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Q2763202 Inglês

Read the text and answer questions 22 to 25.

Slowly does it
Feb 19th 2015, 17:34 BY R.L.G. | BERLIN


LAST week’s column looked at the long history of language declinism: for more than 600 years people have complained that youngsters cannot write proper English anymore, and even ancient Sumerian schoolmasters worried about the state of the “scribal art” in the world’s first written language. Two universal truths emerge: languages are always changing, and older people always worry that the young are not taking proper care of the language.
But what if the sticklers have a point? Of course language always changes, but could technology (or a simple increase in youthful insouciance and lack of respect for tradition) mean that in some ages it changes faster than in others? Is change accelerating? In this case, a real problem could arise. Even if language change is not harmful, the faster language changes, the less new generations will be able to understand what their forebears wrote.
The Middle English quotation in last week’s column ________ the point for some readers: it is all but impenetrable to modern understanding without special training. It is, in effect, a foreign language. Is this a problem? Perhaps it is too much to expect writing to stay fresh on the shelf for 600 years. More recent writing holds up quite well. Pupils read Shakespeare with only modernised spelling and a bit of help from teachers. And Thomas Jefferson and Jane Austen are perfectly readable.
But maybe a greater conservatism would let modern readers peer further back in their own literary history. If change had been slower, perhaps Chaucer would be only as difficult as Shakespeare is to us; “Beowulf” only as distant as Chaucer is now. What’s not to like?
The problem is that conservatism works differently on writing than it does on speech. Writing is more permanent, so people choose their words carefully and conservatively. It is slow and considered, so people can avoid new usages widely seen as mistakes. It is taught carefully by adults to children, which naturally exerts some conservative drag on the written language. And it is often edited, so (say) a young journalist with a breezy contemporary style may well be edited to a more traditional one by an older editor.
Speech is different: instead of permanent, slow, considered and taught, it is impermanent, fast, spontaneous and learned naturally by children from their surroundings. Speech will—at almost any level of linguistic conservatism—change faster than written language.
The problem with overly successful conservatism then becomes clear. Speech moves on, writing does not, and the two diverge over time. Take just one example: English spelling. As with all languages, the pronunciation of English has changed a lot over the centuries. Spelling has changed much more slowly. Thanks to the Great Vowel Shift of the middle of the last millennium, English uses vowels differently from almost all other European languages. Silent letters like the gh in night are a remnant of an earlier pronunciation (a bit like the German nicht). Other odd spellings were intended to keep etymologies clear: a b was inserted into debt to show the link with Latin debitum. Some linguistic innovations do not make it into writing at all: nearly everyone says gonna and writes going to. ________ a language pays homage to the past, _________modern schoolchildren will find learning to write a bit like learning to speak a foreign tongue.

Which verbal tense best completes the sentence” The Middle English quotation in last week’s column ________ the point for some readers”

Alternativas
Q2763199 Inglês

Read the text and answer questions 22 to 25.

