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

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Q815350
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2017 Banca: VUNESP Órgão: UNESP Prova: VUNESP - 2017 - UNESP - Vestibular - Segundo Semestre |
Q815350 Inglês

                             

      It is essential to promote social inclusion by providing spaces for people of all socio-economic backgrounds to use and enjoy. Quality public spaces such as libraries and parks can supplement housing as study and recreational spaces for the urban poor.

      There is a need to ensure that there is an equitable distribution of public spaces within cities. Through the provision of quality public spaces in cities can reduce the economic and social segregation that is prevalent in many developed and developing cities. By ensuring the distribution, coverage and quality of public spaces, it is possible to directly influence the dynamics of urban density, to combine uses and to promote the social mixture of cities’ inhabitants.

      Rights and duties of all the public space stakeholders should be clearly defined. Public spaces are public assets as a public space is by definition a place where all citizens are legitimate to be and discrimination should be tackled there. Public space has the capacity to gather people and break down social barriers. Protecting the inclusiveness of public space is a key prerequisite for the right to the city and an important asset to foster tolerance, conviviality and dialogue.

      Public spaces in slums are only used to enable people to move. There is a lack of public space both in quantity and quality, leading to high residential density, high crime rates, lack of public facilities such as toilets or water, difficulties to practice outdoor sports and other recreational activities among others.

                                                                                                    (www.learning.uclg.org)

Segundo o texto, o direito à cidade por parte dos cidadãos ocorrerá por meio
Alternativas
Q815349
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2017 Banca: VUNESP Órgão: UNESP Prova: VUNESP - 2017 - UNESP - Vestibular - Segundo Semestre |
Q815349 Inglês

                             

      It is essential to promote social inclusion by providing spaces for people of all socio-economic backgrounds to use and enjoy. Quality public spaces such as libraries and parks can supplement housing as study and recreational spaces for the urban poor.

      There is a need to ensure that there is an equitable distribution of public spaces within cities. Through the provision of quality public spaces in cities can reduce the economic and social segregation that is prevalent in many developed and developing cities. By ensuring the distribution, coverage and quality of public spaces, it is possible to directly influence the dynamics of urban density, to combine uses and to promote the social mixture of cities’ inhabitants.

      Rights and duties of all the public space stakeholders should be clearly defined. Public spaces are public assets as a public space is by definition a place where all citizens are legitimate to be and discrimination should be tackled there. Public space has the capacity to gather people and break down social barriers. Protecting the inclusiveness of public space is a key prerequisite for the right to the city and an important asset to foster tolerance, conviviality and dialogue.

      Public spaces in slums are only used to enable people to move. There is a lack of public space both in quantity and quality, leading to high residential density, high crime rates, lack of public facilities such as toilets or water, difficulties to practice outdoor sports and other recreational activities among others.

                                                                                                    (www.learning.uclg.org)

