【推荐3】When you choose a friend, you should be very careful. A good friend can help you study. You can have fun together and make each other happy. Sometimes you will meet fair weather (晴天) friends. They will be with you as long as you have money or luck, but when you are down, they will run away. How do I know when I have found a good friend? I look for certain qualities of character, especially understanding, honesty and reliability .

Above all else, I look for understanding in a friend. A good friend tries to understand how another person is feeling. He is not quick to judge. Instead, he tries to learn from others. He puts himself in the other person’s place, and he tries, to think of ways to be helpful. He is, also a good listener.

At the same time, however, a good friend is honest. He does not look for faults in others. He notices their good points. In short, good friends will be honest to each other and accept each other.

Another quality of a friend is reliability. I can always depend on a good friend. If he tells me he will meet me somewhere at a certain time, I can be sure that he will be there. If I need a favour, he will do his best to help me. If I am in trouble, he will not run away from me.

There is a fourth quality that makes a friend special. A special friend is someone with whom we can have fun. We should enjoy our lives, and we would enjoy our friendship. That is why I especially like friends who are fun to be with. A good friend likes the same things I like. We share experience and learn from each other. A good friend has a good sense of humour, too. He likes to laugh with me. That is how we share in the joy of being friends. And I know that he is looking for the same quality in me.

When I meet someone who is reliable, honest, and understanding, I know I’ve found a friend!

【推荐1】Can artificial intelligence uncover a liar? It sounds like science fiction, but such an AI system is possible. The question is: How accurate can it be? Rada Mihalcea, a professor of computer science and engineering at the University of Michigan, has worked on deception(欺骗) detection for about a decade. This is how they constructed one AI deception detector, and how it works.

The first thing that researchers working on artificial intelligence and machine learning need is data. In the case of the work that Mihalcea did, they began with videos from actual court cases. For example, a defendant speaking in a trial in which they were found guilty could provide an example of deceit(欺骗); they also used testimony(证词) from witnesses as either example of truthful or deceitful statements. Altogether, they used 121 video clips and the corresponding transcripts of what they said—about half represented deceptive statements, and half truthful. It was this data that they used to build machine learning classifiers that ultimately had between a 60 to 75 percent accuracy rate.

One thing the system noticed is the use of pronouns—people who are lying would tend to less often use the word ‘I’ or ‘we’, Mihalcea explains. “Instead, people who are lying would more often use ‘you,’ ‘yours,’ ‘he,’ ‘they,’ and ‘she.’” That’s not the only linguistic signal: someone telling a lie would use “stronger words” that “reflect certainty,” she says. Examples of those types of words are “absolutely,” and “very,” while interestingly, people telling the truth were more likely to use words such as “maybe” or “probably.” “I think people who are deceptive would try to make up for the lie they are putting forward,” she says, “and so they try to seem more certain of themselves.” As for gestures, she points out that someone being deceitful would more likely look directly into the eyes of the person questioning them. They also tended to use both hands when gesturing. Instead of just one—also, she suspects, as part of trying to be convincing.

However, Mihalcea’s work is “far from perfection,” she concedes. “As a researcher, we are content that we were able to get to 75 percent accuracy.” But looked at another way, that’s an error rate of one in four. Ultimately, she sees technology like this as being assistive for people—it could, for example, indicate that it noticed something “unusual” in a speaker’s statement, and then perhaps have a person “investigate more.”

【推荐2】Did you know that more than 40 percent of all deadly car accidents occur at night? A recent breakthrough eyeglass technology has made it safe to drive at night. I's almost like having “X-ray” eyesight while driving.

Spend money on your safety and peace of mind behind the wheel with a pair of these cutting-edge night driving glasses. Most car accidents that occur at night are mostly the result of poor visibility. Even with 60% less traffic on the road at night, accidents still happen due to blinding light and just overall bad driving visibility.

Imagine being able to clearly see what's in front of you and what's approaching, even if it's very dark and foggy. Once you start wearing ClearView night glasses, you'll feel much more confident and safe driving when it's getting dark. With ClearView you will notice an instant reduction in strong light from oncoming traffic and bright street lights.

This is because the special yellow lens tint(镜片色彩) can block strong blue light, and increase contrast( 对比). ClearView passes the global traffic light standard for safer sharper vision at night with flying colors.

You can start using ClearView at once even if you wear glasses. Simply place ClearView on top of your glasses and be amazed by the difference this technology makes!

Is it worth it? Absolutely! Keep a pair in each of your cars to make sure you have your glasses at hand when night comes. If you care about your family's safety then this is a no-brainer.

【推荐3】Ever since mobile phones became widely used around the world, there have been concerns about how safe they are. All mobile phones give off a small amount of radiation when in use, which many believe could be a cause of cancer. However, two recently published studies tried to finally answer the question of whether using mobile phones actually brings a dangerous risk to humans.

Carried out by the US government, the studies exposed rats and mice to radiation over the course of two years. A small number of the rats were found to have developed heart tumors (肿瘤) as a direct result of the radiation exposure. However, John Bucher, one of the study’s authors, said that the animals were exposed to far more radiation than even the heaviest mobile phone user would usually be, reported The New York Times. Bucher also added that the findings didn’t make him want to change his or his family’s mobile phone usage habits.

Indeed, the US Food and Drug Administration said it believes that it has “not found enough evidence that there are negative health effects on humans” from mobile phone use. Although mobile phones do give off radiation, it’s a different type of radiation than that given off by dangerous sources.

High-energy radiation – such as that given off by nuclear waste – is known to be very dangerous to humans as it is able to damage our DNA, leading to cancer or even death. On the other hand, low-energy radiation – such as the one given off by mobile phones – is considered to be harmless.

We’re exposed to this all the time, as it’s given off by everyday objects like WiFi routers (路由器), televisions, and even bananas. Some argue that when it comes to human health, however, you can’t be more concerned, even if the risk is only small. For those people, an earphone is advised when they are making phone calls and the time spent using mobile phones can be limited.

But don’t worry: there’s no need to take bananas off the menu.