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In building the simulation models for manufacturing missions, based on the combination with the multi-agent method and the GOOPN method, the compoundable method is presented, which makes the models more intelligent. Based on the result above, combined with the GOOPN models and the GERTS model, we put forward EPN-GERTS model through embedding Petri net into GERTS model, which can simplify the complexity in building models, and also improve the defects of GERTS model in describing resource conflicts and Petri net model in building models. In building the simulation models for development missions, the improved GERTS model is present to describe the development processes in QRMS. Through dynamically computing the redo times in GERTS, the improved model can reflect the operation character of development process. The simulation results are more precise when we use the models above.

针对构建快速研制系统的仿真对象问题，提出了基于多Agent的快速研制系统可靠性复合仿真建模方法，增强了仿真模型的智能性；在此基础上，针对制造任务，将Petri网嵌入到GERTS网中，提出了用于快速研制系统制造任务可靠性仿真的EPN-GERTS模型，简化了建模过程，同时也能考虑任务之间的资源冲突；针对研制任务，提出了用于快速研制系统研制任务可靠性仿真的改进GERTS模型，该模型可以描述设计迭代过程的动态运行特点，使仿真结果更加准确。

It described the basic thinking and method of building simulation model including the modeling method of conceptual model(conceptual model includes the hierarchical model,object model, dynamic model),and basic thinking of building the simulation model of coal wharf logistics system with the new software of Witness.

同时本文针对如何应用新一代仿真软件witness建立煤炭码头物流系统仿真模型，阐述了基本思路，建立煤炭码头的层次模型、动态模型，最后结合具体码头的特色建立其仿真模型。

This paper presents a workflow management system based on software agent. It applies an activity-based modeling method and builds formal workflow model. It also puts forward an agent model composed of activity model, intention model, skill model, self-capacity model and companion model to implement workflow management. An agent federation which can be nested is constructed to enhance system flexibility and a shared domain ontology based on workflow is defined to support semantic interoperation among agents.

文章提出了一种基于软件agent的工作流管理系统，采用基于活动的工作流建模方法，建立了形式化的工作流模型，在此基础上，定义了包括活动、意向、技能、自身能力、伙伴等模型的实现工作流运行的agent模型，构建了可嵌套的agent联邦结构，增强了系统的灵活性，并定义了基于工作流的共享领域本体论，支持agent间的语义互操作。

The system implemented forest fire model selection automatically and intelligently. BP artificial neural network model of forest fire model selection was build by treating forest fire environment data as inputting variable and treating appropriate forest fire model as outputting variable. At the same time, we studied the methods of acquiring and calculating data of inputting and outputting. The system implemented machine of model selection automatically based on dynamic data driven technology. We selected 72 items experimental data from historical forest fire records in Beijing to experiment and confirm the validity of model selection. It turned out that the reliability of model selection is more than 80 percent.

3基于BP人工神经网络方法设计了林火模型适宜性选择技术框架结构，通过神经网络形成林火模型选择知识，实现了林火模型的自动化和智能化选择；以火场环境因子为输入变量，以适宜火场环境模拟的林火蔓延模型作为输出变量，构建了林火模型选择神经网络模型；研究了输入、输出因子数据的获取与计算方式，实现了动态数据驱动的林火模型自动选择机制；以本京市为例，选择了有详细火场情况记录的72场林火作为实验样本，其中60条记录作为学习样本集，12条记录作为验证样本，对神经网络进行了学习和验证，实验结果表明，模型选择精度可达到80%以上。

So this paper applied Grey forecasting GM (1,1) model and its generated models, the Grey Markov numerical forecasting model and Comprehension model, to develop a net interest margin change forecasting model, a net interest margin forecasting model, a new decision model concerned with commercial bank interest-sensitive assets portfolio and a new expected return decision model of interest-sensitive assets portfolio.

