Questõessobre Aspectos linguísticos | Linguistic aspects

1
1
Foram encontradas 185 questões
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UFRGS 2017 - Inglês - Aspectos linguísticos | Linguistic aspects, Interpretação de texto | Reading comprehension

Considere os segmentos retirados do texto e as respectivas propostas de reescrita.


I - If you could see them (l. 14-15) – Could you see them.

II - the water falls from them back into the seawater (l. 28-29) – the water falls from their back into the seawater.

III- we wonder if one day we will return to the seawater (l. 41-42) – we wonder whether one day we will return to the seawater.


Quais estão corretas?

      


Adaptado de: HOGAN, Linda. Sightings:

The Gray Whales’ Mysterious Journey. Washington,

D.C.: National Geographic, 2002. p. 29-30.


A
Apenas I.
B
Apenas II.
C
Apenas III.
D
Apenas I e III.
E
I, II e III.
e878b2c7-af
UFRGS 2017 - Inglês - Aspectos linguísticos | Linguistic aspects, Interpretação de texto | Reading comprehension

Considere as afirmações sobre o significado da expressão shape-shifters (l. 16), no contexto em que se encontra.


I - A capacidade das baleias de serem animais que vivem no mar, mas que necessitam emergir para respirar.


II - A transformação das baleias ao longo do processo evolutivo.


III- O conhecimento do homem sobre a evolução das baleias cinzentas permite percebê-las sob nova perspectiva.



Quais estão corretas?

      


Adaptado de: HOGAN, Linda. Sightings:

The Gray Whales’ Mysterious Journey. Washington,

D.C.: National Geographic, 2002. p. 29-30.


A
Apenas I.
B
Apenas II.
C
Apenas III.
D
Apenas I e II.
E
I, II e III.
e87d1f73-af
UFRGS 2017 - Inglês - Aspectos linguísticos | Linguistic aspects

Considere as propostas de reescrita do segmento As their hind legs have disappeared into them [...], the compass set into their brains (l. 30-33).


I - While their hind legs were disappearing into them [...], the compass set into their brains

II - Because their hind legs have disappeared into them [...], a compass set into their brains..

III- In the same way that their hind legs have disappeared into them [...], the compass set into their brains.



Quais poderiam substituir o segmento acima, sem prejuízo do sentido literal e da correção gramatical?

      


Adaptado de: HOGAN, Linda. Sightings:

The Gray Whales’ Mysterious Journey. Washington,

D.C.: National Geographic, 2002. p. 29-30.


A
Apenas I.
B
Apenas II.
C
Apenas III.
D
Apenas II e III.
E
I, II e III.
e866b137-af
UFRGS 2017 - Inglês - Aspectos linguísticos | Linguistic aspects, Vocabulário | Vocabulary

Assinale a alternativa que preenche, correta e respectivamente, as lacunas das linhas 15, 20 e 24.

      


Adaptado de: HOGAN, Linda. Sightings:

The Gray Whales’ Mysterious Journey. Washington,

D.C.: National Geographic, 2002. p. 29-30.


A
across – how – on
B
on – like – above
C
over – like – above
D
over – as – on
E
across – as – over

e85039a4-af
UFRGS 2017 - Inglês - Aspectos linguísticos | Linguistic aspects, Interpretação de texto | Reading comprehension

Assinale com V (verdadeiro) ou F (falso) as afirmações abaixo, acerca do texto.


( ) A palavra Yet (l. 21 e 26) pode ser substituída, sem alteração de sentido e de correção gramatical, por Even.

( ) As palavras did (l. 23, 25 e 30) e do (l. 29) são utilizadas para dar ênfase ao enunciado.

( ) Os exemplos das ações praticadas por Caesar corroboram as afirmações atribuídas a Brutus.

( ) A intenção de Anthony é fazer os ouvintes refletirem.


A sequência correta de preenchimento dos parênteses, de cima para baixo, é

Adaptado de: SHAKESPEARE, W. The Life and Death of

Julius Caesar. Disponível em:

<http://shakespeare.mit.edu/ julius_caesar/full.html>.

Acesso em: 12 nov. 2016.

A
F – F – V – V.
B
V – V – F – F.
C
F – V – F – V.
D
V – F – F – V.
E
F – V – V – F.
e856f18d-af
UFRGS 2017 - Inglês - Aspectos linguísticos | Linguistic aspects, Interpretação de texto | Reading comprehension

Considere as afirmações abaixo.


