Question 1
解释以下概念
(1)逆向占有权
(2)联权共有人与分权共有人
(3)土地租赁与许可
(4)Walsh诉Lonsdale案原则 (1984年9月)
查看答案
一位母亲因丈夫英年早逝,10年来含辛茹苦地把兄妹两人拉扯成人,可是没有想到两个孩子长大成人后却误入歧途,走上犯罪道路。因迷恋网吧,在其他人的诱使下,两人与他人合伙设计圈套勾引网友见面,并抢劫其钱财。后来事情败露,两人均被公安机关抓获,哥哥被判处缓刑,妹妹因情节较轻而被实施社区服务令(社区劳役)。
问题:
1.如果你是一个社工,着手负责这对兄妹的案例,你将以什么态度来对待这对兄妹?为什么?
2.作为矫治社会工作者,你认为该如何介入?请列出干预要点。
Max has no______(appreciate)of the fine things in life.
People who use pressure from their partner or doctor to kick-start weight loss are more likely to______.
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.
(81)