Questões de Vestibular Sobre inglês

Foram encontradas 6.336 questões

Q583441 Inglês
In paragraph 3, the phrase “That done…” most likely means the same as which of the following?
Alternativas
Q583440 Inglês
According to the information in the article, America's Centres for Disease Control (CDC)
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Q583438 Inglês
In the last paragraph, when the author mentions “the ability…to order from an English menu at an upscale Shanghai restaurant," she is most likely trying to
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Q583436 Inglês
In paragraph 5, “it” in the sentence “A few saw it differently” most likely refers to which of the following?
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Q583435 Inglês
With respect to the current reaction against the English language in China, the article mentions all of the following as possible reasons except
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Q583433 Inglês
With respect to Margaret, which of the following is most supported by the information in the article?
Alternativas
Q583432 Inglês
According to the information in the article, Ken
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Q583431 Inglês
With respect to the author's two new English students, the information in the article most supports which of the following?
Alternativas
Ano: 2015 Banca: FUVEST Órgão: USP Prova: FUVEST - 2015 - USP - Vestibular - Primeira Fase |
Q583225 Inglês

Working for on demand startups like Uber and TaskRabbit is supposed to offer flexible hours and higher wages, but many workers have found the pay lower and the hours less flexible than they expected. Even more surprising: 8 percent of those chauffeuring passengers and 16 percent of those making deliveries said they lack personal autoinsurance.

Those are among the findings from a survey about the work life of independent contractors for on-demand startups, a booming sector of the tech industry, being released Wednesday.

"We want to shed light on the industry as a whole," said Isaac Madan, a Stanford master's candidate in bioinformatics who worked with two other Stanford students and a recent alumnus on the survey of 1,330 workers. "People need to understand how this space will change and evolve and help the economy."

On-demand, often called the sharing economy, refers to companies that let users summon workers via smartphone apps to handle all manner of services: rides, cleaning, chores, deliveries, car parking, waiting in lines. Almost uniformly, those workers are independent contractors rather than salaried employees.

That status is the main point of contention in a recent rash of lawsuits in which workers are filing for employee status. While the survey did not directly ask

contractors if they would prefer to be employees, it found that their top workplace desires were to have paid health insurance, retirement benefits and paid time off for holidays, vacation and sick days - all perks of full time workers. Respondents also expressed interest in having more chances for advancement, education sponsorship, disability insurance and human relations support. Because respondents were recruited rather than randomly selected, the survey does not claim to be representational but a conclusion one may come to is that flexibility ofnew jobs comes with a cost. Not all workers are prepared for that!


SFChronicle.com and SFGate.com, May 20, 2015. Adaptado

Outro resultado da mesma pesquisa indica que
Alternativas
Ano: 2015 Banca: FUVEST Órgão: USP Prova: FUVEST - 2015 - USP - Vestibular - Primeira Fase |
Q583224 Inglês

Working for on demand startups like Uber and TaskRabbit is supposed to offer flexible hours and higher wages, but many workers have found the pay lower and the hours less flexible than they expected. Even more surprising: 8 percent of those chauffeuring passengers and 16 percent of those making deliveries said they lack personal autoinsurance.

Those are among the findings from a survey about the work life of independent contractors for on-demand startups, a booming sector of the tech industry, being released Wednesday.

"We want to shed light on the industry as a whole," said Isaac Madan, a Stanford master's candidate in bioinformatics who worked with two other Stanford students and a recent alumnus on the survey of 1,330 workers. "People need to understand how this space will change and evolve and help the economy."

On-demand, often called the sharing economy, refers to companies that let users summon workers via smartphone apps to handle all manner of services: rides, cleaning, chores, deliveries, car parking, waiting in lines. Almost uniformly, those workers are independent contractors rather than salaried employees.

That status is the main point of contention in a recent rash of lawsuits in which workers are filing for employee status. While the survey did not directly ask

contractors if they would prefer to be employees, it found that their top workplace desires were to have paid health insurance, retirement benefits and paid time off for holidays, vacation and sick days - all perks of full time workers. Respondents also expressed interest in having more chances for advancement, education sponsorship, disability insurance and human relations support. Because respondents were recruited rather than randomly selected, the survey does not claim to be representational but a conclusion one may come to is that flexibility ofnew jobs comes with a cost. Not all workers are prepared for that!


