Questões de Concurso Sobre interpretação de texto | reading comprehension em inglês

Foram encontradas 9.443 questões

Q1831658 Inglês
How Africa will be affected by climate change
    The African continent will be hardest hit by climate change. There are four key reasons for this. First, African society is very closely coupled with the climate system; hundreds of millions of people depend on rainfall to grow their food. Second, the African climate system is controlled by an extremely complex mix of large-scale weather systems, many from distant parts of the planet and, in comparison with almost all other inhabited regions, is vastly understudied. It is therefore capable of all sorts of surprises. Third, the degree of expected climate change is large. The two most extensive land-based end-of-century projected decreases in rainfall anywhere on the planet occur over Africa; one over North Africa and the other over southern Africa. Finally, the capacity for adaptation to climate change is low; poverty equates to reduced choice at the individual level while governance generally fails to prioritise and act on climate change.
https://www.bbc.com/... - adapted. 
According to the text, choose the CORRECT alternative:
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Q1831284 Inglês
Researchers can turn a single photo into a video
   Sometimes photos cannot truly capture a scene. How much more epic would that vacation photo of Niagara Falls be if the water were moving? Researchers at the University of Washington have developed a deep learning method that can do just that: if given a single photo of a waterfall, the system creates a video showing that water cascading down. All that’s missing is the roar of the water and the feeling of the spray on your face.
   This method can animate any flowing material, including smoke and clouds. This technique produces a short video that loops seamlessly, giving the impression of endless movement.
   An expert says that a picture captures a moment frozen in time, but a lot of information is lost in a static image. That makes people wonder what led to that moment, and how things are changing. If people think about the last time that they found themselves fixated on something really interesting, chances are, it was’t totally static. 
   What is special about that method is that it doesn’t require any user input or extra information. All that is needed is a picture. And it produces as output a high-resolution, seamlessly looping video that quite often looks like a real video. Developing a method that turns a single photo into a believable video has been a challenge for the field.
   The system consists of two parts: first, it predicts how things were moving when the photo was taken, and then uses that information to create the animation. Then the system uses that information to determine if and how each pixel should move. Finally, the researchers want their animation to loop seamlessly to create a look of continuous movement. The animation network follows a few tricks to keep things clean, including transitioning different parts of the frame at different times and deciding how quickly or slowly to blend each pixel depending on its surroundings. 
   This method works best for objects with predictable fluid motion, like water, fire or smoke. These types of motions obey the same set of physical laws, and there are usually cues in the image that tell us how things should be moving. Currently, the technology struggles to predict how reflections should move or how water distorts the appearance of objects beneath it. In the future, the researchers would like to extend their work to operate on a wider range of objects, like animating a person’s hair blowing in the wind. 
Internet: <www.sciencedaily.com> (adapted).

Based on the text above, judge the item below.  

It can be inferred from the text that, in the future, the researchers would like this method to animate a photo of a woman on a motorbike without wearing a helmet, for example. 

Alternativas
Q1831283 Inglês
Researchers can turn a single photo into a video
   Sometimes photos cannot truly capture a scene. How much more epic would that vacation photo of Niagara Falls be if the water were moving? Researchers at the University of Washington have developed a deep learning method that can do just that: if given a single photo of a waterfall, the system creates a video showing that water cascading down. All that’s missing is the roar of the water and the feeling of the spray on your face.
   This method can animate any flowing material, including smoke and clouds. This technique produces a short video that loops seamlessly, giving the impression of endless movement.
   An expert says that a picture captures a moment frozen in time, but a lot of information is lost in a static image. That makes people wonder what led to that moment, and how things are changing. If people think about the last time that they found themselves fixated on something really interesting, chances are, it was’t totally static. 
   What is special about that method is that it doesn’t require any user input or extra information. All that is needed is a picture. And it produces as output a high-resolution, seamlessly looping video that quite often looks like a real video. Developing a method that turns a single photo into a believable video has been a challenge for the field.
   The system consists of two parts: first, it predicts how things were moving when the photo was taken, and then uses that information to create the animation. Then the system uses that information to determine if and how each pixel should move. Finally, the researchers want their animation to loop seamlessly to create a look of continuous movement. The animation network follows a few tricks to keep things clean, including transitioning different parts of the frame at different times and deciding how quickly or slowly to blend each pixel depending on its surroundings. 
   This method works best for objects with predictable fluid motion, like water, fire or smoke. These types of motions obey the same set of physical laws, and there are usually cues in the image that tell us how things should be moving. Currently, the technology struggles to predict how reflections should move or how water distorts the appearance of objects beneath it. In the future, the researchers would like to extend their work to operate on a wider range of objects, like animating a person’s hair blowing in the wind. 
Internet: <www.sciencedaily.com> (adapted).