According to the text, by definition, public spaces
Alternativas
Q814947
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2016 Banca: NC-UFPR Órgão: UFPR Prova: NC-UFPR - 2016 - UFPR - Vestibular |
Q814947 Inglês
Six things I learned from riding in a Google self-driving car
1 - Human beings are terrible drivers.
We drink. We doze. We text. In the US, 30,000 people die from automobile accidents every year. Traffic crashes are the primary cause of death worldwide for people aged 15-24, and during a crash, 40% of drivers never even hit the brakes. We’re flawed organisms, barreling around at high speeds in vessels covered in glass, metal, distraction, and death. This is one of Google’s “moonshots” – to remove human error from a job which, for the past hundred years, has been entirely human.
2 - Google self-driving cars are timid.
The car we rode in did not strike me as dangerous. It drove slowly and deliberately, and I got the impression that it’s more likely to annoy other drivers than to harm them. In the early versions they tested on closed courses, the vehicles were programmed to be highly aggressive. Apparently during these tests, which involved obstacle courses full of traffic cones and inflatable crash-test objects, there were a lot of screeching brakes, roaring engines and terrified interns.
3 - They’re cute.
Google’s new fleet was intentionally designed to look adorable. Our brains are hardwired to treat inanimate (or animate) objects with greater care, caution, and reverence when they resemble a living thing. By turning self-driving cars into an adorable Skynet Marshmallow Bumper Bots, Google hopes to spiritually disarm other drivers. I also suspect the cuteness is used to quell some of the road rage that might emerge from being stuck behind one of these things. They’re intended as moderate-distance couriers, not openroad warriors, so their max speed is 25 miles per hour.
4 - It’s not done and it’s not perfect.
Some of the scenarios autonomous vehicles have the most trouble with are the same human beings have the most trouble with, such as traversing four-way stops or handling a yellow light. The cars use a mixture of 3D laser-mapping, GPS, and radar to analyze and interpret their surroundings, and the latest versions are fully electric with a range of about 100 miles. Despite the advantages over a human being in certain scenarios, however, these cars still aren’t ready for the real world. They can’t drive in the snow or heavy rain, and there’s a variety of complex situations they do not process well, such as passing through a construction zone. Google is hoping that, eventually, the cars will be able to handle all of this as well (or better) than a human could.
5 - I want this technology to succeed, like… yesterday.
I’m biased. Earlier this year my mom had a stroke. It damaged the visual cortex of her brain, and her vision was impaired to the point that she’ll probably never drive again. This reduced her from a fully-functional, independent human being with a career and a buzzing social life into someone who is homebound, disabled, and powerless. When discussing self-driving cars, people tend to ask many superficial questions. They ignore that 45% of disabled people in the US still work. They ignore that 95% of a car’s lifetime is spent parked. They ignore how this technology could transform the lives of the elderly, or eradicate the need for parking lots or garages or gas stations. They dismiss the entire concept because they don’t think a computer could ever be as good at merging on the freeway as they are. They ignore the great, big, beautiful picture: that this technology could make our lives so much better.
6 - It wasn’t an exhilarating ride, and that’s a good thing.
Riding in a self-driving car is not the cybernetic thrill ride one might expect. The car drives like a person, and after a few minutes you forget that you’re being driven autonomously. You forget that a robot is differentiating cars from pedestrians from mopeds from raccoons. You forget that millions of photons are being fired from a laser and interpreting, processing, and reacting to the hand signals of a cyclist. You forget that instead of an organic brain, which has had millions of years to evolve the cognitive ability to fumble its way through a four-way stop, you’re being piloted by an artificial one, which was birthed in less than a decade. The unfortunate part of something this transformative is the inevitable, ardent stupidity which is going to erupt from the general public. Even if in a few years self-driving cars are proven to be ten times safer than human-operated cars, all it’s going to take is one tragic accident and the public is going to lose their minds. There will be outrage. There will be politicizing. There will be hashtags. I say look at the bigger picture. All the self-driving cars currently on the road learn from one another, and possess 40 years of driving experience. And this technology is still in its infancy.
(Adapted from: <http://theoatmeal.com/blog/google_self_driving_car> . 21/08/2016.)
Based on the text, it is correct to affirm that the author:
Alternativas
Q814945
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2016 Banca: NC-UFPR Órgão: UFPR Prova: NC-UFPR - 2016 - UFPR - Vestibular |
Q814945 Inglês
Six things I learned from riding in a Google self-driving car
1 - Human beings are terrible drivers.
We drink. We doze. We text. In the US, 30,000 people die from automobile accidents every year. Traffic crashes are the primary cause of death worldwide for people aged 15-24, and during a crash, 40% of drivers never even hit the brakes. We’re flawed organisms, barreling around at high speeds in vessels covered in glass, metal, distraction, and death. This is one of Google’s “moonshots” – to remove human error from a job which, for the past hundred years, has been entirely human.
