因子模型

Healthy Wistar Rats were chosed to make models of remission stage of asthma,the influence on inflammatory factor and immunological factor in air-way、bronchial and pulmonary pathology after treating with Fang Xiao Mixture were observed,and compared with ketotifen group.

选择健康Wistar大鼠制作哮喘缓解期模型，观察防哮颗粒对模型大鼠气道炎性因子、免疫因子及支气管和肺脏病理学的影响，并与酮替芬阳性对照组比较。

At 0,3,6,9 and 12 weeks after infection,the ELISA was used for the quantitative determination of IFN-γ and IL-4 produced by cultivated spleen cells in vitro after stimulated by soluble worm antigen preparation,soluble egg antigen and Concanavalin A.

为进一步探讨新模型小鼠抗再感染的细胞免疫机制，该研究观察了新模型小鼠脾细胞在体外培养条件下，经可溶性成虫抗原、SEA及刀豆素A刺激后Th1细胞因子和Th2细胞因子IL

There are eight main hypotheses about the selective factors on evolution of endothermy in animals, including Thermal Niche Expansion Model, Homeothermy and Metabolic Efficiency Model, Decreasing Body Size Model, Postural Change Model, Increasing Brain Size Model, Aerobic Capacity Model, Parental Care Model and Assimilation Capacity Model.

内温性起源的选择因子包括8个模型：热生态位扩展模型、恒温与代谢效率模型、降低个体大小模型、姿势改变模型、增加脑大小模型、有氧呼吸能力模型、双亲行为模型和同化能力模型。

In order to find out completely the soil-wheat contaiminated by heavy metals in Tianjin sewage farm, we collect samples on the dry land and examinate contents of heavy metals in soil-wheat system. Firstly, the anthor evaluates that soil irrigated by sewage that has been contaminated slightly, the main polluting factors are Cd and Zn, and then the anthor evaluates soil according to different regions, soil types and irrigating water. Secondly, the anthor analyzes content and enrichment ability of heavy metals in different part of wheat, evaluates wheat is contaiminated by Cd widespreadly, only few samples polluted by Zn.Finally the anthor put up correlative analysis about heavy metal contents in the soil-wheat system, as well as plant enrichment coefficient and some physico-chemical properties of soil, and establishes a prognostic model about heavy metal content among wheat spike, soil, soil types, PH, organic matter and salinity with the quantifying theory.The prognostic accuracy of primarily contaminative factors is the best with compound correlative coefficient examining, the model can be founded.With improvement of living level, people need cleaner food.

为全面了解天津市污灌区农产品生产地土壤和旱地作物小麦的重金属污染状况，我们于2004～2005年对全市污灌区的土壤和小麦进行了采样，在对该区土壤—小麦系统中六种重金属元素(Cd、Cu、Pb、Zn、Cr和Ni)的含量进行检测的基础上，本文首先分析评价了污灌区农田土壤的环境质量总体已达到了轻度污染水平，主要的污染因子是Cd和Zn，同时对污灌区农田土壤分区县、土壤类型和不同灌水类型进行了评价；然后分析了重金属在小麦不同部位的含量与富集能力，评价了污灌区旱地作物小麦普遍遭受了Cd的污染，只有个别样点遭受了Zn的污染；最后对土壤—小麦系统重金属含量间以及植物富集系数与土壤部分理化性质间进行了相关分析，由于土壤类型是定性变量，本论文以数量化理论建立了小麦穗实中重金属含量与土壤中重金属全量、土壤类型、PH值、有机质和全盐量间的预测模型，经复相关系数检验，污灌区主要的污染因子Cd和Zn的预测精度最高，模型可以成立。

The result shows that the human activities are the dominant factors led to arable land and forestland area changing.

同时，建立了耕地、林地面积变化与主要驱动力因子之间的多元线性回归模型，回归模型的系数很好地解释了各因子对耕地、林地面积变化的贡献率。

In order to interpret the impact from different intensity of friction factors on urban development, a new model is developed by adding incidental cost and friction factors to the traditional Thunen Model.

为此，传统的杜能模型需要进行扩展，在原始模型的基础上加入偶然成本以及影响城市扩展的摩擦因子以对其进行完善，以便解释摩擦因子的不同强度对城市扩展的不同影响。

The main work and innovation1 In general , a image compression method has different effect to different image . Some are fit for image which has much high frequency . Some are fit for image which has much low frequency .This paper analysis the applicability of fractal algorithm . In this dissertation , an improved algorithum is given . The basic algorithum without eight change and the joint use of quantitative coding , The compression ratio and PSNR can be adjusted , and it can get more quickly speed of coding .2 To a group of exact fractal code , the decoding image can be any resolution .With this characteristic ,choose the proper domain block and range block,this paper get an algorithum which can get higher decoding PSNR and speed than the basic fractal algorithum.3 Give a new method to calculate the scale factor . The calculation of basic algorithum is complex and enormous . The factor of scale is an important variable of the basic algorithm. Now there are two methods to calculate the factor of scale .A new method was given to calculate the factor of scale. The calculation load and complexity are reduced by the new method. Compared with the basic algorithm , the method can reduce coding time.4 The basic fractal algorithum is based on the Collage theorem and contraction mapping theorem . A mathematic model based on basic fractal algorithum is given .