SFChronicle.com and SFGate.com, May 20, 2015. Adaptado

Um dos resultados da pesquisa realizada com prestadores de serviços de empresas do tipo "on-demand" mostra que esses trabalhadores
Alternativas
Ano: 2015 Banca: FUVEST Órgão: USP Prova: FUVEST - 2015 - USP - Vestibular - Primeira Fase |
Q583223 Inglês

Working for on demand startups like Uber and TaskRabbit is supposed to offer flexible hours and higher wages, but many workers have found the pay lower and the hours less flexible than they expected. Even more surprising: 8 percent of those chauffeuring passengers and 16 percent of those making deliveries said they lack personal autoinsurance.

Those are among the findings from a survey about the work life of independent contractors for on-demand startups, a booming sector of the tech industry, being released Wednesday.

"We want to shed light on the industry as a whole," said Isaac Madan, a Stanford master's candidate in bioinformatics who worked with two other Stanford students and a recent alumnus on the survey of 1,330 workers. "People need to understand how this space will change and evolve and help the economy."

On-demand, often called the sharing economy, refers to companies that let users summon workers via smartphone apps to handle all manner of services: rides, cleaning, chores, deliveries, car parking, waiting in lines. Almost uniformly, those workers are independent contractors rather than salaried employees.

That status is the main point of contention in a recent rash of lawsuits in which workers are filing for employee status. While the survey did not directly ask

contractors if they would prefer to be employees, it found that their top workplace desires were to have paid health insurance, retirement benefits and paid time off for holidays, vacation and sick days - all perks of full time workers. Respondents also expressed interest in having more chances for advancement, education sponsorship, disability insurance and human relations support. Because respondents were recruited rather than randomly selected, the survey does not claim to be representational but a conclusion one may come to is that flexibility ofnew jobs comes with a cost. Not all workers are prepared for that!


SFChronicle.com and SFGate.com, May 20, 2015. Adaptado

Segundo o texto, empresas do tipo "on-demand"
Alternativas
Ano: 2015 Banca: FUVEST Órgão: USP Prova: FUVEST - 2015 - USP - Vestibular - Primeira Fase |
Q583222 Inglês
About half of the world's population is at risk of contracting dengue, according to the World Health Organization. The mosquito is found in tropical and subtropical climates around the world; however, dengue does not naturally occur in these creatures: the mosquitoes get dengue from us.
The mechanism of dengue infection is simple. Female mosquitoes bite humans because they need the protein found in our blood to produce eggs. (Male mosquitoes do not bite.) Ifthe mosquito bites someone with dengue - and then, after the virus's roughly eight- to 12-day replication period, bites someone else - it passes dengue into its next victim's bloodstream.
There is no vaccine against dengue, but infecting mosquitoes with a natural bacterium called Wolbachia blocks the insects' ability to pass the disease to humans. The microbe spreads among both male and female mosquitoes: infected females lay eggs that harbor the bacterium, and when Wolbachia-free females mate with infected males, their eggs simply do not hatch. Researchers are now releasing Wolbachia infected females into the wild in Australia, Vietnam, Indonesia and Brazil.

Scientific American, June 2015, Adaptado.
Segundo o texto, a bactéria Wolbachia, se inoculada nos mosquitos, bloqueia a transmissão da dengue porque
Alternativas
Ano: 2015 Banca: FUVEST Órgão: USP Prova: FUVEST - 2015 - USP - Vestibular - Primeira Fase |
Q583221 Inglês
About half of the world's population is at risk of contracting dengue, according to the World Health Organization. The mosquito is found in tropical and subtropical climates around the world; however, dengue does not naturally occur in these creatures: the mosquitoes get dengue from us.
The mechanism of dengue infection is simple. Female mosquitoes bite humans because they need the protein found in our blood to produce eggs. (Male mosquitoes do not bite.) Ifthe mosquito bites someone with dengue - and then, after the virus's roughly eight- to 12-day replication period, bites someone else - it passes dengue into its next victim's bloodstream.
There is no vaccine against dengue, but infecting mosquitoes with a natural bacterium called Wolbachia blocks the insects' ability to pass the disease to humans. The microbe spreads among both male and female mosquitoes: infected females lay eggs that harbor the bacterium, and when Wolbachia-free females mate with infected males, their eggs simply do not hatch. Researchers are now releasing Wolbachia infected females into the wild in Australia, Vietnam, Indonesia and Brazil.