2 - Google self-driving cars are timid.
The car we rode in did not strike me as dangerous. It drove slowly and deliberately, and I got the impression that it’s more likely to annoy other drivers than to harm them. In the early versions they tested on closed courses, the vehicles were programmed to be highly aggressive. Apparently during these tests, which involved obstacle courses full of traffic cones and inflatable crash-test objects, there were a lot of screeching brakes, roaring engines and terrified interns.
3 - They’re cute.
Google’s new fleet was intentionally designed to look adorable. Our brains are hardwired to treat inanimate (or animate) objects with greater care, caution, and reverence when they resemble a living thing. By turning self-driving cars into an adorable Skynet Marshmallow Bumper Bots, Google hopes to spiritually disarm other drivers. I also suspect the cuteness is used to quell some of the road rage that might emerge from being stuck behind one of these things. They’re intended as moderate-distance couriers, not openroad warriors, so their max speed is 25 miles per hour.
4 - It’s not done and it’s not perfect.
Some of the scenarios autonomous vehicles have the most trouble with are the same human beings have the most trouble with, such as traversing four-way stops or handling a yellow light. The cars use a mixture of 3D laser-mapping, GPS, and radar to analyze and interpret their surroundings, and the latest versions are fully electric with a range of about 100 miles. Despite the advantages over a human being in certain scenarios, however, these cars still aren’t ready for the real world. They can’t drive in the snow or heavy rain, and there’s a variety of complex situations they do not process well, such as passing through a construction zone. Google is hoping that, eventually, the cars will be able to handle all of this as well (or better) than a human could.
5 - I want this technology to succeed, like… yesterday.
I’m biased. Earlier this year my mom had a stroke. It damaged the visual cortex of her brain, and her vision was impaired to the point that she’ll probably never drive again. This reduced her from a fully-functional, independent human being with a career and a buzzing social life into someone who is homebound, disabled, and powerless. When discussing self-driving cars, people tend to ask many superficial questions. They ignore that 45% of disabled people in the US still work. They ignore that 95% of a car’s lifetime is spent parked. They ignore how this technology could transform the lives of the elderly, or eradicate the need for parking lots or garages or gas stations. They dismiss the entire concept because they don’t think a computer could ever be as good at merging on the freeway as they are. They ignore the great, big, beautiful picture: that this technology could make our lives so much better.
6 - It wasn’t an exhilarating ride, and that’s a good thing.
Riding in a self-driving car is not the cybernetic thrill ride one might expect. The car drives like a person, and after a few minutes you forget that you’re being driven autonomously. You forget that a robot is differentiating cars from pedestrians from mopeds from raccoons. You forget that millions of photons are being fired from a laser and interpreting, processing, and reacting to the hand signals of a cyclist. You forget that instead of an organic brain, which has had millions of years to evolve the cognitive ability to fumble its way through a four-way stop, you’re being piloted by an artificial one, which was birthed in less than a decade. The unfortunate part of something this transformative is the inevitable, ardent stupidity which is going to erupt from the general public. Even if in a few years self-driving cars are proven to be ten times safer than human-operated cars, all it’s going to take is one tragic accident and the public is going to lose their minds. There will be outrage. There will be politicizing. There will be hashtags. I say look at the bigger picture. All the self-driving cars currently on the road learn from one another, and possess 40 years of driving experience. And this technology is still in its infancy.
(Adapted from: <http://theoatmeal.com/blog/google_self_driving_car> . 21/08/2016.)
The text points out that the design of the self-driving car is deliberately attractive because:
Alternativas
Q814944
Inglês Pronomes | Pronouns , Interpretação de texto | Reading comprehension , Pronome subjetivo | Subjective pronoun ,
Ano: 2016 Banca: NC-UFPR Órgão: UFPR Prova: NC-UFPR - 2016 - UFPR - Vestibular |
Q814944 Inglês
Six things I learned from riding in a Google self-driving car
1 - Human beings are terrible drivers.
We drink. We doze. We text. In the US, 30,000 people die from automobile accidents every year. Traffic crashes are the primary cause of death worldwide for people aged 15-24, and during a crash, 40% of drivers never even hit the brakes. We’re flawed organisms, barreling around at high speeds in vessels covered in glass, metal, distraction, and death. This is one of Google’s “moonshots” – to remove human error from a job which, for the past hundred years, has been entirely human.
2 - Google self-driving cars are timid.
The car we rode in did not strike me as dangerous. It drove slowly and deliberately, and I got the impression that it’s more likely to annoy other drivers than to harm them. In the early versions they tested on closed courses, the vehicles were programmed to be highly aggressive. Apparently during these tests, which involved obstacle courses full of traffic cones and inflatable crash-test objects, there were a lot of screeching brakes, roaring engines and terrified interns.
