查询词典 regression function

Our study shows that Bax ,the protein of accelerating apoptosis, may participate in the proliferation and regression of hemangioma. 2 The expression of TGFβ1 in the involuting phase was higher than in the proliferative phase, the difference was statistically significant, p＜0.01. 3 This shows that Bax and TGFβ1 may be the important factors which cause the apoptosis of hemangioma and accelerate its regression as well.

1 Bax在血管瘤增生晚期开始表达，至退化期Bax的表达达到高峰，提示Bax这种促进细胞凋亡的蛋白参与血管瘤的增生与退化过程。2 TGFβ1在血管瘤退化期的表达高于增生期，差异有统计学意义，p＜0.01.3 提示Bax与TGFβ1可能是引起血管瘤凋亡，进而促进其退化的重要因素。

objective:to investigate the expression and significance of rb in the occurrence, development and regression of infantile hemangiomas.methods:the expression of rb was examined in the proliferative stage and catagen of human hemangiomas and normal skin tissues by using immunohistochemical technique.immunohistochemical technique for factorⅷ-related antigen was used to prove that the cells which expressed rb were endothelium.image analysis system was applied to measure the expression level of rb at different stages of hemangiomas and in normal skin tissues.results:the expression of rb was significantly lower in proliferating hemangiomas than that in involuting hemangomas(p.05).conclusion:rb might play an important role in the regression of human hemangioma endothelial cells and anti-angiogenesis.

目的：探讨rb蛋白在血管瘤发生、发展及退化过程中的表达状况及其意义。方法：采用免疫组织化学方法检测人皮肤血管瘤增生期、退化期及正常皮肤组织中rb的表达水平，并结合第ⅷ因子相关抗原的免疫组织化学染色证实表达rb的细胞是血管内皮细胞。利用计算机图像分析技术测量不同时期血管瘤组织和正常皮肤组织rb表达的积分光密度和面积。结果：增生期血管瘤内皮细胞rb表达水平低于退化期，差异有显著性（p.05），退化期血管瘤内皮细胞rb表达水平与正常皮肤组织相比，差异有显著性（p.05）。结论：rb通过抑制血管瘤内皮细胞增殖和血管生成而在血管瘤的退化过程中起重要作用。

In practical work, we can fit the empirical equation of regression according to least square method when we use the old data, and needs to make the Real-time treatment for new acquired data in the light of the equation, namely, we need combine new acquired data with the original data, then infer the new empirical equation of regression.

在实际工作中，当我们用旧数据根据最小二乘法拟合出经验回归方程后，常常获得一些新的数据，需要对新获得的数据进行实时处理，即要把它和原有数据结合在一起算出新的经验回归方程。

The application of multivariate linear regression'and univariate multipower regression to research and manufacture of new products is introduced.

论述了多元线性回归和一元多次方回归在新品研制和生产实践中的应用；编制了程序，能自动拟合回归方程。

It chooses the number of landscape types as human interference factors to construct artificial neural network model, multi-model adaptive regression splines, support vector machine model and projection pursuit regression model to respectively analog analysis human disturbance on the impact of the landscape diversity, dominance and evenness.

选择景观类型数量作为人类干扰因子，构建人工神经网络模型、多元自适应回归样条模型、支持向量机模型和投影寻踪回归模型，分别模拟分析人为干扰对景观多样性、优势度和均匀度的影响。

The author used to solve the linear matrix method to simulate the equations of quadratic regression equation work curve with only a few simple mathematical expressions for the second straight three coefficient regression equations, received the good effect.

作者用矩阵法求解线性方程组的方法来模拟工作曲线的二次回归方程，仅用几个简单的数学表达式就直接求得了二次回归方程的三系数，收到了很好的效果。

In chapter 2, based on the samples of TP7725 high speed WEDM machine from ShangHai wireless apparatus factory and DK7725e high speed WEDM machine from SuZhou SanGuang electromechanical corporation, the virtues and defects of known process databases are given. For the TP7725 machine which has complete database liner regression model and nonlinear regression model are brought out. The two models are compared for goodness of fit and prediction. And the process regularity is analyzed.

第二章以上海无专厂的TP7725型号线切割机床和苏州三光的DK7725e型号线切割机床为例，分析了国内现存的线切割工艺数据库优缺点；对已存在较完善工艺数据库的TP7725机床，应用其已有工艺数据，分别进行了线性和非线性回归建模，并根据试验结果进行了比较和工艺规律分析。

Results Single factor logistic regression showed that the risk factors to myopia were the distance between eyes and book when reading, reading on the bus, hours spend on doing homework every night, exceeding 40 minutes once reading or doing homework, eyestrain and favorite taste. The result of further multiple logistic regression was that distance between eyes and hook when reading, reading on the bus, eyestrain and favorite taste had statistical difference (P.05) to the model.

结果 单因素Logistic回归分析发现，读书时眼睛与书本距离、车上看书、每晚做作业时间、一次看书写作业持续时间超过40min、眼睛酸累和最喜欢咸味是小学生近视发生的危险因素；进一步多因素Logistic回归分析发现，读书时眼睛与书本距离、车上看书、眼睛酸累和最喜欢咸味对模型的作用有统计学意义（P值均＜0.05）。

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。

Based on data of per mu yield of spring-sown soybean and of cli-mate in Hengyang from 1975 to 1981,the tendency yields are estimatedfirst by the method of orthogonal polynomial regression,and then by theFisher's integral regression equation for the out-tendency yields andclimatic factors in this city.

依据1975～1981年衡阳市的气象资料和春大豆亩产量资料，首先用正交多项式回归方法估计了趋势产量，然后用费希尔积分回归模式和逐步回归方法计算出了该市气候因子和离趋势产量间的积分回归公式。

It was just a normal day of school

那只是上学的普通一天

Which is a very good reference in this issue.

这是一个在这个问题上很好的参考。