Soft winds blew throughout the Windy City today. We welcomed the winds, as it was another hot day in Chicago. The wind blew, bringing us some coolness and making the weather not that hot. But it was a beautiful summer day with a blue sky.

    Chicago is a great city for eating, and we have enjoyed tasting the different foods. Last night, we tried one of the city's most famous foods: deep-dish pizza. Chicago claims credit for the rich and cheesy thick-crust pizza, covered with a sweet tomato sauce. We topped it with olives and green peppers.

    We were touring the city, mainly looking for delicious local foods. Today, we enjoyed a Polish specialty at lunch: Pierogis, an Eastern European dumpling-like dish, filled with foods like potatoes, cheese, mushrooms, cabbage and meat. Polish immigrants started settling in Chicago in the 1850s, and the city has one of the largest Polish communities in the U.S.

    We took a break from exploring the city to talk with some of you! Ashley and Caty logged onto the Internet for an on-the-road version of TALK2US. We spoke to an English teacher in Tokyo, Japan, and a graduate student in India.

    Meanwhile, Adam searched for some locations around the city to shoot some video. He chose a spectacular spot: Navy Pier, Chicago's most-visited attraction. The winds from Lake Michigan keep visitors cool, and the view of the Chicago skyline never fails to impress. In fact, the view made all of us head over heels!

    Our time in Chicago has come to an end. Tomorrow, the true journey begins, as we pass through Illinois and into Missouri via Route 66. Springfield, the home of Abe Lincoln, and St. Louis, the "gateway to the West," wait for us.

    72-year-old Darlene Mullins recently graduated from Tennessee State University in Nashville, Tennessee. Darlene left school nearly 55 years ago in the name of love. She was studying at the college and met her husband-to-be, John Mullins, in 1962. The two knew they would marry each other the moment they met. She finished her freshman year with 25 credits and married John in 1963. Her husband graduated in 1964 and began working.

    Darlene took care of the household and was a stay-at-home mother to their son and daughter. The family lived in six states over the years, due to John's successful career in business. Darlene eventually began a career in retail as their children grew older. Though she remained busy, she always longed to finish school. She always told her children to make sure they finish what they started and she kind of felt it was time to live up to her own dream.

    John was very supportive when she told him she was going back to school. He knew the day would come when she decided to finish her degree. He told her whenever she was ready they would go. The couple moved back to Nashville in 2013 when Darlene re-enrolled. She had to adjust to the technological advances in the classroom, saying that she was determined to finish no matter how long it took. After completing four years, Darlene graduated with a degree, “I feel like God has given me a second chance.” she said' She hopes that her story can inspire others to pursue a degree.

    Since 2013,Torobo, a robotic are designed to test the limits of artificial intelligence, has had one ambition—to be admitted to the University of Tokyo, one of Asia's top-ranked educational institutions. Although equipped with an extensive database of textbooks and other teaching materials, Torobo has repeatedly failed to obtain the university's required minimum 80% score in the National Center Test, a yearly standardized entrance examination adopted by Japanese universities. This year was no exception.

    In early November, Torobo, along with millions of Japanese high school students, took a mock(模拟的)exam to prepare for the all-important standardized test.

    Torobo's total score of 525 out of 950, which was higher than the national average, was enough for it to get admitted to many other influential Japanese universities.

    However, its standard score of 57.1%, though 14 points higher than in 2015, still fell short of the minimum required for the University of Tokyo.

    A closer analysis of the results showed that Torobo was able to draw from its database to solve knowledge-based questions and ones involving complex mathematical calculations, but it had a hard time thinking independently, failing to comprehend multiple sentences and phrases to arrive at the logical conclusions. This weakness was reflected in its shabby English scores.

    Fortunately, the robot's creators have decided to free Torobo from its four-year sufferings. Noriko Arai, professor of the University of Tokyo who heads the team, says, “From the present results, we are able to evaluate the possibilities and limits of artificial intelligence. From now on, we will grow its abilities in the fields where it is doing well and aim to improve them to levels that can be applied in industry.” So while Torobo will never graduate from the University of Tokyo, it can still look forward to a bright future!

    While staring out of the window during a flight, not everyone will think carefully about the question why airplanes have rounded windows rather than square ones.