本文以灰预测GM(1，1)模式，以及其衍生之灰马可夫预测模式与内涵模式，构建新的净利息边际变动率预测模式、净利息边际金额预测模式、利率敏感性资产投资组合最适配置决策模式与利率敏感性资产投资组合最适配置预期报酬率决策模式等利率敏感性缺口管理预测模式。

ANP and CX43 began to express at 2nd week after induction and increased gradually,about 60% of the resulting myogenic cells were positive at 4th week after induction ,they were negative for uninduced cells.hMSCs'surface antigen profiles obtained by Flow Cytometry were negative for CD31\CD34\CD45 before and after induction,but CD90 expressed higher after induction while was weak positive before induction(P.05). Apotosis index was correlated with the cultural time after induction,The apoptosis rate of induced hMSCs was remarkably higher than control group(P.01),and the variation between groups was notable(P.05),the cell cycle analysis showed that the percentages of G_0/G_1phases were reduced significantly after induction. The expresstion levels ofβ-MHC and CTNT mRNA were undetectable before induction,began to increase at 1st、4th week after induction,reached the peak at 6th week and decreased after that,the expression of Bcl-2 and Bax mRNA varied regularly after treated with 5-azacytidine. hMSCs'resting membrane potential、range and rate of depolarization were heightened gradually after being induced.

结果：hMSCs诱导前为纺锤形，诱导后第2天部分细胞即开始发生形变，呈球形或短棒状，1周后胞浆中颗粒增多，约20～30%细胞边缘呈毛刷样变化；hMSCs表面抗原CD31、CD34、CD45在诱导前后差异无统计学意义，CD90未诱导时表达呈弱阳性，诱导后明显增高(P.05)；ANP和CX43在诱导前无表达，诱导后第2周开始表达且表达随时间逐渐增强，但CX43在诱导后第5周表达量开始降低。hMSCs诱导后凋亡指数随诱导后培养时间增加，低浓度诱导组低于标准浓度诱导组，组间差异有统计学意义(P.05)，G_0/G_1期细胞比例诱导后较对照组显著减少(P.05)；β-MHC和CTNT基因分别在诱导后第1周和第4周时表达开始增强，在第6周时均达到高峰，第8周时表达开始衰减，Bcl-2、Bax基因表达呈时间依赖性变化，hMSCs经诱导后随心肌样细胞特征的表达膜静息电位、去极化幅值和去极化速率逐渐增高。

Whereas the sensitivities after 48 h were similar for all media tested (77% for MRSA_ID and ORSA; 73% for C_MRSA and ORSA after enrichment ), the specificities of MRSA_ID (98% after 24 h and 94% after 48 h) and C_MRSA (98% after 24 h and 90% after 48 h) were superior to the specificities of ORSAs (92% after 24 h and 83% after 48 h) and TSB-ORSA (86% after 24 h and 81% after 48 h).

结果所有的培养基在经过48h后得出的敏感性均接近（MRSA_ID 和 ORSA的敏感性为77%； C_MRSA和的敏感性为73%），而特异性则是以MRSA_ID (24 h为98%，48 h 为94%)和 C_MRSA (24 h为98%，48 h为90%)为优，优于ORSAs (24 h 为92%，48 h为83%)和 TSB-ORSA (24 h为86%，48 h为81%)。

Twenty-four hours after the last oral administration, the blood were obtained and used for testing adrenocorticotrophic hormone, cyclic adenosine monophosphate, cyclic guanosine monophosphate, glucose, cholesterol, alanine aminotransferase, urea nitrogen. Results Before taking medicine, model rats' cAMP/cGMP and ACTH were lower than normal rats', and they showed a trend of rise with adding dose. Before taking medicine, model rats' GLU was lower than normal rats'. With adding dose, model rats' GLU increased, however, normal rats' GLU reduced. When taken medium dose white prepared lateral root of aconite, model rats' CHO was higher than normal rats'. Taking medicine made both groups ALT rise, but normal rats' went up more quickly than model rats'. Model rats' BUN was higher than normal rats', and taking low dose or little dose medicine could lead to incline of reduction.

