chapter8 other
- 格式：doc
- 大小：85.00 KB
- 文档页数：9
文档推荐
-
初中other家族辨析.ppt页数:15
-
英语核心知识点不定代词other的辨析页数:16
-
Other_用法辨析页数:3
-
与other相关的代词辨析页数:1
-
other专题练习题 - 附答案页数:2
-
other 辨析页数:2
下载文档原格式
合集下载
新英汉翻译课件教程 Chapter 8 语态转换译法
C. 顺译成 “是……的” 结构
• 英语句子要着重表示的不是受事者受到了某个行 动这样一个事实本身，而是与这个行动有关的一 些具体情况，如时间、地点、方式、方法等。也 就是说，句子里强调的是行动的静态而不是动态 的含义。这样就可以顺译成汉语的“是……的” 的句式。其框架为“受事者——是——动词—— 的”。用这种译法来表现原文陈述的意义，显得 简便灵活。 • 例1：That ridiculous idea was put forward by his brother. • 【译文】这个怪念头是他哥哥想出来的。
• 例3：My holidays afternoons were spent in ramble about the surrounding country. (Washingtonபைடு நூலகம்Irving) • 【译文】每逢假日的下午，我总要漫步周 围的乡村。 • 例4：Illness must be correctly diagnosed before they can be treated with medicine. • 【译文】疾病必须先确诊，再用药。
C. 译成 “叫、让、由、受、遭到、受到、 予、予以、加、加以、引以、为……所、 经……所” 等字句，用以加强说话、表达 语气。
• 例1：You have been wetted in the rain. • 【译文】你叫雨淋湿了。 • 例2：The γ-rays are not affected by an electric field. • 【译文】γ射线不受电场影响。
• • • • •
•
• 例4：Language is a precious possession; it has, in fact, been called the door to knowledge. Knowing how to use language effectively allows us to communicate more clearly, listen more critically, and read more efficiently. Beyond those practical benefits, an interest in words and their mastery provides a lifelong source of pleasure. • 【译文】高超的语言水平乃宝贵财富。诚然，语 言是打开知识宝库大门的钥匙。语言运用得心应 手，便能说得清楚，听得明白，看得真切。推敲 词字，斟酌语句，受益匪浅，其乐无限。
会展英语Chapter 8
Warm-up
Dialogues
Writing
Reading
• J: This is our trial order from you, if these pockethandkerchiefs are popular in our markets, we can cooperate in the long run and I’ll place larger orders. • H: Well, the lowest price I can go to is 1 dollar 90 cents. • J: Great! I know neither of us will be disappointed. By the way, could you supply them from current stock﹖ • H: Sure. We can supply as many as you need. You can be assured of our prompt shipment. • J: Very good, Mr. Huang. I think we will be business partners for a long time to come.
Warm-up
Dialogues
Writing
Reading
Section II. Situational Dialogues
Accepting an Order at a Lower Price in Order to Develop New Markets Disagreement on Price Old customers’ Order: the Larger the Quantity, the Lower the Price Getting a More Favorable Price by Easier Payment Terms
chapter-8高速CMOS逻辑电路设计---副本剖析
k ln 9 2.2
内部寄生电容
8.3 逻辑努力
反相器延时的计算
S(>1)倍对称反相器的延迟时间
R Rref S
Cin SCref
C p SC p ,ref
绝对延时
d abs kR(C p Cout ) kRref C p ,ref
相对延时
(h p)
d abs
加前级门的负载电容，导致恶性循环。必须采用
特别的电路设计来解决这个问题。
问题：
如何使反相
器链的总延
时最小？
8.2 驱动大电容
负载优化条件
第一级是标准尺寸反相器，输入电容为C1，FET 电阻为
R1，FET互导为β1，各级单调放大，即有
1 2 3 N 1 N
j R j C j 1
N
N 1
j 1
j 1
N级反相器链的总延时 d j R j C j 1 RN C L
N级反相器链的负载电容 C L C N 1 S N C1
代入尺寸放大关系
R1
j
•
S
C1
R j C j 1 S j 1
N
N
j 1
CGn (2 r )
1 r
g NAND 2
C
ref
Cin CGn (n r )
nr
一倍对称NANDn
CGn (n r )
1 r
g NAND 2
C
ref
n个输入
NOR
每个nFET的尺寸
1个pFET的尺寸
Cin CGn (1 2r )
内部寄生电容
8.3 逻辑努力
反相器延时的计算
S(>1)倍对称反相器的延迟时间
R Rref S
Cin SCref
C p SC p ,ref
绝对延时
d abs kR(C p Cout ) kRref C p ,ref
相对延时
(h p)
d abs
加前级门的负载电容，导致恶性循环。必须采用
特别的电路设计来解决这个问题。
问题：
如何使反相
器链的总延
时最小？
8.2 驱动大电容
负载优化条件
第一级是标准尺寸反相器，输入电容为C1，FET 电阻为
R1，FET互导为β1，各级单调放大，即有
1 2 3 N 1 N
j R j C j 1
N
N 1
j 1
j 1
N级反相器链的总延时 d j R j C j 1 RN C L
N级反相器链的负载电容 C L C N 1 S N C1
代入尺寸放大关系
R1
j
•
S
C1
R j C j 1 S j 1
N
N
j 1
CGn (2 r )
1 r
g NAND 2
C
ref
Cin CGn (n r )
nr
一倍对称NANDn
CGn (n r )
1 r
g NAND 2
C
ref
n个输入
NOR
每个nFET的尺寸
1个pFET的尺寸
Cin CGn (1 2r )
Chapter 8 科技英语隐含的因果关系
8.3 包含定语从句的主从复合句表示因果关系
1 To make a bomb, we have to use uranium 235, in which all the atoms are available for fission. 制作原子弹,必须使用铀235,因为它的所有原子 都可以裂变。 2 We cannot live on Mars, where there is no air and water. 我们不能在火星上生存,因为那里没有空气,也 没有水。
8.1 形容词短语、分词短语、分词独立结构说 明原因(或条件)
1 Cold and drought tolerant, the new variety is adaptable to north China. 这种新品种耐寒耐旱,适合于在中国北方生长。 2 Free from the attack of moisture, a piece of iron does not rust as fast as we would expect. 如不受潮,铁块锈蚀的速度就不会像我们想象的那样快。 3 Neutrons, having no charge, are repelled neither by the electron cloud surrounding the nucleus nor by the nucleus itself. 中子(由于)不带电,所以既不受原子核周围的电子云也不受原子核本身的排 斥。 4 The moon having no atmosphere, there can be no wind nor, of course, can there be any noise, for sound is carried by the air. 因为月球上没有大气层,又没有风,当然也没有什么声响,因为声音是靠空气 传播的。 5 Some alloying elements ( such as chromium and tungsten) make the grain of steel finer, thus increasing the hardness and strength of steel. 有些合金元素(如铬和钨)能细化钢的晶粒,从而增加钢的硬度和强度。 6 A fusion reaction is going on in the sun to produce almost limitless energy. 太阳内部正在进行着核聚变反应,因而产生几乎无穷无尽的能量。
西方财务会计_chapter8
Accu. Depr.
706
($10593*1/10*8/12=706)
11
Disposal of Plant Assets
Discard Sell for monetary consideration Exchange for noncash assets
$
Accounting for Disposal of Plant Assets: discard
Let’s answer the following questions.
15
The amount of depreciation recorded on September 30, 2005, to bring depreciation up to date is:
a. $8,000.
b. $6,000.