Based on the text above, judge the item below.  

It was not so easy to develop such a method to give motion to a single picture. 

Alternativas
Q1831282 Inglês
Researchers can turn a single photo into a video
   Sometimes photos cannot truly capture a scene. How much more epic would that vacation photo of Niagara Falls be if the water were moving? Researchers at the University of Washington have developed a deep learning method that can do just that: if given a single photo of a waterfall, the system creates a video showing that water cascading down. All that’s missing is the roar of the water and the feeling of the spray on your face.
   This method can animate any flowing material, including smoke and clouds. This technique produces a short video that loops seamlessly, giving the impression of endless movement.
   An expert says that a picture captures a moment frozen in time, but a lot of information is lost in a static image. That makes people wonder what led to that moment, and how things are changing. If people think about the last time that they found themselves fixated on something really interesting, chances are, it was’t totally static. 
   What is special about that method is that it doesn’t require any user input or extra information. All that is needed is a picture. And it produces as output a high-resolution, seamlessly looping video that quite often looks like a real video. Developing a method that turns a single photo into a believable video has been a challenge for the field.
   The system consists of two parts: first, it predicts how things were moving when the photo was taken, and then uses that information to create the animation. Then the system uses that information to determine if and how each pixel should move. Finally, the researchers want their animation to loop seamlessly to create a look of continuous movement. The animation network follows a few tricks to keep things clean, including transitioning different parts of the frame at different times and deciding how quickly or slowly to blend each pixel depending on its surroundings. 
   This method works best for objects with predictable fluid motion, like water, fire or smoke. These types of motions obey the same set of physical laws, and there are usually cues in the image that tell us how things should be moving. Currently, the technology struggles to predict how reflections should move or how water distorts the appearance of objects beneath it. In the future, the researchers would like to extend their work to operate on a wider range of objects, like animating a person’s hair blowing in the wind. 
Internet: <www.sciencedaily.com> (adapted).

Based on the text above, judge the item below.  

One of the drawbacks of this method is the amount of user input and information it requires. 

Alternativas
Q1831281 Inglês
Researchers can turn a single photo into a video
   Sometimes photos cannot truly capture a scene. How much more epic would that vacation photo of Niagara Falls be if the water were moving? Researchers at the University of Washington have developed a deep learning method that can do just that: if given a single photo of a waterfall, the system creates a video showing that water cascading down. All that’s missing is the roar of the water and the feeling of the spray on your face.
   This method can animate any flowing material, including smoke and clouds. This technique produces a short video that loops seamlessly, giving the impression of endless movement.
   An expert says that a picture captures a moment frozen in time, but a lot of information is lost in a static image. That makes people wonder what led to that moment, and how things are changing. If people think about the last time that they found themselves fixated on something really interesting, chances are, it was’t totally static. 
   What is special about that method is that it doesn’t require any user input or extra information. All that is needed is a picture. And it produces as output a high-resolution, seamlessly looping video that quite often looks like a real video. Developing a method that turns a single photo into a believable video has been a challenge for the field.
   The system consists of two parts: first, it predicts how things were moving when the photo was taken, and then uses that information to create the animation. Then the system uses that information to determine if and how each pixel should move. Finally, the researchers want their animation to loop seamlessly to create a look of continuous movement. The animation network follows a few tricks to keep things clean, including transitioning different parts of the frame at different times and deciding how quickly or slowly to blend each pixel depending on its surroundings. 
   This method works best for objects with predictable fluid motion, like water, fire or smoke. These types of motions obey the same set of physical laws, and there are usually cues in the image that tell us how things should be moving. Currently, the technology struggles to predict how reflections should move or how water distorts the appearance of objects beneath it. In the future, the researchers would like to extend their work to operate on a wider range of objects, like animating a person’s hair blowing in the wind. 
Internet: <www.sciencedaily.com> (adapted).

Based on the text above, judge the item below.  

When people are fixated on something for a while, there might be a chance of that thing being in movement. 

