My high school life has been filled with many ups and downs, whether it was social or academic. Even though my current high school was not my first choice, I never regretted attending Southside High School. “Since you have chosen it, then it is the best for you,” said my parents.

    Up until the junior year I did not realize my capabilities (能力) as a student. Being in the IB Program, I was told that my junior year would be the toughest in all the years of high school. With this “little” piece of information, I walked into my junior year, scared of my grades. As weeks went by, I started to believe that the junior year was not as hard as everyone had said, but I was wrong. My grades were rapidly declining(下降) and by the end of the first term I had five Cs in seven of my classes! I could not believe it — I did not want to believe it. I tried my best to get my grades up myself without any help from anyone, but my pride just made my grades worse. And I had to miss out on one of the most important speech and debate competitions all year: States. I was heartbroken. I realized that I could not survive my junior year on my own, so I had to get help fast.

    Once I got a tutor, my grades went from Cs, Ds, and even some Fs, to nothing but As and Bs. I slowly started to gain my confidence back in all of my classes and even myself. By the time the third and fourth quarter came around, I had been on the honor roll twice, and I was receiving awards from speeches and debates, tennis and school.

    Southside has taught me to always keep my head up and never give up on myself no matter what life throws at me. I am proud to be a Southside Tiger.

    You get on an almost-empty bus, but the next passenger decides to ignore all the empty seats to sit right next to you. While you are waiting in line at the supermarket, the next customer stands just behind you shouting into his phone.

    These are attacks of the personal space invaders(侵略者). Though preferences for personal space differ from culture to culture, we Britons do love our independence and personal space.

    As the British customs website Debrett has said, as a British person, somebody standing too close may make you “focus less on what somebody is saying than on how close they are to you”. Simple acts like putting an arm around someone you don't know that well may seem friendly in China, but they can make us very uncomfortable. The ediplomat.com website explains: “The British are not back slappers (拍打者) or touchers and generally do not show affection (喜欢) in public.”

    Being a British person around people from other countries can therefore be full of problems. People from many European countries such as France and Spain kiss each other on the cheek when they meet, yet to us this seems too friendly and “touchy-feely”.

    Simple matters like how close others stand can be problems to Britons who want to keep their own personal space. Giving advice on how to behave around a British person, Debrett's says that “if you can feel the warmth of their worried breath upon your face, then you're standing too close”.

    So, are British people unfriendly? No. The ediplomat.com website explains that we are not as “indifferent” as we may seem, but “very friendly and helpful to foreigners”. However, we do have different ideas about our own space to many people from other countries. Just let us know if you're going to come any closer than arm's length, and you'll be fine!

    If you love to read, and if you love social networking, you should check out Goodreads. Goodreads allows you to write reviews（评论）for everything you've ever read. You can see and comment on your friends' reading progress, as well as create or find a book club group page in your area.

    Goodreads is simple to use. When you sign up here for an account（帐户）, you will be able to find your friends by their email addresses or other accounts. Once you have some friends, every time you log in（登录）, you will see a timeline of their updates. You can see when they've added a book to a list, or when they've finished or reviewed a book. As soon as you have an account, you can also start looking for books you've read or that you want to read. Once you finish reading a book, you can go to the book page and review it.

    Finding your next book has never been easier. Now, not only can you search for books you know you want to read and add them to your “to read” list, but you can also easily see what your friends have recently read.

    If you are looking for a book club that meets in your area, you can search for that on Goodreads, too. Similarly, if you want to create your own book club, you can do that easily: just start a new group on Goodreads and update the page to show what books you're reading.

    Although English is not as old as Chinese, it is spoken by many people around the world every day. English speakers are always creating new words, and we are often able to know where most words come from.

    Sometimes, however, no one may really know where a word comes from. Did you ever think about why hamburgers are called hamburgers, especially when they are not made with ham? About a hundred years ago, some men went to America from Europe. They came from a big city in Germany called Hamburger. They did not speak good English, but they ate good food. When some Americans saw them eating round pieces of beef, they asked the Germans what it was. The Germans did not understand the question and answered. "We came from Hamburger." One of these Americans owned a restaurant, and had an idea. He cooked some round pieces of beef like those which the men from Hamburger ate. Then he put each between two pieces of bread and started selling them. Such bread came to be called "hamburgers". Today "hamburgers" are sold in many countries around the world.

