It is easy for many people to catch a cold in the springtime or fall. It makes us wonder if scientists can send a man to the moon, why can't they find a cure for the common cold? The answer is easy. There are actually different cold viruses out there. You never know which one you will get, so there isn't a cure for each one.

When a virus attacks your body, your body works hard to get rid of it Blood rushes to your nose and causes a block in it. You feel terrible because you can't breathe well, but your body is actually eating the virus. Your temperature goes up and you get a fever, but the heat of your body is killing the virus. You also have a runny nose to stop the virus from getting into your cells. You may feel very uncomfortable, but actually your wonderful body is doing everything it can to kill the cold.

Different people do different things to deal with colds. In the United States and some other countries, for example, people might have chicken soup to help them get over the cold. Some people take hot baths. Other people take medicine to stop different symptoms(症状)of colds.

There is one interesting thing to note一some scientists say taking medicine when you have a cold is actually bad for you. The virus stays in you longer because your body doesn't have a way to fight it and kill it Bodies can do an amazing job on their own. There is a joke, however, on taking medicine when you have a cold. It goes like this:

It takes about one week to get over a cold if you don't take medicine, but it takes only seven days to get over a cold if you take medicine.

①As missing children get older，they become quite different from the faces in their last﹣known photographs，which makes finding the really difficult. Now AI（人工智能）can make it easier to match any found children to those old photos. 

②Police can use software（软件）to age photos of missing people，but it seems to work best in adults

③Unlike adults ，the faces of children change greatly as time goes by，and matching photos of found children to old images（画像）（数据库）of missing children is difficult. "Even with a recent face image of a child，it is quite hard for a human to recognize（辨认），who the child is from a large data set of child face images，" says Debayan Deb at Michigan State University. 

④Now Deb and his teammates have created an algorithm（算法）to work out the problem. They created a face﹣recognition algorithm on data sets，which have images of nearly 1

⑤AI learned to match recent photographs of children with images taken 2. 5 years earlier. The correct matching rate can be 80 percent. With one year between the two photographs，it was 90 percent correct at recognizing faces. This dropped to 73 percent after three years. The new AI might help to improve accuracy （准确性）of this kind of software

⑥Deb's next goal（目标 ）is to make the age gap wider. His team also hopes to develop an app to fight against the sale of children. 

When Robert was about two years old, he tried to remove a bottle of milk from the fridge but it fell, spilling (洒出) milk all over the kitchen floor.

When his mother came into the kitchen, instead of shouting at him or punishing him, she said, "Robert, what a great and wonderful mess you have made! I have seldom seen so much milk. Well, the damage has already been done. Would you like to get down and play in the milk for a few minutes before we clean it up?"

In fact, he did. After a few minutes, his mother said, "You know, Robert, whenever you make a mess like this, finally you have to clean it up and bring everything back to its proper order."

After they cleaned up the spilled milk, his mother then said, "You know, what we have here is a failed experiment in how to effectively carry a big milk bottle with two hands. Let's go out in the back yard and fill the bottle with water and see if you can discover a way to carry it without dropping it."

The little boy learned that if he grasped the bottle at the top near the lip with both hands, he could carry it without dropping it. At that moment he knew he didn't need to be afraid to make mistakes. Instead, he learned that mistakes were just good chances for learning something new, which is, after all, what scientific experiments are all about. Even if the experiment "doesn't work", we usually learn something valuable from it.

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