Compute the cost of Heat Co.’s new machine.
6
Determining Cost
List price Sales tax @ 8% Transportation cost Set-up Testing
Total cost to Heat Co.
Date
Description
c.
$4,000.
Annual Depreciation: ($100,000- $20,000) ÷ 1Depreciation to Sept. 30: 9/12 × $8,000 = $6,000
16
After updating the depreciation, the machine’s book value on September 30, 2005, is:
5/1 Equipment 10593
典范英语终极跑鞋chapter8主要内容
典范英语终极跑鞋chapter8主要内容全文共10篇示例，供读者参考篇1Chapter 8 of "The Ultimate Running Shoes" talks about the importance of proper foot support and cushioning in running shoes. The chapter begins by explaining how different types of running shoes are designed to provide support for different foot types. For example, people with high arches may need shoes with extra cushioning to support their feet, while those with flat feet may require shoes with more stability.The chapter goes on to discuss the various materials used in running shoe construction, such as EVA foam and gel inserts, which help to absorb shock and impact while running. It also explains how the design of the shoe, including the shape of the sole and heel counter, can affect the runner's gait and overall performance.One of the key takeaways from Chapter 8 is the importance of proper fit when choosing running shoes. Ill-fitting shoes can lead to discomfort, blisters, and even serious injuries. The chapter provides tips on how to determine the right size and fitfor your feet, including getting professionally fitted at a running store and testing the shoes by running or walking in them.Overall, Chapter 8 emphasizes the crucial role that proper foot support and cushioning play in maximizing performance and preventing injury while running. By choosing the right type of running shoes and ensuring a proper fit, runners can improve their comfort, efficiency, and overall enjoyment of the sport.篇2Chapter 8 of "The Ultimate Running Shoes" is all about speed and performance. In this chapter, we learn about how to choose the right running shoes for racing and how to improve our speed on the track.First off, the chapter talks about what features to look for in a racing shoe. It's important to find a lightweight shoe that provides good support and cushioning. Racing shoes are designed to be sleek and fast, with minimal cushioning to reduce weight and maximize speed.Next, we learn about the importance of proper form and technique when it comes to running fast. It's not just about how fast you can move your legs, but also about how efficiently youcan move them. Proper arm swing, stride length, and foot strike are all important factors in maximizing your speed.The chapter also discusses the role of training in improving speed. Different types of speed workouts, such as interval training and tempo runs, can help build your speed and endurance. It's important to train consistently and push yourself out of your comfort zone to see improvements in your speed.Lastly, the chapter offers tips on how to mentally prepare for a race. Visualizing success, setting realistic goals, and staying focused during a race are all important mental strategies for improving your speed on race day.Overall, Chapter 8 of "The Ultimate Running Shoes" gives us valuable insight into how to choose the right shoes and improve our speed and performance on the track. So lace up those racing shoes and get ready to fly past the competition!篇3Hey guys, guess what? I just finished reading chapter 8 of "The Ultimate Running Shoes"! It was super interesting, so let me tell you all about it!In this chapter, we learned all about different types of running shoes for different types of runners. There are shoes for beginners, shoes for advanced runners, and even shoes for people with special foot conditions. It's really cool how there's a perfect shoe out there for everyone!We also learned about the importance of choosing the right size shoe and how to properly lace them up for a comfortable fit. Did you know that wearing the wrong size shoe can actually cause injuries? Yeah, crazy right?And get this - there are shoes that can track your running stats, like how far you've run and how fast! It's like having a personal trainer right on your feet! Technology is so awesome.But the best part of the chapter was learning about all the latest trends in running shoes. From bright colors to funky designs, there's no limit to how cool your running shoes can be. I can't wait to go shopping for my own pair now!So, if you're into running or just want to learn more about the best shoes for your feet, definitely check out chapter 8 of "The Ultimate Running Shoes". It's a real game-changer!篇4Chapter 8 of "The Ultimate Running Shoes" is all about exploring different types of running shoes and how they can improve your performance. It was super interesting and I learned a lot of cool stuff!First, we talked about cushioning in running shoes. It's like having a comfy bed for your feet while you run. Some shoes have lots of cushioning, which is great for long distances or if you have a history of foot pain. Others have less cushioning, which is better for speed and agility.Next, we learned about stability shoes. These are like the superheroes of running shoes because they help protect your feet and ankles from rolling inwards or outwards. They're perfect for people with flat feet or those who overpronate or supinate when they run.Then, we talked about motion control shoes. These are like the bodyguards of the running shoe world because they provide extra support for people who have severe overpronation. They help keep your feet in line and prevent injuries caused by excessive rolling.Finally, we discussed minimalist shoes. These are like running barefoot but with a little extra protection. They're superlightweight and help improve your running form, but you have to be careful because they offer less cushioning and support.Overall, Chapter 8 of "The Ultimate Running Shoes" was awesome! I can't wait to try out different types of running shoes and see how they can help me become a faster and stronger runner. I'm so excited to put all this new knowledge to the test and find the perfect pair of shoes for me!篇5Hello everyone! Today, I'm going to talk about Chapter 8 of the book "The Ultimate Running Shoes". In this chapter, we learned all about how to choose the perfect pair of running shoes.First, the book talked about the different types of running shoes - neutral, stability, and motion control. Neutral shoes are for runners with a normal arch, stability shoes are for runners with a low arch, and motion control shoes are for runners with flat feet. It's important to know your foot type so you can pick the right shoes for you!Next, the book discussed the importance of getting the right fit. Your running shoes should be snug, but not too tight. They should also have enough room in the toe box so your toes canmove freely. It's a good idea to try on a few different pairs before making a decision.The chapter also talked about the different features to look for in running shoes, like cushioning, support, and breathability. Cushioning helps to absorb impact, support helps to prevent injury, and breathability keeps your feet cool and dry. All of these things are important for a comfortable and safe run.In conclusion, Chapter 8 of "The Ultimate Running Shoes" taught us the importance of choosing the right pair of shoes for our feet. By understanding our foot type, getting the right fit, and looking for the right features, we can find the perfect running shoes for us. Happy running, everyone!