电位滴定－主成分分析法同时测定磷酸与亚磷酸

提出同时测定磷酸与亚磷酸的一种新方法．该法利用已知混合酸的电位滴定数据建立多元线性回归数学模型，用该模型对未知混合酸中磷酸和亚磷酸进行浓度测定，获得满意结果．     

欠发达县域科技政策制定路径初探——以晋西北老区部分县区为例

文章通过对以晋西北老区部分县区为例的欠发达县域在科技政策体系中的定位,提出了该类型区域在制定科技政策中应当注意的问题及对策,以促进区域科技事业持续发展。     

重油催化裂化稳态过程数据协调与检测

最小二乘估计法和测量数据检验法用于重油催化裂化（ＦＣＣ）稳态过程的数据协调与检测．在正确构造ＦＣＣ系统的拓朴网络结构图之后，运用改进的迭代测量测试（ＭＩＭＴ）算法，成功实现了ＦＣＣ流量数据的协调，保证了数据的真实性和精确性     

单级倒立摆区间值Trapmf-Trimf型模糊控制

给出了区间值模糊控制原理,选择Trapmf型和Trimf型的函数作为输入、输出变量的隶属函数,形成区间结构,设计控制器模块,进行了系统仿真与实时控制实验.实验表明:倒立摆的区间值模糊控制比点值模糊控制表现出较好的性能.     

轻度认知功能障碍11C-PIB PET连续动态显像结果分析

 为探讨轻度认知功能障碍（MCI）患者碳-11标记的匹兹堡化合物B（11C-PIB）正电子放射断层摄影术（PET）显像的特点,评价MCI患者11C-PIB PET脑显像的临床价值,严格筛选3组受试者：MCI患者8例,阿尔茨海默病（AD）对照组6例,健康对照（HC）组7例。每位受试者均采用连续动态采集程序采集脑PET图像。通过视觉分析各组受试者的图像,总结成像特点。采用感兴趣区域（ROI）方法划取大脑皮层各叶和皮层下核团,得出各个脑区不同时间点的标准吸收值（SUV）,根据SUV绘出时间-放射性曲线。并选取45min时间点的SUV,计算出45min时各脑区与小脑的SUV比值并进行统计分析。结果发现,MCI组中一部分受试者PET图像特点与HC组相似;脑内放射性清除较快,而另外一部分受试者的脑内放射性清除则较慢。将MCI按照显像结果分为AD类似组及HC类似组进行分析后发现,AD类似组与AD组之间的清除率及脑区/小脑比值相比差异无统计学意义,而AD类似组与HC组之间的结果比较类似于AD组与HC组的比较结果。HC类似组与HC组之间的清除率及脑区/小脑比值相比差异无统计学意义,而HC类似组与AD组之间的结果比较则类似于HC组与AD组的比较结果。11C-PIB PET脑显像在不同MCI患者脑内的显像特点不同,因而有可能成为判断MCI预后的一种方法。     

鱼塘施放光合细菌条件下浮游植物的变动

于塘泼施光合细菌后浮游植物种类组成及生物量均发生变化。试验表明，泼施光合细菌之后，鱼塘中蓝藻的过量增殖受到限制；绿藻，硅藻等藻类种类及生物量明显增加；优势种群中，鱼类适口性的藻类种类增加，有害种类减少。导致浮游植物种群变化的主要原因、是由于光合细菌在严重营养化的鱼塘中具有明显优化水域环境的作用。     

竹类叶片的内部解剖与系统演化

对２７种竹类叶片解剖的研究后认为，其结构主要分为二型：（１）在前７种竹类叶肉细胞未有分化或少有分化，细胞为放射状，是为原始类型；（２）在２０种其他竹种的叶肉细胞，近上表皮分化为指状臂形细胞，其余无为放射形细胞，是为化类型。     

竹类的营养器官及与生殖器官的内部结构之间相关性的初步研究

本文记载了33种竹类,在这33种竹种中,地下茎有合轴型、复轴型和单轴型三种;地上竿有竿生叶和营养叶。其生殖器官有假花序和真花序。从这些竹种的营养器官的内部结构和生殖器官的真、假花序中探索其演化关系。     

Molecular mapping of QTLs for root response to phosphorus deficiency at seedling stage in wheat (Triticum aestivum L.)

Phosphorus (P) deficiency in the soil is one of the major abiotic stresses that limit plant growth and crop productivity throughout the world. Development of cultivars with improved P-deficiency tolerance is an efficient strategy for sustainable agriculture. Plant roots play an important role in crop growth and development, especially in nutrient uptake and improvement of P-efficiency. Mapping quantitative trait loci (QTLs) for root traits and their response to low P stress at seedling stage will facilitate the development of P-efficient wheat cultivars. In this study, 30 QTLs (LOD>2.0) were mapped for the three root traits, such as root length, root number and root dry matter under different P supply conditions and their response to P-stress. These QTLs were distributed on 14 chromosomes, with each of the 5 QTLs explaining more than 10% phenotype variance. Analyses showed that root traits and their response to P-deficiency were controlled by different QTLs. In addition, alleles with positive effects were separated on both parents, and wheat cultivars with improved P-efficiency could be developed by accumulating these positive effect alleles together.     

Molecular mapping of QTLs for root response to phosphorus deficiency at seedling stage in wheat (Triticum aestivum L.)

Phosphorus (P) deficiency in the soil is one of the major abiotic stresses that limit plant growth and crop productivity throughout the world. Development of cultivars with improved P-deficiency tolerance is an efficient strategy for sustainable agriculture. Plant roots play an important role in crop growth and development, especially in nutrient uptake and improvement of P-efficiency. Mapping quantitative trait loci (QTLs) for root traits and their response to low P stress at seedling stage will facilitate the development of P-efficient wheat cultivars. In this study, 30 QTLs (LOD>2.0) were mapped for the three root traits, such as root length, root number and root dry matter under different P supply conditions and their response to P-stress. These QTLs were distributed on 14 chromosomes, with each of the 5 QTLs explaining more than 10% phenotype variance. Analyses showed that root traits and their response to P-deficiency were controlled by different QTLs. In addition, alleles with positive effects were separated on both parents, and wheat cultivars with improved P-efficiency could be developed by accumulating these positive effect alleles together.