排气动力效应在二冲程摩托车上的应用

排气动力效应对于二冲程摩托车的性能有很大影响，特别体现在排气净化消声器的结构设计中，设计得合理，将会在保证排放控制的前提下，动力性和经济性比原车都有所改善，已经通过模拟计算及实践获得了证明。     

汽车轮胎结构非线性有限元分析

本文综述了轮胎力学的发展历史与现状，阐明了轮胎结构分析的几各主要方法、研究内容及其优缺点，并重点介绍了在子午三维非线性有限元结构分析方面的工作，包括轮胎的充气，竖直加载、稳态滚动、滚动阻力及温度场分析，给出了相应的算例。由于采用一些新的方法和技术，考虑了更真实的轮胎材料模型，结构和载荷，使得分析更为有效、精确，分析结果可作为轮胎的设计，试验与改进的依据。     

TNFα、Leptin-Rb、NF-κB和PPAR-γ在酒精性肝病大鼠肝细胞中的表达

目的 探讨TNFα、NF-κB、Leptin-Rb和PPAR-γ等在大鼠酒精性肝病中与肝组织炎症、坏死和纤维化的关系.方法 胃造瘘法建立长期大鼠酒精性肝病模型,分别在第4、8、12、24和52周用免疫组化、原位杂交和RT-PCR技术检测不同阶段大鼠肝组织中TNFα、NF-κB、PPAR-γ和Leptin-Rb等的表达.结果 TNFα、NF-κB和Leptin-Rb水平在模型组大鼠肝细胞中,第8周表达逐渐增强,第24周起高水平表达一直持续至52周(P<0.01).PPAR-γ在对照组和第4、8周模型组肝细胞中表达最强,第12周表达开始减弱.TNFα和NF-κB在肝细胞中的表达呈明显正相关关系,与PPAR-γ则呈负相关关系(P<0.01).结论 TNFα和NF-κB与肝细胞病变程度有很好的一致性关系,Leptin-Rb在肝细胞的表达与肝纤维化发展相一致,PPAR-γ则刚好相反.     

Study on T lymphocyte subsets and NK cells in patients with Graves＇ disease combined with type 2 diabetes

Objective To investigate changes in T lymphocyte subsets and NK cells in patients with simple Graves' disease (GD)and Graves' disease combined with type 2 diabetes mellitus (GD/T2DM). Methods Fifteen cases of GD/ T2DM were selected from our hospital from November 2001 to November 2004. Before and after therapy thyroid function, thyroglobulin antibody (TGA), thyroid microsomal antibody (TMA) and blood glucose level were measured, and T lymphocyte subsets (CD3, CD4, CD8, CD4/CD8) and NK cells (CD56) were measured by immunofluorescence double labeling monoclonal antibody and flow cytometry, respectively. At the same time, comparison was made with simple GD (15 cases), T2DM (15 cases) and healthy control (20 cases). Results Before therapy, CD4/CD8, CD4 and NK cells in GD/T2DM were less than normal, and there was no significant difference in comparison with simple GD (P<0.05). In T2DM group, only CD4/CD8 and CD4 were less than those of healthy controls (P<0.05). When thyroid function recovered after 1 to 3 months of methimazole treatment in both GD/T2DM and simple GD groups, various indexes recovered, which were more obvious in simple GD. Conclusion Immune hypofunction of GD may be the key to the immune abnormality of GD/T2DM, which is more significant than that of simple GD or T2DM. The recovery of thyroid function and immune abnormality is not consistent, and the recovery of GD is more significant than that of GD/T2DM.     