篇6Chapter 8 of the Ultimate Running Shoes series is all about choosing the right shoes for your running needs. It's super important to have the right shoes so you can run faster, jump higher, and feel super cool while doing it!First off, you need to think about what type of running you'll be doing. If you're a speed demon and love sprinting, you'll want to go for lightweight shoes with lots of cushioning. These will help you go fast and be comfy at the same time.If you're more of a long distance runner, you'll want shoes with good support and stability. These will help keep your feet happy and healthy as you rack up the miles.There are also shoes for trail running, which have extra grip and protection to handle tough terrain. And don't forget about track spikes for running on the track – they have sharp points on the bottom to help you go even faster!When you're trying on shoes, make sure they fit snugly but not too tight. You want a little wiggle room for your toes, but you also don't want your feet sliding around inside the shoes. And always try them on with the socks you'll be wearing when you run.Remember, the right shoes can make all the difference in your running game. So take your time, try on lots of options, and find the perfect pair that will help you crush your running goals. Happy running, my friends!篇7Chapter 8 of the Ultimate Running Shoes is super cool! In this chapter, we learn all about the advanced technology and cool features of the latest running shoes.First off, we got to know about the innovative cushioning system in the shoes. It's like running on clouds! The special foam material absorbs the impact of each step, making our feet feel super comfy and preventing any injuries.Next, we learned about the unique design of the outsole. It has special grooves and patterns that provide excellent traction on all types of surfaces. So no matter if we're running on the track, road, or trail, our shoes will keep us steady and secure.And let's not forget about the awesome breathable mesh upper! It helps to keep our feet cool and dry, even during intense workouts. Plus, the snug fit of the shoes ensures that our feet stay in place and don't slide around while we're running.Oh, and how could I forget about the stylish colors and designs of the shoes? They look so cool and make us feel like real running champions!Overall, Chapter 8 of the Ultimate Running Shoes taught us that the right pair of shoes can make all the difference in our performance. So let's lace up our shoes, hit the pavement, and run like the wind! ♂️篇8Chapter 8 of the Ultimate Running Shoes series is all about choosing the right shoes for different types of running activities. It's super important to pick the best shoes for your feet so that you can run faster, jump higher, and have fun while doing it! Let's dive into the main points of this chapter.First off, the chapter talks about running shoes forlong-distance running. When you're running a marathon or a long trail race, you need shoes that can provide cushioning and support for miles and miles. Look for shoes with extra padding in the midsole and heel to absorb shock and reduce fatigue. They should also have a breathable upper to keep your feet cool and dry.Next, the chapter covers shoes for sprinting. If you're a speed demon and love sprinting short distances, you need lightweight shoes with a snug fit. Look for shoes with a low heel drop and a stiff sole to help you explode off the starting line. These shoes should also have traction for grip on the track or road.Another important point in this chapter is choosing the right shoes for trail running. Trail running shoes are designed to handle rugged terrain, rocks, and mud. They have aggressive tread patterns for traction and protection for your feet fromsharp objects. Look for shoes with a durable outsole and a protective toe cap for rocky trails.Lastly, the chapter discusses cross-training shoes for other sports and activities. Cross-training shoes are versatile and can be used for running, weightlifting, and other workouts. They should have a stable base for lifting weights, cushioning for running, and flexibility for agility drills. Look for shoes with a comfortable fit and breathability for all-day wear.In conclusion, Chapter 8 of the Ultimate Running Shoes series emphasizes the importance of choosing the right shoes for different types of running activities. Whether you're along-distance runner, sprinter, trail runner, or cross-training enthusiast, there's a perfect pair of shoes out there for you. Remember to consider your foot type, running style, and the terrain you'll be running on when selecting your next pair of running shoes. Happy running!篇9Hi guys, today I'm gonna talk about this super cool book called "Ultimate Running Shoes Chapter 8". It's all about the best running shoes in the world and I can't wait to tell you all about it.In Chapter 8, the book talks about different types of running shoes and how to choose the right ones for you. It explains the importance of having the right shoes for running and how it can make a big difference in your performance.The chapter also goes into detail about the different features of running shoes, like cushioning, stability, and flexibility. It explains why these features are important and how they can help you run better and faster.One of the most interesting parts of the chapter is when it talks about the newest technology in running shoes. It explains how companies are always coming up with new and improved designs to make running shoes even better.Overall, this chapter is super interesting and informative. It's definitely a must-read for anyone who loves to run or is looking to get into running. So next time you're in the store looking for a new pair of running shoes, make sure to check out this chapter to help you make the best choice. Happy running, everyone!篇10Chapter 8 of "The Ultimate Running Shoes" is all about the different types of running shoes you can choose from. It's superimportant to pick the right shoes for your feet to make sure you have a comfy and safe run.First off, there are neutral shoes. These are for peeps who have a regular arch in their feet. They offer cushioning and support without changing your foot's natural movement.Next up are stability shoes. These are for folks with a slight overpronation, which means your foot rolls inward when you run. The shoes have extra support to help keep your foot in the right position.Then there are motion control shoes. These are for peeps with severe overpronation. They have extra support to keep your foot from rolling too much and causing injuries.There are also minimalist shoes, which are super lightweight and don't have much cushioning. They let your feet move naturally, but you gotta be careful cuz they don't offer as much protection.Lastly, there are maximalist shoes. These are like walking on clouds cuz they have extra cushioning for peeps who need it.Remember, the best way to find the right shoes for you is to try them on and see how they feel. And don't forget to replaceyour running shoes every 300-500 miles to make sure they're still doing their job properly.So make sure to pick the right shoes for your feet and happy running! ♂️ ♂️。
Chapter 8 - Heteroskedasticity