Scientific American, June 2015, Adaptado.
De acordo com o texto, a infecção por dengue
Alternativas
Ano: 2015 Banca: CECIERJ Órgão: CEDERJ Prova: CECIERJ - 2015 - CEDERJ - Vestibular |
Q582505 Inglês
What Your Tweets Say About You
By Maria Konnikov

 

How much can your tweets reveal about you? A lot! - would be the answer of psychologists James Pennebaker e Cindy Chung, at the University of Texas, who study how language relates to well-being and personality. One of Pennebaker’s most famous projects is a computer program called Linguistic Inquiry and Word Count (L.I.W.C.), which looks at the words we use, and in what frequency and context, and uses this information to study our psychological states and various aspects of our personality.
Since the creation of the L.I.W.C., in 1993, studies utilizing the program have suggested a close connection between our language, our state of mind, and our behavior. They have shown, for instance, that a person’s word choices can reveal her place in a social or professional hierarchy; and that the use of different filler words (“I mean”; “You know”) can suggest whether a speaker is male or female, younger or older, and more or less conscientious. “The words we use in natural language reflect our thoughts and feelings in often unpredictable ways,” Pennebaker and Cindy Chung have written.
The psychologist Johannes Eichstaedt and his colleagues analyzed eight hundred and twenty-six million tweets across fourteen hundred American counties(1)Then, using lists of words that can be reliably associated with positive and negative emotions, they gave each county an emotional profile. Finally, they asked a simple question: Could those profiles help determine which counties were likely to have more deaths from heart disease?
The answer was yes. Counties where residents’ tweets included words related to hostility, aggression, hate, and, fatigue — words such as “jealous,” and “bored”— had significantly higher rates of heart-related deaths. On the other hand, where people’s tweets reflected more positive emotions and engagement, heart disease was less common. The tweet-based model even had more predictive power than other models based on traditional demographic, socioeconomic, and health-risk factors.

(1) Um condado (county/counties) ou província é um aglomerado de cidades, não tão grande quanto um estado.

From: http://www.newyorker.com/science/maria-konnikova/can-tweets-predict-heart-disease

GLOSSARY: conscientious: consciencioso/cuidadoso; reliably: seguramente; profile: perfil; heart disease: doença do coração; hate: ódio; jealous: com ciúmes; boredentediado; higher rates: taxas mais altas; engagementcomprometimento; predictive: previsível.

Leia o texto e responda à questão.
O conector “on the other hand", na quinta linha do último parágrafo, estabelece uma relação de:
Alternativas
Ano: 2015 Banca: CECIERJ Órgão: CEDERJ Prova: CECIERJ - 2015 - CEDERJ - Vestibular |
Q582504 Inglês
What Your Tweets Say About You
By Maria Konnikov

 

How much can your tweets reveal about you? A lot! - would be the answer of psychologists James Pennebaker e Cindy Chung, at the University of Texas, who study how language relates to well-being and personality. One of Pennebaker’s most famous projects is a computer program called Linguistic Inquiry and Word Count (L.I.W.C.), which looks at the words we use, and in what frequency and context, and uses this information to study our psychological states and various aspects of our personality.
Since the creation of the L.I.W.C., in 1993, studies utilizing the program have suggested a close connection between our language, our state of mind, and our behavior. They have shown, for instance, that a person’s word choices can reveal her place in a social or professional hierarchy; and that the use of different filler words (“I mean”; “You know”) can suggest whether a speaker is male or female, younger or older, and more or less conscientious. “The words we use in natural language reflect our thoughts and feelings in often unpredictable ways,” Pennebaker and Cindy Chung have written.
The psychologist Johannes Eichstaedt and his colleagues analyzed eight hundred and twenty-six million tweets across fourteen hundred American counties(1)Then, using lists of words that can be reliably associated with positive and negative emotions, they gave each county an emotional profile. Finally, they asked a simple question: Could those profiles help determine which counties were likely to have more deaths from heart disease?
The answer was yes. Counties where residents’ tweets included words related to hostility, aggression, hate, and, fatigue — words such as “jealous,” and “bored”— had significantly higher rates of heart-related deaths. On the other hand, where people’s tweets reflected more positive emotions and engagement, heart disease was less common. The tweet-based model even had more predictive power than other models based on traditional demographic, socioeconomic, and health-risk factors.

(1) Um condado (county/counties) ou província é um aglomerado de cidades, não tão grande quanto um estado.

From: http://www.newyorker.com/science/maria-konnikova/can-tweets-predict-heart-disease

GLOSSARY: conscientious: consciencioso/cuidadoso; reliably: seguramente; profile: perfil; heart disease: doença do coração; hate: ódio; jealous: com ciúmes; boredentediado; higher rates: taxas mais altas; engagementcomprometimento; predictive: previsível.