Slowly does it
Feb 19th 2015, 17:34 BY R.L.G. | BERLIN


LAST week’s column looked at the long history of language declinism: for more than 600 years people have complained that youngsters cannot write proper English anymore, and even ancient Sumerian schoolmasters worried about the state of the “scribal art” in the world’s first written language. Two universal truths emerge: languages are always changing, and older people always worry that the young are not taking proper care of the language.
But what if the sticklers have a point? Of course language always changes, but could technology (or a simple increase in youthful insouciance and lack of respect for tradition) mean that in some ages it changes faster than in others? Is change accelerating? In this case, a real problem could arise. Even if language change is not harmful, the faster language changes, the less new generations will be able to understand what their forebears wrote.
The Middle English quotation in last week’s column ________ the point for some readers: it is all but impenetrable to modern understanding without special training. It is, in effect, a foreign language. Is this a problem? Perhaps it is too much to expect writing to stay fresh on the shelf for 600 years. More recent writing holds up quite well. Pupils read Shakespeare with only modernised spelling and a bit of help from teachers. And Thomas Jefferson and Jane Austen are perfectly readable.
But maybe a greater conservatism would let modern readers peer further back in their own literary history. If change had been slower, perhaps Chaucer would be only as difficult as Shakespeare is to us; “Beowulf” only as distant as Chaucer is now. What’s not to like?
The problem is that conservatism works differently on writing than it does on speech. Writing is more permanent, so people choose their words carefully and conservatively. It is slow and considered, so people can avoid new usages widely seen as mistakes. It is taught carefully by adults to children, which naturally exerts some conservative drag on the written language. And it is often edited, so (say) a young journalist with a breezy contemporary style may well be edited to a more traditional one by an older editor.
Speech is different: instead of permanent, slow, considered and taught, it is impermanent, fast, spontaneous and learned naturally by children from their surroundings. Speech will—at almost any level of linguistic conservatism—change faster than written language.
The problem with overly successful conservatism then becomes clear. Speech moves on, writing does not, and the two diverge over time. Take just one example: English spelling. As with all languages, the pronunciation of English has changed a lot over the centuries. Spelling has changed much more slowly. Thanks to the Great Vowel Shift of the middle of the last millennium, English uses vowels differently from almost all other European languages. Silent letters like the gh in night are a remnant of an earlier pronunciation (a bit like the German nicht). Other odd spellings were intended to keep etymologies clear: a b was inserted into debt to show the link with Latin debitum. Some linguistic innovations do not make it into writing at all: nearly everyone says gonna and writes going to. ________ a language pays homage to the past, _________modern schoolchildren will find learning to write a bit like learning to speak a foreign tongue.

Which pair of Synonyms is the correct one.

Alternativas
Q2763197 Inglês

Read the text and answer questions 22 to 25.

Slowly does it
Feb 19th 2015, 17:34 BY R.L.G. | BERLIN


LAST week’s column looked at the long history of language declinism: for more than 600 years people have complained that youngsters cannot write proper English anymore, and even ancient Sumerian schoolmasters worried about the state of the “scribal art” in the world’s first written language. Two universal truths emerge: languages are always changing, and older people always worry that the young are not taking proper care of the language.
But what if the sticklers have a point? Of course language always changes, but could technology (or a simple increase in youthful insouciance and lack of respect for tradition) mean that in some ages it changes faster than in others? Is change accelerating? In this case, a real problem could arise. Even if language change is not harmful, the faster language changes, the less new generations will be able to understand what their forebears wrote.
The Middle English quotation in last week’s column ________ the point for some readers: it is all but impenetrable to modern understanding without special training. It is, in effect, a foreign language. Is this a problem? Perhaps it is too much to expect writing to stay fresh on the shelf for 600 years. More recent writing holds up quite well. Pupils read Shakespeare with only modernised spelling and a bit of help from teachers. And Thomas Jefferson and Jane Austen are perfectly readable.
But maybe a greater conservatism would let modern readers peer further back in their own literary history. If change had been slower, perhaps Chaucer would be only as difficult as Shakespeare is to us; “Beowulf” only as distant as Chaucer is now. What’s not to like?
The problem is that conservatism works differently on writing than it does on speech. Writing is more permanent, so people choose their words carefully and conservatively. It is slow and considered, so people can avoid new usages widely seen as mistakes. It is taught carefully by adults to children, which naturally exerts some conservative drag on the written language. And it is often edited, so (say) a young journalist with a breezy contemporary style may well be edited to a more traditional one by an older editor.
Speech is different: instead of permanent, slow, considered and taught, it is impermanent, fast, spontaneous and learned naturally by children from their surroundings. Speech will—at almost any level of linguistic conservatism—change faster than written language.
The problem with overly successful conservatism then becomes clear. Speech moves on, writing does not, and the two diverge over time. Take just one example: English spelling. As with all languages, the pronunciation of English has changed a lot over the centuries. Spelling has changed much more slowly. Thanks to the Great Vowel Shift of the middle of the last millennium, English uses vowels differently from almost all other European languages. Silent letters like the gh in night are a remnant of an earlier pronunciation (a bit like the German nicht). Other odd spellings were intended to keep etymologies clear: a b was inserted into debt to show the link with Latin debitum. Some linguistic innovations do not make it into writing at all: nearly everyone says gonna and writes going to. ________ a language pays homage to the past, _________modern schoolchildren will find learning to write a bit like learning to speak a foreign tongue.

According to the text, it is correct to say that

Alternativas
Q2763191 Inglês

Observe the cartoon below and mark the correct alternative.


