假塑性流体液滴撞击壁面上的铺展的格子Boltzmann模拟

流体液滴在壁面上的铺展与沉积在工业应用中存在广泛应用,研究非牛顿流体特性对液滴铺展的影响具有重要的实际意义。基于相场法建立了非牛顿幂律流体与牛顿流体的两相流格子Boltzmann模型,引入包括接触角影响的边界条件,模拟了假塑性流体在幂律指数（n）0.5~1.0以及韦伯数（We）5~45时液滴撞击壁面的铺展过程。结果表明：相对于牛顿流体,幂律流体的非牛顿特性会抑制液滴的铺展,且n越小,越有利于液滴沉积。此外,韦伯数越大,液滴越快地达到稳定。     

基于统计特性差异的距离多假目标识别技术

提出了一种基于角度量测统计特性差异的雷达距离多假目标欺骗干扰识别方法。首先针对传统的角度量测卡方检验方法容易将相同角度分辨单元内的多个真实目标误判为距离多假目标干扰的问题,利用虚假目标与真实目标距离量测之差的均值通常为时不变常数的特点,将角度量测卡方检验与距离量测差均值和方差联合检验相结合,实现了距离多假目标干扰存在性的准确判别;然后对多个时刻量测进行积累,并通过对应时刻角度量测做差,构造样本集合;最后利用虚假目标比真实目标角度量测方差大的特点,采用量测方差聚类划分的方法,实现了真假目标的准确鉴别。     

PBNA： An Improved Probabilistic Biological Network Alignment Method

Biological network alignment is an important research topic in the field of bioinformatics. Nowadays almost every existing alignment method is designed to solve the deterministic biological network alignment problem.However, it is worth noting that interactions in biological networks, like many other processes in the biological realm,are probabilistic events. Therefore, more accurate and better results can be obtained if biological networks are characterized by probabilistic graphs. This probabilistic information, however, increases difficulties in analyzing networks and only few methods can handle the probabilistic information. Therefore, in this paper, an improved Probabilistic Biological Network Alignment（PBNA） is proposed. Based on Iso Rank, PBNA is able to use the probabilistic information. Furthermore, PBNA takes advantages of Contributor and Probability Generating Function（PGF） to improve the accuracy of node similarity value and reduce the computational complexity of random variables in similarity matrix. Experimental results on dataset of the Protein-Protein Interaction（PPI） networks provided by Todor demonstrate that PBNA can produce some alignment results that ignored by the deterministic methods, and produce more biologically meaningful alignment results than Iso Rank does in most of the cases based on the Gene Ontology Consistency（GOC） measure. Compared with Prob method, which is designed exactly to solve the probabilistic alignment problem, PBNA can obtain more biologically meaningful mappings in less time.     

现代项目管理在水电机组检修中的应用研究

针对目前水电机组检修管理存在的不足,系统地研究了现代项目管理技术和方法在水电机组检修中的应用,旨在提高检修项目的管理水平,为电厂创造更多的效益。     

一种应用于二进制传感器网络的目标跟踪算法

针对采用集中式粒子滤波方法解决二进制传感器网络目标跟踪问题存在的实时性较差和网络能量消耗大的缺点，提出了一种基于动态分簇的分布式粒子滤波算法。以随着目标运动而动态变化的簇为信息处理结构，簇头节点收集簇成员的单跳测量信息，实时对目标状态进行估计，非簇内节点进入休眠状态以节省能量。仿真表明，合理设置簇转换距离和激活半径，算法的跟踪精度与集中式粒子滤波方法相当；在不影响跟踪效果的情况下，可适当减小簇转换距离和激活半径，从而节省网络能量。     

炼钢厂连铸机的开浇时间决策优化模型

针对炼钢厂连铸机开浇时是否连浇以及开浇时间确定等问题,从钢厂生产线上待加工的铁水/钢水金属资源平衡的角度,建立了以连铸生产总效益最大为目标函数的连铸机开浇决策的混合整数规划模型,并用基于MATLAB软件的YALMIP优化工具进行模型的求解.针对某钢厂的实际情况进行模型的应用测试,结果表明:模型可以优化决策连铸机各浇次的开浇时间,有助于编制合理的炼钢厂生产调度作业计划,稳定各班次之间的生产条件,降低生产线上的积压金属量,为炼钢厂连铸机的有序开浇提供了技术手段.     

BAI1 is an engulfment receptor for apoptotic cells upstream of the ELMO/Dock180/Rac module

Engulfment and subsequent degradation of apoptotic cells is an essential step that occurs throughout life in all multicellular organisms. ELMO/Dock180/Rac proteins are a conserved signalling module for promoting the internalization of apoptotic cell corpses; ELMO and Dock180 function together as a guanine nucleotide exchange factor (GEF) for the small GTPase Rac, and thereby regulate the phagocyte actin cytoskeleton during engulfment. However, the receptor(s) upstream of the ELMO/Dock180/Rac module are still unknown. Here we identify brain-specific angiogenesis inhibitor 1 (BAI1) as a receptor upstream of ELMO and as a receptor that can bind phosphatidylserine on apoptotic cells. BAI1 is a seven-transmembrane protein belonging to the adhesion-type G-protein-coupled receptor family, with an extended extracellular region and no known ligands. We show that BAI1 functions as an engulfment receptor in both the recognition and subsequent internalization of apoptotic cells. Through multiple lines of investigation, we identify phosphatidylserine, a key 'eat-me' signal exposed on apoptotic cells, as a ligand for BAI1. The thrombospondin type 1 repeats within the extracellular region of BAI1 mediate direct binding to phosphatidylserine. As with intracellular signalling, BAI1 forms a trimeric complex with ELMO and Dock180, and functional studies suggest that BAI1 cooperates with ELMO/Dock180/Rac to promote maximal engulfment of apoptotic cells. Last, decreased BAI1 expression or interference with BAI1 function inhibits the engulfment of apoptotic targets ex vivo and in vivo. Thus, BAI1 is a phosphatidylserine recognition receptor that can directly recruit a Rac-GEF complex to mediate the uptake of apoptotic cells.     

可吸入颗粒污染物在下呼吸道运动和沉积规律的数值模拟

为研究受慢性阻塞性肺病影响的呼吸道内气固流动特性,建立了基于Weibel模型的5～8级三维肺部模型.气相采用标准k-ε湍流模型,颗粒相采用离散颗粒模型.三级呼吸道内模拟的气固流动特性与实验结果进行了对比验证.在呼吸强度为30,60和90 L/min条件下,模拟了稳态、非稳态吸气时第7级内侧呼吸道受慢性阻塞性肺病影响收缩...     

超声波浸渍法制备MnOx/TiO2催化剂低温选择性催化还原NO

采用超声波浸渍法、传统浸渍法和溶胶凝胶法制备了一系列的MnOx/TiO2催化剂,采用X射线衍射(XRD)、比表面积测定(BET)、原位红外(in situ FT-IR)、高分辨率扫描电镜(HRTEM)程序升温还原(TPR)等技术进行表征,同时在模拟氨气选择性催化还原NO的反应条件下( NH3-SCR)对催化剂的低温反应...     

帕累托最优框架下的水电电价模型

将Shapley值分配方法与帕累托最优理论引入到水电电价模型的研究中.通过Shapley值确定水电电价在不同时段的惩罚因子与奖励因子,在帕累托最优的框架下建立能够提供有效的经济信号的有差别水电电价模型,目标为小水电方经济效益减少量与电网线损减少量比值的最小化,在保证对电网运营方与水电方经济效益弱影响的同时,实现电网的低...