    Over the years, aerospace engineering has made huge steps in airplane technology, meaning planes can carry more passengers and go faster. The planes have also changed shape to increase safety—including the windows. As commercial air travel took off in the mid－20th century, airline companies began to fly at higher altitudes to lower their cost—the air density(密度) is lower up there, creating less drag(阻力)for airplanes. However, higher altitudes came with problems, like the fact human beings can't really survive at 30，000 feet. To make that possible, the cabin was changed to a cylindrical(圆柱体) shape to support the pressure inside. But at first, plane builders left in the standard square windows and this expansion meant disaster. The de Havilland Comet came into fashion in the 1950s. With a closed cabin, it was able to go higher and faster than other aircraft.

    However, where there's a corner, there's a weak spot. Windows, having four corners, have four potential weak spots, making them likely to crash under stress—such as air pressure. By curving the window, the stress that would eventually break the window corner is distributed and the chance of it breaking is reduced. Rounded shapes are also stronger and resist deformation(变形), and can thus survive the extreme differences in pressure between the inside and outside of the aircraft.

    Fortunately, designers figured out the lack of design pretty quick. Now we have nice, rounded airplane windows that can resist the pressure of traveling altitude. It gives being able to gaze out of your window to the world from 35，000 feet a whole new outlook, doesn't it?

    Prosocial behaviors are those intended to help other people. Behaviors that can be described as prosocial include feeling empathy(同感) and concern for others and behaving in ways to help or benefit other people.

    Prosocial behavior has long posed a challenge to social scientists seeking to understand why people engage in helping behaviors that are beneficial to others, but costly to the individual performing the action. Why would people do something that benefits someone else but offers no immediate benefit to the doer?

    Psychologists suggest that there are a number of reasons why people engage in prosocial behavior. In many cases, such behaviors are fostered during childhood and adolescence as adults encourage children to share, act kindly, and help others. Prosocial behaviors are often seen as being compelled by a number of factors including egoistic reasons (doing things to improve one's self­image), reciprocal benefits (doing something nice for someone so that they may one day return the favor), and more altruistic reasons (performing actions purely out of empathy for another individual).

    Characteristics of the situation can also have a powerful impact on whether or not people engage in prosocial actions. The bystander effect is one of the most notable examples of how the situation can impact helping behaviors. The bystander effect refers to the tendency for people to become less likely to assist a person in distress when there are a number of other people also present. For example, if you drop your purse and several items fall out on the ground, the likelihood that someone will stop and help you decreases if there are many other people present. This same sort of thing can happen in cases where someone is in serious danger, such as when someone is involved in a car accident. In some cases, witnesses might assume that since there are so many other present, someone else will have surely already called for help.

    Why do people help in some situations but not in others? Experts have discovered a number of different situational variables that contribute to (and sometimes interfere with) prosocial behaviors. First, the more people that are present decreases the amount of personal responsibility people feel in a situation. People also tend to look to others for how to respond in such situations, particularly if the event contains some level of ambiguity. Fear of being judged by other members of the group also plays a role. People sometimes fear leaping to assistance, only to discover that their help was unwanted or unwarranted. In order to avoid being judged by other bystanders, people simply take no action.

    Experts have suggested that some key things must happen in order for a person to take action.

With a brain the size of a pinhead, insects perform fantastic navigational （导航的）abilities. They avoid obstacles and move through small openings. How do they do this, with their limited brain power? Understanding the inner workings of an insect's brain can help us in our search towards energy-efficient computing, physicist Elisabetta Chicca of the University of Groningen demonstrates with her most recent result: A robot that acts like an insect.

In search of the neural（神经的） mechanism that drives insect behaviour, PhD student Thorben Schoepe developed a model of its neuronal activity and a small robot that uses this model to navigate. Schoepe's model is based on one main principle: always steer towards the area with the least apparent motion.

He had his robot drive through a long "corridor"—consisting of two walls with a random print on it—and the robot centred in the middle of the corridor, as insects tend to do. In other virtual environments, such as a space with obstacles or small openings, Schoepe's model also showed similar behaviour to insects.

"The model is so good," Chicca concludes, "that once you set it up, it will perform in all kinds of environments. That's the beauty of this result."

The fact that a robot can navigate in a realistic environment is not new. Rather, the model gives insight into how insects do the job, and how they manage to do things so efficiently.

Chicca explains, "Much of robotics is not concerned with efficiency. We humans tend to learn new tasks as we grow up and within robotics. This is reflected in the current trend of machine learning. But insects are able to fly immediately from birth. An efficient way of doing that is hardwired in their brains. In a similar way, you could make computers more efficient."