定量ELISA检测小鼠血清中抗LDH-C4IgG2b抗体的水平

用定量EL ISA 的方法检测背部携带分泌抗LDH - C4 IgG2b 抗体杂交瘤小鼠的血清中IgG2b 抗体浓 度, 结果表明: 本法稳定, 批间变异系数为7104 %～13130 % , 批内变异系数为3161 %～10120 %; 标准曲线 相关性良好, 相关系数从01962 884～01996 795 ; 灵敏度较高, 最低检出浓度为0101 mg/ L ; 特异性亦较好.

Guidelines for evaluating the ease of reconfiguration of manufacturing systems

This paper presents guidelines for evaluating the ease of reconfiguration of manufacturing systems. Based reconfigurability measurement tools proposed in the past [1], [2]and a reconfiguration process model, the paper proposes a method that can be used to assess different system characteristics. After the guideline is presented, an example of how the method can be applied to a batch processing system is given. It is found that the proposed method can be applied to batch processing systems based on ISA S88 batch server commercial software. ©2008 IEEE.

鲤吉陶单极虫免疫原性的研究

以鲤吉陶单极虫孢子的可溶性抗原 ,采用 B淋巴细胞杂交瘤融合技术制备了 4A8、6 B8、7B93株杂交瘤细胞 ,并用该抗原免疫新西兰白兔制备了高免血清。通过对虫体进行抗原检测、定位和 Western- blot试验 ,结果发现 :4A8、6 B8、7B9和多抗经间接 EL ISA可检出抗原的最低质量浓度分别为 0 .14、0 .2 0、0 .32和 0 .86 mg/ L;IFA定位显示 ,单、多抗检出的抗原都定位于虫壁 ,其中 4A8的抗原主要位于虫体后部 (胚核附近 ) ,6 B8和 7B9的抗原主

construction of feature-matching perception in virtual assembly

An important characteristic of virtual assembly is interaction. Traditional di-rect manipulation in virtual assembly relies on dynamic collision detection, which is very time-consuming and even impossible in desktop virtual assembly environment. Feature-matching isa critical process in harmonious virtual assembly, and is the premise of assembly constraint sens-ing. This paper puts forward an active object-based feature-matching perception mechanism and afeature-matching interactive computing process, both of which make the direct manipulation in vir-tual assembly break away from collision detection. They also help to enhance virtual environmentunderstandability of user intention and promote interaction performance. Experimental resultsshow that this perception mechanism can ensure that users achieve real-time direct manipulationin desktop virtual environment.

地形可视性分析中观察点设置问题研究

观察点设置问题是地形可视性分析中的一类重要问题，对该问题的研究可以在空间信息辅助决策、通信、旅游、野生动物保护等领域发挥重大作用。本文在对地形可视性分析中观察点设置问题现有研究成果总结和分析基础上对该问题展开深入研究。 首先，针对现有解决方法只从智能算法或地形数据表示方法单一角度进行分析和研究的局限性，提出了一种问题相关的智能算法和数据表示方法相结合的解决问题新框架。该框架考虑了解决观察点设置问题时智能算法的优点和数据表示方式的特点相互配合问题，目的是充分发挥二者各自的优势以提高观察点设置问题解决的准确度与效率。 其次，在深入分析观察点设置问题本身特点的基础上，结合隶属云理论的基本理论和方法，对经典模拟退火算法从退温函数设计、温度产生过程、状态生成过程三方面进行了问题相关的改进，提出了一种适于观察点设置问题的改进模拟退火算法(Improved Simulated Annealing algorithm, ISA)。该算法一方面保持了经典模拟退火算法的稳定倾向特性，保证了算法满足伴随退火温度的不断下降，对恶化的新状态越来越难于接受这一模拟退火算法的最基本特征；另一方面其退火温度的连续性随机变化特性和隐含的“回火升温”过程，则有利于算法有效拒绝恶化解，加速算法收敛，能够更好地满足观察点设置问题对于算法收敛速度的要求。 再次，在分析地形数据的精度、误差等因素对观察点设置问题的解决准确性和解决效率影响程度的基础上，提出了一种基于离散余弦变换的地形数据内插方法(Discrete Cosine Transformation Interpolation method, DCTI)。新方法将传统空域上的地形内插转换到变换域上进行，同时充分利用了离散余弦变换的熵保持特性和能量压缩特性，简化了变换域上的内插过程，提高了地形数据内插的效率和精度。DCTI方法与其他现有典型地形数据内插方法相比，对地形可视性信息获取的准确性和效率影响最小，为平衡观察点设置问题解决过程中时间效率和准确度之间的关系，最终有效地解决观察点设置问题提供了数据基础。 最后，从智能算法和地形数据相结合的角度出发，提出了一种基于ISA和DCTI相结合的观察点设置问题多分辨率处理方法(Multi-Resolution Processing method, MRP)。新方法将模拟退火算法的逐次退火特点和地形数据的多分辨率表示充分结合，达到了发挥算法数据相结合的综合优势的目的。与现有单纯基于模拟退火算法的解决方法相比，在问题解决准确度保持不变的前提下，基于MRP方法的观察点设置问题解决的平均耗时减少85%~95%，为实际工程应用问题的解决提供了一条重要途径。

