进入2m以上深度的井内作业，以下防坠落用品不适合作业人员穿戴的是（）。 A. 安全绳

看图填空。

 I'm ____________.

男性患者，69岁。丙肝后肝硬化24年。2天前聚餐后出现意识淡漠，行为反常，扑翼样震颤阳性，病情逐渐加重。查体：巩膜黄染，不能唤醒，腱反射和肌张力亢进，血氨230μmol／L。诊断：肝性脑病。

目前认为导致肝性脑病的机制是（）。

A.血氨干扰脑细胞三羧酸循环

B.大脑对中性氨基酸的摄取

C.酪氨酸学说

D.色氨酸学说

E.γ-氨基丁酸／苯二氮类神经递质学说

F.假性神经递质

G.球-管平衡学说

H.苯丙氨酸学说

I.长链脂肪酸学说

J.短链脂肪酸学说

患者50岁，双眼戴-5.00D近视眼镜，矫正视力1.0，其用眼镜度数应为

A．不用戴眼镜

B．+2.00D

C．-3.00D

D．+3.00D

E．-2.00D

血液肿瘤患者化疗后最常见导致感染的病原菌是（）

A.真菌

B.G+菌

C.G-菌

D.病毒

E.支原体

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.