68 research outputs found

    硝基芳烃类污染物对水生态系统的毒理研究述评

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    硝基芳烃主要通过废水、粉尘、蒸气等形式污染环境,影响人体健康.从其对水生生物(包括生产者、消费者和分解者)的形态结构、生理生化、分子机制和对水生态系统的影响等方面综述了它们的生态毒害和致毒机理

    Analysis of Differential Proteins Between Bursaphelenchus xylophilus and B. mucronatus Using Two Dimensional Polyacryamide Electrophoresis and Mass Spectrometry

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    松材线虫是造成松树萎蔫病的病原,对松林威胁很大。其近似种拟松材线虫与松材线虫在形态学上极其相似,却不具致病性。所以,松材线虫和拟松材线虫的快速检测至关重要。应用双向电泳联用质谱技术,研究松材线虫和拟松材线虫的蛋白差异,并对差异蛋白进行MAldI-TOf/MS分析以及数据库鉴定,共鉴定了45个差异蛋白,其中松材线虫22个、拟松材线虫23个。不仅为松材线虫和拟松材线虫的准确鉴定打下基础,差异蛋白的进一步研究可望揭示松材线虫的致病机理。The plane-parasitic nematode Bursaphelenchus xylophilus is the causal agent of pine wilt disease,which is the most serious conifer disease in the world.However,it is difficult to differentiate isolates of B.xylophilus from the closely related species B.mucronatus,which is not pathogenic to pine trees.So it is very important to distinguish B.mucronatus from B.xylophilus rapidly.The author applied the two-dimensional electrophoresis and mass spectrometry to study the proteomics of the two nematodes,and had obtained 45 differentiate proteins,22 of which were from B.xylophilus and others were from B.mucronatus.The results supplied new insights into the rapid identification of B.xylophilus the virulence of B.xylophilus.国家自然科学基金“‘检测管’诱引松材线虫的机理研究”(30470234

    拟静力方法适用范围及地震力计算

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    通过动力时程方法求出地震作用系数,分析拟静力方法计算偏于保守的原因。并依据动力时程方法的计算结果给出拟静力方法的适用范围并修正拟静力方法的地震作用力和地震作用系数公式。数值模拟结果表明,坡高与波长的比是影响边坡稳定性的重要因素,而坡角对其影响则较小;其次,拟静力方法的适用范围是非常有限的,在坡高很小时,拟静力方法的计算结果偏于危险,当坡高较大时,拟静力方法计算结果偏于保守;在远场和近场地震作用下,地震动加速度峰值系数不同,远场地震主要是水平地震作用力,近场地震主要是竖向地震作用力

    光缆链路PMD<sub>Q</sub>的计算与分析

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    文章介绍了用已成缆光纤偏振模色散(PMD)系数估算链路PMD系数分布的3种方法:蒙特卡罗数值法、伽马分布分析法和模式独立分析法,从而计算出光缆链路PMD系数设计值(PMDQ)。通过3组样品说明了3种方法及其近似解的计算过程和适用条件,分析了PMDQ值与已成缆光纤PMD系数的关系。结果表明,决定PMDQ值的关键因素是已成缆光纤PMD系数的统计分布而不是其平均值

    Error Compensation for Optical Aspheric Surface Metrical Platform

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    根据光学非球面检测平台结构,建立了误差补偿数学模型。用激光干涉仪检测三轴定位误差和直线度误差,采用最小二乘法拟合出多项式系数,得到误差曲线,叠加后实现了误差补偿。测量出3个运动坐标轴两两之间的垂直度误差,采用坐标旋转完成误差补偿。利用机构误差的分析和检定技术,完成非实时误差的补偿。利用标准球做了对比试验。结果表明,经误差补偿后的非球面检测平台精度明显提高。Aimed at the structure of optical aspheric surface detection platform,this paper presented an error compensation model.A laser interferometer was used to detect the three-axis position error and the linearity error,by least square fitting the polynomial coefficients in the error curve,so the superposition error compensation was realized.The vertical errors of the three movement axes were measured,and then the coordinate rotation was made to realize the error compensation.The error analysis and testing techniques were used to complete the nonreal-time error compensation.The results of a standard ball experiment show that the accuracy of aspherical surface detection platform is improved using error compensation.福建省自然科学基金资助项目(编号:2007J0320;2008F3107

    Fe(Ⅱ)-矿物对亚硒酸的还原作用

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    A Dynamic Mass Spring Model for Simulation of Soft Tissue Deformation

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    针对可以用面模型近似表示的软组织,提出一种简单可靠的软组织变形仿真的质点弹簧建模方法。虚拟体弹簧动态地产生一种约束力表现软体的体特征,准静态方法求解模型使仿真效果更好;用修改的蝶形细分方法把比较粗糙的表面网格模型先细分成若干细节层次,仿真时依质点所受力的大小动态细分,以提高模型仿真的精确度。实验表明:所提出的方法确实增强了软组织变形仿真的体积感;局部动态细分模型与粗网格模型的计算量相差甚少,但其计算精度却提高多倍。A simple and reliable mass spring modeling method was proposed,which is adapted to the simulation of the soft tissue that can be approximately represented by surface mesh.The concept of virtual volumetric spring was introduced for simulating volumetric information of the soft tissue first.Then a dynamic local subdivision method was given to improve the simulation precision,which is based on the modified butterfly subdivision algorithm and processed on two-stage offline and online.In the offline stage,the base mesh was subdivided into some level of detail meshes.On simulating the online stage,the local subdivision mesh was generated according to some criteria such as stress strength.The experiment results show that the presented method enhances indeed the sense of volume for soft tissue deformation in real time simulation.The computation cost of the local subdivision model is almost the same as the initial coarser model but performs higher computational precision.国家自然科学基金(60371012);; 福建省科技重点项目(2002Y021);; 厦门市科技计划重点项目(3502Z20041044
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