水利工程建设项目的风险分析

水利工程建设中潜藏着众多风险，对风险进行有效分析是工程顺利建设的重要保证。水利工程风险分析是由风险识别、估算、评价、管理、控制决策等组成的科学体系。明确了水利工程中风险的定义，识别了水利工程的风险因素，论述了风险估算和评价的方法，并提出对工程风险进行管理和控制，以保证工程建设顺利进行。     

Accumulation of amplified target DNAs using thiol/biotin labeling, S1 nuclease, and ferrocene-streptavidin-magnetic system and a direct detection of specific DNA signals with screen printed gold electrode

Combinations of PCR-based amplification platform using 5′ thiolated and biotinylated specific primers, S1 nuclease-PCR products treatment, ferrocene-streptavidin (Fc-Stv)-magnetic binding for DNA accumulation, and screen printed gold electrode for the DNA allocation, were applied to Hoechst 33258-induced DNA aggregation and signals induction system for direct signals detection and DNA quantification in food samples. Thiolated and biotinylated at each 5′ terminus enabled DNA purification through S1 nuclease treatment for primers and non-specific DNA elimination and enabled DNA trapping with a ferrocene-streptavidin-magnetic system. This facilitated the accumulation of target DNAs at higher concentration, resulting in enhanced signals. After allocation of DNA on the surface of gold electrode via thiol binding, intensity of DNA signals through these treatments could be measured directly after being induced by Hoechst 33258. Wider amplitude changes in anodic current peaks between negative and positive samples (increasing from 3.70 to 10.10 μA) compared with those applied with no treatment combinations (decreasing from 3.92 to 1.23 μA) were observed. This enhancement of the signals allowed a greater efficiency of DNA quantification. When this combination was used for GMOs content estimation in reference samples, results revealed an improved accuracy from 66% to 96%. The combined biosensor system, although more costly than the standard Hoechst 33258/carbon electrode system, provided an alternative choice for DNA quantification, offering labor-free immobilization of probe onto electrode surface, easy test administration, and efficient semi-quantitative test without expensive instruments.     

多变量系统辨识在电加热炉系统中的研究

介绍多变量系统辨识在电加热炉系统中的应用。在确定合适的采样周期和输入信号后，获得了可供辨识的输入输出数据，并利用Guidorzi法离线辨识出模型的结构。为了克服有色噪声的影响，在辨识过程中用Ⅳ（Instrumental Variable)法估计出模型的参数。通过对残差的白性检验，验证了所建立模型的可靠性。最后，对Ⅳ法和RLS（Recursive Least Square)不的辨识精度进行了比较。     

人工神经元网络在系统辨识中的应用

本文将人工神经元网络的非线性性和信息的分布性用于非线性静态模型的辨识.对化 工生产中的缩聚反应过程的辨识结果表明,用人工神经元网络来辨识非线性静态模型是可行 的,从而为系统辨识提供了一条新的途径.     

电子认证与授权管理标准体系研究

以国际上在标识、鉴别与授权标准方面已有的工作为基础，提出了我国电子认证与授权管理标准体系框架。     

塔里木盆地塔中地区火成岩体识别与预测技术

塔里木盆地塔中地区火成岩发育,纵向上从二叠系至前震旦系主要发育有4期,严重地影响了该区构造圈闭落实的可靠性以及油气藏后期的保存条件,也是塔中18、21、22等井钻探失败的主要原因。为降低钻探风险,在该区进行了火成岩体识别与预测技术攻关,总结出了7种方法,它们的相互配合,可以较为有效地预测火成岩分布以及火成岩对下伏构造的影响,指导该区勘探;通过中1井的钻探,已经取得了较好的效果。      

Temperature Oscillation Calorimetry: Robustness analysis of different algorithms for the evaluation of the heat transfer coefficient

Applicability of different temperature oscillation calorimetry algorithms, previously proposed in the literature, for the evaluation of the heat transfer coefficient during the course of the reaction, is analysed by referring to the experimental data from a methyl methacrylate polymerisation reactor.Results are coincident in the nominal case (no errors on data), while differences appear in the elaboration of real data. The effect of uncertainty in the experimental data has been simulated in terms of error on the amplitude and on the phase of reactor and jacket temperature profiles.This approach allows to indicate algorithms having the best robustness properties and to give an explanation of phase errors in terms of a lumped parameter which accounts for different phenomena, not included in the basic hypotheses of the method. Based on this observation, a procedure to eliminate this source of errors from experimental data is proposed for the more general algorithm presented to handle oscillating temperature profiles generated by different techniques.     

红宝石和蓝宝石的基本特征与鉴别

较详细论述了世界上四大珍贵宝石中红宝石和蓝宝石．讨论了它们的主要特性、品种、工艺要求及主要鉴别方法．     

储层识别模式的研究

用数学方法建立气测井油气储层识别模式,以解决录井中实时软件在判别依据少的条件下,及时识别油气显示假异常的难题。该判别式经实用,正到率达90％。     

Electrophoretic Identification of Muscle Proteins in 7 Puffer Species

ABSTRACT: Species identification of puffer species using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) with Coomassie blue and Coomassie blue/silver double staining was performed. A comparison was also made among extracts of sarcoplasmic, myofibrillar, SDS-soluble, and urea-soluble proteins. Protein bands of lower molecular weight showed the species-specific characteristics. Double staining better discriminated the protein banding patterns of different puffer species than Coomassie blue staining. Species identification of all tested puffers could be achieved by judging from the SDS-PAGE patterns of the 4 protein extracts stained with both stains along with protein band densities.