I - As expressões a kingly crown (l. 24) e a good leader, na frase They considered him a good leader, possuem a mesma estrutura e função gramatical.


II - As palavras thrice (l. 24 e 25) e once (l. 30) podem ser substituídas por three times e one day, respectivamente.


III- A palavra must, no segmento And I must pause till it come back to me (l. 35), pode ser substituída, sem prejuízo do sentido, pela expressão have to.



Quais estão corretas?

Adaptado de: SHAKESPEARE, W. The Life and Death of

Julius Caesar. Disponível em:

<http://shakespeare.mit.edu/ julius_caesar/full.html>.

Acesso em: 12 nov. 2016.

A
Apenas I.
B
Apenas II.
C
Apenas III.
D
Apenas I e III.
E
I, II e III.
e841e6a5-af
UFRGS 2017 - Inglês - Aspectos linguísticos | Linguistic aspects, Interpretação de texto | Reading comprehension

Assinale com V (verdadeiro) ou F (falso) as afirmações abaixo, acerca do texto.


( ) A expressão If it were (l. 07) pode ser substituída por Were it sem prejuízo de sentido e de correção gramatical.

( ) A repetição da palavra honourable ao longo da fala (l. 10, 11, 15, 22 e 27) reforça o sentido original da palavra.

( ) A palavra which no segmento Which he did thrice refuse (l. 25) pode ser substituída, sem prejuízo de sentido e de correção gramatical, pela palavra that.

( ) A palavra you (l. 32) refere-se a Caesar.


A sequência correta de preenchimento dos parênteses, de cima para baixo, é

Adaptado de: SHAKESPEARE, W. The Life and Death of

Julius Caesar. Disponível em:

<http://shakespeare.mit.edu/ julius_caesar/full.html>.

Acesso em: 12 nov. 2016.

A
V – F – F – V.
B
F – F – F – V.
C
F – V – V – V.
D
V – V – V – F.
E
V – F – F – F.
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UNEMAT 2010 - Inglês - Aspectos linguísticos | Linguistic aspects

Assinale a alternativa correta.

A
Women (ℓ.2), happens (ℓ.6), dreams (ℓ.8), children (ℓ.15) e genes (ℓ.13) são palavras flexionadas no plural
B
They (ℓ.9) refere-se às mulheres com menopausa precoce.
C
Understanding (ℓ.11), findings (ℓ.13) e growing (ℓ.14) pertencem à classe dos substantivos.
D
No texto, a expressão Scientists report (ℓ.9) no singular corresponde a Scientist reports.
E
in (ℓ.6), by (ℓ.13), for (ℓ.14), a (ℓ.1), an (ℓ.3) e the (ℓ.19) pertencem à classe das preposições.
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PUC-MINAS 2013 - Inglês - Aspectos linguísticos | Linguistic aspects, Advérbios: definição e usos | Adverbs: definition and uses, Interpretação de texto | Reading comprehension, Advérbios e conjunções | Adverbs and conjunctions

The word Therefore in: “Therefore, people enjoy the social information…” (paragraph 2) indicates

Why the Internet is so addictive
    "Checking Facebook should only take a minute." Those are the famous last words of countless people every day, right before getting sucked into several hours of watching cat videos or commenting on Instagrammed sushi lunches. That behavior is natural, given how the Internet is structured, experts say. The Internet’s omnipresence and lack of limits encourage people to lose track of time, making it hard to exercise the self-control to turn it off.
    "The Internet is not addictive in the same way as pharmacological substances are," said Tom Stafford, a cognitive scientist at the University of Sheffield in the U.K. "But it's compulsive; it's compelling; it's distracting." Humans are social creatures. Therefore, people enjoy the social information available via email and the Web.     
    The main reason the Internet is so addictive is that it lacks boundaries between tasks, Stafford said. Someone may set out to "research something, and then accidentally go to Wikipedia, and then wind up trying to find out what ever happened to Depeche Mode," Stafford said, referring to the music band. Studies suggest willpower is like a muscle: It can be strengthened, but can also become exhausted. Because the Internet is always "on," staying on task requires constantly flexing that willpower muscle, which can exhaust a person's self-control.
    For those who want to loosen the grip of the Web on their lives, a few simple techniques may do the trick. Web-blocking tools that limit surfing time can help people regain control over their time. Another method is to plan ahead, committing to work for 20 minutes, or until a certain task is complete, and then allowing five minutes of Web surfing, Stafford said.
(Adapted from: http://www.mnn.com/green-tech/computers/stories/why-the-internet-is-so-addictive) 
A
addition.
B
cause.
C
contrast.
D
conclusion.
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UNIOESTE 2017 - Inglês - Aspectos linguísticos | Linguistic aspects, Interpretação de texto | Reading comprehension

