旋转式能量回收设备孔道内部流动特性的研究

在海水淡化领域中,旋转式能量回收设备是一种高效的能量回收装置可以有效降低系统能耗。针对旋转式能量回收设备建立了二维非稳态数值模型,分析了设备孔道内部的流场拓扑结构,考察了配流盘转速和进流流速两种操作参数对旋涡演化过程和掺混率的影响。研究结果表明,旋涡的形成和演化过程会对孔道内的质量传递过程产生重要影响;旋涡的结构尺寸和涡旋强度会随着配流盘转速或进流流速的改变而发生变化。存在最佳的操作工况使得旋涡的结构尺寸最小和设备的掺混率最低。研究结果对于理解旋转式能量回收设备的孔道内部流场具有一定帮助。     

动力扰动下岩溶隧道突涌水渗流-应力-损伤试验研究

为探究不同距离下充水溶洞对岩溶隧道突涌水灾变演化的过程,基于扫描电子显微镜 SEM 对研究区的灰岩进行微观结构表征分析,再采用岩石破裂过程分析软件 RFPA2D-Flow 建立数值模型,模拟不同距离溶洞对隧道开挖的影响。试验结果表明：通过 SEM 观察发现,灰岩矿物内部晶体颗粒分布不均匀,形状不规则,存在溶蚀孔隙较为发育。隧道在开挖扰动过程中,不同距离下溶洞对隧道围岩破坏过程影响显著,当相对距离 1 m 时,溶洞周围围岩单元损伤最严重,2 m 时次之,处于临界状态,3 m 时最小。整个开挖过程大致可分为三个阶段：压密阶段、裂缝扩展阶段、失稳破坏阶段。根据 AE 计数与 AE 总能量的趋势变化,可以清晰反映出在隧道突涌水的灾变演化情况。研究成果对富水岩溶隧道突涌水的防预和处治提供给理论指导。     

物理层网络编码与卷积信道编码相融合的无线通信方案

信号不同步是物理层网络编码研究中的热点,为了提高系统的信道容量和鲁棒性,针对异步通信条件下误码率高的难题,提出一种物理层网络编码与卷积信道编码相融合的无线通信方案.首先将置信传播算法引入到中继节点编码中,然后将信道译码和物理层网络编码联合起来,减少异步通信带来的不利影响,最后采用仿真实验测试其有效性和优越性.仿真实验结果表明,相对于其它编码方案,物理层网络编码与卷积信道编码方案不仅降低了数据传输的误码率,提高了系统通信的可靠性和信息传输速率,而且增强了系统对相位偏移和符号偏移的鲁棒性,具有更高的实际应用价值.     

新型N,N′,O,O′-Salen Mn(III)催化剂的制备及在烯烃环氧化反应中催化性能的研究

通过邻胺基苯酚与二醛或二酮反应制备了4种新型的N,N′,O,O′-Salen配体,再利用配体与Mn(Ac)2·2H2O配位反应合成新型Salen-Mn催化剂C1,C2,C3,C4,用FT-IR,UV-Vis和配位滴定法等方法对催化剂进行了表征;利用高斯03软件（Hartree-Fock/3-21G）对各种配体的结构进行了优化;考察了4种催化剂在环氧化反应中的催化性能.从催化结果可以看出：新型催化剂的催化活性与结构有关,其中新型催化剂C1与传统催化剂C5结构相似,在环氧化反应中都具有良好的催化活性,而新型催化剂C2,C3,C4的催化活性相对弱很多.     

基于改进支持向量回归的联合指纹定位算法

该文针对复杂的室内环境下,传统的RFID室内定位技术获得的接收信号强度特征向量维数较低,不能充分描述环境信息,无法获得良好的定位效果的问题,基于联合指纹提出一种鲁棒性强的高精度室内定位算法。该算法首先从RFID阅读器接收到的信号中提取信号强度和相位差数据,建立指纹库。然后利用凹函数递减策略改进PSO算法,优化SVR模型训练样本数据,建立参考标签的指纹特征和其与阅读器距离的映射关系。最后利用改进PSO算法迭代寻优,从而提高室内定位精度和鲁棒性。在仿真中,将该算法与GA-SVR和PSO-SVR算法进行比较,分析了不同指纹数据集和噪声对定位性能的影响。仿真结果表明,在相同指纹数据集和环境下,该算法的定位精度和系统稳定性均优于其他两种算法。