Leia o texto e responda à questão.
No terceiro parágrafo, o pronome “they" se refere:
Alternativas
Ano: 2015 Banca: CECIERJ Órgão: CEDERJ Prova: CECIERJ - 2015 - CEDERJ - Vestibular |
Q582503 Inglês
What Your Tweets Say About You
By Maria Konnikov

 

How much can your tweets reveal about you? A lot! - would be the answer of psychologists James Pennebaker e Cindy Chung, at the University of Texas, who study how language relates to well-being and personality. One of Pennebaker’s most famous projects is a computer program called Linguistic Inquiry and Word Count (L.I.W.C.), which looks at the words we use, and in what frequency and context, and uses this information to study our psychological states and various aspects of our personality.
Since the creation of the L.I.W.C., in 1993, studies utilizing the program have suggested a close connection between our language, our state of mind, and our behavior. They have shown, for instance, that a person’s word choices can reveal her place in a social or professional hierarchy; and that the use of different filler words (“I mean”; “You know”) can suggest whether a speaker is male or female, younger or older, and more or less conscientious. “The words we use in natural language reflect our thoughts and feelings in often unpredictable ways,” Pennebaker and Cindy Chung have written.
The psychologist Johannes Eichstaedt and his colleagues analyzed eight hundred and twenty-six million tweets across fourteen hundred American counties(1). Then, using lists of words that can be reliably associated with positive and negative emotions, they gave each county an emotional profile. Finally, they asked a simple question: Could those profiles help determine which counties were likely to have more deaths from heart disease?
The answer was yes. Counties where residents’ tweets included words related to hostility, aggression, hate, and, fatigue — words such as “jealous,” and “bored”— had significantly higher rates of heart-related deaths. On the other hand, where people’s tweets reflected more positive emotions and engagement, heart disease was less common. The tweet-based model even had more predictive power than other models based on traditional demographic, socioeconomic, and health-risk factors.
(1) Um condado (county/counties) ou província é um aglomerado de cidades, não tão grande quanto um estado.

From: http://www.newyorker.com/science/maria-konnikova/can-tweets-predict-heart-disease

GLOSSARY: conscientious: consciencioso/cuidadoso; reliably: seguramente; profile: perfil; heart disease: doença do coração; hate: ódio; jealous: com ciúmes; boredentediado; higher rates: taxas mais altas; engagementcomprometimento; predictive: previsível.

Read the text and answer question.
What is the relationship between the words used in tweets and the health condition of a county's residents?
Alternativas
Ano: 2015 Banca: CECIERJ Órgão: CEDERJ Prova: CECIERJ - 2015 - CEDERJ - Vestibular |
Q582502 Inglês
What Your Tweets Say About You
By Maria Konnikov

 

How much can your tweets reveal about you? A lot! - would be the answer of psychologists James Pennebaker e Cindy Chung, at the University of Texas, who study how language relates to well-being and personality. One of Pennebaker’s most famous projects is a computer program called Linguistic Inquiry and Word Count (L.I.W.C.), which looks at the words we use, and in what frequency and context, and uses this information to study our psychological states and various aspects of our personality.
Since the creation of the L.I.W.C., in 1993, studies utilizing the program have suggested a close connection between our language, our state of mind, and our behavior. They have shown, for instance, that a person’s word choices can reveal her place in a social or professional hierarchy; and that the use of different filler words (“I mean”; “You know”) can suggest whether a speaker is male or female, younger or older, and more or less conscientious. “The words we use in natural language reflect our thoughts and feelings in often unpredictable ways,” Pennebaker and Cindy Chung have written.
The psychologist Johannes Eichstaedt and his colleagues analyzed eight hundred and twenty-six million tweets across fourteen hundred American counties(1). Then, using lists of words that can be reliably associated with positive and negative emotions, they gave each county an emotional profile. Finally, they asked a simple question: Could those profiles help determine which counties were likely to have more deaths from heart disease?
The answer was yes. Counties where residents’ tweets included words related to hostility, aggression, hate, and, fatigue — words such as “jealous,” and “bored”— had significantly higher rates of heart-related deaths. On the other hand, where people’s tweets reflected more positive emotions and engagement, heart disease was less common. The tweet-based model even had more predictive power than other models based on traditional demographic, socioeconomic, and health-risk factors.
(1) Um condado (county/counties) ou província é um aglomerado de cidades, não tão grande quanto um estado.

From: http://www.newyorker.com/science/maria-konnikova/can-tweets-predict-heart-disease

GLOSSARY: conscientious: consciencioso/cuidadoso; reliably: seguramente; profile: perfil; heart disease: doença do coração; hate: ódio; jealous: com ciúmes; boredentediado; higher rates: taxas mais altas; engagementcomprometimento; predictive: previsível.

