U.S. TAX OF FOREIGN- RELATED TRANSACTIONS Jurisdiction to tax Taxation of U.s. citizens& residents Taxation of nonresidents s. taxation of foreign activity Foreign sales corporations

►General survey: Byron’s main works ►Poem appreciation: The Isles of Greece ►Analysis: Byronic hero ►Poem Appreciation: She Walks in Beauty ►Byron’s personal life and his literary career ►Byron’s position in Romanticism

1.Appreciation: Ode to West Wind 2. Shelley’s criticism in China 3. Shelly’s life and Major works 4. Shelly’s literary status

本章开始我们学习两个或两个以上价电子原子的光谱及原子结构情况。 内容提要： 1、第二族元素的光谱和能级 2、具有两个价电子的原子态L－S耦合 目的要求： 1、了解氦原子光谱和能级（正氦（三重态）、仲氦（单态））；镁原子光谱和能级 2、掌握L－S耦合，理解洪特定则、朗德间隔定则 重点难点： 1、L－S耦合 回主页

2-1设n个人围坐在一个圆桌周围,现在从第s个人开始报数,数到第m个人,让他出局;然后从出局的下一个人重新开始报数,数到第m个人,再让他出局,…,如此反复直到所有的人全部出局为止。下面要解决的 Josephus问题是:对于任意给定的n,s和m,求出这n个人的出局序列。请以n=9,s=1,m=5为例,人工模拟 Josephus的求解过程以求得问题的解。 【解答】 出局人的顺序为5,1,7,4,3,6,9,2,8

1. In what physical condition is the writer's grandmother? with her? 3. Is she happy Why or why not? 4 Are retirement homes all bad? 5. What did the writer's mother decide to do when Grandma could not live on her own? 6. How are elderly people treated in many cultures? 7. Why are old people unhappy in a nursing home? 8. What is the writer's opinion concerning the treatment of aging people? 9. What is your own opinion concerning the old people n general?

§0-1 标量场的梯度， 算符 Gradient of Scalar Field, Operator §0-2 矢量场的散度 高斯定理 Divergence of Vector Field, Gauss’s Theorem §0-3 矢量场的旋度斯托克斯定理 Rotation of Vector Field, Stoke’s Theorem §0-4 正交曲线坐标系中 运算的表达式 Expression of Operation on Orthogonal Curvilinear Co-Ordinates System §0-5 二阶微分算符 格林定理 Second-order Differentiation Operator, Green’s Theorem

8.1 系统并行扩展结构 8.2 地址空间分配和外部地址锁存器 8.2.1 存储器地址空间分配 8.2.2 外部地址锁存器 8.3 静态数据存储器RAM的并行扩展 8.3.1 常用的静态RAM（SRAM）芯片 8.3.2 外扩数据存储器的读写操作时序 8.3.3 AT89S52单片机与RAM的接口设计与软件编程 8.4 片内Flash存储器的编程 8.4.1 使用通用编程器的程序写入 8.4.2 使用下载线的ISP编程 8.5 E2PROM的并行扩展 8.5.1 并行E2PROM芯片简介 8.5.2 E2PROM的工作方式 8.5.3 AT89S52单片机扩展E2PROM AT2864的设计

1 Numerical optimization methods in R 1.1 Root-finding in one dimension 1.1.1 Bisection method 1.1.2 Brent’s method 1.1.3 Newton’s method 1.1.4 Fisher scoring 1.2 multivariate optimization 1.2.1 Newton’s method and Fisher scoring 1.3 Numerical Integration 1.4 Maximum Likelihood Problems 1.5 Optimization Problems 1.5.1 One-dimension Optimization 1.5.2 multi-dimensional Optimization 1.6 Linear Programming

人教版《小学英语》家庭作业同步配套教学课件（四年级上册）Unit 5 Dinner’s ready_Part B Read and write & Let’s check & Let’s sing