Alternativas
Q1831280 Inglês
Researchers can turn a single photo into a video
   Sometimes photos cannot truly capture a scene. How much more epic would that vacation photo of Niagara Falls be if the water were moving? Researchers at the University of Washington have developed a deep learning method that can do just that: if given a single photo of a waterfall, the system creates a video showing that water cascading down. All that’s missing is the roar of the water and the feeling of the spray on your face.
   This method can animate any flowing material, including smoke and clouds. This technique produces a short video that loops seamlessly, giving the impression of endless movement.
   An expert says that a picture captures a moment frozen in time, but a lot of information is lost in a static image. That makes people wonder what led to that moment, and how things are changing. If people think about the last time that they found themselves fixated on something really interesting, chances are, it was’t totally static. 
   What is special about that method is that it doesn’t require any user input or extra information. All that is needed is a picture. And it produces as output a high-resolution, seamlessly looping video that quite often looks like a real video. Developing a method that turns a single photo into a believable video has been a challenge for the field.
   The system consists of two parts: first, it predicts how things were moving when the photo was taken, and then uses that information to create the animation. Then the system uses that information to determine if and how each pixel should move. Finally, the researchers want their animation to loop seamlessly to create a look of continuous movement. The animation network follows a few tricks to keep things clean, including transitioning different parts of the frame at different times and deciding how quickly or slowly to blend each pixel depending on its surroundings. 
   This method works best for objects with predictable fluid motion, like water, fire or smoke. These types of motions obey the same set of physical laws, and there are usually cues in the image that tell us how things should be moving. Currently, the technology struggles to predict how reflections should move or how water distorts the appearance of objects beneath it. In the future, the researchers would like to extend their work to operate on a wider range of objects, like animating a person’s hair blowing in the wind. 
Internet: <www.sciencedaily.com> (adapted).

Based on the text above, judge the item below.  

One example of what this method can do to the photo is add the sound of the water in a waterfall.

Alternativas
Q1830859 Inglês
Revolution Accelerated
How Digital Transformation is Shaping the Future of Banking

Available at: <https://www.cnbc.com/advertorial/how-digital-
-transformation-is-shaping-the-future-of-banking>. Retrieved on:
July 13th, 2021. Adapted.
From the sentence of the last paragraph, “By embracing modern banking technology, banks can support their customers today, create new value for the future and drive new levels of future growth”, it is inferred that
Alternativas
Q1830858 Inglês
Revolution Accelerated
How Digital Transformation is Shaping the Future of Banking

Available at: <https://www.cnbc.com/advertorial/how-digital-
-transformation-is-shaping-the-future-of-banking>. Retrieved on:
July 13th, 2021. Adapted.
In the sentence of the last paragraph “In short, banks are best-placed to succeed if they commit to end-to-end digital transformation”, the phrase In short conveys an idea of
Alternativas
Q1830857 Inglês
Revolution Accelerated
How Digital Transformation is Shaping the Future of Banking

Available at: <https://www.cnbc.com/advertorial/how-digital-
-transformation-is-shaping-the-future-of-banking>. Retrieved on:
July 13th, 2021. Adapted.
In paragraph 6, the personal pronoun they, used twice in the sentence “But they also show how they see their industry in the years to come”, refers to the following fragment at the same paragraph:
Alternativas
Q1830856 Inglês
Revolution Accelerated
How Digital Transformation is Shaping the Future of Banking

Available at: <https://www.cnbc.com/advertorial/how-digital-
-transformation-is-shaping-the-future-of-banking>. Retrieved on:
July 13th, 2021. Adapted.
According to the 2nd paragraph of the text, after the Covid-19 outbreak, banks initially had to face the following number of challenges: 
Alternativas
Q1830855 Inglês
Revolution Accelerated
How Digital Transformation is Shaping the Future of Banking

Available at: <https://www.cnbc.com/advertorial/how-digital-
-transformation-is-shaping-the-future-of-banking>. Retrieved on:
July 13th, 2021. Adapted.
The overall purpose of the text is
Alternativas
Q1829784 Inglês


Available at:<https://www.nytimes.com/2021/06/03/us/politics/
ufos-sighting-alien-spacecraft-pentagon.html>. Retrieved on:
July 7, 2021.
After reading the last paragraph of the text “He and other officials spoke about the classified findings in the report on the condition of anonymity”, one can infer that the officials
Alternativas
Q1829783 Inglês


