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Q2735466 Inglês
Which alternative contains a correct correspondence of meaning?
Alternativas
Q2735465 Inglês
The item “themselves” (line 27) refers to
Alternativas
Q2735464 Inglês
In the sentence “‘It is likely that the future consumer will not even know that they are putting biofuels into their car,’” (lines 16-17), “It is likely that” could be substituted by
Alternativas
Q2735463 Inglês
According to the text, it is NOT correct to affirm that green gasoline
Alternativas
Q2735462 Inglês
The main purpose of this text is to
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 |
Q2733131 Inglês

TEXT 3


Sustainable mining – oxymoron or a way of the future?


Mining is an activity that has persisted since the start of humans using tools. However, one might argue that digging a big hole in the ground and selling the finite resources that come out of that hole is not sustainable, especially when the digging involves the use of other finite resources (i.e. fuels) and produces a lot of greenhouse gases.

The counter argument could go along the lines that minerals are not being lost or destroyed through mining and mineral processing – the elements are being shifted around, and converted into new forms. Metals can even be extracted from waste, seawater or even sewage, and recycled. But a more simple argument is possible: a mine can be sustainable if it is economically, socially and environmentally beneficial in the short and long term. To be sustainable, the positive benefits of mining should outweigh any negative impacts. […]

Social positives are often associated with mines in regional areas, such as providing better amenities in a nearby town, or providing employment (an economic and social positive). Social negatives can also occur, such as dust, noise, traffic and visual amenity. These are commonly debated and, whilst sometimes controversial, can be managed with sufficient corporate commitment, stakeholder engagement, and enough time to work through the issues. Time is the key parameter - it may take several years for a respectful process of community input, but as long as it is possible for social negatives to be outweighed by social positives, then the project will be socially sustainable.

It is most likely that a mine development will have some environmental negatives, such as direct impacts on flora and fauna through clearing of vegetation and habitat within the mine footprint. Some mines will have impacts which extend beyond the mine site, such as disruption to groundwater, production of silt and disposal of waste. Certainly these impacts will need to be managed throughout the mine life, along with robust rehabilitation and closure planning. […]

The real turning point will come when mining companies go beyond environmental compliance to create ‘heritage projects’ that can enhance the environmental or social benefits in a substantial way – by more than the environmental offsets needed just to make up for the negatives created by the mine. In order to foster these innovative mining heritage projects we need to promote ‘sustainability assessments’ - not just ‘environmental assessments’. This will lead to a more mature appreciation of the whole system whereby the economic and social factors, as well as environmental factors, are considered in a holistic manner.


(adapted from https://www.engineersaustralia.org.au/western-australia-division/sustainable-mining-oxymoron-or-way-future. Retrieved on August 10, 2015)

The title suggests that the expression “sustainable mining” may:

Alternativas
Ano: 2015 Banca: FGV Órgão: CODEMIG Prova: FGV - 2015 - CODEMIG - Engenheiro Agrimensor |
Q2733129 Inglês

TEXT 2


Innovation is the new key to survival

[…]

At its most basic, innovation presents an optimal strategy for controlling costs. Companies that have invested in such technologies as remote mining, autonomous equipment and driverless trucks and trains have reduced expenses by orders of magnitude, while simultaneously driving up productivity.

Yet, gazing towards the horizon, it is rapidly becoming clear that innovation can do much more than reduce capital intensity. Approached strategically, it also has the power to reduce people and energy intensity, while increasing mining intensity.


Capturing the learnings


The key is to think of innovation as much more than research and development (R&D) around particular processes or technologies. Companies can, in fact, innovate in multiple ways, such as leveraging supplier knowledge around specific operational challenges, redefining their participation in the energy value chain or finding new ways to engage and partner with major stakeholders and constituencies.

To reap these rewards, however, mining companies must overcome their traditionally conservative tendencies. In many cases, miners struggle to adopt technologies proven to work at other mining companies, let alone those from other industries. As a result, innovation becomes less of a technology problem and more of an adoption problem.

By breaking this mindset, mining companies can free themselves to adapt practical applications that already exist in other industries and apply them to fit their current needs. For instance, the tunnel boring machines used by civil engineers to excavate the Chunnel can vastly reduce miners’ reliance on explosives. Until recently, those machines were too large to apply in a mining setting. Some innovators, however, are now incorporating the underlying technology to build smaller machines—effectively adapting mature solutions from other industries to realize more rapid results.


Re-imagining the future


At the same time, innovation mandates companies to think in entirely new ways. Traditionally, for instance, miners have focused on extracting higher grades and achieving faster throughput by optimizing the pit, schedule, product mix and logistics. A truly innovative mindset, however, will see them adopt an entirely new design paradigm that leverages new information, mining and energy technologies to maximize value. […]

Approached in this way, innovation can drive more than cost reduction. It can help mining companies mitigate and manage risks, strengthen business models and foster more effective community and government relations. It can help mining services companies enhance their value to the industry by developing new products and services. Longer-term, it can even position organizations to move the needle on such endemic issues as corporate social responsibility, environmental performance and sustainability.


(http://www2.deloitte.com/content/dam/Deloitte/ru/Documents/energy-resources/ru_er_tracking_the_trends_2015_eng.pdf)

“For instance” in “Traditionally, for instance, miners have focused on extracting” (l. 34-35) is used to:

Alternativas
Ano: 2015 Banca: FGV Órgão: CODEMIG Prova: FGV - 2015 - CODEMIG - Engenheiro Agrimensor |
Q2733128 Inglês

TEXT 2


Innovation is the new key to survival

[…]

At its most basic, innovation presents an optimal strategy for controlling costs. Companies that have invested in such technologies as remote mining, autonomous equipment and driverless trucks and trains have reduced expenses by orders of magnitude, while simultaneously driving up productivity.

