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阅读理解。 Once there lived a very exact(精确的) man. One day when he was walking in the street, an old woman came over and asked him,' Excuse me, where is the nearest restaurant?' 'The nearest restaurant? You have to cross the bridge and then turn to the right,' answered the man. 'And is the bridge long?' 'Very long, thirty meters.' The old woman thanked him and went towards the bridge. Suddenly she heard someone running after her. 'Stop ! ' the man was shouting. 'I'm very sorry. I just remembered: the bridge is forty meters long. If you go thirty meters and then turn to the right, as I told you to do, you'll fall into the river. ' 1. What was the man doing one day? A. He was thinking about an interesting problem. B. He was doing some running in the park. C. He was on his way to see a film. D. He was walking in the street. 2. The old woman wanted _________. A. to buy a coat in a shop B. to go to the nearest restaurant C. to take a walk D. to go to the nearest theatre 3. The man first told her the bridge was _________. A. half a kilometer B. forty meters long C. thirty meters long D. twenty minutes' walk 4. Why was the man running after the old woman? Because _________. A. he just remembered the real length (长度) of the bridge B. he knew her name C. he didn't tell her the way to the restaurant D. he wanted to catch her 5. If he didn't stop her, the woman would _________. A. lose her way B. fall into the river C. be angry with him D. also find the restaurant
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参考答案:
举一反三
【多选题】以下属于市场交易规则的有( )。
A.
反不正当竞争规则
B.
安全卫生规则
C.
规范作价规则
D.
经营场地规则
E.
不符合要求的商品不许进入市场规则
【多选题】非联合型学习包括:
A.
习惯化
B.
敏感化
C.
顿悟式学习
D.
操作式条件反射
【单选题】不常用做数据挖掘的方法是(4)。
A.
人工神经网络
B.
规则推导
C.
遗传算法
D.
穷举法
【单选题】不常用作数据挖掘的方法是(53)。
A.
人工神经网络
B.
规则推导
C.
遗传算法
D.
穷举法
【多选题】非联合型学习包括:
A.
习惯化
B.
敏感化
C.
经典条件反射
D.
操作式条件反射
【单选题】运输管理的基本原则(运输的基本经济规律)是:( )
A.
规模经济和距离经济
B.
效率经济
C.
距离经济
D.
规模经济
【单选题】非联合型学习包括:
A.
条件反射和非条件反射
B.
习惯化和敏感化
C.
应激和应急
D.
交感和副交感
【单选题】马克思的名字第一次出现在中文报刊上是哪一年?
A.
1898
B.
1899
C.
1900
D.
1901
【单选题】中国现在推行的是以()为导向的全球化。
A.
经济
B.
发展
C.
规则
D.
技术
【单选题】不常用作数据挖掘的方法是______。
A.
人工神经网络
B.
规则推导
C.
遗传算法
D.
穷举发
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