Stata Textbook ExamplesIntroductory Econometrics: A Modern Approach by Jeffrey M. Wooldridge (1st & 2nd eds.)Chapter 8 - HeteroskedasticityExample 8.1: Log Wage Equation with Heteroscedasticity-Robust Standard Errorsuse /ec-p/data/wooldridge/WAGE2gen single=(~married)gen male=(~female)gen marrmale=male*marriedgen marrfem=female*marriedgen singfem=single*femalereg lwage marrmale marrfem singfem educ exper expersq tenure tenursq, robustRegression with robust standard errors Number of obs = 526 F( 8, 517) = 51.70 Prob > F = 0.0000 R-squared = 0.4609 Root MSE = .39329------------------------------------------------------------------------------ | Robustlwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- marrmale | .2126756 .0571419 3.72 0.000 .1004167 .3249345 marrfem | -.1982676 .05877 -3.37 0.001 -.313725 -.0828102 singfem | -.1103502 .0571163 -1.93 0.054 -.2225587 .0018583 educ | .0789103 .0074147 10.64 0.000 .0643437 .0934769 exper | .0268006 .0051391 5.22 0.000 .0167044 .0368967 expersq | -.0005352 .0001063 -5.03 0.000 -.0007442 -.0003263 tenure | .0290875 .0069409 4.19 0.000 .0154516 .0427234 tenursq | -.0005331 .0002437 -2.19 0.029 -.0010119 -.0000544 _cons | .321378 .109469 2.94 0.003 .1063193 .5364368 ------------------------------------------------------------------------------reg lwage marrmale marrfem singfem educ exper expersq tenure tenursqSource | SS df MS Number of obs = 526 -------------+------------------------------ F( 8, 517) = 55.25 Model | 68.3617614 8 8.54522017 Prob > F = 0.0000 Residual | 79.9680004 517 .154676983 R-squared = 0.4609Total | 148.329762 525 .28253288 Root MSE = .39329 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- marrmale | .2126756 .0553572 3.84 0.000 .103923 .3214283 marrfem | -.1982676 .0578355 -3.43 0.001 -.3118891 -.0846462 singfem | -.1103502 .0557421 -1.98 0.048 -.219859 -.0008414 educ | .0789103 .0066945 11.79 0.000 .0657585 .0920621 exper | .0268006 .0052428 5.11 0.000 .0165007 .0371005 expersq | -.0005352 .0001104 -4.85 0.000 -.0007522 -.0003183 tenure | .0290875 .006762 4.30 0.000 .0158031 .0423719 tenursq | -.0005331 .0002312 -2.31 0.022 -.0009874 -.0000789 _cons | .321378 .100009 3.21 0.001 .1249041 .517852 ------------------------------------------------------------------------------Example 8.2: Heteroscedastisity-Robust F Statisticsuse /ec-p/data/wooldridge/GPA3reg cumgpa sat hsperc tothrs female black white if term==2, robustRegression with robust standard errors Number of obs = 366 F( 6, 359) = 39.30 Prob > F = 0.0000 R-squared = 0.4006 Root MSE = .46929 ------------------------------------------------------------------------------ | Robustcumgpa | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- sat | .0011407 .0001915 5.96 0.000 .0007641 .0015174 hsperc | -.0085664 .0014179 -6.04 0.000 -.0113548 -.0057779 tothrs | .002504 .0007406 3.38 0.001 .0010475 .0039605 female | .3034333 .0591378 5.13 0.000 .1871332 .4197334 black | -.1282837 .1192413 -1.08 0.283 -.3627829 .1062155 white | -.0587217 .111392 -0.53 0.598 -.2777846 .1603411 _cons | 1.470065 .2206802 6.66 0.000 1.036076 1.904053 ------------------------------------------------------------------------------reg cumgpa sat hsperc tothrs female black white if term==2Source | SS df MS Number of obs = 366Model | 52.831358 6 8.80522634 Prob > F = 0.0000 Residual | 79.062328 359 .220229326 R-squared = 0.4006 -------------+------------------------------ Adj R-squared = 0.3905 Total | 131.893686 365 .361352564 Root MSE = .46929 ------------------------------------------------------------------------------ cumgpa | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- sat | .0011407 .0001786 6.39 0.000 .0007896 .0014919 hsperc | -.0085664 .0012404 -6.91 0.000 -.0110058 -.006127 tothrs | .002504 .000731 3.43 0.001 .0010664 .0039415 female | .3034333 .0590203 5.14 0.000 .1873643 .4195023 black | -.1282837 .1473701 -0.87 0.385 -.4181009 .1615335 white | -.0587217 .1409896 -0.42 0.677 -.3359909 .2185475 _cons | 1.470065 .2298031 6.40 0.000 1.018135 1.921994 ------------------------------------------------------------------------------Example 8.3: Heteroskedasticity-Robust LM Statisticuse /ec-p/data/wooldridge/CRIME1gen avgsensq=avgsen*avgsenreg narr86 pcnv avgsen avgsensq ptime86 qemp86 inc86 black hispan, robust Regression with robust standard errors Number of obs = 2725 F( 8, 2716) = 29.84 Prob > F = 0.0000 R-squared = 0.0728 Root MSE = .82843------------------------------------------------------------------------------ | Robustnarr86 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- pcnv | -.1355954 .0336218 -4.03 0.000 -.2015223 -.0696685 avgsen | .0178411 .0101233 1.76 0.078 -.0020091 .0376913 avgsensq | -.0005163 .0002077 -2.49 0.013 -.0009236 -.0001091 ptime86 | -.03936 .0062236 -6.32 0.000 -.0515634 -.0271566 qemp86 | -.0505072 .0142015 -3.56 0.000 -.078354 -.0226603 inc86 | -.0014797 .0002295 -6.45 0.000 -.0019297 -.0010296 black | .3246024 .0585135 5.55 0.000 .2098669 .439338 hispan | .19338 .0402983 4.80 0.000 .1143616 .2723985 _cons | .5670128 .0402756 14.08 0.000 .4880389 .6459867Source | SS df MS Number of obs = 2725 -------------+------------------------------ F( 2, 2723) = 2.00 Model | 3.99708536 2 1.99854268 Prob > F = 0.1355 Residual | 2721.00291 2723 .999266586 R-squared = 0.0015 -------------+------------------------------ Adj R-squared = 0.0007 Total | 2725.00 2725 1.00 Root MSE = .99963 ------------------------------------------------------------------------------ iota | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ur1 | .0277846 .0140598 1.98 0.048 .0002156 .0553537 ur2 | -.0010447 .0005479 -1.91 0.057 -.002119 .0000296 ------------------------------------------------------------------------------scalar hetlm = e(N)-e(rss)scalar pval = chi2tail(2,hetlm)display _n "Robust LM statistic : " %6.3f hetlm /*> */ _n "Under H0, distrib Chi2(2), p-value: " %5.3f pvalRobust LM statistic : 3.997Under H0, distrib Chi2(2), p-value: 0.136reg narr86 pcnv ptime86 qemp86 inc86 black hispanSource | SS df MS Number of obs = 2725 -------------+------------------------------ F( 6, 2718) = 34.95 Model | 143.977563 6 23.9962606 Prob > F = 0.0000 Residual | 1866.36959 2718 .686670196 R-squared = 0.0716 -------------+------------------------------ Adj R-squared = 0.0696 Total | 2010.34716 2724 .738012906 Root MSE = .82866 ------------------------------------------------------------------------------ narr86 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- pcnv | -.1322784 .0403406 -3.28 0.001 -.2113797 -.0531771 ptime86 | -.0377953 .008497 -4.45 0.000 -.0544566 -.021134 qemp86 | -.0509814 .0144359 -3.53 0.000 -.0792878 -.022675 inc86 | -.00149 .0003404 -4.38 0.000 -.0021575 -.0008224 black | .3296885 .0451778 7.30 0.000 .2411022 .4182748 hispan | .1954509 .0396929 4.92 0.000 .1176195 .2732823 _cons | .5703344 .0360073 15.84 0.000 .49973 .6409388 -----------------------------------------------------------------------------predict ubar2, residreg ubar2 pcnv avgsen avgsensq ptime86 qemp86 inc86 black hispanSource | SS df MS Number of obs = 2725 -------------+------------------------------ F( 8, 2716) = 0.43 Model | 2.37155739 8 .296444674 Prob > F = 0.9025 Residual | 1863.99804 2716 .686302664 R-squared = 0.0013 -------------+------------------------------ Adj R-squared = -0.0017 Total | 1866.36959 2724 .685157707 Root MSE = .82843 ------------------------------------------------------------------------------ ubar1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- pcnv | -.003317 .0403699 -0.08 0.935 -.0824758 .0758418 avgsen | .0178411 .009696 1.84 0.066 -.0011713 .0368534 avgsensq | -.0005163 .000297 -1.74 0.082 -.0010987 .0000661 ptime86 | -.0015647 .0086935 -0.18 0.857 -.0186112 .0154819 qemp86 | .0004742 .0144345 0.03 0.974 -.0278295 .0287779 inc86 | .0000103 .0003405 0.03 0.976 -.0006574 .000678 black | -.0050861 .0454188 -0.11 0.911 -.094145 .0839729 hispan | -.0020709 .0397035 -0.05 0.958 -.0799229 .0757812 _cons | -.0033216 .0360573 -0.09 0.927 -.0740242 .0673809 ------------------------------------------------------------------------------scalar lm1 = e(N)*e(r2)display _n "LM statistic : " %6.3f lm1 /*LM statistic : 3.5425Example 8.4: Heteroscedasticity in Housing Price Equationuse /ec-p/data/wooldridge/HPRICE1reg price lotsize sqrft bdrmsSource | SS df MS Number of obs = 88 -------------+------------------------------ F( 3, 84) = 57.46 Model | 617130.701 3 205710.234 Prob > F = 0.0000 Residual | 300723.805 84 3580.0453 R-squared = 0.6724 -------------+------------------------------ Adj R-squared = 0.6607 Total | 917854.506 87 10550.0518 Root MSE = 59.833 ------------------------------------------------------------------------------ price | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+----------------------------------------------------------------lotsize | .0020677 .0006421 3.22 0.002 .0007908 .0033446 sqrft | .1227782 .0132374 9.28 0.000 .0964541 .1491022 bdrms | 13.85252 9.010145 1.54 0.128 -4.06514 31.77018 _cons | -21.77031 29.47504 -0.74 0.462 -80.38466 36.84404 ------------------------------------------------------------------------------whitetst, fittedWhite's special test statistic : 16.26842 Chi-sq( 2) P-value = 2.9e-04reg lprice llotsize lsqrft bdrmsSource | SS df MS Number of obs = 88 -------------+------------------------------ F( 3, 84) = 50.42 Model | 5.15504028 3 1.71834676 Prob > F = 0.0000 Residual | 2.86256324 84 .034078134 R-squared = 0.6430 -------------+------------------------------ Adj R-squared = 0.6302 Total | 8.01760352 87 .092156362 Root MSE = .1846 ------------------------------------------------------------------------------ lprice | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- llotsize | .1679667 .0382812 4.39 0.000 .0918404 .244093 lsqrft | .7002324 .0928652 7.54 0.000 .5155597 .8849051 bdrms | .0369584 .0275313 1.34 0.183 -.0177906 .0917074 _cons | -1.297042 .6512836 -1.99 0.050 -2.592191 -.0018931 ------------------------------------------------------------------------------whitetst, fittedWhite's special test statistic : 3.447243 Chi-sq( 2) P-value = .1784Example 8.5: Special Form of the White Test in the Log Housing Price Equationuse /ec-p/data/wooldridge/HPRICE1reg lprice llotsize lsqrft bdrmsSource | SS df MS Number of obs = 88 -------------+------------------------------ F( 3, 84) = 50.42 Model | 5.15506425 3 1.71835475 Prob > F = 0.0000 Residual | 2.86255771 84 .034078068 R-squared = 0.6430 -------------+------------------------------ Adj R-squared = 0.6302 Total | 8.01762195 87 .092156574 Root MSE = .1846llotsize | .167968 .0382811 4.39 0.000 .0918418 .2440941 lsqrft | .7002326 .0928652 7.54 0.000 .5155601 .8849051 bdrms | .0369585 .0275313 1.34 0.183 -.0177905 .0917075 _cons | 5.6107 .6512829 8.61 0.000 4.315553 6.905848 ------------------------------------------------------------------------------whitetst, fittedWhite's special test statistic : 3.447286 Chi-sq( 2) P-value = .1784Example 8.6: Family Saving Equationuse /ec-p/data/wooldridge/SAVINGreg sav incSource | SS df MS Number of obs = 100 -------------+------------------------------ F( 1, 98) = 6.49 Model | 66368437.0 1 66368437.0 Prob > F = 0.0124 Residual | 1.0019e+09 98 10223460.8 R-squared = 0.0621 -------------+------------------------------ Adj R-squared = 0.0526 Total | 1.0683e+09 99 10790581.8 Root MSE = 3197.4 ------------------------------------------------------------------------------ sav | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- inc | .1466283 .0575488 2.55 0.012 .0324247 .260832 _cons | 124.8424 655.3931 0.19 0.849 -1175.764 1425.449 ------------------------------------------------------------------------------reg sav inc [aw = 1/inc](sum of wgt is 1.3877e-02)Source | SS df MS Number of obs = 100 -------------+------------------------------ F( 1, 98) = 9.14 Model | 58142339.8 1 58142339.8 Prob > F = 0.0032 Residual | 623432468 98 6361555.80 R-squared = 0.0853 -------------+------------------------------ Adj R-squared = 0.0760 Total | 681574808 99 6884594.02 Root MSE = 2522.2inc | .1717555 .0568128 3.02 0.003 .0590124 .2844986 _cons | -124.9528 480.8606 -0.26 0.796 -1079.205 829.2994 ------------------------------------------------------------------------------reg sav inc size educ age blackSource | SS df MS Number of obs = 100 -------------+------------------------------ F( 5, 94) = 1.70 Model | 88426246.4 5 17685249.3 Prob > F = 0.1430 Residual | 979841351 94 10423844.2 R-squared = 0.0828 -------------+------------------------------ Adj R-squared = 0.0340 Total | 1.0683e+09 99 10790581.8 Root MSE = 3228.6 ------------------------------------------------------------------------------ sav | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- inc | .109455 .0714317 1.53 0.129 -.0323742 .2512842 size | 67.66119 222.9642 0.30 0.762 -375.0395 510.3619 educ | 151.8235 117.2487 1.29 0.199 -80.97646 384.6235 age | .2857217 50.03108 0.01 0.995 -99.05217 99.62361 black | 518.3934 1308.063 0.40 0.693 -2078.796 3115.583 _cons | -1605.416 2830.707 -0.57 0.572 -7225.851 4015.019 ------------------------------------------------------------------------------reg sav inc size educ age black [aw = 1/inc](sum of wgt is 1.3877e-02)Source | SS df MS Number of obs = 100 -------------+------------------------------ F( 5, 94) = 2.19 Model | 71020334.9 5 14204067.0 Prob > F = 0.0621 Residual | 610554473 94 6495260.35 R-squared = 0.1042 -------------+------------------------------ Adj R-squared = 0.0566 Total | 681574808 99 6884594.02 Root MSE = 2548.6 ------------------------------------------------------------------------------ sav | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- inc | .1005179 .0772511 1.30 0.196 -.052866 .2539017 size | -6.868501 168.4327 -0.04 0.968 -341.2956 327.5586 educ | 139.4802 100.5362 1.39 0.169 -60.1368 339.0972 age | 21.74721 41.30598 0.53 0.600 -60.26678 103.7612 black | 137.2842 844.5941 0.16 0.871 -1539.677 1814.246 _cons | -1854.814 2351.797 -0.79 0.432 -6524.362 2814.734 ------------------------------------------------------------------------------Example 8.7: Demand for Cigarettesuse /ec-p/data/wooldridge/SMOKEreg cigs lincome lcigpric educ age agesq restaurnSource | SS df MS Number of obs = 807 -------------+------------------------------ F( 6, 800) = 7.42 Model | 8003.02506 6 1333.83751 Prob > F = 0.0000 Residual | 143750.658 800 179.688322 R-squared = 0.0527 -------------+------------------------------ Adj R-squared = 0.0456 Total | 151753.683 806 188.280003 Root MSE = 13.405 ------------------------------------------------------------------------------ cigs | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- lincome | .8802689 .7277838 1.21 0.227 -.5483223 2.30886 lcigpric | -.7508498 5.773343 -0.13 0.897 -12.08354 10.58184 educ | -.5014982 .1670772 -3.00 0.003 -.8294597 -.1735368 age | .7706936 .1601223 4.81 0.000 .456384 1.085003 agesq | -.0090228 .001743 -5.18 0.000 -.0124443 -.0056013 restaurn | -2.825085 1.111794 -2.54 0.011 -5.007462 -.642708 _cons | -3.639884 24.07866 -0.15 0.880 -50.9047 43.62493 ------------------------------------------------------------------------------Change in cigs if income increases by 10%display _b[lincome]*10/100.08802689Turnover point for agedisplay _b[age]/2/_b[agesq]-42.708116whitetst, fittedWhite's special test statistic : 26.57258 Chi-sq( 2) P-value = 1.7e-06gen lubar=log(ub*ub)qui reg lubar lincome lcigpric educ age agesq restaurnpredict cigsh, xbgen cigse = exp(cigsh)reg cigs lincome lcigpric educ age agesq restaurn [aw=1/cigse](sum of wgt is 1.9977e+01)Source | SS df MS Number of obs = 807 -------------+------------------------------ F( 6, 800) = 17.06 Model | 10302.6415 6 1717.10692 Prob > F = 0.0000 Residual | 80542.0684 800 100.677586 R-squared = 0.1134 -------------+------------------------------ Adj R-squared = 0.1068 Total | 90844.71 806 112.710558 Root MSE = 10.034 ------------------------------------------------------------------------------ cigs | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- lincome | 1.295241 .4370118 2.96 0.003 .4374154 2.153066 lcigpric | -2.94028 4.460142 -0.66 0.510 -11.69524 5.814684 educ | -.4634462 .1201586 -3.86 0.000 -.6993095 -.2275829 age | .4819474 .0968082 4.98 0.000 .2919194 .6719755 agesq | -.0056272 .0009395 -5.99 0.000 -.0074713 -.0037831 restaurn | -3.461066 .7955047 -4.35 0.000 -5.022589 -1.899543 _cons | 5.63533 17.80313 0.32 0.752 -29.31103 40.58169 ------------------------------------------------------------------------------Example 8.8: Labor Force Participation of Married Womenuse /ec-p/data/wooldridge/MROZreg inlf nwifeinc educ exper expersq age kidslt6 kidsge6Source | SS df MS Number of obs = 753 -------------+------------------------------ F( 7, 745) = 38.22 Model | 48.8080578 7 6.97257968 Prob > F = 0.0000 Residual | 135.919698 745 .182442547 R-squared = 0.2642 -------------+------------------------------ Adj R-squared = 0.2573 Total | 184.727756 752 .245648611 Root MSE = .42713 ------------------------------------------------------------------------------ inlf | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- nwifeinc | -.0034052 .0014485 -2.35 0.019 -.0062488 -.0005616 educ | .0379953 .007376 5.15 0.000 .023515 .0524756exper | .0394924 .0056727 6.96 0.000 .0283561 .0506287 expersq | -.0005963 .0001848 -3.23 0.001 -.0009591 -.0002335 age | -.0160908 .0024847 -6.48 0.000 -.0209686 -.011213 kidslt6 | -.2618105 .0335058 -7.81 0.000 -.3275875 -.1960335 kidsge6 | .0130122 .013196 0.99 0.324 -.0128935 .0389179 _cons | .5855192 .154178 3.80 0.000 .2828442 .8881943 ------------------------------------------------------------------------------reg inlf nwifeinc educ exper expersq age kidslt6 kidsge6, robustRegression with robust standard errors Number of obs = 753 F( 7, 745) = 62.48 Prob > F = 0.0000 R-squared = 0.2642 Root MSE = .42713 ------------------------------------------------------------------------------ | Robustinlf | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- nwifeinc | -.0034052 .0015249 -2.23 0.026 -.0063988 -.0004115 educ | .0379953 .007266 5.23 0.000 .023731 .0522596 exper | .0394924 .00581 6.80 0.000 .0280864 .0508983 expersq | -.0005963 .00019 -3.14 0.002 -.0009693 -.0002233 age | -.0160908 .002399 -6.71 0.000 -.0208004 -.0113812 kidslt6 | -.2618105 .0317832 -8.24 0.000 -.3242058 -.1994152 kidsge6 | .0130122 .0135329 0.96 0.337 -.013555 .0395795 _cons | .5855192 .1522599 3.85 0.000 .2866098 .8844287 ------------------------------------------------------------------------------Example 8.9: Determinants of Personal Computer Ownershipuse /ec-p/data/wooldridge/GPA1gen parcoll = (mothcoll | fathcoll)reg PC hsGPA ACT parcollSource | SS df MS Number of obs = 141 -------------+------------------------------ F( 3, 137) = 1.98 Model | 1.40186813 3 .467289377 Prob > F = 0.1201 Residual | 32.3569971 137 .236182461 R-squared = 0.0415 -------------+------------------------------ Adj R-squared = 0.0205 Total | 33.7588652 140 .241134752 Root MSE = .48599------------------------------------------------------------------------------ PC | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- hsGPA | .0653943 .1372576 0.48 0.635 -.2060231 .3368118 ACT | .0005645 .0154967 0.04 0.971 -.0300792 .0312082 parcoll | .2210541 .092957 2.38 0.019 .037238 .4048702 _cons | -.0004322 .4905358 -0.00 0.999 -.970433 .9695686 ------------------------------------------------------------------------------predict phatgen h=phat*(1-phat)reg PC hsGPA ACT parcoll [aw=1/h](sum of wgt is 6.2818e+02)Source | SS df MS Number of obs = 141 -------------+------------------------------ F( 3, 137) = 2.22 Model | 1.54663033 3 .515543445 Prob > F = 0.0882 Residual | 31.7573194 137 .231805251 R-squared = 0.0464 -------------+------------------------------ Adj R-squared = 0.0256 Total | 33.3039497 140 .237885355 Root MSE = .48146 ------------------------------------------------------------------------------ PC | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- hsGPA | .0327029 .1298817 0.25 0.802 -.2241292 .289535 ACT | .004272 .0154527 0.28 0.783 -.0262847 .0348286 parcoll | .2151862 .0862918 2.49 0.014 .04455 .3858224 _cons | .0262099 .4766498 0.05 0.956 -.9163323 .9687521 ------------------------------------------------------------------------------This page prepared by Oleksandr Talavera (revised 8 Nov 2002)Send your questions/comments/suggestions to Kit Baum at baum@ These pages are maintained by the Faculty Micro Resource Center's GSA Program,a unit of Boston College Academic Technology Services。
商务翻译 Chapter 8
9. It is true our price is a bit higher compared with that of other suppliers，but you know you get what you pay for. 译文： 译文：我方价格是比其他供货商高些，但要知 道一分钱一分货。
我听说稀土出口税率四月一日起会增长十倍。 a. I hear that the export tax rate of rare earth will increase by ten folds (times) starting from April 1. b. I hear that the export tax rate of rare earth will have a tenfold increase by April 1. c. I hear that the export tax rate of rare earth on April 1 will be ten times larger than that of March. d. I hear that the export tax rate of rare earth on April 1 will be eleven times as much as that of March.
2. a. b.
ton (tonne) 吨 metric ton (公制) 公吨 = 1000 kg. long ton (英制) 长吨 = 2240 lb. = 1.016 公吨（1016 kg） short ton ( 美制) 短吨 = 2000 lb. = 0.907 公吨（907 kg） 溢装 overload 短装 shortload
2.
According to your invitation No.108, we are pleased to submit to you our bid. 译文: 根据你方第108号招标通知，我方乐于 提交标书。
英语文体学Chapter 8
Cooperative Principle Violations of the maxims are frequently found in literary texts. These are intended to portray characters and their relationships and also indicate the relation between the reader and the author.
Speech Acts Theory For a speech act to be performed successfully, certain conditions must be met, which we term felicity conditions.
Speech Acts Theory Felicity conditions
Cooperative Principle The Maxim of Quality Try to make your contribution one that is true, specially: (a) do not say what you believe to be false (b) do not say that for which you lack adequate evidence.
Speech Acts Theory Locutionary act: the actual uttering of a sentence with a particular meaning. Illocutionary act: the intent that the speaker has in uttering the sentence. Perlocutionary act: the result achieved in uttering the sentence.
