多因素层次模糊综合评判决策模型及其应用

应用系统工程的方法，建立基于三角模糊数学的多因素层次模糊，综合评判决策模型和权重分配待定性因素数值化模型，并运用该模型对某贵金属矿体开采的采矿方法进行了优选，获得了满意的结果。     

The parameter determination in the design of 3-D spherically symmetric FIR filters via the McClellan transformation

In the design of 3-D spherically symmetric FIR filters via the McClellan transformation, two methods are proposed to determine the transformation parameters. The first is to improve the original 3-D algorithm by exploiting the 2-D effective methods in 3-D. This method can change the constrained optimization algorithm into the unconstrained one and makes the design easier to realize. The second method is to solve the coupled equations under constrained conditions and a set of ideal parameters can be gotten. The design example shows that the two methods are all efficient and easier than the original algorithm. Supported by the National Natural Science Foundation of China Jin Xiaoying: born in 1975, Graduate student     

The neuronal sortilin-related receptor SORL1 is genetically associated with Alzheimer disease

The recycling of the amyloid precursor protein (APP) from the cell surface via the endocytic pathways plays a key role in the generation of amyloid beta peptide (Abeta) in Alzheimer disease. We report here that inherited variants in the SORL1 neuronal sorting receptor are associated with late-onset Alzheimer disease. These variants, which occur in at least two different clusters of intronic sequences within the SORL1 gene (also known as LR11 or SORLA) may regulate tissue-specific expression of SORL1. We also show that SORL1 directs trafficking of APP into recycling pathways and that when SORL1 is underexpressed, APP is sorted into Abeta-generating compartments. These data suggest that inherited or acquired changes in SORL1 expression or function are mechanistically involved in causing Alzheimer disease.     

非最小相位系统传递函数的演化模型降阶

针对非最小相位系统传递函数的模型降阶工作,通过对频域误差平方和加权的形式,提出了同时考虑频域幅值与相位因素的多目标参数优化指标。针对传统的求解多目标优化方法的不足,提出应用演化算法对此复杂的目标函数进行优化的策略。计算实例说明,使用演化优化方法可以获得幅值与相位特性均较好的降阶模型。     

An Adaptive Identification and Control Scheme Using Radial Basis Function Networks

1.INTaODUCTIONThemultilayerfeedforwardneuralnetworks(MFNN)hasbeenwidelyappliedinmanyfieldssuchaspatternrecognition,nonlinearoptimization,systemidentificationandcontrol.Thesimpleback-propagation(BP)learningalgorithmisusuallyadoptedtoupdateitsweights.TheBPalgorithm,however,suffersdrawbacksofslowconvergenceandunpredictablesolutionsduringlearning.Althoughmailyapproachessuchasvariablestepsize,conjugategradient,pseudo-Newtonmethods[4]andothermethods[3,10],havebeendevelopedtoovercometheproble…     

MetaOJ: A Massive Distributed Online Judge System

Online Judge(OJ) systems are a basic and important component of computer education. Here, we present MetaOJ, an OJ system that can be used for holding massive programming tests online. MetaOJ is designed to create a distributed, fault-tolerant, and easy-to-scale OJ system from an existing ordinary OJ system by adding several interfaces into it and creating multiple instances of it. Our case on modifying the TUOJ system shows that the modification adds no more than 3% lines of code and the performance loss on a single OJ instance is no more than 12%. We also introduce mechanisms to integrate the system with cloud infrastructure to automate the deployment process. MetaOJ provides a solution for those OJ systems that are designed for a specific programming contest and are now facing performance bottlenecks.     

A new method for uniform local heating deep in body using ultrasound phased-array system

A new method for targeted heating of deep tissue was developed by using an ultrasound phased-array system which can generate various multiple foci patterns by electronically changing its amplitude or phase pattern. This method involves using a technique of combining switching and rotating of multiple foci patterns to create a uniform temperature over tissue volumes in various size. Using this method, the target tissue deep in the body can be heated to a specified temperature, which gives conditions for thermo-sensitive liposomes release. A simulation study for a 108-element, spherically sectioned array was performed to determine an optimal heating scheme from a set of multiple focus fields which were produced by inputting different combinations of phases and amplitudes. Comparisons of a static multiple foci field, the switched fields and the switched-rotated fields indicated that the technique of combining switching and rotating of multiple foci patterns has advantages of both lowering the peak temperature and evening the temperature distribution. The simulation results also show that the therapeutic heating zones in various size employing the combined method. These results offer significant data for designing thermotherapy equipment for tumor-specific drug release with thermo-sensitive liposomes.     

相对于一对代数集的局部上同调

设R为含幺交换环,X,y(∪)spec(R).在本文中,我们引入了相对于X,Y的广义局部上同调,并研究了它与一般局部上同调的关系及它的消失性.     

盾构克泥效浆液成分与渗透扩散研究

克泥效工法常在盾构隧道近接既有建筑物穿越工程中被引进作为控制地层位移的一种辅助工法,克泥效浆液在地层的渗透扩散性对盾壳与地层间环向间隙填充效果有着重要影响,克泥效浆液的流变性能与其微观成分对其流动性有着重要影响。本文基于对克泥效浆液流变性能与微观成分分析,研究了浆液性能变化。进一步结合宾汉姆流体砂土渗流公式与数值计算模型,分析了浆液性能对渗透效果的具体影响,并验证数值模型可靠性与合理性。结果表明:(1)各组克泥效浆液样本在宾汉姆本构下的非线性回归系数均大于0.95,塑性黏度与屈服强度会随着水粉比的减小而增大。(2)克泥效浆液主要成分为石英、斜长石、伊利石、钾长石,随着A液水粉比的增加,克泥效水化产物斜长石增加,而伊利石的含量减小。(3)克泥效浆液会在25s左右占满环向间隙,而后再向地层中发生渗透扩散,地层中浆液体积分数增速随时间而减小,直至增速降为0。(4)随A液水粉比增大、地层渗透系数增加、注浆压力增加,克泥效在地层渗透距离均会增加。理论渗透值与数值模型计算值误差在各工况下的平均误差控制在10%以内。     

海南岛西部近岸海域碎屑锆石U-Pb同位素年代学物源示踪及其地质意义

海南岛西部近岸海域海砂资源丰富、经济价值巨大,对其物质来源却缺乏系统研究。为解决这一科学问题,对海南岛西部近岸海域和昌化江入海口1 471粒碎屑锆石开展了U-Pb同位素年代学和微区元素地球化学研究。海南岛西部近岸海域年龄范围在3.45 Ga~82 Ma,具有99 Ma、241 Ma和252 Ma三个主要年龄峰值,以及113 Ma、155 Ma、325 Ma和357 Ma四个次要年龄峰值;昌化江入海口具有2.3 Ga~96 Ma的年龄范围,存在101 Ma、244 Ma和254 Ma三个主要年龄峰值,以及122 Ma、266 Ma、281 Ma、307 Ma和342 Ma四个次要年龄峰值。研究表明:①海南岛西部近岸海域沉积物以具有~99 Ma的显著年龄峰,并缺乏晋宁期、加里东期和喜山期年龄峰为识别标志,海南岛应是其主要物源区;②海南岛西部近岸海域与昌化江沉积物年龄峰值的差异,指示了海南岛西部近岸海域沉积物并非单纯来源于昌化江输入,也接受了琼西南部河流的物源贡献;③本次新识别出的380~310 Ma年龄群,可作为昌化江流域物源识别标志;④本次碎屑锆石年龄频谱特征与海南岛经历的多次重要地质事件相吻合,有助于了解海南岛复杂的地质演化历史。