Read the text and answer question.
According to the text, studies using the L.I.W.C. program have suggested a “close connection between our language, our state of mind, and our behavior." What statement bellow corroborates this conclusion?
Alternativas
Ano: 2015 Banca: CECIERJ Órgão: CEDERJ Prova: CECIERJ - 2015 - CEDERJ - Vestibular |
Q582501 Inglês
What Your Tweets Say About You
By Maria Konnikov

 

How much can your tweets reveal about you? A lot! - would be the answer of psychologists James Pennebaker e Cindy Chung, at the University of Texas, who study how language relates to well-being and personality. One of Pennebaker’s most famous projects is a computer program called Linguistic Inquiry and Word Count (L.I.W.C.), which looks at the words we use, and in what frequency and context, and uses this information to study our psychological states and various aspects of our personality.
Since the creation of the L.I.W.C., in 1993, studies utilizing the program have suggested a close connection between our language, our state of mind, and our behavior. They have shown, for instance, that a person’s word choices can reveal her place in a social or professional hierarchy; and that the use of different filler words (“I mean”; “You know”) can suggest whether a speaker is male or female, younger or older, and more or less conscientious. “The words we use in natural language reflect our thoughts and feelings in often unpredictable ways,” Pennebaker and Cindy Chung have written.
The psychologist Johannes Eichstaedt and his colleagues analyzed eight hundred and twenty-six million tweets across fourteen hundred American counties(1). Then, using lists of words that can be reliably associated with positive and negative emotions, they gave each county an emotional profile. Finally, they asked a simple question: Could those profiles help determine which counties were likely to have more deaths from heart disease?
The answer was yes. Counties where residents’ tweets included words related to hostility, aggression, hate, and, fatigue — words such as “jealous,” and “bored”— had significantly higher rates of heart-related deaths. On the other hand, where people’s tweets reflected more positive emotions and engagement, heart disease was less common. The tweet-based model even had more predictive power than other models based on traditional demographic, socioeconomic, and health-risk factors.
(1) Um condado (county/counties) ou província é um aglomerado de cidades, não tão grande quanto um estado.

From: http://www.newyorker.com/science/maria-konnikova/can-tweets-predict-heart-disease

GLOSSARY: conscientious: consciencioso/cuidadoso; reliably: seguramente; profile: perfil; heart disease: doença do coração; hate: ódio; jealous: com ciúmes; boredentediado; higher rates: taxas mais altas; engagementcomprometimento; predictive: previsível.

Read the text and answer question.
Why would psychologists James Pennebaker e Cindy Chung be qualified to answer the opening question of the first paragraph (“How much can your tweets reveal about you?")?
Alternativas
Ano: 2015 Banca: PUC - Campinas Órgão: PUC - Campinas Prova: PUC - Campinas - 2015 - PUC - Campinas - Vestibular |
Q548459 Inglês

Machiavellianism" is a ...... used negative term to characterize unscrupulous politicians of the sort Machiavelli described in The Prince. The book itself gained enormous notoriety and wide readership because most readers assumed the author was teaching and endorsing evil and immoral behavior. Because of this, the term "Machiavellian" is often associated with deceit, deviousness, ambition, and brutality. However that was Machiavelli's stylistic device to gain the reader's attention for his close analysis of the actual techniques used by rulers.

(Adapted from: http://en.wikipedia.org/wiki/Niccol%C3% B2_Machiavelli)

Machiavelli’s actual purpose in writing The Prince was to

Alternativas
Ano: 2015 Banca: PUC - Campinas Órgão: PUC - Campinas Prova: PUC - Campinas - 2015 - PUC - Campinas - Vestibular |
Q548458 Inglês

Machiavellianism" is a ...... used negative term to characterize unscrupulous politicians of the sort Machiavelli described in The Prince. The book itself gained enormous notoriety and wide readership because most readers assumed the author was teaching and endorsing evil and immoral behavior. Because of this, the term "Machiavellian" is often associated with deceit, deviousness, ambition, and brutality. However that was Machiavelli's stylistic device to gain the reader's attention for his close analysis of the actual techniques used by rulers.

(Adapted from: http://en.wikipedia.org/wiki/Niccol%C3% B2_Machiavelli)

The word that correctly fills in the blank is

Alternativas
Respostas
3481: B
3482: D
3483: A
3484: C
3485: E
3486: B
3487: B
3488: A
3489: B
3490: E
3491: B
3492: D
3493: A
3494: A
3495: C
3496: B
3497: A
3498: D
3499: A
3500: B