光谱测量与能级寿命测量的数据获取电子学系统

随着物理实验要求的提高，利用先进的计算机技术来改造现有的物理实验设备具有重要意义。因此，我们设计研制了光谱测量与能级寿命测量数据获取电子学系统。本文全面论述了这一系统的组成结构。本系统由微机进行控制，通过基于Pentium机上工SA总线的接口电路来控制数据采集过程，实现了测量设备的智能化，并具有高速度、高可靠性的特点。配合软件工作可完全实现实验的无人监控。论文第一部分介绍了这个系统开发的背景及意义。第二部分是这个系统的组成和硬件结构、性能。这个系统完成的主要功能是：（1）采集数据并处理；（2）控制外设马达的运动；（3）显示系统的状态。第三部分是调试过程以及针对在调试中出现的各种实际问题提出的解决办法和预防措施。在设计工作完成之后，本系统在兰州近代物理研究所的加速器实验大厅中进行了模拟实验，并采集了部分数据。通过对获取数据的处理，获得了比较满意的结果。在论文的最后一部分中给出了本系统在实际运行后得出的实验结果以及此系统中可待完善之处。

Synthesis and characterization of a novel two-component organogelator based on ion-bonded discotic complex

A novel ion-bonded discotic complex was prepared from 2,3,6,7,10,11-hexakis(N,N-dimethylaminopropylaminocarbonylmethoxy)triphenylene (HDTP) and 4'-dodecyloxybiphenyl-4-carboxylic acid (DBC) by ionic self-assembly (ISA) route and characterized by Fourier transform infrared (FTIR) spectrum. We found that the complex can self-assemble into stable gels in aromatic hydrocarbons. Nanofibers with diameters of 50-130 nm were observed in the gels by transmission electron micrograph (TEM).

时间分辨激光荧光光谱技术在免疫分析中的应用

本研究以时间分辨激发荧光光谱分析技术为基础 ,进行稀土离子标记的激光激发的时间分辨荧光免疫分析 (TRFIA)研究。实验以自行合成的二乙三胺五醋酸酐 (DTPAA)为双功能螯合剂。用 Eu3+标记兔抗人 (RAH) Ig G抗体 ,依据解离增强原理 (DEL FIA) ,研究了 Eu3+ -β萘甲酰三氟丙酮 (β- NTA)的荧光分辨体系 ,测定了荧光光谱和荧光寿命 ,建立了铕离子分析检出方法 ,其工作曲线范围为 1× 10 - 7～ 1× 10 - 1 1g· m L- 1 ,检测限为 1× 10 - 1 3g· m L- 1 ,相对标准偏差为 6 .4%。结合 TRFIA方法学研究 ,进行了人血清丙型肝炎病毒抗体 (Anti- HCV)检测。并同酶联免疫法 (EL ISA)对比。取得 TRFIA法阳性检测率明显高于EL ISA法的结果。

第十四章 WIA-PA:用于过程自动化的工业无线网络系统结构与通信规范

概要介绍工业无线网络的标准化进程,详细介绍了用于过程自动化的工业无线网络WIA规范的网络构成、拓扑结构、协议体系和关键技术,并将WIA-PA与WirelessHART、ISASP100两大工业无线标准进行了比较分析。

基于中间件的MES与ERP系统信息集成技术研究

目前ERP系统和MES系统在企业中的应用越来越广泛，如何实现两系统的信息集成﹑消除“信息孤岛”﹑达到资源的有效共享对于企业而言具有重要的意义。 本文首先介绍了ERP系统、MES系统、中间件与信息集成的相关技术背景，为后文的深入研究奠定了基础；然后阐述了ISA SP95标准、XML技术和Microsoft集成中间件产品BizTalk Server的工作原理和开发方法。接下来讨论了MES与 ERP 集成的必要性，并对MES与 ERP 集成的现状进行了分析，比较了现有的几种MES和ERP系统集成的模式。在讨论了国内外对MES和ERP系统信息集成解决方案的缺陷与不足的基础上，以ISA SP95为标准分析抽取并建立了MES和ERP系统信息集成模型，提出了基于消息队列通信中间件技术来集成MES和ERP系统的方法，并结合陕西西安法士特齿轮有限公司的MES项目，在消息队列通信中间件BizTalk Server的基础上设计开发了ERP/MES信息集成系统。 本课题涉及到以下主要技术及工具:XML, Biztalk Server, SQL Server。本文提出的ERP/MES信息集成系统采用基于.NET平台的组件化程序设计方法，结合ISA SP95标准分析抽取并建立了ERP/MES系统信息集成模型， 以XML-XSD标准作为消息定义的规范，Biztalk Server作为消息模板定义、转换及消息传递的集成中间件，SQL Server 2000作为数据库服务器。主要介绍了ERP/MES信息集成系统的体系结构，给出了系统的功能结构框图，介绍了系统各个功能模块说明和安全性设计，并阐述了ERP/MES集成系统中关键技术的具体实现，最后对系统进行了初步测试，实现了ERP向MES下达生产计划、MES接收计划并指导生产、计划完成后向ERP回馈生产绩效信息的闭环全过程。本系统的研究开发，实现了MES系统和ERP系统间异步、实时、可靠的集成，又由于BizTalk Server具有平台无关性特点，本系统可以应用到许多大规模应用系统的集成，具有一定的实用和推广价值。 关键词 ERP；MES；中间件；信息集成