Available at:<https://www.nytimes.com/2021/06/03/us/politics/
ufos-sighting-alien-spacecraft-pentagon.html>. Retrieved on:
July 7, 2021.
In the 7th paragraph of the text, in the fragment “Intelligence officials believe that at least some of the aerial phenomena could have been experimental technology from a rival power, most likely Russia or China”, the report’s authors express
Alternativas
Q1829781 Inglês


Available at:<https://www.nytimes.com/2021/06/03/us/politics/
ufos-sighting-alien-spacecraft-pentagon.html>. Retrieved on:
July 7, 2021.
In the 2nd paragraph of the text, in the fragment “That determination would appear to eliminate the possibility that Navy pilots who reported seeing unexplained aircraft”, the word who refers to  
Alternativas
Q1829780 Inglês


Available at:<https://www.nytimes.com/2021/06/03/us/politics/
ufos-sighting-alien-spacecraft-pentagon.html>. Retrieved on:
July 7, 2021.
One of the purposes of the text is to confirm that the report determines the
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Q1825964 Inglês

Available at:<https://www.ua-magazine.com/2021/05/12/robots-the--next-generation-of-soccer-players>. Retrieved on: July 4th, 2021.

Adapted.

In paragraph 9, there is the information that in RoboCup competitions the game referee and the team coaches are
Alternativas
Q1825962 Inglês

Available at:<https://www.ua-magazine.com/2021/05/12/robots-the--next-generation-of-soccer-players>. Retrieved on: July 4th, 2021.

Adapted.

In the text fragment of the sixth paragraph “RoboCup Soccer Federation, the “FIFA” of robots, which supports five leagues, imposes restrictions on players’ design and rules of the game”, the word which refers to 
Alternativas
Q1825960 Inglês

Available at:<https://www.ua-magazine.com/2021/05/12/robots-the--next-generation-of-soccer-players>. Retrieved on: July 4th, 2021.

Adapted.

According to the second paragraph, the concept of robotic soccer players emerged  
Alternativas
Q1825819 Inglês

    China has charged ahead with a bold effort to remake the way that government-backed money works, rolling out its own digital currency with different qualities than cash or digital deposits. The country’s central bank started testing a new electronic currency, which was named electronic Chinese yuan or eCNY, last year in four cities and have recently expanded those trials to bigger cities such as Beijing and Shanghai, according to government presentations. No other major power is as far along with a homegrown digital currency.

    The effort is one of several by central banks around the world to try new forms of digital money that can move faster and give even the most disadvantaged people access to online financial tools. Digital currencies created by central banks give governments more of a financial grip. These currencies can enable direct handouts of money that expire if not used by a particular date and can make it easier for governments to track financial transactions to stamp out tax evasion and crack down on dissidents.

    If the eCNY is successful, it will give the central bank new powers, including novel types of monetary policy to help the economy grow. In one possibility that economists have discussed, a central bank could program its digital currency to slowly lose value so that consumers are encouraged to spend it immediately. Also, the eCNY could immediately give the Chinese government more power to monitor finance flows because a digital currency system can record every transaction.

Internet: <www.nytimes.com>(adapted).

Judge the following item, concerning the ideas stated in the text and the words used in it.


If consumers spend the new currency immediately, the central bank will find a way to make it lose its worth accordingly.

Alternativas
Q1825818 Inglês

    China has charged ahead with a bold effort to remake the way that government-backed money works, rolling out its own digital currency with different qualities than cash or digital deposits. The country’s central bank started testing a new electronic currency, which was named electronic Chinese yuan or eCNY, last year in four cities and have recently expanded those trials to bigger cities such as Beijing and Shanghai, according to government presentations. No other major power is as far along with a homegrown digital currency.

    The effort is one of several by central banks around the world to try new forms of digital money that can move faster and give even the most disadvantaged people access to online financial tools. Digital currencies created by central banks give governments more of a financial grip. These currencies can enable direct handouts of money that expire if not used by a particular date and can make it easier for governments to track financial transactions to stamp out tax evasion and crack down on dissidents.

    If the eCNY is successful, it will give the central bank new powers, including novel types of monetary policy to help the economy grow. In one possibility that economists have discussed, a central bank could program its digital currency to slowly lose value so that consumers are encouraged to spend it immediately. Also, the eCNY could immediately give the Chinese government more power to monitor finance flows because a digital currency system can record every transaction.

Internet: <www.nytimes.com>(adapted).

Judge the following item, concerning the ideas stated in the text and the words used in it.


Some of the benefits that digital currencies like eCNY can offer are an expiration date if not used by a particular date and the tracking of the users’ financial transactions.

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