离散数学及其应用英文版第八版教学设计
Discrete Mathematics and Its Applications, 8th Edition:Teaching PlanDiscrete Mathematics and Its Applications by Kenneth H. Rosen is a popular textbook for undergraduate students studying computer science, mathematics, engineering, and related fields. This teaching plan outlines a semester-long course based on the eighth edition of the book. The course is designed to introduce students to the fundamental concepts of discrete mathematics and their applications in computer science and other areas.Course OverviewThe course is divided into two parts: Foundations and Applications. The Foundations portion of the course introduces students to the basics of logic, set theory, relations, functions, and graphs. The Applications portion of the course covers combinatorics, discrete probability, mathematical induction, recursion, and algorithmic thinking. Throughout the course, we will explore real-worldapplications of these concepts and their relevance to computer science.Learning ObjectivesBy the end of the course, students should be able to: •Apply logic and set theory to solve problems in computer science.•Understand and analyze relations and functions, and use them to solve problems.•Represent and manipulate graphs and trees, and comprehend their use in modeling and solving problems.•Solve combinatorics problems and apply them to real-world scenarios.•Understand and apply mathematical induction to prove theorems.•Understand and apply the concept of recursion, including recursive algorithms.•Develop algorithmic thinking skills, including analyzing problem requirements and designing algorithms.TextbookDiscrete Mathematics and Its Applications, 8th Edition by Kenneth H. Rosen will serve as the primary text for the course. This textbook is a comprehensive and well-written introduction to discrete mathematics. It contns numerousexamples, problems, and mathematically rigorous proofs to support student learning.Course OutlinePart I: FoundationsChapter 1: The Foundations: Logic and ProofsThis chapter introduces students to the basics of mathematical language and logic. Topics include propositional logic, the different types of statements, and understanding proof techniques.Chapter 2: Basic Structures: Sets, Functions, Sequences, and SumsThis chapter is focused on set theory and its applications in computer science. Topics include set operations and properties, functions and their properties, sequences, and summations.Chapter 3: The Fundamentals: Algorithms, the Integers, and MatricesThis chapter covers the basics of algorithms, their classifications, performance analysis, and the use of recurrence relations. Also, students will be introduced tothe integers, divisibility and gcd, prime numbers, and matrices.Chapter 4: Induction and RecursionThis chapter explores mathematical induction, strong induction, and structural induction, as well as recursion and recursive algorithms.Chapter 5: CountingThis chapter introduces combinatorics, exploring permutations, combinations, and the binomial coefficients. Applications of these methods are presented in probability concepts.Chapter 6: Discrete ProbabilityThis chapter covers the fundamentals of probability theory and its applications in computer science. Topics include sample spaces and probability functions.Part II: ApplicationsChapter 7: Advanced Counting TechniquesThis chapter explores advanced counting techniques for solving combinatorial problems, including With Repetition and Generating Functions.Chapter 8: RelationsThe chapter introduces the concept of relations andpresents examples of relations, properties of relations, closure and matrix representation, and others.Chapter 9: GraphsThe chapter introduces the concept of graphs, including properties of graphs, graph colorings, Kruskal’s and Prim’s algorithms, network models, and the shortest path problem.Chapter 10: TreesThis chapter explores the concept of trees, spanning trees, rooted trees, binary trees, and traversal algorithms.Chapter 11: Boolean AlgebraThis chapter covers Boolean Algebra and Quine-McCluskey algorithms as common tools in digital circuitry synthesis.Chapter 12: Modeling ComputationThe final chapter covers models of computation andexplores the relationship between automata, formal languages, and complexity theory.AssessmentStudent understanding of course material will be evaluated through a combination of assignments, quizzes, mid-term and final examinations. Homework assignments will be given weekly or biweekly, and quizzes will be administered every two to three weeks. The final exam will be comprehensive and will cover all the topics of the course. Additionally, students will be expected to participate actively in class and online discussions.ConclusionDiscrete Mathematics and Its Applications is an essential course for students pursuing a degree in computer science, mathematics, or engineering. The course covers foundational topics in discrete mathematics in a comprehensive and engaging format, emphasizing real-world applications in computer science. It is hoped that this teaching plan will help students gn a deeper understanding and appreciation of this fascinating field.。
- 1、下载文档前请自行甄别文档内容的完整性，平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益，请联系客服反馈,我们会尽快为您处理(人工客服工作时间：9:00-18:30)。
1.导入项目当下载了包含Eclipse 项目的源代码文件后，我们可以把它导入到当前的Eclipse 工作区然后编辑和查看。
