青海湖对局地降雪过程中大气特征影响的数值模拟

采用敏感性数值试验的方法,选取发生在青海湖及其附近区域的2次降雪过程,利用非静力中尺度数值模式WRF V3.2,对比分析了青海湖水体分布改变前后局地大气动力和热力特征的变化.结果表明:青海湖在局地近地层有明显的"湖陆风"特征;青海湖水体对局地降雪过程的降雪有一定的增强作用;青海湖水体面积的变化对于改变局地大气的湿度场、动力场、温度场有重要的作用;受大气日变化特征的影响,青海湖水体对降雪的影响机制在白天和夜晚存在差异;青海湖水体的存在,影响的水平范围约为30 km;在垂直方向上,青海湖水体会使白天的边界层高度降低约900 m,夜间增高约300 m.     

蓄能悬架结构参数设计与试验研究

为了分析车辆蓄能悬架的动态性能,应用复域机械阻抗法建立了1／4车辆蓄能悬架系统动力学模型及其结构形式。针对蓄能悬架性能评价指标多、参数多的特点,利用多目标优化法确定了悬架结构参数,在此基础上对该蓄能悬架的性能进行了仿真分析以及台架试验验证。结果表明,理论研究与试验结果较为吻合,所设计的蓄能悬架系统结构简单,容易实现,且设计的悬架参数明显提高了车辆乘坐舒适性,协调了车辆综合性能,为蓄能悬架的应用研究奠定了一定的基础。     

FeO的制备及其室温下稳定性研究

采用草酸亚铁在高纯Ar气条件下加热分解制备FeO,借助于XRD图谱探讨保护气氛对FeO制备的影响以及FeO在常温下存放的稳定性。结果表明,Ar气保护流量低于400mL/min时,产物相除FeO相外,还分别含有Fe3O4、Fe相,甚至有Fe2O3相杂质;较佳的Ar气保护流量为400mL/min,此时制备的FeO纯度高,其他杂质较少。新制备的FeO样品在干燥、潮湿和室内自然环境中保存,90d内未发生明显相的变化。     

基于蚁群优化算法的云计算资源负载均衡研究

针对云数据中心虚拟机分配物理机时存在负载不均衡的问题,提出了一种基于蚁群优化算法的资源调度算法.对问题场景进行了分析,提出了数据中心负载不均衡度以及物理机与虚拟机之间不匹配度的概念,并给出了问题的形式化描述.在蚁群算法选择概率规则中参考了用户对虚拟机资源的需求,尽量避免对相同类型虚拟机部署在一台物理机上,同时对信息素的初始化、信息素的更新进行了改进.通过CloudSim模拟平台进行仿真实验,并与其他的分配算法进行了比较,实验结果表明:该调度算法能够快速地完成虚拟机的放置,并且使云数据中心的物理机具有较低负载不均衡度,提高了资源的利用率.     

基于后缀数组改进的全文索引结构研究

为在网络数据中搜索到所需相关数据, 通过对基于后缀数组的全文索引结构的改进研究, 设计和实现一种降低空间占用率并有效提高索引速度的全文索引结构加权有向词图。通过实验证明, 加权有向词图在相同问题规模下能降低存储空间, 同时不影响检索的效率, 是一种更为高效的全文索引结构。     

含自适应阈值的ARMA网络流量异常检测算法

传统的网络管理方法已不能适应网络复杂性的要求,不能准确刻画网络异常行为,从而影响检测精度.针对这个问题,提出含自适应阈值的ARMA网络流量异常检测算法,利用滑动平均模型预测网络流量,利用中心极限定理确定动态的阈值区间,通过判断网络流量误差是否落在阈值区间作为检测点是否异常的准则.仿真结果表明,该模型能准确地描述网络的运行状况,具有很高的可用性.     

磷石膏脱色增白工艺条件的研究

文章采用煅烧与酸浸相结合的方法开展磷石膏脱色增白工艺条件的研究。以磷石膏白度为主要考察指标,通过单因素条件实验和正交实验,分别考察了煅烧温度、煅烧时间、酸浸时间、酸浸温度、硫酸质量分数和液固比等因素的变化对磷石膏白度的影响,所确定的较佳脱色增白工艺条件为:煅烧温度600℃、煅烧时间70min、酸浸时间3.5h、酸浸温度90℃、硫酸质量分数35%、液固比4∶1。此条件下的重复实验结果表明,磷石膏的白度可由33.0%提高到89.8%。     

基于需求分析视角的科技人才创新创业激励机制研究

在对覆盖浙江全省11个市(地)共2 323名科技人才激发其创新创业机制现状调查的基础上,从当前存在的主要困难、制约因素及对政府改进工作期许等方面,分析了科技人才创新创业需求。基于难于争取到项目和经费不足的主要困难,科研激励机制不完善、项目等科技资源分配不合理的主要制约因素,以及最希望政府优先建立完善公平合理的科技立项程序与审批制度、科技成果的评价和奖励制度的重点需求,针对性提出了关于激励科技人才创新创业机制的政策建议。     

Construction of Streptomyces lydicus A01 transformant with the chit33 gene from Trichoderma harzianum CECT2413 and its biocontrol effect on Fusaria

Streptomyces lydicus A01 resists many plant pathogens (including Fusarium spp.) by producing the antifungal agent natamycin, which binds to the ergosterol of fungal cell membranes and inhibits the growth of pathogens. Trichoderma harzianum CECT2413 is a widely-distributed soil fungus that antagonizes several plant fungal pathogens (including Fusarium spp.) by producing chi-tinase and degrading chitin, a major component of the fungal cell wall. This study attempted to enhance the biocontrol effect of S. lydicus A01 on Fusarium spp. by transforming the chitinase gene of Trichoderma. Chitinase and natamycin could act synergisti-cally on both the cell walls and cell membranes of pathogens. The 33-kD chitinase-encoding gene (chit33) was cloned and conju-gal-transformed from T. harzianum CECT2413 to S. lydicus A01, and then confirmed via polymerase chain reaction (PCR) assays. Subsequent analyses using the 3,5-dinitrosalicylic acid (DNS) method and ultraviolet spectrophotometry showed that compared with its wild type strain (WT), the S. lydicus A01 conjugal transformant (CT) with chit33 gene exhibited substantially higher chi-tinase activity and natamycin production. The resistance of S. lydicus A01-chit33 CT and WT to four Fusaria in crops and vegetables was tested via the cup-plate method. Compared with the WT, the conjugal transformant of S. lydicus A01 with chit33 gene from T. harzianum CECT2413 showed greatly increased biocontrol effect on fusarium disease. This study would be beneficial to the development of high-quality antifungal bio-agents for agricultural applications via the synergy between the previously non-existent and pre-existing functions achieved through heterogeneous gene transformation.     

Generalized multiparticle Mie modeling of light scattering by cells

The development of nanobiology requires a fundamental understanding of the interaction features between light and cells as well as cells containing nanoparticles. In this study, the generalized multiparticle Mie (GMM) theory was employed to calculate the scattering properties of cells under refractive index matching conditions. The angular distribution of scattered light is statistically averaged to obtain a good fit for the experimental results. Based on a simplified cell model, the variabilities between the scattered light pattern of normal cells and that of cancerous cells were examined. The results indicate that the small angle scattering is sensitive to the organelle distribution, which could be applied in the diagnostics of cancerous cells. Finally, the effects of cellular uptake of nanoparticles on the scattering pattern was also investigated.