1 . Why do Americans struggle with watching their weight, while the French, who consume rich food, continue to stay thin? Now a research by Cornell University suggests how life style and decisions about eating may affect weight. Researchers concluded that the French tend to stop eating when they feel full. However, Americans tend to stop when their plate is empty or their favorite TV show is over.

According to Dr. Joseph Mercola, a health expert, the French see eating as an important part of their life style. They enjoy food and therefore spend a fairly long time at the table, while Americans see eating as something to be squeezed between the other daily activities. Mercola believes Americans lose the ability to sense when they are actually full. So they keep eating long after the French would have stopped. In addition, he points out that Americans drive to huge supermarkets to buy canned and frozen foods for the week. The French, instead, tend to shop daily, walking to small shops and farmers’ markets where they have a choice of fresh fruits, vegetables, and eggs as well as high-quality meats for each meal.

After a visit to the United States, Mireille Guiliano, author of French Women Don’t Get Fat, decided to write about the importance of knowing when to stop rather than suggesting how to avoid food. Today she continues to stay slim and rarely goes to the gym.

In spite of all these differences, evidence shows that recent life style changes may be affecting French eating habits. Today the rate of obesity-or extreme overweight-among adults is only 6%. However, as American fast food gains acceptance and the young reject older traditions, the obesity rate among French children has reached 17%-and is growing.

2 . Monkeys seem to have a way with numbers.

A team of researchers trained three Rhesus monkeys to associate 26 clearly different symbols consisting of numbers and selective letters with 0-25 drops of water or juice as a reward. The researchers then tested how the monkeys combined—or added—the symbols to get the reward.

Here’s how Harvard Medical School scientist Margaret Livingstone, who led the team, described the experiment: In their cages the monkeys were provided with touch screens. On one part of the screen, a symbol would appear, and on the other side two symbols inside a circle were shown. For example, the number 7 would flash on one side of the screen and the other end would have 9 and 8. If the monkeys touched the left side of the screen they would be rewarded with seven drops of water or juice; if they went for the circle, they would be rewarded with the sum of the numbers—17 in this example.

After running hundreds of tests, the researchers noted that the monkeys would go for the higher values more than half the time, indicating that they were performing a calculation, not just memorizing the value of each combination....

3 . As data and identity theft becomes more and more common, the market is growing for biometric(生物测量) technologies—like fingerprint scans—to keep others out of private e-spaces. At present, these technologies are still expensive, though.

Researchers from Georgia Tech say that they have come up with a low-cost device(装置) that gets around this problem: a smart keyboard. This smart keyboard precisely measures the cadence(节奏) with which one types and the pressure fingers apply to each key. The keyboard could offer a strong layer of security by analyzing things like the force of a user’s typing and the time between key presses. These patterns are unique to each person. Thus, the keyboard can determine people’s identities, and by extension, whether they should be given access to the computer it’s connected to—regardless of whether someone gets the password right.

It also doesn’t require a new type of technology that people aren’t already familiar with. Everybody uses a keyboard and everybody types differently.

In a study describing the technology, the researchers had 100 volunteers type the word “touch” four times using the smart keyboard. Data collected from the device could be used to recognize different participants based on how they typed, with very low error rates. The researchers say that the keyboard should be pretty straightforward to commercialize and is mostly made of inexpensive, plastic-like parts. The team hopes to make it to market in the near future.

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