用αβ谱仪测量人工αβ放射性气溶胶体积活度的试验研究

本文介绍了用αβ谱仪系统同时测量αβ谱、实现Ｒｎ／Ｔｈ子体补偿、确定超铀α核素气溶胶体积活度及人工放射性气溶胶总β体积活度的技术途径。利用ＲａＡ、ＲａＣ′ａ峰的二段时间计数可确定空气中ＲａＡ、ＲａＢ、ＲａＣ的气溶胶体积活度，相应的，也能给出ＲａＢ、ＲａＣ对总β计数的贡献。根据一般环境条件下的平衡比，用ＴｈＣ′的。计数修正Ｔｈ子体对αβ测量的影响。￣［２３９］ｐｕ或／和￣［２４１］Ａｍ人工核素的α计数，可通过两段时间分别扣除ＲａＡ、ＲａＣ′拖尾的方法确定；β计数分别扣除Ｒｎ／Ｔｈ子体β贡献即可确定。在本文规定的测量条件下，对室内天然Ｒｎ子体水平在１５Ｂｑ／ｍ￣３以下，超铀α核素气溶胶体积活度的测量下限可达到０．１Ｂｑ／ｍ￣３；即使在７５Ｂｑ／ｍ￣３环境下，人工核素总β的测量下限也可达ｌＢｑ／ｍ￣３以下。     

Biflavonoid-Induced Disruption of Hydrogen Bonds Leads to Amyloid-β Disaggregation

Deposition of amyloid β (Aβ) fibrils in the brain is a key pathologic hallmark of Alzheimer’s disease. A class of polyphenolic biflavonoids is known to have anti-amyloidogenic effects by inhibiting aggregation of Aβ and promoting disaggregation of Aβ fibrils. In the present study, we further sought to investigate the structural basis of the Aβ disaggregating activity of biflavonoids and their interactions at the atomic level. A thioflavin T (ThT) fluorescence assay revealed that amentoflavone-type biflavonoids promote disaggregation of Aβ fibrils with varying potency due to specific structural differences. The computational analysis herein provides the first atomistic details for the mechanism of Aβ disaggregation by biflavonoids. Molecular docking analysis showed that biflavonoids preferentially bind to the aromatic-rich, partially ordered N-termini of Aβ fibril via the π–π interactions. Moreover, docking scores correlate well with the ThT EC₅₀ values. Molecular dynamic simulations revealed that biflavonoids decrease the content of β-sheet in Aβ fibril in a structure-dependent manner. Hydrogen bond analysis further supported that the substitution of hydroxyl groups capable of hydrogen bond formation at two positions on the biflavonoid scaffold leads to significantly disaggregation of Aβ fibrils. Taken together, our data indicate that biflavonoids promote disaggregation of Aβ fibrils due to their ability to disrupt the fibril structure, suggesting biflavonoids as a lead class of compounds to develop a therapeutic agent for Alzheimer’s disease.     

State estimation for complex systems with randomly occurring nonlinearities and randomly missing measurements

This paper is concerned with the state estimation problem for the complex networked systems with randomly occurring nonlinearities and randomly missing measurements. The nonlinearities are included to describe the phenomena of nonlinear disturbances which exist in the network and may occur in a probabilistic way. Considering the fact that probabilistic data missing may occur in the process of information transmission, we introduce the randomly data missing into the sensor measurements. The aim of this paper is to design a state estimator to estimate the true states of the considered complex network through the available output measurements. By using a Lyapunov functional and some stochastic analysis techniques, sufficient criteria are obtained in the form of linear matrix inequalities under which the estimation error dynamics is globally asymptotically stable in the mean square. Furthermore, the state estimator gain is also obtained. Finally, a numerical example is employed to illustrate the effectiveness of the proposed state estimation conditions.     

H ∞ control for discrete‐time nonlinear Markov jump systems with multiplicative noise and sector constraint

This paper addresses the finite horizon H _∞ control problem for a class of discrete‐time nonlinear Markov jump systems with multiplicative noise and nonlinear feedback device. The system nonlinearity occurs in a random way specified by a Bernoulli process, whereas the actuator and sensor nonlinearities are restricted to a sector region. Both the state and the dynamic output feedback H _∞ controllers are devised in terms of difference LMIs. The proposed approach not only allows the resulting system to achieve a prescribed disturbance attenuation level, but also enables the output of actuator/sensor to meet the designated sector condition. Moreover, it is also shown that our approach is well‐adapted for dealing with the discrete‐time Markov jump systems with saturated actuator and sensor. Finally, a backward iterative algorithm is provided to solve the obtained difference LMIs and a numerical example is presented to verify the efficiency of the theoretical results. Copyright © 2013 John Wiley & Sons, Ltd.     

