下图为某原电池的结构示意图,下列说法中不正确的是 [ ] A.原电池工作时的总反

题型:选择题

问题:

下图为某原电池的结构示意图,下列说法中不正确的是

[ ]

A.原电池工作时的总反应为Zn+Cu2+==Zn2++Cu该反应一定为放热反应

B.原电池工作时,Zn电极流出电子,发生氧化反应

C.原电池工作时,铜电极上发生氧化反应,CuSO4溶液蓝色变深

D.如果将Cu电极改为Fe电极,Zn电极依然作负极

考点:原电池原理
题型:选择题

My English teacher is _____________ Canada. [ ]

A. from

B. at

C. like

D. do

题型:选择题

易腐、易毁的鲜活商品、玻璃制品等应尽可能的选择( )。

A.短渠道

B.间接渠道

C.长渠道

D.宽渠道

题型:选择题

肛管直肠环由以下哪些肌肉或纤维组成

A.耻骨直肠肌

B.外括约肌深部

C.内括约肌

D.联合纵肌纤维

E.外括约肌皮下部

题型:选择题

由肾大盏汇集成的结构是()

A.肾盏 

B.肾盂 

C.肾门 

D.肾窦 

E.肾蒂

题型:选择题


American and Japanese researchers are developing a smart car that will help drivers avoid accidents by predicting when they are about to make a dangerous move.
The smart car of the future will be able to tell if drivers are going to mm, change lanes, speed up, slow down or pass another car.
If the driver’s intended action could lead to an accident, the car will activate a warning system or override the move.
(111) "By shifting the emphasis of car safety away from design of the vehicle itself and looking more toward the driver’s behavior, the developers believe that they can start to build cars that adapt to suit people’s needs," New Scientist magazine said.
Alex Pentland of the Massachusetts Institute of Technology collaborated on the project with Andrew Lin who works for the Japanese carmaker Nissan.
(112) Tests of their smart car using a driving simulator have shown that it is 95 percent accurate in predicting a driver’s move 12 seconds in advance.
(113) The system is based on driving behavior which the researchers say can be divided into chains of sub-actions which include preparatory moves.
It monitors the driver’s behavior patterns to predict the next move.
"To make its predictions, Nissan’s smart car uses a computer and sensors on the steering wheel, accelerator and brake to monitor a person’s driving patterns. (114) A brief training session, in which the driver is asked to perform certain maneuvers, allows the system to calculate the probability of particular actions occurring in two-second time segments," the magazine said.
Lin has also done work on tracking eye movement to predict driving behavior. (115) He said the smart car could be adapted to monitor eye movement which could give even earlier predictions of when a driver is about to make a wrong move.

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