点击菜单File > Import，然后在弹出的Import 对话框中展开General目录,选择Existing Projects into Workspace，接着点击Next 按钮。
当选中单选钮Select root directory:时可以点击Browse…按钮选中包含项目的文件夹，如果包含项目的话就可以在中间的Projects 列表框中显示；而当选中单选钮Select archive file:时可以点击Browse…按钮选中包含项目的ZIP 压缩包，如果包含项目的话就可以在中间的Projects列表框中显示。
最后点击Finish 按钮就可以导入项目并打开了。
如下图所示：2.导出项目点击菜单File > Export，然后在弹出的Export 对话框中展开General 目录，选择Archive File，接着点击Next 按钮。
然后在To archive file:输出框中选中要保存的文件名，一般写成项目名.zip，然后点击Finish 按钮即可导出当前项目。
还有一种方式是手工打包，用WinRAR 或者WinZIP 等工具都可以。
一．制作HTML静态页面。
遇到的问题：1. 后台管理页面，左边页面的隐藏或者显示，利用表格布局。
在左边单元格中插入层，将单元格所有内容包起来，隐藏或者显示层，想象如果单元格中无内容就会自动收缩，失败。
用层将左边单元格包起来，隐藏或者显示层，想象如果层隐藏，左边单元格也不存在，失败。
直接给左边单元格设置ID，隐藏或者显示单元格，成功。
2. 首页页面，顶部导航条跳转。
直接给图片加上A标签，图片会被蓝色的线条包起来，失败。
用层将图片包起来，通过层的点击事件，实现跳转。
需要注意的是实际上需要加入一个光标的手型样式。
成功。
3，首页页面，右部跑马灯效果。
以为以前做过一个自动飘动的广告，看到这个就想起了offsetWidth系列命令，获取和设置元素的大小,style.top系列命令设置元素的位置。
遇到一个非常神奇的问题，用层将图片包起来，通过ID获取元素的宽度，竟然找不到对象。
将脚本写在层后面的任意位置竟然正常了。
推测javascript中的代码是按顺序执行的。
跑马灯的思路是用3个层实现的，最外面一个表格，第一个层layer1包主滚动的内容，第二个层layer2为空的，第三个层layer3将上面2个层包起来，同时，设置活动范围，溢出就用overflow:hidden处理，注意这里的高度和宽带必须是像素的。
首先将layer2复制layer1的内容，用innerHTML命令。
offsetTop元素距离顶部的像素，offsetHeight元素的高度，写方法当function Marquee(){if(dome2.offsetTop-dome.scrollTop<=0) //当滚动至dome1与dome2交界时dome.scrollTop-=dome1.offsetHeight //dome跳到最顶端else{dome.scrollTop++}}var MyMar=setInterval(Marquee,speed) //设置定时器dome.onmouseover=function() {clearInterval(MyMar)}//鼠标移上时清除定时器达到滚动停止的目的dome.onmouseout=function() {MyMar=setInterval(Marquee,speed)}//鼠标移开时重设定时器，继续滚动4.将js页面封装起来，避免重复的代码导入js页面<script language="javascript" src="\company\js\alwaysUpScroll.js">eclipse中js中文乱码解决...可依次选择"window">>"preferences">>"general">>"content types"在右边的窗口中打开列表,选中"JavaScript",在下面的"default encoding"右边的输入框中输入"GBK"或"GB2312"再点"update"按钮,再打开JS文件就可以.5.eclipse中貌似不支持细边框的样式，style="border-style:thin"，没用。
可以尝试border:solid; border-color:black; border-width:thin;也是细的；二.制作数据库1.window7不能直接附加xp系统的数据库，需要修改数据的权限为everyone完全控制。
虽然数据库文件默认是administrator完全控制，并且用管理员登录系统，但是不能直接附加数据库。
2.根据页面显示，判断数据库内容。
三.在web创建项目1.图片存image目录，cs存cs目录，js存js目录，每个板块有自己的目录，设立一个共享目录存需要重复的页面。
2.window7无法连接数据库，提示TCP/IP错误先找到SQL配置管理，发现TCP/IP协议没有打开，启用后，还是出现同样的错误。
百度一下，修改了TCP/IP协议动态IP端口为1433，成功。
完整的办法见java server pages 中的other目录。
3.分页查询问题，要将最新的显示在最前面select top 2 * from product where id not in(select top ((2-1)*2) id from product order by id DESC)order by id DESC子查询和父查询都要加上降序，这里有个误区，需要特别主要SQL语句的执行顺序。
先order by 再select4.sql server一般只设置一个主键，如果设置多个主键，sql将多个主键列的值拼接起来比较，保持主键唯一。
例如设置id列自动增加，保持用户名唯一，用户名列和id列都设为主键，和没设主键一样。
因为主键是id列和用户名列的拼接的字符串，永远唯一。
5.网站目录用/分开，文件目录用\分开。
6.打印脚本，最好language='javascript' type='text/javascript'都写上，不然有时候会出错out.print("<script language='javascript'type='text/javascript'>alert('Ìí¼Ó³É¹¦');location.replace('/company/a dmin/manage.jsp?addNews=' + 'addNews');</script>");脚本传值response.sendRedirect("/company/admin/manage.jsp?addNews=" +"addNews");response传值貌似写了脚本不能request跳转，不然脚本不会执行。
7.将所有JS脚本放到一个页面，貌似不好用，老出问题。
8,js好像不能重写方法，老出错；9.判断只执行其中一段代码，用return，结束。
10.点击选中文本的值onclick="select()"。
11.自动换行div style="word-break:break-all；12.表单提交方式没有长度限制，href跳转长度限制255个字节document.addReply.action ="/company/message/doMessage.jsp?selectReply=1&rPage="+rPage+"&mId="+m Id; //´øÖµÌøתҳÃædocument.addReply.submit();13.用include是整合成一个页面，框架集是单独的几个页面，刷新在线留言必须用框架集14.关闭窗口，执行JSP代码function window.onbeforeunload() //内置对象，关闭时激发{if(event.clientX>1000&&event.clientY<0||event.altKey) //设置或获取鼠标指针位置相对于窗口客户区域的 x 坐标，其中客户区域不包括窗口自身的控件和滚动条。
{//设置或获取 Alt 键的状态。
location.href='doChat.jsp?remove=1';}}15.尽量一个JSP写一个方法。
快捷键（eclipse）1. 常用快捷键(1)Ctrl+Space说明:内容助理。
提供对方法,变量,参数,javadoc等得提示,应运在多种场合,总之需要提示的时候可先按此快捷键。
注:避免输入法的切换设置与此设置冲突(2)Ctrl+Shift+Space说明:变量提示(3)Ctrl+/说明:添加/消除//注释,在eclipse2.0中,消除注释为Ctrl+\(4)Ctrl+Shift+/说明:添加/* */注释(5)Ctrl+Shift+\;说明:消除/* */注释(6)Ctrl+Shift+F说明:自动格式化代码(7)Ctrl+1 //*****************************说明:批量修改源代码中的变量名,此外还可用在catch块上.(8)Ctril+F6说明:界面切换(9)Ctril+Shift+M说明:查找所需要得包(10)Ctril+Shift+O说明:自动引入所需要得包(11)Ctrl+Alt+S说明:源代码得快捷菜单。
其中的Generate getters and setters 和 Surround with try/catchblock比较常用.建议把它们添加为快捷键.快捷键设置在windows->preferences->Workbench->Keys2. 快捷键列表编辑作用域功能快捷键全局查找并替换 Ctrl+F文本编辑器查找上一个 Ctrl+Shift+K文本编辑器查找下一个 Ctrl+K全局撤销 Ctrl+Z全局复制 Ctrl+C全局恢复上一个选择 Alt+Shift+↓全局剪切 Ctrl+X全局快速修正 Ctrl1+1全局内容辅助 Alt+/全局全部选中 Ctrl+A全局删除 Delete全局上下文信息 Alt+？Alt+Shift+?Ctrl+Shift+SpaceJava编辑器显示工具提示描述 F2Java编辑器选择封装元素 Alt+Shift+↑Java编辑器选择上一个元素 Alt+Shift+←Java编辑器选择下一个元素 Alt+Shift+→文本编辑器增量查找 Ctrl+J文本编辑器增量逆向查找 Ctrl+Shift+J 全局粘贴 Ctrl+V全局重做 Ctrl+Y查看作用域功能快捷键全局放大 Ctrl+=全局缩小 Ctrl+-窗口作用域功能快捷键全局激活编辑器 F12全局切换编辑器 Ctrl+Shift+W全局上一个编辑器 Ctrl+Shift+F6全局上一个视图 Ctrl+Shift+F7全局上一个透视图 Ctrl+Shift+F8全局下一个编辑器 Ctrl+F6全局下一个视图 Ctrl+F7全局下一个透视图 Ctrl+F8文本编辑器显示标尺上下文菜单 Ctrl+W 全局显示视图菜单 Ctrl+F10全局显示系统菜单 Alt+-导航作用域功能快捷键Java编辑器打开结构 Ctrl+F3全局打开类型 Ctrl+Shift+T全局打开类型层次结构 F4全局打开声明 F3全局打开外部javadoc Shift+F2全局打开资源 Ctrl+Shift+R全局后退历史记录 Alt+←全局前进历史记录 Alt+→全局上一个 Ctrl+,全局下一个 Ctrl+.Java编辑器显示大纲 Ctrl+O全局在层次结构中打开类型 Ctrl+Shift+H 全局转至匹配的括号 Ctrl+Shift+P全局转至上一个编辑位置 Ctrl+QJava编辑器转至上一个成员 Ctrl+Shift+↑Java编辑器转至下一个成员 Ctrl+Shift+↓文本编辑器转至行 Ctrl+L搜索作用域功能快捷键全局出现在文件中 Ctrl+Shift+U全局打开搜索对话框 Ctrl+H全局工作区中的声明 Ctrl+G全局工作区中的引用 Ctrl+Shift+G文本编辑作用域功能快捷键文本编辑器改写切换 Insert文本编辑器上滚行 Ctrl+↑文本编辑器下滚行 Ctrl+↓文件作用域功能快捷键全局保存 Ctrl+X Ctrl+S全局打印 Ctrl+P全局关闭 Ctrl+F4全局全部保存 Ctrl+Shift+S全局全部关闭 Ctrl+Shift+F4全局属性 Alt+Enter全局新建 Ctrl+N项目作用域功能快捷键全局全部构建 Ctrl+B源代码作用域功能快捷键Java编辑器格式化 Ctrl+Shift+F //*****************Java编辑器取消注释 Ctrl+/;Java编辑器注释 Ctrl+/Java编辑器添加导入 Ctrl+Shift+MJava编辑器组织导入 Ctrl+Shift+OJava编辑器使用try/catch块来包围未设置，太常用了，所以在这里列出,建议自己设置。