Body language is an important part of communication(交流). If you want to communicate well, it's important to understand how you can (and can't) use your body to say what you mean, especially when you're in a foreign country. If a person is bored, he won't look at the person who is talking to him. He will find other things to do. He may also keep looking at his watch or a clock. If a person is open to you, his arms and legs will not be crossed. And if a person is relaxed, you will know it by looking at his body, even his breathing is slower.

Here are some examples of body language:

    Terrible disasters in the last 50 or 100 years have become increasingly common. Over the last 30 years, the number of weather-related disasters has increased quickly, and the disasters have also affected more people and caused more economic loss. However, much of this could be avoided through disaster risk reduction(DRR降低灾难风险).

    A meeting, held in Sendai, Japan last month, opened one day after Cyclone Pam（飓风Pam）hit Vanuatu, which struck the islands with winds of up to 340km/h and destroyed the island nation. The speech by the President of Vanuatu was given shortly after that. He begged the international community for support and stronger commitment (承诺)to helping them manage climate and disaster risks. In the face of disasters, it is always the developing countries that suffer most. Damage in these countries is often worse and unluckily, there is limited money and technique to prevent these disasters.

    In fact, we have seen Asian countries-especially those that have suffered a lot in disasters can't pay the price. Great loss Asia has suffered comes to a total of almost $ 53 billon yearly over the past 20 years.

    At the same time, studies have shown once again that proper prevention saves lives and damage. With this in mind, people at the Sendai meeting were able to come up with new agreements that effective ways of disaster risk reduction will be carried out in the coming years for those who easily get damaged in disasters.

    Many Americans think of driverless cars as a futuristic technology that will revolutionize travel in cities and along state highways. But recent experiments are proving that autonomous vehicles also have the potential to improve the quality of life for millions of Americans underserved by traditional modes of transportation, such as the elderly and disabled, so long as lawmakers make smart policies that pave the way for innovation.

    A retirement community in San Jose, Calif. , which has been transformed by a small fleet of driverless taxis, shows the potential of self-driving cars to transform people's lives. Built by a tech start-up called Voyage, the modified Ford Fusions are currently limited to a two-mile road, but residents are already having the benefits of these autonomous vehicles, which allow them to participate in social activities they would otherwise be unable to enjoy simply because they could not get to them.

    When the trial run finally expands to 15 miles of road, these residents—whose average age is 76—will also have a convenient and reliable new way to appointments. As these cars continue to serve residents there, it is easy to understand why California is moving to simplify regulations for the industry.

    In Michigan, forward-thinking policies have the potential to unlock other hidden benefits of autonomous vehicles, especially for those with physical disabilities. The Michigan Disability Rights Coalition has strongly advocated for the development of this technology, saying that it could give people with disabilities greater opportunities in the workforce and enable them to lead more fulfilling, independent lives.

    Many recognize that autonomous vehicles will be the future of transportation, but it is too often overlooked that this future cannot arrive fast enough for millions of Americans who are forced to depend on others for day-to-day travel. The policymakers should follow the lead of places like California and Michigan, and pass rules and regulations to unlock these hidden benefits of driverless cars.

    In my bag I always carry the same essential items: my keys, my purse, some loose change, my mobile phone and my little blue vocabulary notebook. This year I am living abroad in Germany and I am trying to learn as much German as possible. I always knew that living abroad would be a great way to learn a foreign language but one thing I didn't realize was how many new words and phrases I would come across every day! I see and hear new words everywhere; the announcements in the train station; menus in cafes; on social media; on the local newspaper and of course from my German-speaking friends.

    At first I was slightly upset by the large amounts of German I didn't understand. Speaking German in Germany is definitely very different from that in the classroom; I kept on looking up new words and by the end of the day I had forgotten most of them already. It was very frustrating. After a month of worrying that I would never be able to improve my language skills, I went to the stationery shop and bought a small notebook which easily fit into my handbag or even into my back pocket! I set myself the goal of writing five new words or phrases a day into my little blue book and soon enough it became one of my most valuable language-learning tools.

    I don't have any rules about which words I write down. Most days I write down words that I learn from my colleagues at work, words that I don't understand in reading or words that I have learned from seeing them in context. For example, I have learned the names of many fruits and vegetables from looking at their labels in the supermarket (a very unexpected source of vocabulary!) and I have learned many words that I have heard on TV or on the radio. It doesn't even matter if I know how to spell a new word straight away. If I hear a word but I don't know how to spell it, I write down how I think it sounds and look it up later.

    My little blue vocabulary book is now like my close friend. We go everywhere together. Setting this small daily goal has made me feel much more in control of my language teaming and I am already seeing an improvement. I will continue to use it for the rest of my stay in Germany and also when I return to university at home in September.

    Hi, everyone! I am Paul Hawking, the trip leader for this weekend's activity.

    It's that time of the year again when the days are long and it is nice to sit outside and enjoy some oysters(牡蛎).

    We plan to head out to the Mission Bay this Sunday for a beach picnic. You can buy fresh oysters at the Mission Bay Oysters Company and you just need to pay $6 to $10 for each dozen, depending on the size. It's on Sunday, June 30.

    We will meet at the Student Center at 9:00 a.m. and all go together. The driving time is one and a half to two hours, and the time of return is still uncertain. Come and join us in what must now be the 4^th or 5^th such trip for the Outing Club.

    The oyster farm has a small picnic area with chairs and barbecue grills(烧烤架). Bring some briquettes(煤球) if you would like to grill. Except for oysters, oysters and oysters, little is available there, so please bring your own food and drinks. And of course, if you have any special oyster recipes(食谱), bring them, make them and share them!

    The weather forecast(预报) says it's going to be sunny and around 26℃ this weekend. My telephone number is 408-896-3228. Please feel free to call me if you have any questions. Remember to finish your homework before we leave for the picnic.

    About one million adults in the USA need someone to help them eat. Researchers at the University of Washington are working on a robotic system that can help make it easier. After identifying different food on a plate, the robot can decide how to use a fork to pick up and deliver the desired bite to a person s mouth.

    "Being dependent on a caregiver to feed every bite every day takes away a person's sense of independence," said the researcher. "Our goal with this project is to give people a bit more control over their lives the idea was to develop a feeding system that would be attached to wheelchairs and feed people whatever they wanted to eat.

    "When we started the project, we realized there are so many ways that people can eat a piece of food depending on its size, shape or consistency(坚实度)," said the researcher, "So we set up an experiment to see how humans eat common foods. "

    The researchers arranged plates with about a dozen different kinds of food, ranging in consistency from hard carrots to soft bananas. Then the team gave volunteers a fork and asked them to pick up different pieces of food and feed them to a model. The fork contained a sensor to measure how much force people used when they picked up food.

    To design a feeding strategy that changes based on the food item, the researchers combined two different algorithms (算法). First they used an object-detection algorithm called Retina Net, which scans the plate, identifies the types of food on it and places a frame around each item. Then they developed SPNet, an algorithm that examines the type of food in a specific frame and tells the robot the best way to pick up the food.

    The team is currently working with the Taskar Center for Accessible Technology to get advice from caregivers and patients on how to improve the system to meet people's need.