酵母蛋白质网络的动力学性质

蛋白质-蛋白质、蛋白质-DNA相互作用网络决定了细胞中各种关键功能的执行．基于芽殖酵母(budding yeast saccharomyces cerevisiae)的蛋白质-蛋白质相互作用网络数据和相关的实验文献，我们建立了调控细胞周期和生命周期(cell cycle and life cycle)的蛋白质网络，并利用离散模型研究了该网络的动力学性质，研究表明：细胞周期网络的动力学性质具有很强的稳定性，约94％的蛋白质初态将演化到对应于生物学G1基态的稳定态，使其成为惟一的全局吸引点；同时，绝大多数的初态的演化路径都通过由G1激发态到G1基态的细胞周期演化路径，使细胞周期路径成为全局性的“吸引”路径。     

BIFURCATION DIAGRAMS OF SYSTEM =-y δx lx~2 ny~2,=x ax~2

Ｗｅｃｏｎｓｉｄｅｒｔｈｅｑｕａｄｒａｔｉｃｓｙｓｔｅｍｏｆｔｙｐｅ（Ｉ）ｍ＝０ａｃｏｒｄｉｎｇｔｏｔｈｅｃｌａｓｉｆｉｃａｔｉｏｎｏｆ［１］．Ｗｉｔｈｏｕｔｌｏｓｏｆｇｅｎｅｒａｌｉｔｙ，ｗｅｍａｙａｓｕｍｅｔｈａｔｔｈｅｓｙｓｔｅｍｉｓｔａｋｅｎ...     

4－连通无爪图中的Hamilton圈

Ｍａｔｔｈｅｗｓ等猜想：每一个４－连通无爪图是Ｈ－图．本文证实当Ｇ不含局部连通点及３团时该猜想成立．     

平面2n+1次系统极限环的唯一性

讨论了微分方程组 dx/dt=-y(1 -ax2 n) +bx-cx2 n+ 1,dy/dt=x(1 -ax2 n) ,并且给出了其极限环存在唯一的条件 .     

高功率型镍氢电池的循环性能

由于没有镉污染,对环境友好,用于高功率设备的镍氢电池的需求量增长很快,目前每年的需求量约为5亿只.但是镍氢电池的一些性能还不能完全满足电动工具的使用要求,突出表现在电池大电流充放循环寿命较差.因此,研制高性能的高倍率镍氢电池不仅具有重要的研究意义,也有很大的应用价值.本文研究影响SC型动力电池循环寿命衰减的主要因素,测量了在大电流循环过程中镍氢电池的内阻、温度及重量变化,并运用SEM、XRD对电池内阻升高的原因进行了分析.我们认为电池内阻升高是镍氢电池大电流循环寿命差的主要原因,分析发现在镍氢电池进行大电流充放电循环时,电池正极膨胀,负极微粉化,电池内部孔隙率增加,致使电解液干涸,电池内阻升高.通过增加负极容量,抑制正极膨胀,可以有效改进镍氢电池大电流充放时的循环性能.     

“Optimization of aircraft maintenance/support infrastructure using genetic algorithms—level of repair analysis”

Level of repair analysis (LORA) is an approach used during the design stage of complex equipment for analysis of the cost effectiveness of competing maintenance strategies. LORA is carried as a part of the life cycle cost and cost of ownership analysis and plays a significant role in minimizing the life cycle cost and cost of ownership of the capital equipment. Since many purchasing decisions of complex equipment are based on cost of ownership, it has become essential to carry out LORA to compete in the market. In this paper, we develop a mathematical model for LORA and propose a solution methodology based on genetic algorithms. The concept is illustrated using a hypothetical aircraft engine.     

Determination of the boiling point distribution of sulfur compounds in light cycle oil using GC with a flame photometric detector and pyrolyzer

A method has been developed to determine the boiling point distribution of sulfur compounds in light cycle oils (LCO'S). The method chosen for this analysis was GC with a flame photometric detector (FPD) and pyrolyzer. Tests were carried out to evaluate the recovery efficiency, repeatability, and accuracy of the method. Repeatabilities within 2% were obtained. The recovery of benzothiophenes and dibenzothiophenes was close to 100%; this was important because these are the major sulfur components in LCO's. No hydrocarbon or solvent interferences were observed with the use of the pyrolyzer, even for a 95% solvent level. Comparison with results from other techniques showed that the method accurately determined the levels of sulfur compounds in the LCO boiling point range.     

基于生命周期的虚拟团队管理流程

虚拟团队是一种先进有效的团队管理模式,为了研究如何构建虚拟团队,以及虚拟团队如何管理,通过对塔克曼等人“团队发展阶段模型”的分析和对影响团队效能因素的探讨,结合虚拟团队的特点构建了虚拟团队的管理流程模型,进而提出了基于权威核心的虚拟团队组织形式,并对虚拟团队生命周期的各阶段不同特征进行了具体分析,为虚拟团队的构建和管理提供了一个可行的过程框架．     

排气全燃型联合循环设计点性能简明估计公式

排气全燃型联合循环设计点性能简明估计公式蔡睿贤（中国科学院工程热物理研究所北京１０Ｏ０８０）关键词：排气全燃型联合循环，热力分析主要符号表Ｈｕ燃料热值Ｌ燃料理论空气量ｌ比功Ｐ单位能量价格Ｒ燃气轮机与蒸汽轮机的功率比α过量空气系数β摩尔燃料系数△增量η...     

Isolation and purification of BVⅠ-2H from bee venom and analysis of its biological action

The medical use of bee venom for rheumatoid arthritis ( RA ) has a very long tradition. In this study, isolation and purification of polypeptides from bee venom were carried out on sephadex chromatography, heparin sepharose CL-6B chromatography and HPLC. Several fractions were extracted, and their effects on activation of splenocyte and THP-1 cell were studied. The inhibitory fraction was selected for further studies. Finally, BVⅠ-2H that the HPLC elution profiles was a single peak was isolated by C8 column. ESI- MS detection results showed that BVⅠ-2H was a fraction of bee venom, and the molecular weight of the major component was 644.8. BVⅠ-2H could inhibit ConA-induced splenocyte proliferation, IL-1 production and interfere with splenocyte cycle in mice. Moreover, BVⅠ-2H could inhibit PMA-induced TNFα production in THP-1 cells, which was due to its inhibitory effects on TNFα mRNA expression and protein phosphorylation of IκBα. Our studies indicated that BVⅠ-2H was one of the anti-inflammatory components of bee venom.