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    竹村坐落在杭州市郊的青龙山脚下。它三面环山,一面靠水。每当春暖花开时节,山间那婉蜒曲折的溪水便潺潺地流入村前的青龙河中。

    村后,漫山遍野郁郁葱葱,莶翠欲滴。那高大挺拔的是青竹,那纤巧细嫩的乏茶树相互掩映,编织成翡翠的绿衫。    

    春天,茶农家家户户起早贪黑地摘春茶。姑娘们身背茶篓,迎着朝霞,踏着畏露,穿梭般地巡回在茶树家。她们那灵巧的双手不停地上下飞舞:时而如小鸡啄米,时而如彩蝶翩跹,时而又如钢琴家娴熟地演奏贝多芬的《田园交响曲》。一大捧一大捧鲜嫩的茶叶装进了背篓。她们那五彩的衣裳点缀着明丽柔和的绿色的海洋,引得那小蜜蜂看花了眼,忙着追逐那不断晃动的花朵儿。    

    太阳升上了头顶,露珠不知什么时候悄悄地隐没了身子。背篓快满了,只听见此起彼伏的山歌在山坡上(    )。小鸟儿争先恐后,像开赛歌会似的在枝头吱吱喳喳。空气中弥漫着早茶的清香,沁人心脾,使人陶醉。    

    落日的余晖(    )了天空,小鸟归巢了,晚霞也回家了。村里家家的烟囱冒出(    )青烟。婉蜒的山路上晃动着姑娘们的衣衫,小扁担吱嘎嘎地响着,把一担担冒尖的新茶挑下山来,焙制成驰名中外的龙井。    

    每当我品尝这甘醇晶萤的碧茶时,心中便踊起(    )乡思……

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       In Los Angeles, drivers spend sixty­one hours every year stuck in traffic. These drivers know too well how bad the traffic can be. “There're too many cars, and you can't move around a lot.”

       Professor Cyrus Shahabi also knows about traffic jams. He lives more than 65 kilometers from his office at the University of Southern     California in Los Angeles. He is always late even with the help of a navigation (导航) system.

       He decided to develop a program called ClearPath for that. He says his program uses historical data to predict traffic conditions even before the driver leaves the house.

   “What's unique is that we use a lot of data that's currently become available including traffic data, weather data, and we analyze that so that we can predict what's going to happen in front of you when you leave home.”

      Professor Shahabi says his system does more than just respond to current traffic conditions. With ClearPath, he says, a driver can decide what time he wants to leave, and ClearPath will give the fastest route. It looks at the entire road network, including surface streets as well as highways, before the driver hits the road. Professor Shahahi hopes to have ClearPath available nationwide and overseas once they can collect traffic data from other cities.

   “I always thought that Los Angeles had the worst traffic, but now I know that Shanghai, Beijing, Seoul, Tokyo, believe it or not, Singapore, Hong Kong certainly are examples that can immediately use this.”

       Professor Shahabi hopes to share this new technology with companies that already have navigation systems, such as Google and Apple.