Screening of extraction methods for glycoproteins from jellyfish (Rhopilema esculentum) oral-arms by high performance liquid chromatography

In order to select an optimum extraction method for the target glycoprotein (TGP) from jellyfish (Rhopilema esculentum) oral-arms, a high performance liquid chromatography (HPLC)-assay for the determination of the TGP was developed. Purified target glycoprotein was taken as a standard glycoprotein. The results showed that the calibration curves for peak area plotted against concentration for TGP were linear (r = 0.9984, y = 4.5895x+47.601) over concentrations ranging from 50 to 400 mgL-1. The mean extraction recovery was 97.84% (CV2.60%). The fractions containing TGP were isolated from jellyfish (R. esculentum) oral-arms by four extraction methods: 1) water extraction (WE), 2) phosphate buffer solution (PBS) extraction (PE), 3) ultrasound-assisted water extraction (UA-WE), 4) ultrasound-assisted PBS extraction (UA-PE). The lyophilized extract was dissolved in Milli-Q water and analyzed directly on a short TSK-GEL G4000PWXL (7.8 mm×300 mm) column. Our results indicated that the UA-PE method was the optimum extraction method selected by HPLC.     

Methods Comparison for Microsatellite Marker Development： Different Isolation Methods, Different Yield Efficiency

Microsatellite markers have become one kind of the most important molecular tools used in various researches. A large number of microsatellite markers are required for the whole genome survey in the fields of molecular ecology, quantitative genetics and genomics. Therefore, it is extremely necessary to select several versatile, low-cost, efficient and time- and labor-saving methods to develop a large panel of microsatellite markers. In this study, we used Zhikong scallop (Chlamys farreri) as the target species to compare the efficiency of the five methods derived from three strategies for microsatellite marker development. The results showed that the strategy of constructing small insert genomic DNA library resulted in poor efficiency, while the microsatellite-enriched strategy highly improved the isolation efficiency. Although the mining public database strategy is time- and cost-saving, it is difficult to obtain a large number of microsatellite markers, mainly due to the limited sequence data of non-model species deposited in public databases. Based on the results in this study, we recommend two methods, microsatellite-enriched library construction method and FIASCO-colony hybridization method, for large-scale microsatellite marker development. Both methods were derived from the mi-crosatellite-enriched strategy. The experimental results obtained from Zhikong scallop also provide the reference for microsatellite marker development in other species with large genomes.     

上海洋山建港后港域夏季水文泥沙状况分析

对2007年9月17-26日在上海洋山港海域固定观测点(平均水深13 m)观测得到的水文泥沙要素,以及悬沙和底质样品分析.分析结果为:1)港域有效波高0.21-1.37 m(风速0.6～14.0 m/s),平均0.61 m(平均风速5.5 m/s).平静天气(平均风速小于5.0 m/s)下,波高随水深变化,两者的相关系数为0.899;而在强风天气下,波高受风况控制.2)最大表层流速超过2.00 m/s.大潮涨潮流占优势,小潮时落潮流占优势;与北岛链汉道封堵前相比,大潮涨、落潮平均流速分别减小15%和30%,小潮涨、落潮平均流速均减小30%～40%.各层余流均为西北方向,与涨潮流方向一致;垂向平均余流速0.11 cm/s,表层达0.25 m/s.3)离底高程1.35 m层和0.35m层最大悬沙浓度均大于3 kg/m3,两层平均悬沙浓度分别为0.89和0.95 kg/m3.无论大潮还是小潮涨潮悬沙浓度均大于落潮,这种现象在大潮时更为显著,潮周期中最大悬沙浓度出现在涨急.与工程前相比悬沙浓度明显降低,大、小潮降低均达20%.4)港区底质平均粒径9.0μm,工程后有变细的趋势.     

提高航迹计算精度的方法研究

分析了传统的航迹计算方法存在的系统误差,引入了符号形式的子午线弧长正反解公式,推导出了可以消除该误差进而提高航迹计算精度的精确墨卡托航法。算例分析表明,该方法可以解决航海上不同地球参考椭球下的航迹计算问题,反解精度高达10^-4 m。     

改进的单纯形法及其在非线性参数估计中的应用

采用了改进的单纯形法,该算法利用遗传算法的变异操作来增强单纯形法的全局搜索能力,既兼顾了全局收敛性,又具有高效的局部搜索能力。并通过实例验证了该算法的优越性,以及应用于测量上的非线性最小二乘估计的可行性。     

深基坑开挖与支护的有限元模拟

采用弹塑性有限单元法对超大基坑的开挖与支护进行数值模拟,据此分析土体的位移、主应力分布、施工过程中支护结构受力,并比较基坑顶部水平位移的计算值与实测值,两者非常接近,计算结果较为理想,可为工程设计和现场施工提供理论参考和指导.     

局部最优估计的参数求解方法

结合了飞行器轨道拟合的实际问题,介绍了在约束条件下基于局部最优估计的参数求解,阐述了其经验和方法。     

一种获取Klobuchar电离层改正模型的新方法

介绍了利用松弛搜索法对Klobuchar模型的参数进行拟合,并利用IGS提供的IONEX格式对全球电离层数据进行试验分析,获得了可靠的结果。     

利用GPU实现基于物理模型的流体运动仿真

纳维-斯托克斯方程是描述流体运动的基础物理模型。首先简要介绍了在计算机上实现该模型的数值解算方法。在流体运动的计算机视觉仿真中,密度渲染才是最终结果,因此,又阐述了流体的密度场与速度场的关系,并且给出了流体仿真的基本流程。由于可编程图形处理器(GPU)具有并行性和速度快等特点,流体模拟的解算和渲染在图形处理器上运行更加高效,但是利用GPU编程实现流体仿真必须要实现3个核心转换,最后以支持3维纹理的Direct3D10为例,给出了利用GPU实现流体运动仿真两个简单实例。