People have smoked cigarettes for a long time now. The tobacco which is used to make cigarettes was first grown in what is now part of the United States. Christopher Columbus, who discovered America, saw the Indians smoking. Soon the dried leaves were transported to Europe. In the late 1800s, the Turks made cigarettes popular.

    Cigarette smoke contains at least two harmful substances, tar and nicotine. Tar, which forms as the tobacco burns, damages the lungs and therefore affects breathing. Nicotine, which is found in the leaves, causes the heart to beat faster and increases the breathing rate. Nicotine in large can kill a person by stopping a person's breathing muscles. Smokers usually take in small amounts that the body can quickly break down.

    Nicotine can make new smokers feel dizzy(头晕) or sick to their stomachs. The heart rate for young smokers increases 2 to 3 beats per minute. Nicotine also lowers skin temperature and reduces blood flow in the legs and feet. It plays an important role in increasing smokers' risk of heart disease and stroke.

    Smoking cigarettes is dangerous. Cigarette smoking was the cause of lung cancer and several other deadly diseases.

    Wouldn't it be wonderful to travel to a foreign country without having to worry about the headache of communicating in a different language?

    In a recent Wall Street Journal article, technology policy expert Alec Ross argued that, within a decade or so, we'll be able to communicate with one another via small earpieces with built-in microphones. That's because technological progress is extremely rapid. It's only a matter of time. Indeed, some parents are so convinced that this technology is imminent that they're wondering if their kids should even learn a second language.

    It's true that an increase in the quantity and accuracy of the data loaded into computers will make them cleverer at translating “No es bueno dormir mucho” as “It's not good to sleep too much.” Replacing a word with its equivalent (同义词) in the target language is actually the “easy part” of a translator's job. But even this seems to be a discouraging task for computers.

    It's so difficult for computers because translation doesn't—or shouldn't—involve simply translating words, sentences or paragraphs. Rather, it's about translating meaning. And in order to infer meaning from a specific expression, humans have to interpret a mass of information at the same time.

Think about all the related clues that go into understanding an expression: volume, gesture, situation, and even your culture. All are likely to convey as much meaning as the words you use.

    Therefore, we should be very skeptical of a machine that is unable to interpret the world around us. If people from different cultures can offend each other without realizing it, how can we expect a machine to do better? Unless engineers actually find a way to breathe a soul into a computer, undoubtedly when it comes to conveying and interpreting meaning using a natural language, a machine will never fully take our place.

    Whenever we talk about holidays, my mother teases my sister and me about how we “make out like robbers.” She is referring to the fact that we are half Jewish and half Indian, so we receive gits on both the festivals of lights. Hanukkah and Diwali. Though my mother teases us, I do not mind getting two sets of gifts!

    Hanukkah is celebrated on the 25th day of the Jewish month. Which is usually sometime in December. On Hanukkah, like most Jewish families. We light a menorah and say a prayer each night. We also say a special prayer on the first night. After that, it is a tradition tor my sister and me to do 'hot and cold', for our hidden Hanukkah gifts. When we walk towards the gift, our parents say 'hot' and when we walk further away, they say 'cold'. We each receive one present every night of Hanukkah. Another part I like about this holiday is seeing family members who we do not see often. My aunt usually stays for a few days, and we sometimes visit other relatives.

    Diwali is celebrated on the 13th day of the dark fortnight of the month of Ashwin(October / November). To celebrate Diwali, my family does a pooja, or prayers, in honor of the goddess Lakshmi. Since she is the goddess of wealth and prosperity, the pooja includes washing silver coins in milk and water. In India, people decorate their houses with lamps, similar to the way you might light up your house for Christmas. My family just places a few candles outside We also set off firecrackers, which is my favorite part. We often do this activity with friends to add to the excitement.

    Both holidays have different histories and stories. We celebrate them in different ways, yet they both have the same meaning. They both translate into. Festival of Lights, and they both mean family and presents for me!

    I admire my father for as long as I can remember. I loved the way he treated people with such respect and kindness.

    On Sundays we usually took the bus into Manhattan, where we would do interesting things, like riding the Circle Line. He would point out every landmark and tell us the history behind it. He loved to take us on the subway to Nathan's in Coney Island. Once there, he would give my sister and me each a five-dollar bill and then he would enjoy himself for the afternoon with his newspapers.

    In 1968, we went to see the movie “Oliver”, a Charles Dickens' classic story of a young orphan(孤儿) boy called Oliver. On the way home from the theater that afternoon he told us how he was raised in an orphanage(孤儿院) in New York after both of his parents died. He told us the nuns(修女) were wonderful to him and loved him like a mother would. As he grew older, he was placed in a few foster(寄养) families before he joined the Army.

    When we were teenagers, he still took us out each weekend and he would ask us to invite specific friends to join us and he would pay for them. We often went to Yankee Stadium to watch the baseball game and he bought us tickets in the least expensive seats. To keep the cost down, he waited for us in the car where he read his newspapers and then took a nap(小睡).

    He was always happy and appreciated everything he had. He loved his two little girls and later his two granddaughters. He gave so much, yet he had so little. He thought he was the richest man in the world.

    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.

    After moving to the United States, immigrant groups trying to fit in tend to choose high calorie fatty foods in an attempt to appear more American, a new study finds. That's one reason why immigrants approach US levels of obesity within 15 years of moving to America.

The researchers also did an experiment that measured whether or not the threat of appearing un-American influenced respondents' food choices. After being questioned about their ability to speak English 75 percent of Asian-Americans identified a typical American food as their favorite. Only 25 percent of Asian-Americans who had not been asked if they spoke English did the same.

    When their American identity was called into question during a follow-up study, Asian-American participants also tended to choose typical American dishes, such as hamburgers and cheese sandwiches.  In that experiment, 55 Asian-Americans were asked to choose a meal from a local Asian or American restaurant. Some participants were told that only Americans could participate in the study. Those who chose the more typical American fare ended up consuming an extra 182 calories,  including 12 grams of fat and 7 grams of saturated fat (饱和脂肪).

    "People who feel like they need to prove they belong to a culture will change their habits in an attempt to fit in," said Sauna Cheryan, an author of the study and assistant professor of psychology at the University of Washington.

    "If immigrants and their children choose unhealthy American foods over healthier traditional foods across their lives, this process of fitting in could lead to poorer health." Cheryan added.

    Social pressures, the study concluded, are at the heart of the problem.  "In American society today, being American is associated with being white. Americans, who don't fit this image even if they were born here and speak English, feel that pressure to prove that they're American," said Cheryan.