题目内容

In the wake of 11 September, Visionics, a leading manufacturer, issued a fact sheet explaining how its technology could enhance airport security. They called it "protecting civilization from the faces of terror". The company’s share price skyrocketed, as did the stocks of other face-recognition companies, and airports across the globe began installing the software and running trials. As the results start to come in, however, the gloss (光滑表面) is wearing off. No matter what you might have heard about face-recognition software, Big Brother it ain’t. The concern was based largely on an independent assessment of face-recognition systems carried out in 2000 in the U. S. by the Department of Defense. These tests found that to catch 90 per cent of suspects at an airport, face-recognition software would have to raise a huge number of false alarms. One in three people would end up being dragged out of the line and that’s assuming everyone looks straight at the camera and makes no effort to disguise himself. Results from the recent airport trials would seem to justify that concern. Most face-recognition systems use some kind of geometric technique to translate a picture of a face into a set of numbers that capture its characteristics. Once it has identified these boundaries, the software calculates their relative sizes and positions and converts this geometry into what Visionics calls a "faceprint". Feed the software a series of mug-shots (通缉犯), and it’ll calculate their faceprints. Then it can monitor live CCTV images for the faces of known suspects. When it finds a match, it raises an alarm. Even if the system does manage to capture a face, the problems aren’t over. The trouble is that a suspect’s faceprint taken from live CCTV is unlikely to match the one in the database in every detail. To give themselves the best chance of picking up suspects, operators can set the software so that it doesn’t have to make an exact match before it raises the alarm. But there’s a price to pay: the more potential suspects you pick up, the more false alarms you get. You have to get the balance just right. Despite the disappointing tests, some people insist that face-recognition technology is good enough to put terrorists off. After all the claims and counter-claims, with no one able to discern (洞察) the truth, the industry may soon have to face up to reality. In the last paragraph, the author points out that ______.

A. anyway, the face-recognition technology is good enough to frighten the terrorists
B. the industry will have to recognize the real situation and work hard to improve the technology
C. all the claims are premature
D. we must not expect too much

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某实木地板生产企业(以下简称甲企业)为增值税一般纳税人,2011年1月发生以下业务: (1)向某建材店销售实木地板200箱,开具普通发票,取得含税收入20万元,另收取返还利润5万元、包装箱租金2万元。 (2)提供10万元的原材料委托乙企业加工A型实木紊地板100箱,收回时向乙企业支付不含增值税的加工费5万元,取得专用发票,乙企业已代收代缴消费税,乙企业没有同类货物的销售价格。 (3)委托加工收回后将其中90箱实木素地板继续加工成高档实木指接地板,以每箱不含税售价1.5万元通过非独立核算门市部销售完毕。将剩余10箱实木素地板作为年货福利分给职工,同类实木地板的不含税销售价为每箱0.98万元。 (4)将自产B型号木地板2000平方米无偿提供给某房地产公司,用来装修该房地产公司的样板间供客户参观,B型地板的账面成本为18万元,出厂不含税售价为每平方米160元。 (说明:实木地板的消费税税率为5%) 要求:根据上述资料,按照下列序号计算回答问题,每问需计算出合计数。 计算本月甲企业分给职工实木地板应缴纳消费税;

病人,女性,48岁,8月初由外地来京探亲,因“发热、头痛5天,神志不清2天”于9月 18日入院,经查后确诊为流行性乙型脑炎。 下列脑脊液检查结果,符合该病人特点的是( )。

A. 外观混浊,细胞数1500×106/L
B. 外观清亮,细胞数1200×106/L
C. 蛋白轻度升高,糖和氯化物正常
D. 蛋白明显升高,糖和氯化物明显降低
E. 蛋白、糖和氯化物均明显升高

Questions 11 to 18 are based on the conversation you have just heard.

A. He appreciates her concern.
B. He is indifferent.
C. He does not like it.
D. He cannot understand it.

I was advised _________________.(或者打电话,或者写信给该旅店订房).

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