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Five main stalk crops planted in northern China including wheat, corn, broomcorn, soybean, and millet, were chosen to be the samples of the experiments. About seven morphological traits (such as plant height, ear length, ear weight, moisture content and so on) were measured in the crop mature period. The maximum shear force during shearing process, through static test equipment, at the second internode of the basal stalk, was recorded. And shear strength of each crop was calculated to find the differences of shear strength among different crops. The optimal regression models of shear force and morphological traits were obtained by multiple linear regression method with Statistics Analysis System. The equation based on the regression models was constructed.

本文以北方主要茎秆作物(小麦、玉米、高粱、大豆、谷子)为研究对象,试验测定了成熟期茎秆基部第二节间的最大剪切力及株高、穗长、穗重、含水率等七种形态特性指标,获得了静载情况下相关样本的剪切强度;分析比较了不同茎秆作物剪切强度的差异性,并利用SAS软件对茎秆作物剪切力与形态特性指标进行了多元线性回归,得到了剪切强度对形态特性指标的最优回归方程。

The endogenous level of IFN-γis an important index of body's cellular immune status. The quantitative determination of IFN-γconcentrations has very significant theorical and practical values in immune mechanism research,immune function assay,the efficacity evaluation of vaccine,transplant operation,hypersensitive reaction and intracellular pathogen diagnosis.

研究表明,内源性IFN-γ水平的高低在很大程度上可以反映机体的细胞免疫状态,因此对样本中的IFN-γ进行定量分析,在免疫机制研究、免疫功能分析、疫苗免疫效果评估、器官移植、过敏反应以及多种胞内病原感染的诊断等方面都具有极其重要的理论价值和应用价值。

Epidermolysis bullosa is normally diagnosed on a combination of the clinical symptoms and family history, with a skin tissue sample and mutation analysis.

大疱性表皮松解症通常是诊断上的结合临床症状及家族病史,与皮肤组织样本和突变分析。

In this thesis we focused on the research of spectral distribution of large dimensional matrix and its application in multivariate statistical analysis.

本文的研究工作主要集中在大维样本协方差矩阵谱分布的理论研究及其在多元统计分析中的应用。

In view of the existing problems of traditional resource allocating networks, a design method for RAN based on rough set and orthogonal least square was proposed. Firstly, rough set was applied to intelligent data analysis for extracting typical characteristics from the training samples, and then OLS was used to select best centers as the hidden layer nodes.

针对常用的资源分配网络存在的问题,提出了一种基于粗糙集和正交最小二乘的资源分配网络设计方法,通过粗糙集数据分析与处理提取训练样本中典型的数据特征,再结合正交最小二乘学习算法选取对输出能量贡献最大的数据中心加入到隐层节点。

In view of the existing problems of traditional resource allocating networks, a design method for RAN based on rough set and orthogonal least square was proposed. Firstly, rough set was applied to intelligent data analysis for extracting typical characteristics from the training samples, and then OLS was used to select best renters as the hidden layer nodes.

针对常用的资源分配网络存在的问题,提出了一种基于粗糙集和正交最小二乘的资源分配网络设计方法,通过粗糙集数据分析与处理提取训练样本中典型的数据特征,再结合正交最小二乘学习算法选取对输出能量贡献最大的数据中心加入到隐层节点。

According to the samples of Ommastrephes bartramii collected by Chinese squid jigging vessels during July to October in 2007 in the northwest Pacific Ocean, the ratio of statolith maximum width to total length, as an indicator of shape change of statolith, was analyzed under different sex maturitiy stages and individual sizes using the method of ANOVA and LSD.

本文根据2007年7~10月我国鱿钓船在西北太平洋海域连续采集的柔鱼样本,以耳石最大宽度MW与其总长TSL之比作为其耳石形态变化的指标,利用方差分析和最小显著差法研究了性成熟和个体大小对耳石形态的影响。

Thirty-eight collections of Chinese orchids in Yunnan Province, China, including 14 species and 3 varieties, were analyzed phylogenetically using AFLP technique.

采用AFLP技术对云南省兰属的14个种和3个变种中的38份样本进行了亲缘关系分析。16对AFLP引物扩增的条带聚类结果表明,云南省国兰遗传多样性非常广泛,相同品种间的不同个体扩增出的条带模式相差很大。

For strong convective weather , it classified all historical sample events into 4 weather patterns (like northwest , trough area ,west wind and southwest current), established 4 characteristic fields of 400hPa height of HLAFS , then according to the principle of the pattern match calculate and compare the real-time HLAFS forecast products-2-using the similar method inside the big and small key areas , establish forecast equation , finally gain conclusion .To duststrom weather, the historical samples were sorted into duststrom and severe duststrom types in 5 regions (they are whole area, west, central, middle-west and middle-east of Inner Mongolia ),moreover set up different sample databases about ECMWF fields (including 500hPa height, 850hPatemperature and sea-level pressure).In order to making duststrom forecast at different time level , we first filtered the real-time data by FAX data ,and then used the method of similar range degree to compare the historical data to the actual data of ECMWF .To precipitation weather ,they were divided into 2 types that suit or unsuit airplane artificial precipitation stimulation in line with their emergence time and district .The appropriate weather physical factors come from T106 were chosen to establish the artificial precipitation stimulation prediction model . In the actual application , we can get prediction result as long as use the real-time forecast data of T213 in the prediction model .

针对强对流天气将历史样本天气分为西北气流型、槽区型、西风气流型和西南气流型等4个类型,并建立其HLAFS资料400hPa四种特征场,按照模板匹配的原理,用相似分析方法在大、小两个关键区中对实时HLAFS预报产品进行计算、比较,再建立预报方程,得出结论;对沙尘暴天气将其按区域分为全区、西部、中部、中西部以及中东部5类,再按强弱分别分为强和一般2类,建立ECMWF的3个场(500hPa高度场、850hPa温度场和海平面气压场)的历史资料库,在用传真资料消空之后,用相似离度方法计算实时ECMWF资料,做出不同时次的预报;对降水天气按出现时间和区域分为适合和不适合飞机增雨作业2类,选择T106资料中恰当的气象物理量因子,用BP神经网络算法建立人工增雨降水预报模型,实际应用中将实时T213相关预报资料代入预报模型即可。

The empirical part choose 100 listed companies in Shanghai Stock Exchange market as the samples, analyzing their annual report data of 2005,2006 and 2007, using least squares regression analysis. I chose seven items to reflect the character of corporate governance. They are shareholding ratio of the biggest holder, the proportion of outstanding shares, the design of the Audit Committee, the general manager and chairman of the settings, the scale of the Board, the proportion of independent directors, and the share of executives.

实证部分以上海证券交易所上市的100家中国上市公司为研究样本,采用这些上市公司2005、2006和2007年的年报数据,运用最小二乘法进行回归分析,解释变量分别是第一大股东持股比例,流通股比例,高管人员持股比例,总经理与董事长的设置情况,独立董事比例,董事会规模,是否设计审计委员会。

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Since historical times,England ,where the early inhabitants were Celts, has been conquered three times .

从有历史以来,英国,在此地早期居住的是凯尔特人,已经被征服了三次。

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