Mark the CORRECT alternative, according to the text.

Are video games the next big college sport?

New kinds of competitors are joining student athletes at colleges and universities around the country. But not everyone agrees that these video game players are taking part in a sport. Sports are an established part of college life and a source of income for some schools. The football stadium at the University of Michigan in Ann Arbor, for example, holds over 107,000 people. It is one of the largest sports stadiums in the world!

Like most traditional college sports, video game competitions involve two or more teams of students officially representing their schools. Team members wear clothing with their names and school colors. They even have coaches giving them advice on how best to win.

However, there is no running or jumping or hitting other players. In fact, these new events are different from any traditional athletic activity. They are called esports, and they take place not in the real world, but in computers or other video game systems.

Professional video game competitions have been popular around the world for years. Teams and individuals compete for prize money and awards in strategic military combat games like Starcraft and one-on-one fighting games like Street Fighter. 
Fonte: adaptado de < https://app.engoo.com/daily-news/article/are-video-games-the-next-big-collegesport/xAFD2HW1EeePT98egCHuDw
A
In the sentence, […]video game competitions involve two or more teams of students officially representing their schools, the word their is related to competitions.
B
Taking part, take place and holds over are phrasal verbs meaning being involved, happen and maintains, respectively.
C
In the sentence They even have coaches giving them advice on how best to win, the word even can be translated into Portuguese as ainda assim.
D
In the second paragraph, representing e clothing are verbs.
E
The sentence, However, there is no running or jumping or hitting other players, expresses the idea of a difference between traditional athletic activities and the video game events.
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UECE 2013 - Inglês - Aspectos linguísticos | Linguistic aspects

In the following question, some sentences from the text may have been modified to fit certain grammatical structures.


The correct form that completes the ifclause “If students had to learn to communicate their findings,” is “they __________________.”

TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
A
will have to need business know-how
B
had needed business know-how
C
can need business know-how
D
would need business know-how.
4e585fd8-af
UECE 2013 - Inglês - Análise sintática | Syntax Parsing, Aspectos linguísticos | Linguistic aspects

The sentences “In the fall, Columbia will offer new master’s and certificate programs heavy on data.” and “Data scientists are the magicians of the Big Data era.” contain, respectively, at least one

TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
A
direct object and subject complement.
B
object complement and direct object.
C
subject complement and direct object.
D
indirect object and object complement.
4e4f465a-af
UECE 2013 - Inglês - Análise sintática | Syntax Parsing, Aspectos linguísticos | Linguistic aspects, Orações condicionais | Conditional Clauses

The sentences “Many use data sets provided by businesses or government, and pass back their results.” and “Because data science is so new, universities are scrambling to define it…” contain, respectively, a

TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
A
subordinate clause and a coordinate clause.
B
subordinate clause and a subordinate clause.
C
coordinate clause and a coordinate clause.
D
coordinate clause and a subordinate clause.
f320013f-b0
PUC - SP 2017 - Inglês - Orações Relativas e pronomes relativos | Relative clauses and relative pronouns, Aspectos linguísticos | Linguistic aspects, Pronomes | Pronouns

No excerto do sexto parágrafo “whether it requires ‘merely more than de minimis’, or something greater”, a palavra it se refere a

A
Federal law.
B
family
C
education
D
Supreme Court.
2bfad186-af
PUC - RJ 2017 - Inglês - Aspectos linguísticos | Linguistic aspects

In the fragment “People were taught to take a different perspective by imagining they were taking a bird’s-eye-view of the situation…” (lines 60-62), the expression “taking a bird’s-eye-view” can be replaced, without a change in meaning, by

Available at: <http://www.bbc.com/future/story/20170124-how-to-be-wise>. Retrieved on: 24 Jan. 2017. Adapted. 