天然彩色棉/绢丝混纺原料对织物风格的影响

为了解混纺比对天然彩色棉/绢丝混纺织物风格的影响,制备了系列天然彩色棉(棕)/绢丝混纺机织物,并采用FAST对混纺织物的风格进行测试与分析.研究表明,随着绢丝含量的增加,天然彩色棉/绢丝混纺织物的强伸性能得到明显改善,织物的风格变得相对滑爽,柔软,但造型性有所变差.少量绢丝的加入(＜10%)对织物柔软性的改善明显.     

Bounded H∞ synchronization for time‐varying networks with probability‐dependent information

This paper addresses the bounded H_∞ synchronization problem for the time‐varying coupled networks with stochastic noises and randomly occurring nonlinearities over a finite horizon. The bounded H_∞ synchronization performance constraint is proposed to quantify the degree of the synchronization regarding the exogenous disturbances. The nonlinearities considered in this paper are assumed to satisfy the sector‐like conditions and characterized by a time‐varying Bernoulli distribution with measurable probability in real time. Based on the Kronecker product and the Hadamard product, a sufficient condition is established firstly to ensure the bounded H_∞ synchronization of the network by utilizing the probability‐dependent method. Then the obtained criterion is further converted into a computationally available one by transforming the time‐varying probability into a polytopic form, which is presented in terms of matrix inequalities and hence can be verified easily by applying the Matlab toolbox. Finally, simulation examples are given to demonstrate the effectiveness of the theoretical results. Copyright © 2016 John Wiley & Sons, Ltd.     

The use of energy windowing to discriminate SNM from NORM in radiation portal monitors

Energy windowing is an algorithmic alarm method that can be applied to plastic scintillator-based radiation portal monitor (RPM) systems to improve operational sensitivity to certain threat sources while reducing the alarm rates from naturally occurring radioactive material. Various implementations of energy windowing have been tested and documented by industry and at Pacific Northwest National Laboratory, and are available in commercial RPMs built by several manufacturers. Moreover, energy windowing is being used in many deployed RPMs to reduce nuisance alarms and improve operational sensitivity during the screening of cargo. This paper describes energy windowing algorithms and demonstrates how these algorithms succeed when applied to “controlled” experimental measurements and “real world” vehicle traffic data.     

基于处理突发事件的智能建筑数据系统集成

讨论基于突发事件的智能建筑系统集成平台．以典型的智能建筑内部的信息流为主线，通过对现行的系统和已有相关软件的调研和分析，得到现行系统的信息流程．重点分析各个系统之间的交互信息，结合智能建筑系统集成的思想和方法，对其进行分析、综合、优化及规划，给出新系统所必须实现的各个系统之间的信息交互的信息以及一个相关的基于数据库的信息集成模型．     

α放射性核素靶向治疗研究进展:α核素的制备与分离北大核心CSCD

α放射性核素靶向治疗(targeted alpha therapy,TAT)技术作为一种很有前景的肿瘤放疗手段近些年来正不断发展。因α放射性核素具有线性传能密度(linear energy transfer,LET)高、射程短、放射生物学效应和细胞毒性强等特点,TAT在微小肿瘤、散在性肿瘤及发生微转移肿瘤的治疗上展现出了独特的优势。但是,由于可用于TAT的α核素来源非常有限,且其制备和纯化也十分困难,这就导致α核素的获取成为了制约TAT技术发展的主要因素之一。针对α放射性核素靶向治疗中α核素的获取问题,本文从核素的性质、制备技术及分离方法的角度对几种适用于靶向治疗的α放射性核素(^(225)Ac、^(213)Bi、^(212)Pb、^(212)Bi、^(227)Th、^(223)Ra、^(230)U、^(226)Th、^(211)At、^(149)Tb)的研究现状进行了概述。     

湖北、湖南、江西、浙江、安徽省石煤矿区环境介质中天然放射性核素水平调查

湖北、湖南、江西、浙江和安徽省石煤储藏量占全国的90％以上。1991～1993年，由国家环保局和中国核工业总公司合作，组织开展了“放射性伴生石煤矿开发和利用对环境影响研究”调查，其中，上述5省石煤矿区土壤、石煤（渣）、碳化砖、水和气溶胶等环境介质中天然放射性核素水平调查是其主要项目之一。调查中采集土壤样品39个，水样34个，气溶胶样品8个，石煤样品81个，石煤渣样品58个，碳化砖样品44个。调查结果表明：5省被调查石煤矿区土壤中^238U和^236Ra平均含量分别为0．37和0．24kBq／kg；石煤、石煤渣和碳化砖中^226Ra的平均含量分别约为1．3、1．4和0．9kBq／kg；矿区排出水样中天然铀和^226Ra平均浓度分别为33μg／L和58mBq／L；矿区外水塘和江河水样中天然铀和^226Ra平均浓度为分别3．4μg／L和45mBq／L；矿区气溶胶样品^238U和^226Ra平均浓度分别为0．6和0．5mBq／m^3。