Imagem associada para resolução da questão

Alternativas
Q2734656 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

The only right form to complete the sentence “Let’s go, ______?” is:

Alternativas
Q2734655 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

Consider the following:


I - “Used to” expresses the idea of customary or habitual action in the past;

II - “Be to” is used to indicate plans, obligation, necessity or arrangements;

III - “Must” expresses unavoidable obligation or necessity;

IV - “Will” and “be going to” can always be used interchangeably.

Alternativas
Q2734654 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

Researchers realize, EXCEPT:

Alternativas
Q2734653 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

The possesive adjective “his” refers to:

Alternativas
Q2734651 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

According to the text, choose the correct option:

Alternativas
Q2734649 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

The research was done in:

Alternativas
Q2734647 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

The words below belong to the same category, except:

Alternativas
Q2734643 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

The word “infer” is closest is meaning to:

Alternativas
Q2734642 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

Analyze the sentence below. The correct use of the passive voice happens in: “a group of researchers at the Vermont Complex Systems Center analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011.

Alternativas
Q2734641 Inglês

INSTRUCTIONS – Read the following text carefully and then choose the correct alternatives that answer the questions.


THE SADDEST TWEETERS LIVE IN TEXAS


Melody Kramer for National Geographic - Published May 29, 2013


Researchers analyzed ten million tweets to map happiness in the U.S.




Average word happiness for geotagged tweets in U.S. states collected in 2011. Redder states have higher averages and bluer states have lower averages.

Image courtesy Mitchell et al, PLoS ONE


The town of Beaumont is known as "Texas … with a little something extra." But the industrial town along the Gulf Coast now has a more dubious distinction: It's been named the saddest city in America—at least, if you're measuring sadness on Twitter.


That's according to a group of researchers at the Vermont Complex Systems Center, who analyzed over 80 million words from more than ten million geotagged tweets written throughout 2011. The results of their study, published Wednesday in the journal PLoS ONE, showed that the happiest tweeters in the U.S. live in Napa, California, and their sad counterparts live mostly in the Rust Belt and along the Gulf Coast border.

"You can infer a lot of information about an area based on what people are writing on Twitter," says Christopher Danforth, a mathematician and a co-author of the study.

Danforth explains how his team measured the emotional state of a tweet: They created a simple computer algorithm to analyze the words within the tweets themselves. Each word was measured on a happiness scale, which his team had previously created using paid workers from Amazon's Mechanical Turk service. The workers were asked to score more than 10,000 common English words on a happiness scale from 1 to 9. Words like "laughter," "love," "rainbow," and "smile" made the top of the list; at the very bottom—unsurprisingly—were words like "terrorist," "ugly," "cancer," "die," and "fatal."


A GEOGRAPHY OF HAPPINESS


Using that list, researchers then collected tweets from more than 300 separate cities and towns across the United States and created an algorithm to assess how frequently "happy" words occurred vs. how frequently "sad" words occurred in different places. For example, people in Napa were much more likely to tweet the word "hope" than were their counterparts living along the Gulf Coast.

"The differences in the words people used told us a lot about the cities themselves," says Lewis Mitchell, a mathematician and the study's lead author. "Essentially we were able to create a geography of happiness."

Many of the places at the very top of the list— Hawaii, Maine, and Napa—are also top vacation spots. A previous study by the same researchers indicated that people tend to use less-negative words when they're far away from home. But other places near the top of the list—like Green Bay, Wisconsin, and Spokane, Washington—aren't really tourist destinations.

The researchers say they plan to look at tourism's role in a future study. They also plan to analyze tweets in other languages. The current study looks only at tweets written in English, which could skew data in parts of the United States where many people tweet in Spanish.

In addition, the researchers plan to look at profanity more closely. Their current findings suggest that one of the major driving forces in a city's happiness—or lack thereof—is how frequently people use curse words in their tweets.

"People curse more and more as the day goes on," says Danforth, "but there are definitely places where profanity is more common. In the South, more people are cursing on Twitter. It's a tapestry of negative words."


TRENDING SADDER


He notes that many of the cities close to the bottom of their happiness list also rank low on other lists that measure factors like health outcomes and quality of life.