结果 给药前模型组环磷酸腺苷/环磷酸鸟苷和促肾上腺皮质激素低于正常组，随着给药剂量的增加，两者有升高的趋势；给药前模型组血糖低于正常组，随着给药剂量的增加，模型组GLU有升高的趋势，而正常组有下降的趋势；中剂量给药时模型组总胆固醇显著高于正常组；随着给药剂量的增加，2组丙氨酸氨基转移酶均有升高的趋势，且正常组ALT升高的幅度更大；给药前模型组尿素氮高于正常组，低、小剂量给药有降低模型组BUN的趋势。

Based on the analysis of the mechanism of robot manipulators, a trajectory tracking controlling research model is first built up with ADAMS, and its mathematical model is formulated through the study of robot kinematics and dynamics. After the modeling errors are analyzed in practical robotic systems, a conception of centralized error is brought forward according to the theory of weighting functions. In the case of modeling errors' exist, the robotic uncertain model is derived by introducing an auxiliary control variable into inverse dynamic analysis. The control strategy of robust exponential convergence is applied to the robotic uncertain model, the applicable conditions and the applicable controller with this application are presented. The stable control effect under three main model uncertainties (parametric errors, joint disturbs, joint frictions) are systematically studied on the previously built research model. The problems of robust exponential convergence controller which often results in unstable output and so produces a large relative error when the input trajectory is in a small range are resolved by adjusting the control parameters based on the controller's structure.

本文在机械手的机械结构分析基础上，利用ADAMS建立了用于机械手轨线跟踪控制研究的机械手模型；通过对机器人运动学和动力学问题的研究，建立了机械手研究的数学模型；分析了机器人系统中模型误差的主要来源，根据加权函数法分析，提出了模型集中误差的概念；在存有模型误差的情况下，采用逆动力学结构并引入辅助控制量，由机器人误差模型推导了机器人非确定性模型；提出了采用鲁棒指数收敛法对上述机器人非确定性模型进行鲁棒镇定的控制策略，并给出了对机器人进行鲁棒指数收敛控制时系统不确定因素应满足的匹配条件；针对机械手研究模型，深入研究了鲁棒指数收敛控制器对机器人系统中常见的模型参数误差、关节扰动、关节摩擦等不确定因素的镇定控制效果；针对鲁棒指数收敛控制器易产生控制量振荡的问题以及在小范围内系统轨线跟踪的稳态误差过大问题，本文分别提出了基于控制器结构的控制参数调整法和基于轨线跟踪范围大小的控制参数分段切换法。

At leaf scale, TJ photosynthesis model was selected and Gao stomatal conductance model was proved suitable for semi-arid region after comparing with BBL model through the parameter regression and analysis of model sensitivity. Plant physio-ecological characteristics were analyzed based on the parameters gained from the nonlinear regression using TJ model and Gao model with field experimental data. As C4 photosynthesis types Zea mays and Panicum miliaceum 's carboxylation coefficient are bigger than the others.

在叶片尺度上，选择TJ模型作为叶片尺度所使用的光合模型，并对景观模拟中经常用到的Ball-Berry模型和Gao模型进行比较，通过参数拟合和模型的敏感性分析，选择Gao模型作为叶片尺度的气孔导度模型，应用模型模拟的结果，分析了研究区主要植物种的生理生态学特性。C4光合型的玉米和糜子，羧化速率系数大，光合能力强。

Summary In copyright infringement cases,if the alleged infringer uses or even plagiarizes the copyrighted works or parts thereof,which causes no substantially adverse effect on the normal exploitation of the work,nor does it inflict any substantial damages to the right owner,the de minis doctrine should be applied to exempt the liabilities of the defendant and seek the balance of interests between the right owner and the general public embodied by the copyright law.

在侵犯著作权案件中，如果被控侵权行为人虽未经著作权人的同意，使用甚至抄袭了受著作权保护的作品或作品的片段，但若情节轻微，未对该作品的正常使用产生任何实质不利的影响，亦未对权利人的权利造成实质性的损害，则应适用&不计琐细原则&，免除行为人的责任，以寻求在权利人利益与著作权法所体现的社会公共利益之间的平衡。

This new product will become our best seller.

这个新产品会成为我们最畅销的产品。