The Concept of Power POWER INFLUENCE e Relationship between two Relationship between people two people o The potential to influence Induce someone to e capability to get someone behave in a certain to do something

1.(98-1-03)设A为n阶矩阵,|A≠0,A为A的伴随矩阵,E为n阶单位矩阵.若 A有特征值,则(A)2+E必有特征值

8-4高斯定理 一、电场线(电场的图示法) 规定 1、曲线上每一点切线方向为该点电场方向, 2、通过垂直于电场方向单位面积电场线数为该点电场强度的大小.E=E=dN/dS

首都医科大学2000年招收攻读硕士研究生入学试题病理学 一、A型题:在以下每道试题中,从备选答案中选出1个最佳答案(每小题1分,共19分 1、损伤后拌细胞丧失,下列哪一种可能完全再生? A、肝实质细胞B、神经节细胞C、横纹肌 D、心肌E、中枢神经细胞 2、关于自身免疫性疾病,哪项是错的? A、患者女性多于男性 B、可在动物中复制出类似人类自身免疫病的模型 C、病理损害仅限于抗体针对的抗原所在的部位 D、有明显的家族倾向性,具有遗传性 E、血清中检测到自身抗体并不能诊断

一、自发辐射受激辐射 1自发辐射 原子在没有外界干预的情况下,电子会由处于激发态的高能级E2自动跃迁到低能级E1,这种跃迁称为自发跃迁.由自发跃迁而引起的光辐射称为自发辐射

Recall from lecture 22 °Flow value:f=f(s,V) Cut: Any partition (S, T)of y such that s E S andt∈T Lemma. f=f(s, T) for any cut(S, T) Corollary. f(s, T) for any cut(S, T) Residual graph: The graph G=(v, ef) with strictly positive residual capacities c u, v) c(u,)-f(2y)>0

Paths in graphs Consider a digraph g=(v, E)with edge-weight function w:E→>R. The weight of path p=v1→ →>…→> vi is defined to be (D)=∑(n,1)

Ch. 3 Estimation 1 The Nature of statistical Inference It is argued that it is important to develop a mathematical model purporting to provide a generalized description of the data generating process. A prob bility model in the form of the parametric family of the density functions p=f(:0),0E e and its various ramifications formulated in last chapter

Ch.8 Nonspherical Disturbance This chapter will assume that the full ideal conditions hold except that the covari- ance matrix of the disturbance, i.e. E(EE)=02Q2, where Q is not the identity matrix. In particular, Q may be nondiagonal and / or have unequal diagonal ele- ments Two cases we shall consider in details are heteroscedasticity and auto-

Ch. 6 The Linear model under ideal conditions The(multiple) linear model is used to study the relationship between a dependent variable(Y) and several independent variables(X1, X2, ,Xk). That is ∫(X1,X2,…,Xk)+ E assume linear function 1X1+B2X2+…+6kXk+E xB+ where Y is the dependent or explained