Material and Energy Conversion of Integrated 100,t/a-Scale Bio-Jet Fuel-Range Hydrocarbon Production System via Aqueous Conversion of Biomass

以农业废弃物生物质为原料，利用水相转化技术，进行了百吨/年规模生物航油类烃(C8~C15)合成试运行.过程中采用两步酸解法分别将玉米秸秆中半纤维素和纤维素转化为糠醛和乙酰丙酸，作为生物质基平台化合物.在碱性条件下糠醛与乙酰丙酸经Aldol缩合反应实现碳链增长，生成的长链含氧中间体经过低温预加氢、高温加氢脱氧及精制，生成C8~C15范围内液态烃，可作为生物航油组分.以试运行实验结果为基础，进行了过程的物质与能量转化分析.结果表明，该路线获得液态烃类的基本性质满足合成航油ASTM-7566标准要求，并充分利用了原料中纤维素和半纤维素组分，是一条基于生物质的长链液态烃合成路线，1t航油约需10~12t干基玉米秸秆

关于理财目标与公司治理结构的思考

由厦门大学会计发展研究中心提供的第五届会计与财务问题国际研讨会——当代管理会计新发展论文集中的第四部分：管理会计创新及相关模式6文章根据委托代理理论原理分析了公司治理结构与公司理财目标的关系，寻求探索所有者与经营者理财目标的交合点，建立所有者与经营者财务目标动态平衡模型，并试图通过重新定位所有者与总经理、总会计师的关系，以总会计师为载体，完善现代非对称信息环境中的企业激励与约束机制，协调企业经营者与所有者理财目标，从而提高企业资源配置效率

Methods for Highly Fluorescent Noise Reduction in Microarray Images

基因芯片图像噪声处理决定了后续处理与分析的精度和准确性.高亮斑点噪声是一种亮度很高、成块状的特殊噪声,应用传统噪声处理方法无法滤除.针对高亮噪声的特点,首先利用形态学碟形结构元素进行开运算来评价图像是否含有噪声,然后利用阈值分割去除噪声.提出两种阈值获取方法,一种是基于最大类间方差的自适应获取方法,一种是固定阈值法.通过大量定性和定量实验比较分析,结果表明,两种方法都可以有效除高亮斑点噪声.Microarray image noise reduction determines the precision and veracity of microarray data processing and information extraction.Highly fluorescent noise is a type of special noise with higher brightness and shape in block which can′t be removed by traditional methods.According to the feature of it,this paper proposes that using mathematical morphology opening operator with disk structure element to evaluate image quality,then suppress the noise with thresholding segmentation techniques.Two methods are put forward to get threshold:one is the adaptive method based on maximum variance between clusters,another is the fixed means.Through comparison and analysis,the lots of experiment results show that both two methods can effectively remove the highly fluorescent noise and preserve edge and detailed information.国家自然科学基金(60443004);重庆市自然科学基金(2007BB2415)资

LIVING COCCOLITHOPHORES IN THE WESTERN SOUTH CHINA SEA IN SUMMER 2007

首次报道了南海西部上层水体今生颗石藻的物种组成、群落结构和分布。根据2007年9月在南海西部海域(11°—15°n,110°—114°E)32个站位采集的200M以浅208个颗石藻样品在偏光显微镜下的分析结果,研究了该海域颗石藻群落特征,并进行了颗石藻与环境因子的典范对应分析(CCA)。调查区共发现20种今生颗石藻,其优势物种为赫氏艾密里藻EMIlIAnIA HuXlEyI(lOHMAnn)HAy ET MOHlEr、大洋桥石藻gEPHyrOCAPSA OCEAnICA kAMPTnEr、深水花球藻flOrISPHAErA PrOfundA OkAdA ET HOnJO、纤细伞球藻uMbEllOSPHAErA TEnuIS(kAMPTnEr)PAASCHE和艾氏桥石藻gEPHyrOCAPSA ErICSOnII MCInTyrE ET bé。本次调查中,今生颗石藻的细胞丰度在2.97—32960.06CEllS/l之间,平均值为3340.75CEllS/l。整个研究海域中,今生颗石藻的分布呈现出一定的团块分布现象,调查区大部分站位均是赫氏艾密里藻和大洋桥石藻占有较高的相对细胞丰度,这两种藻的分布刻画了整个今生颗石藻群落在调查区的分布,它们多分布在50M和75M水层,且集中在西北部和西南部,水柱积分颗石藻平面分布也是如此。与以上两种藻的分布不同,深水花球藻则多分布于50M以深至200M,特别是50—75M水层的西北和东南部海域,而纤细条伞球藻则多集中在调查区25M水层的北部海域。We carried out an investigation on living coccolithophores(LC)and their community structure in western South China Sea(11°—15°N,110°—114°E)in summer 2007.208 samples from the upper seawaters(less than 200 m depth)were taken at 32 grid stations.A total of 20 taxa belonging to Coccolithophyceae were identified by filtered samples under polarizing microscope.The common species were Emiliania huxleyi(Lohmann)Hay et Mohler,Gephyrocapsa oceanica Kamptner,Florisphaera profunda Okada et Honjo,Umbellosphaera tenuis(Kamptner)Paasche and Gephyrocapsa ericsonii McIntyre et Bé,etc.among which E.huxleyi and G.oceanica were dominated.The average cell abundance of LC was ranged from 2.97—32960.06 cells/L,with an average 3340.75 cells/L during this investigation.The space pattern of LC was patchness and mosaicism with relative high density.E.huxleyi and G.oceanica were distributed widely and abundantly at each station,which can represent the pattern of LC during the investigation,and mostly thrived at 50 and 75 m depth in the northwest and southwest part of the survey area.Differently with the above two coccolithophores,F.profunda was mainly distributed in water depth deeper than 50 m,especially between 50 and 75m in the northwest and southeast part of the survey area,and U.tenuis in shallow water above 25m depth in the north part of the survey area.国家自然科学基金项目;40776093、405210003和90711006号;中国科学院知识创新重点项目;KZCX2-YW-QN205号;国家重点基础研究发展计划(973)项目;2009CB421202

高效液相色谱法测定黄芪注射液中黄芪甲甙的含量

本文报道用高效液相色谱法测定黄芪注射液中黄芪甲甙的含量。色谱柱为:NOVA-PAK C_(18)4μm(4.6mm×250mm);流动相:乙腈-0.1％磷酸(33:67),205nm检测,外标定量。结果表明,建立的方法完全适用于黄芪注射液中黄芪甲甙的含量测定。其方法快速、灵敏、重现性好