Developing global trade union "space"

International unions and international solidarity strategies have been changing partly as a response to changes in the global economy. Global union federations have played an important role in expanding communication and developing alliances with other social movements. One of the issues facing trade unions wanting to be effective at an international level is to what extent national concerns can inform and even be transcended by international perspectives. Proposals for studying the global labor force "horizontally", that is, according to different categories and forms of work rather than on a nation-by-nation basis, demonstrates a recognition of global- national dimensions (Harrod and O'Brien 2002:49). This paper will discuss the development of a global trade union "space", which enables national and global unions to work together effectively, using a series of case studies drawn from the experience of global and European public service unions.

Robust Speaker Recognition in Noisy Conditions

This paper investigates the problem of speaker identi-fication and verification in noisy conditions, assuming that speechsignals are corrupted by environmental noise, but knowledgeabout the noise characteristics is not available. This research ismotivated in part by the potential application of speaker recog-nition technologies on handheld devices or the Internet. Whilethe technologies promise an additional biometric layer of securityto protect the user, the practical implementation of such systemsfaces many challenges. One of these is environmental noise. Due tothe mobile nature of such systems, the noise sources can be highlytime-varying and potentially unknown. This raises the require-ment for noise robustness in the absence of information about thenoise. This paper describes a method that combines multicondi-tion model training and missing-feature theory to model noisewith unknown temporal-spectral characteristics. Multiconditiontraining is conducted using simulated noisy data with limitednoise variation, providing a “coarse” compensation for the noise,and missing-feature theory is applied to refine the compensationby ignoring noise variation outside the given training conditions,thereby reducing the training and testing mismatch. This paperis focused on several issues relating to the implementation of thenew model for real-world applications. These include the gener-ation of multicondition training data to model noisy speech, thecombination of different training data to optimize the recognitionperformance, and the reduction of the model’s complexity. Thenew algorithm was tested using two databases with simulated andrealistic noisy speech data. The first database is a redevelopmentof the TIMIT database by rerecording the data in the presence ofvarious noise types, used to test the model for speaker identifica-tion with a focus on the varieties of noise. The second database isa handheld-device database collected in realistic noisy conditions,used to further validate the model for real-world speaker verifica-tion. The new model is compared to baseline systems and is foundto achieve lower error rates.

Indicadores de sostenibilidad ambiental en el periurbano de la ciudad de Mar del Plata, Argentina

Los indicadores de sostenibilidad conforman herramientas útiles para la toma de decisiones. Las ciudades latinoamericanas, y especialmente las áreas de expansión sin planificación adecuada, enfrentan desafíos cada vez mayores para revertir problemáticas que amenazan su sostenibilidad. El presente trabajo evalúa de manera preliminar, la sostenibilidad ambiental del periurbano de Mar del Plata (Argentina) tomando como referencia algunos de los indicadores propuestos por el modelo del Banco Interamericano de Desarrollo en la Iniciativa Ciudades Emergentes y Sostenibles. Se construyó un índice sintético (Índice de Sostenibilidad Ambiental, ISA) que integra trece indicadores agrupados en ocho temas. Las situaciones más críticas (ISA: 0,45-0,558) se identifican fundamentalmente en zonas en las que se desarrollan actividades rurales y en las que se localizan asentamientos de carácter precario. El estudio realizado profundiza en el conocimiento de la dimensión ambiental de la sostenibilidad, enfatizando en el análisis de los contrastes internos del periurbano marplatense.

A Context-Dependent Algorithm for Merging Uncertain Information in Possibility Theory

The need to merge multiple sources of uncertaininformation is an important issue in many application areas,especially when there is potential for contradictions betweensources. Possibility theory offers a flexible framework to represent,and reason with, uncertain information, and there isa range of merging operators, such as the conjunctive anddisjunctive operators, for combining information. However, withthe proposals to date, the context of the information to be mergedis largely ignored during the process of selecting which mergingoperators to use. To address this shortcoming, in this paper,we propose an adaptive merging algorithm which selects largelypartially maximal consistent subsets (LPMCSs) of sources, thatcan be merged through relaxation of the conjunctive operator, byassessing the coherence of the information in each subset. In thisway, a fusion process can integrate both conjunctive and disjunctiveoperators in a more flexible manner and thereby be morecontext dependent. A comparison with related merging methodsshows how our algorithm can produce a more consensual result.