本文的主要工作及创新点主要包括以下几点：1一般情况下，一种图像压缩的方法对不同特点的图像，压缩效果会有所不同，本文利用分形压缩编码对不同特点的图像进行编码，分析了分形编码对不同图像的编码适用性，利用去掉8种变换的分形编码算法与简单的均匀量化编码方案相结合，得到了一种可以调节压缩比与解码质量的分形编码方案，该提高编码速度6倍以上。2分形编码的特点之一是分形解码的分辨率无关性，即对于一组分形编码可以将其解码到任意分辨率下，本文利用分形编码的这一特点，结合不同的量化编码方案，选择合适的定义域块与值域块及适当的编解码分辨率，得到了一种提高解码质量，编码速度提高12倍以上的加速算法。3比例因子是基本分形算法中的一个重要变量，目前有两种计算比例因子的方法，文中给出了一种新的求比例因子的方法，该方法简化了求比例因子的计算，从整体上减小了基本分形算法的计算量，简化了算法4分形压缩的数学基础是不动点定理与拼贴定理，本文根据基本的自动分形编码方法，建立数学模型对其进行推导，得到了用普通数学的极限理论解释分形编码的数学表达式，从而对由基本分形编码得到的解码图像中的像素点的值给出了确定的表达式。

Establish the steady-state and transient model using the three hydrodynamics equations (Continuity equation, Momentum equation and Energy equation). By comparing different state equation, it selects the BWRS state equation which is considered the most accurate state equation in current natural gas measurement. It calculates compression factor, density and other Thermal parameters based on BWRS state equation. In Numerical solution of the steady-state and transient model, compression factor, friction coefficient and all the other Thermal parameters are recalculated in each small time step to reduce the numerical calculation error.

在稳态模型的建立上，利用流体力学三大方程(连续性方程、运动方程和能量方程)，通过比较不同的状态方程选用了目前被认为最精确的用于天然气计量的BWRS状态方程，并以此方程为基础进行压缩因子、密度等热物性参数的计算；在稳态模型的求解上，选用容易计算，精度较高的标准型龙格—库塔(Runge-Kutta)法进行数值求解，并且在迭代过程的每一小步都重新计算燃气的压缩因子，摩阻系数等所有的计算参数，以减少数值计算的误差。

Based on the collected data of stand growth and environmental factors of 118 sample plots, according to the quantitative theory I , the authors set up the predicting model of self-thinning of Cunninghamia lanceolata plantation, using ten qualitative factors and four quantitative factors which have much influence on forest self-thinning of Cunninghamia lanceolata.

收集了 1 1 8块杉木人工林样地的林分生长和环境因子资料，用环境因子中 1 0个定性和 4个定量因子对杉木人工林自然稀疏具有较大影响的因子，应用数量化理论Ⅰ建立了杉木人工林自疏过程密度变化的预报模型。

The main contents are as follows:Firstly, starting with the general situation of soil erosion and the harms caused by it, the causes leading to the local soil erosion problem are analyzed comprehensively in the paper. And connecting with the measures taking place, sticking points towards the career of soil and water conservation are expatiated upon.Secondly, Back-Propagation Neural Network, One of Artificial Neural Network is used to set up a modal about the connection of the soil erosion modulus and seven factors impacts on it, such as, rainfall, rainfall largest intensity in 30 minutes, runoff coefficient, vegetation cover percent, rate of granule, rate of physical viscidity-clay, the rate of organic matter. Through the comparison with linear regression model, the second regression model, the Chinese Soil Loss Equation, it illustrated that BP Neural Network modal is more accurate than the other three modals in forecasting the mount of soil erosion, and the BP Neural Network will have some applicability in forecasting in soil erosion.

本文以霍山县作为皖西大别山区的典型区域，主要研究了以下内容：(1)从介绍霍山县土壤侵蚀状况以及所造成的危害入手，全面分析了导致当地土壤侵蚀发生的原因，并结合当地采取的水土保持相关措施，阐述了当地水土保持工作的症结所在；(2)结合上土市水土保持试验站多年实测资料和2005年实验资料，应用BP神经网络理论，建立了次降雨土壤侵蚀量与次降雨量、最大30min雨强、径流系数、植被覆盖度等因子之间关系的模型，并通过BP神经网络的预测模型与一次回归模型、二次回归模型、CSLE模型之间的对比分析，说明了建立的BP神经网络模型在土壤侵蚀预测可以取得较回归模型和CSLE模型更高的精度，也说明了BP神经网络理论在土壤侵蚀预报中具有一定的适用性。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。