    Whether this story is true or not, it is certainly is interesting. Knowing why any word has a certain meaning is interesting, too. The reason, for most English words, can be found in any large English dictionary.

    In 2009 a new flu virus was discovered. Combining elements of the viruses that cause bird flu and swine flu, this new virus, named H1N1, spread quickly. Within weeks, public health agencies around the world feared a terrible pandemic (流行病) was under way. Some commentators warned of an outbreak on the scale of the 1918 Spanish flu. Worse, no vaccine(疫苗) was readily available. The only hope public health authorities had was to slow its spread. But to do that, they needed to know where it already was.

    In the United States, the Centers for Disease Control and Prevention (CDC) required that doctors inform them of new flu cases. Yet the picture of the pandemic that showed up was always a week or two out of date. People might feel sick for days but wait before consulting a doctor. Relaying the information back to the central organizations took time, and the CDC only figured out the numbers once a week. With a rapidly spreading disease, a two-week lag is an eternity. This delay completely blinded public health agencies at the most urgent moments.

    Few weeks before the H1N1 virus made headlines, engineers at the Internet giant Google published a paper in Nature. It got experts' attention but was overlooked. The authors explained how Google could "predict" the spread of the winter flu, not just nationally, but down to specific regions and even states. Since Google receives more than three billion search queries every day and saves them all, it had plenty of data to work with.

    Google took the 50 million most common search terms that Americans type and compared the list with CDC data on the spread of seasonal flu between 2003 and 2008. The idea was to identify areas affected by the flu virus by what people searched for on the Internet. Others had tried to do this with Internet search terms, but no one else had as much data-processing power, as Google.

    While the Googles guessed that the searches might be aimed at getting flu information—typing phrases like "medicine for cough and fever"—that wasn't the point: they didn't know, and they designed a system that didn't care. All their system did was look for correlations(相关性) between the frequency of certain search queries and the spread of the flu over time and space. In total, they processed 450 million different mathematical models in order to test the search terms, comparing their predictions against actual flu cases from the CDC in 2007 and 2008. And their software found a combination of 45 search terms that had a strong correlation between their prediction and the official figures nationwide. Like the CDC, they could tell where the flu had spread, but unlike the CDC they could tell it in near real time, not a week or two after the fact.

    Thus, when the H1N1 crisis struck in 2009, Google's system proved to be a more useful and timely indicator than government statistics with their natural reporting lags. Public health officials were armed with valuable information.

    Strikingly, Google's method is built on "big data"—the ability of society to handle information in new ways to produce useful insights or goods and services of significant value. However,   ▲  . For example, in 2012 it identified a sudden rise in flu cases, but overstated the amount, perhaps because of too much media attention about the flu. Yet what is clear is that the next time a pandemic comes around, the world will have a better tool to predict and thus prevent its spread.

Advances in generative artificial intelligence (AI) have enabled authentic-sounding speech synthesis (语音合成) to the point that a person can no longer distinguish whether they are talking to another human or a deepfake (深度伪造). If a person's own voice is "cloned" by a third party without their agreement, bad guys can use it to send any message they want.

Computer scientist and engineer Ning Zhang has developed a new method to prevent unauthorized speech synthesis before it takes place: a tool called AntiFake.

Traditional deepfake detection methods only work after the damage is done. However, AntiFake prevents voice data from being synthesized into an audio deepfake beforehand. This tool turns the tables on cybercriminals (网络罪犯) by using similar voice cloning techniques they employ, but for voice protection. The software complicates voice data extraction and feature identification crucial for voice synthesis. "We're using an opposite AI technique originally used by cybercriminals, but now we're using it against them," Zhang explained. "We slightly change the recorded audio, just enough to make it unusable for voice clone training while still sounding natural to humans."

Ben Zhao, a professor of computer science at University of Chicago, says that the software, like all digital security systems, will never provide complete protection. But, he adds that it can raise the bar and limit the attack to a smaller group of individuals with significant resources.

AntiFake can already protect shorter voice recordings against cloning. The creators of the tool believe that it could be extended to protect larger audio documents or music from misuse. But the methods and tools that are developed must be continuously adapted because cybercriminals will learn and grow with them.