饲料加硼对摄入过量氟的实验大鼠骨损伤的预防作用

目的探讨饲料加硼对过量氟摄入的大鼠骨损伤的预防作用。方法24只4-5周龄Sprague-Dawley(SD)大鼠分为:对照组(喂饲基础饲料,饮蒸馏水)、过量氟组[喂饲基础饲料,饮含100mg/LF-(氟化钠221mg/L的蒸馏水)]、硼预防组(喂饲加硼饲料,饮含100mg/LF-的蒸馏水)。实验3月后测量大鼠血清氟、硼含量及血清碱性磷酸酶(alkaline phosphatase,AKP)活性、骨氟和骨总RNA含量、胫骨纵径横径和干重及骨密度(bone mineral density,BMD),并检测大鼠股骨生物力学特性。结果和对照组比较,过量氟组大鼠血清氟、骨氟含量和血清AKP活性显著增高;骨总RNA含量、全身骨骼平均BMD和胫骨BMD降低;胫骨纵径、横径和干重减小;股骨最大负荷减低,最大形变增加。相比过量氟组,硼预防组大鼠血清氟和骨氟含量及AKP活性明显下降;骨总RNA含量、全身骨骼平均BMD、腰椎和胫骨BMD显著增高;胫骨纵径、横径和干重,股骨最大负荷明显增加。3组大鼠血清硼含量无显著性差异。结论大鼠摄入过量氟可出现明显的骨损伤,饲料加硼对此有一定的预防作用。     

海底埋设管线平管起吊运动分析

基于有限元软件OrcaFlex,充分考虑不规则波浪、海流、管土相互作用以及船舶管线耦合运动,建立海底埋设管线平管起吊模型。参考DNV-RP-F110计算埋深管道受到的土壤阻力,依据DNV-RP-C205确定相关水动力系数。通过数值模拟研究分析管线在平管起吊过程中管道的运动响应以及吊绳张力的时间历程变化,为实际海底管线平管起吊提供一定理论参考。     

Application of H infinite control to ship steering system

1Introduction Whensailinginwaves,thestateofshipsteeringisina constantdirectionmostly.Intheconditionofexisting thedisturbanceofwave,windandflow,theship shouldkeepacertainheadingprecisionunderthecon trolofauto pilot.Alongwiththevariationofshipload condition…     

基于设施属性的城市轨道交通融资模式

以项目区分理论为理论基础,从轨道交通的基本属性入手,按照可经营性和可拆分性对轨道交通基本设施进行分类,对不同属性的设施进行组合.按照所有权和经营权是否转移,将各种适用于轨道交通的融资方式进行分类;并将两者进行匹配,提出了符合轨道交通客观发展规律、可供轨道交通建设发展采用的多元化融资模式及其评价方法.     

公路隧道安全模糊评价方法

分析了公路隧道安全评价方法,针对公路隧道事故的多发性及其安全的重要性,提出对于公路隧道安全这个复杂的多因素、多变量、多层次的人机系统,运用模糊数学方法进行安全评价,建立评价模型,并运用该模型对运营中的公路隧道进行安全评价,得到了符合实际的安全现状评价结果。     

An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks

As intelligent transportation systems (ITS) approach the realm of widespread deployment, there is an increasing need to robustly capture the variability of link travel time in real-time to generate reliable predictions of real-time traffic conditions. This study proposes an adaptive information fusion model to predict the short-term link travel time distribution by iteratively combining past information on link travel time on the current day with the real-time link travel time information available at discrete time points. The past link travel time information is represented as a discrete distribution. The real-time link travel time is represented as a range, and is characterized using information quality in terms of information accuracy and time delay. A nonlinear programming formulation is used to specify the adaptive information fusion model to update the short-term link travel time distribution by focusing on information quality. The model adapts good information by weighing it higher while shielding the effects of bad information by reducing its weight. Numerical experiments suggest that the proposed model adequately represents the short-term link travel time distribution in terms of accuracy and robustness, while ensuring consistency with ambient traffic flow conditions. Further, they illustrate that the mean of a representative short-term travel time distribution is not necessarily a good tracking indicator of the actual (ground truth) time-dependent travel time on that link. Parametric sensitivity analysis illustrates that information accuracy significantly influences the model, and dominates the effects of time delay and the consistency constraint parameter. The proposed information fusion model bridges key methodological gaps in the ITS deployment context related to information fusion and the need for short-term travel time distributions.