Yet, gazing towards the horizon, it is rapidly becoming clear that innovation can do much more than reduce capital intensity. Approached strategically, it also has the power to reduce people and energy intensity, while increasing mining intensity.


Capturing the learnings


The key is to think of innovation as much more than research and development (R&D) around particular processes or technologies. Companies can, in fact, innovate in multiple ways, such as leveraging supplier knowledge around specific operational challenges, redefining their participation in the energy value chain or finding new ways to engage and partner with major stakeholders and constituencies.

To reap these rewards, however, mining companies must overcome their traditionally conservative tendencies. In many cases, miners struggle to adopt technologies proven to work at other mining companies, let alone those from other industries. As a result, innovation becomes less of a technology problem and more of an adoption problem.

By breaking this mindset, mining companies can free themselves to adapt practical applications that already exist in other industries and apply them to fit their current needs. For instance, the tunnel boring machines used by civil engineers to excavate the Chunnel can vastly reduce miners’ reliance on explosives. Until recently, those machines were too large to apply in a mining setting. Some innovators, however, are now incorporating the underlying technology to build smaller machines—effectively adapting mature solutions from other industries to realize more rapid results.


Re-imagining the future


At the same time, innovation mandates companies to think in entirely new ways. Traditionally, for instance, miners have focused on extracting higher grades and achieving faster throughput by optimizing the pit, schedule, product mix and logistics. A truly innovative mindset, however, will see them adopt an entirely new design paradigm that leverages new information, mining and energy technologies to maximize value. […]

Approached in this way, innovation can drive more than cost reduction. It can help mining companies mitigate and manage risks, strengthen business models and foster more effective community and government relations. It can help mining services companies enhance their value to the industry by developing new products and services. Longer-term, it can even position organizations to move the needle on such endemic issues as corporate social responsibility, environmental performance and sustainability.


(http://www2.deloitte.com/content/dam/Deloitte/ru/Documents/energy-resources/ru_er_tracking_the_trends_2015_eng.pdf)

The word “them” in “apply them to fit” (l. 25) refers to:

Alternativas
Ano: 2015 Banca: FGV Órgão: CODEMIG Prova: FGV - 2015 - CODEMIG - Engenheiro Agrimensor |
Q2733126 Inglês

TEXT 2


Innovation is the new key to survival

[…]

At its most basic, innovation presents an optimal strategy for controlling costs. Companies that have invested in such technologies as remote mining, autonomous equipment and driverless trucks and trains have reduced expenses by orders of magnitude, while simultaneously driving up productivity.

Yet, gazing towards the horizon, it is rapidly becoming clear that innovation can do much more than reduce capital intensity. Approached strategically, it also has the power to reduce people and energy intensity, while increasing mining intensity.


Capturing the learnings


The key is to think of innovation as much more than research and development (R&D) around particular processes or technologies. Companies can, in fact, innovate in multiple ways, such as leveraging supplier knowledge around specific operational challenges, redefining their participation in the energy value chain or finding new ways to engage and partner with major stakeholders and constituencies.

To reap these rewards, however, mining companies must overcome their traditionally conservative tendencies. In many cases, miners struggle to adopt technologies proven to work at other mining companies, let alone those from other industries. As a result, innovation becomes less of a technology problem and more of an adoption problem.

By breaking this mindset, mining companies can free themselves to adapt practical applications that already exist in other industries and apply them to fit their current needs. For instance, the tunnel boring machines used by civil engineers to excavate the Chunnel can vastly reduce miners’ reliance on explosives. Until recently, those machines were too large to apply in a mining setting. Some innovators, however, are now incorporating the underlying technology to build smaller machines—effectively adapting mature solutions from other industries to realize more rapid results.


Re-imagining the future


At the same time, innovation mandates companies to think in entirely new ways. Traditionally, for instance, miners have focused on extracting higher grades and achieving faster throughput by optimizing the pit, schedule, product mix and logistics. A truly innovative mindset, however, will see them adopt an entirely new design paradigm that leverages new information, mining and energy technologies to maximize value. […]

Approached in this way, innovation can drive more than cost reduction. It can help mining companies mitigate and manage risks, strengthen business models and foster more effective community and government relations. It can help mining services companies enhance their value to the industry by developing new products and services. Longer-term, it can even position organizations to move the needle on such endemic issues as corporate social responsibility, environmental performance and sustainability.


(http://www2.deloitte.com/content/dam/Deloitte/ru/Documents/energy-resources/ru_er_tracking_the_trends_2015_eng.pdf)

The fragment “To reap these rewards” (l. 17) means to:

Alternativas
Ano: 2015 Banca: FGV Órgão: CODEMIG Prova: FGV - 2015 - CODEMIG - Engenheiro Agrimensor |
Q2733124 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.)

The phrase “As a result” (l. 16) can be replaced by:

Alternativas
Respostas
1721: A
1722: B
1723: C
1724: C
1725: E
1726: B
1727: C
1728: D
1729: B
1730: A
1731: A
1732: D
1733: B
1734: C
1735: D
1736: B
1737: C
1738: D
1739: C
1740: B