"The people at the bottom of our list live in states that are more socioeconomically depressed and where more natural disasters occur," he says."There are higher rates of poverty, and the median incomes are lower."

This might explain why places like Beaumont and Shreveport, Louisiana, have sadder tweets. But it doesn't explain one surprising finding: Tweets across the country are getting sadder, in general.

"If you go through all of the demographics since 2008, it's getting sadder everywhere," says Mitchell. "There's a strong downward trend. We don't know why this is."

He recently made a Twitter account— @geographyofhapp—that tracks the happiest and saddest cities on Twitter on a daily basis. But his own personal Twitter account—@dr_pyser— remains cheerfully optimistic.

"I try to be more conscious of what I'm talking about online and the way I talk about it," says Mitchell. "I try to put my best self out there."


http://news.nationalgeographic.com/news/2013/05/130529-saddest-happieststates-twitter-texas-maine-hawaii-california/y

The town of Beaumont received a new title. Now it is also known as:

Alternativas
Ano: 2015 Banca: FGV Órgão: CODEMIG Prova: FGV - 2015 - CODEMIG - Engenheiro Agrimensor |
Q2733119 Inglês

TEXT 1



http://www.freeimages.com/photo/ouro-preto-1170501


Mining tourism in Ouro Preto


Ouro Preto is surrounded by a rich and varied natural environment with waterfalls, hiking trails and native vegetation partially protected as state parks. Parts of these resources are used for tourism. Paradoxically, this ecosystem contrasts with the human occupation of the region that produced, after centuries, a rich history and a cultural connection to mining, its oldest economic activity which triggered occupation. The region has an unlimited potential for tourism, especially in specific segments such as mining heritage tourism, in association or not with the existing ecotourism market. In fact, in Ouro Preto, tourism, history, geology and mining are often hard to distinguish; such is the inter-relationship between these segments.

For centuries, a major problem of mining has been the reuse of the affected areas. Modern mining projects proposed solutions to this problem right from the initial stages of operation, which did not happen until recently. As a result, most quarries and other old mining areas that do not have an appropriate destination represent serious environmental problems. Mining tourism utilizing exhausted mines is a source of employment and income. Tourism activities may even contribute to the recovery of degraded areas in various ways, such as reforestation for leisure purposes, or their transformation into history museums where aspects of local mining are interpreted.

Minas Gerais, and particularly Ouro Preto, provides the strong and rich cultural and historical content needed for the transformation of mining remnants into attractive tourism products, especially when combined with the existing cultural tourism of the region. Although mining tourism is explored in various parts of the world in extremely different social, economic, cultural and natural contexts, in Brazil it is still not a strategy readily adopted as an alternative for areas affected by mining activities.


(Lohmann, G. M.; Flecha, A. C.; Knupp, M. E. C. G.; Liccardo, A. (2011). Mining tourism in Ouro Preto, Brazil: opportunities and challenges. In: M. V. Conlin; L. Jolliffe (eds). Mining heritage and tourism: a global synthesis. New York: Routledge, pp. 194-202.)

Mark the statements below as TRUE (T) or FALSE (F) according to Text 1.


( ) Tourism may actually be quite beneficial to some degraded mining areas.

( ) Mining tourism has recently been promptly embraced by Brazilian regions.

( ) Ouro Preto is attracting people because mining is one of its most recent activities.


The correct sequence is:

Alternativas
Q2719286 Inglês

When I bought a motorcycle from you a few weeks ago, you said that your shop could replace


anything broken.

-Oh, yes! May I help you?

- Yes, please. I want a leg, a arm, new eyes and a tooth.

Select the correct item:

Alternativas
Q2122707 Inglês
Choose the option where the question is incorrect.
Alternativas
Q2122706 Inglês
Choose the option where the second conditional sentence is correct.
Alternativas
Q2122705 Inglês
Choose the option where the first conditional sentence is incorrect.
Alternativas
Q2122704 Inglês
Choose the option where the future with ‘will’ is used correctly.
Alternativas
Respostas
20101: C
20102: E
20103: E
20104: C
20105: B
20106: C
20107: D
20108: B
20109: A
20110: A
20111: D
20112: B
20113: C
20114: D
20115: E
20116: A
20117: B
20118: A
20119: D
20120: C