A
“taking a methodological look at something”.
B
“taking an unhurried look at something”.
C
“taking a leisurely look at something”.
D
“taking an overall look at something”.
E
“taking a quick look at something”.
91da1f9f-af
UNESP 2013 - Inglês - Aspectos linguísticos | Linguistic aspects

No trecho do primeiro quadrinho – she’s sick and tired of smelling beer –, ’s pode ser reescrito como

Instrução: Leia a tira para responder à questão.


(www.hagardunor.net)


A
is.
B
was.
C
goes.
D
does.
E
has.
1e221dc1-b9
UFRGS 2019 - Inglês - Aspectos linguísticos | Linguistic aspects, Interpretação de texto | Reading comprehension

Consider the following sentence.


It is only when some irrelevant memory makes us prejudiced that we should search our mind for the reason for the aversion.


Select the alternative with the proposition that best rephrases it.


A
Only when does some irrelevant memory make us prejudiced is it that we should search our mind for the reason for the aversion.
B
Only when does some irrelevant memory make us prejudiced should we search our mind for the reason for the aversion.
C
Only when does some irrelevant memory make us prejudiced we should search our mind for the reason for the aversion.
D
Only when some irrelevant memory makes us prejudiced we search our mind for the reason for aversion.
E
Only when some irrelevant memory makes us prejudiced should we search our mind for the reason for aversion.
75607f85-51
UNIFESP 2018 - Inglês - Aspectos linguísticos | Linguistic aspects, Preposições | Prepositions

No trecho do terceiro parágrafo “To dispel myths, nurse-recruitment campaigns”, o termo sublinhado indica

                                  Why so few nurses are men


                  

      Ask health professionals in any country what the biggest problem in their health-care system is and one of the most common answers is the shortage of nurses. In ageing rich countries, demand for nursing care is becoming increasingly insatiable. Britain’s National Health Service, for example, has 40,000-odd nurse vacancies. Poor countries struggle with the emigration of nurses for greener pastures. One obvious solution seems neglected: recruit more men. Typically, just 5-10% of nurses registered in a given country are men. Why so few?

      Views of nursing as a “woman’s job” have deep roots. Florence Nightingale, who established the principles of modern nursing in the 1860s, insisted that men’s “hard and horny” hands were “not fitted to touch, bathe and dress wounded limbs”. In Britain the Royal College of Nursing, the profession’s union, did not even admit men as members until 1960. Some nursing schools in America started admitting men only in 1982, after a Supreme Court ruling forced them to. Senior nurse titles such as “sister” (a ward manager) and “matron” (which in some countries is used for men as well) do not help matters. Unsurprisingly, some older people do not even know that men can be nurses too. Male nurses often encounter patients who assume they are doctors.

      Another problem is that beliefs about what a nursing job entails are often outdated – in ways that may be particularly off-putting for men. In films, nurses are commonly portrayed as the helpers of heroic male doctors. In fact, nurses do most of their work independently and are the first responders to patients in crisis. To dispel myths, nurse-recruitment campaigns display nursing as a professional job with career progression, specialisms like anaesthetics, cardiology or emergency care, and use for skills related to technology, innovation and leadership. However, attracting men without playing to gender stereotypes can be tricky. “Are you man enough to be a nurse?”, the slogan of an American campaign, was involved in controversy.

      Nursing is not a career many boys aspire to, or are encouraged to consider. Only two-fifths of British parents say they would be proud if their son became a nurse. Because of all this, men who go into nursing are usually already closely familiar with the job. Some are following in the career footsteps of their mothers. Others decide that the job would suit them after they see a male nurse care for a relative or they themselves get care from a male nurse when hospitalised. Although many gender stereotypes about jobs and caring have crumbled, nursing has, so far, remained unaffected.

                                              (www.economist.com, 22.08.2018. Adaptado.)

A
equivalência.
B
adição.
C
causa.
D
contraste.
E
finalidade.
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UECE 2018 - Inglês - Aspectos linguísticos | Linguistic aspects, Interpretação de texto | Reading comprehension

As to the methodology used in the research, a group of participants had to learn associations between words and pictures of objects or scenes and then

                                         T E X T


                          Can you learn in your sleep?


