Isogeometric Least-Squares Collocation Method with Consistency and Convergence Analysis

Journal of Systems Science and Complexity - This paper presents the isogeometric least-squares collocation (IGA-L) method, which determines the numerical solution by making the approximate...     

The Impact of Competition on Analysts’ Forecasts: A Simple Agent-Based Model

Journal of Systems Science and Complexity - This paper builds an agent-based model to study the impact of analyst competition on analyst optimism. Two strategies (a catering strategy and a pressure...     

益气化瘀化痰法对肺纤维化大鼠肺组织结构及血清MMP-9、TIMP-1的影响

目的 观察益气化瘀化痰法(YHH)对肺纤维化大鼠肺组织结构、血清基质金属蛋白酶-9(MMPO)和金属蛋白酶组织抑制物-1(TIMP-1)水平的影响,探讨其防治肺纤维化的可能机制.方法 健康SD大鼠采用博来霉素建立肺纤维化模型,随机分成7组:正常对照组(Z组)、模型组(M组)、氢化可的松组(QK组)、益气组(YQ组)、化瘀组(HY组)、化痰组(HT组)、益气化瘀化痰组(YHH组).HE、Masson染色光镜观察肺组织病理形态变化;电镜观察肺组织超微结构变化;酶联免疫吸附法(ELISA)检测血清MMP-9、TIMP-1含量.结果 1)与M组比较,各治疗组均能减少肺间质胶原沉积,减轻肺纤维化程度,尤以YHH组较为明显2)与Z组比较,M组血清MMP-9水平有所升高,TIMP-1水平显著升高,MMP-9/TIMP-1比值降低(P＜0.05);与M组比较,各治疗组均能升高血清MMP-9水平,降低TIMP-1水平,升高MMP-9/TIMP-1比值,以YHH组作用更显著(P＜0.05).结论 益气化瘀化痰法可能在一定程度上通过调整MMP-9/TIMP-1的比值,使其趋于平衡,从而延缓肺纤维化的进程.     

Whole-genome sequence of Schistosoma haematobium

Schistosomiasis is a neglected tropical disease caused by blood flukes (genus Schistosoma; schistosomes) and affecting 200 million people worldwide. No vaccines are available, and treatment relies on one drug, praziquantel. Schistosoma haematobium has come into the spotlight as a major cause of urogenital disease, as an agent linked to bladder cancer and as a predisposing factor for HIV/AIDS. The parasite is transmitted to humans from freshwater snails. Worms dwell in blood vessels and release eggs that become embedded in the bladder wall to elicit chronic immune-mediated disease and induce squamous cell carcinoma. Here we sequenced the 385-Mb genome of S. haematobium using Illumina-based technology at 74-fold coverage and compared it to sequences from related parasites. We included genome annotation based on function, gene ontology, networking and pathway mapping. This genome now provides an unprecedented resource for many fundamental research areas and shows great promise for the design of new disease interventions.     

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.     

面向区域目标普查的卫星日常调度预处理

论述了面向区域目标普查的卫星日常调度问题的预处理过程。首先,在参考国外文献的基础上,提出了一种通用的全球参考系统的构建方法;之后根据区域目标地理位置,从全球参考系统中筛选出覆盖区域目标的候选单景,并利用STK获得卫星与候选单景、卫星与地面站的可见时间窗口,删除不满足需求条件的候选单景;然后为候选单景配置对应的优先级,并研究了动态优先级调整方法;最后通过预处理得到了日常调度的输入数据。     

固体推进剂中的裂纹扩展起始的数值分析

研究了含有裂纹和星孔的复合固体推进剂正交板的断裂问题.基于有限元软件ABAQUS,将固体推进剂当作粘弹性材料,沿着试件的上下表面施加均布位移载荷,利用J-积分法对含硬颗粒的橡胶基复合固体推进剂进行了非线性大变形仿真计算,详细分析了裂尖附近的局部力学行为和裂纹成长行为.将应变能密度理论与应力分析的结果相耦合,预测了裂纹起始与裂尖到星孔距离之间的关系.     

基于VR的某型防空火控训练模拟系统的设计与实现

针对某型防空火控系统在训练中存在训练场地受限、空情保障困难,缺乏训练评估的有效手段等问题,基于虚拟现实技术设计了半实物模拟训练系统.该系统以OpenGVS、MultiGenCreator、DirectS0und、VC 6.0为开发工具,利用1:5万数字地图的DEM数据生成三雏场景;建立了空袭兵器和防空武器的三维模型;运用碰撞检测、粒子系统等技术,模拟了飞机、直升机.巡航导弹等空袭兵器、炮弹和防空导弹飞行、爆炸等声光效果,构建了一个逼真的虚拟战场环境;探讨了系统的主要数学模型和采用的关键技术;实现了想定编辑、空情导引,战场环境生成,单兵器模拟训练、协同模拟训练和训练成绩评估等功能.     

基于CPA-OSELM的热轧带钢厚度在线预测

为解决自动厚度控制（automatic gauge control,AGC）系统反馈滞后、耦合强、厚度偏差大等问题,本文提出了一种基于食肉植物算法（carnivorous plant algorithm, CPA）的在线顺序极限学习机（online sequential extreme learning machine, OSELM）预测算法。首先,基于从现场采集的相关数据,建立了OSELM在线厚度预测模型。然后为了提高模型的准确性及稳定性,采用CPA方法优化OSELM的权重和偏置。在此基础上,运用自学习方法进一步提高模型的预测精度。最后,通过实验验证基于CPA-OSELM预测模型的有效性。实验结果表明：基于CPA-OSELM的方法能够对不同规格带钢的出口厚度进行高精度在线预测,预测结果可用于提升AGC模型的控制精度,为提升带钢产品质量奠定基础。     

基于特征选择的人物关系抽取方法

在人物关系抽取中,其特征空间维度往往非常高,会造成向量稀疏问题,从而影响关系抽取的效率。针对这一现象,首先将人物关系分为6类;然后引入了文档频率、信息增益、互信息和χ2统计这四种文本文类的特征选择算法,对特征空间进行降维。最后运用SVM分类器抽取人物的实体关系。实验结果表明这四种特征选择算法不仅能够保证抽取性能,还能有效的降低向量空间维数,极大提高关系抽取效率。其中,χ2统计算法效果最佳,信息增益次之。