      Sleep is known to be crucial for learning and memory formation. What's more, scientists have even managed to pick out specific memories and consolidate them during sleep. However, the exact mechanisms behind this were unknown — until now.

      Those among us who grew up with the popular cartoon "Dexter's Laboratory" might remember the famous episode wherein Dexter's trying to learn French overnight. He creates a device that helps him to learn in his sleep by playing French phrases to him. Of course, since the show is a comedy, Dexter's record gets stuck on the phrase "Omelette du fromage" and the next day he's incapable of saying anything else. This is, of course, a problem that puts him through a series of hilarious situations.

      The idea that we can learn in our sleep has captivated the minds of artists and scientists alike; the possibility that one day we could all drastically improve our productivity by learning in our sleep is very appealing. But could such a scenario ever become a reality?

      New research seems to suggest so, and scientists in general are moving closer to understanding precisely what goes on in the brain when we sleep and how the restful state affects learning and memory formation.

      For instance, previous studies have shown that non-rapid eye movement (non-REM) sleep — or dreamless sleep — is crucial for consolidating memories. It has also been shown that sleep spindles, or sudden spikes in oscillatory brain activity that can be seen on an electroencephalogram (EEG) during the second stage of non-REM sleep, are key for this memory consolidation. Scientists were also able to specifically target certain memories and reactivate, or strengthen, them by using auditory cues.

      However, the mechanism behind such achievements remained mysterious until now. Researchers were also unaware if such mechanisms would help with memorizing new information.

      Therefore, a team of researchers set out to investigate. Scott Cairney, from the University of York in the United Kingdom, co-led the research with Bernhard Staresina, who works at the University of Birmingham, also in the U.K. Their findings were published in the journal Current Biology.

      Cairney explains the motivation for the research, saying, "We are quite certain that memories are reactivated in the brain during sleep, but we don't know the neural processes that underpin this phenomenon." "Sleep spindles," he continues, "have been linked to the benefits of sleep for memory in previous research, so we wanted to investigate whether these brain waves mediate reactivation. If they support memory reactivation, we further reasoned that it could be possible to decipher memory signals at the time that these spindles took place."

      To test their hypotheses, Cairney and his colleagues asked 46 participants "to learn associations between words and pictures of objects or scenes before a nap." Afterward, some of the participants took a 90-minute nap, whereas others stayed awake. To those who napped, "Half of the words were [...] replayed during the nap to trigger the reactivation of the newly learned picture memories," explains Cairney.

      "When the participants woke after a good period of sleep," he says, "we presented them again with the words and asked them to recall the object and scene pictures. We found that their memory was better for the pictures that were connected to the words that were presented in sleep, compared to those words that weren't," Cairney reports.

      Using an EEG machine, the researchers were also able to see that playing the associated words to reactivate memories triggered sleep spindles in the participants' brains. More specifically, the EEG sleep spindle patterns "told" the researchers whether the participants were processing memories related to objects or memories related to scenes.

      "Our data suggest that spindles facilitate processing of relevant memory features during sleep and that this process boosts memory consolidation," says Staresina. "While it has been shown previously," he continues, "that targeted memory reactivation can boost memory consolidation during sleep, we now show that sleep spindles might represent the key underlying mechanism."

      Cairney adds, "When you are awake you learn new things, but when you are asleep you refine them, making it easier to retrieve them and apply them correctly when you need them the most. This is important for how we learn but also for how we might help retain healthy brain functions."

      Staresina suggests that this newly gained knowledge could lead to effective strategies for boosting memory while sleeping.

      So, though learning things from scratch à la "Dexter's Lab" may take a while to become a reality, we can safely say that our brains continue to learn while we sleep, and that researchers just got a lot closer to understanding why this happens.

                                From: https://www.medicalnewstoday.com/articles/Mar/2018

A
while taking a nap, had half the words played again.
B
sleep while listening to a recording of all the words.
C
fall asleep thinking of the words and images.
D
take a nap and study the associations again.
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UECE 2011 - Inglês - Aspectos linguísticos | Linguistic aspects

In the text, the function of the words changing, talking, copywriting, and blogging is respectively

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A
verb, verb, noun, noun.
B
adjective, noun, noun, verb.
C
noun, verb, adjective, adjective.
D
verb, verb, noun, noun.