3 - They’re cute.
Google’s new fleet was intentionally designed to look adorable. Our brains are hardwired to treat inanimate (or animate) objects with greater care, caution, and reverence when they resemble a living thing. By turning self-driving cars into an adorable Skynet Marshmallow Bumper Bots, Google hopes to spiritually disarm other drivers. I also suspect the cuteness is used to quell some of the road rage that might emerge from being stuck behind one of these things. They’re intended as moderate-distance couriers, not openroad warriors, so their max speed is 25 miles per hour.
4 - It’s not done and it’s not perfect.
Some of the scenarios autonomous vehicles have the most trouble with are the same human beings have the most trouble with, such as traversing four-way stops or handling a yellow light. The cars use a mixture of 3D laser-mapping, GPS, and radar to analyze and interpret their surroundings, and the latest versions are fully electric with a range of about 100 miles. Despite the advantages over a human being in certain scenarios, however, these cars still aren’t ready for the real world. They can’t drive in the snow or heavy rain, and there’s a variety of complex situations they do not process well, such as passing through a construction zone. Google is hoping that, eventually, the cars will be able to handle all of this as well (or better) than a human could.
5 - I want this technology to succeed, like… yesterday.
I’m biased. Earlier this year my mom had a stroke. It damaged the visual cortex of her brain, and her vision was impaired to the point that she’ll probably never drive again. This reduced her from a fully-functional, independent human being with a career and a buzzing social life into someone who is homebound, disabled, and powerless. When discussing self-driving cars, people tend to ask many superficial questions. They ignore that 45% of disabled people in the US still work. They ignore that 95% of a car’s lifetime is spent parked. They ignore how this technology could transform the lives of the elderly, or eradicate the need for parking lots or garages or gas stations. They dismiss the entire concept because they don’t think a computer could ever be as good at merging on the freeway as they are. They ignore the great, big, beautiful picture: that this technology could make our lives so much better.
6 - It wasn’t an exhilarating ride, and that’s a good thing.
Riding in a self-driving car is not the cybernetic thrill ride one might expect. The car drives like a person, and after a few minutes you forget that you’re being driven autonomously. You forget that a robot is differentiating cars from pedestrians from mopeds from raccoons. You forget that millions of photons are being fired from a laser and interpreting, processing, and reacting to the hand signals of a cyclist. You forget that instead of an organic brain, which has had millions of years to evolve the cognitive ability to fumble its way through a four-way stop, you’re being piloted by an artificial one, which was birthed in less than a decade. The unfortunate part of something this transformative is the inevitable, ardent stupidity which is going to erupt from the general public. Even if in a few years self-driving cars are proven to be ten times safer than human-operated cars, all it’s going to take is one tragic accident and the public is going to lose their minds. There will be outrage. There will be politicizing. There will be hashtags. I say look at the bigger picture. All the self-driving cars currently on the road learn from one another, and possess 40 years of driving experience. And this technology is still in its infancy.
(Adapted from: <http://theoatmeal.com/blog/google_self_driving_car> . 21/08/2016.)
The word “they”, in boldface and underlined, in section 3, refers to:
Alternativas
Q814943
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2016 Banca: NC-UFPR Órgão: UFPR Prova: NC-UFPR - 2016 - UFPR - Vestibular |
Q814943 Inglês
Six things I learned from riding in a Google self-driving car
1 - Human beings are terrible drivers.
We drink. We doze. We text. In the US, 30,000 people die from automobile accidents every year. Traffic crashes are the primary cause of death worldwide for people aged 15-24, and during a crash, 40% of drivers never even hit the brakes. We’re flawed organisms, barreling around at high speeds in vessels covered in glass, metal, distraction, and death. This is one of Google’s “moonshots” – to remove human error from a job which, for the past hundred years, has been entirely human.
2 - Google self-driving cars are timid.
The car we rode in did not strike me as dangerous. It drove slowly and deliberately, and I got the impression that it’s more likely to annoy other drivers than to harm them. In the early versions they tested on closed courses, the vehicles were programmed to be highly aggressive. Apparently during these tests, which involved obstacle courses full of traffic cones and inflatable crash-test objects, there were a lot of screeching brakes, roaring engines and terrified interns.
3 - They’re cute.
Google’s new fleet was intentionally designed to look adorable. Our brains are hardwired to treat inanimate (or animate) objects with greater care, caution, and reverence when they resemble a living thing. By turning self-driving cars into an adorable Skynet Marshmallow Bumper Bots, Google hopes to spiritually disarm other drivers. I also suspect the cuteness is used to quell some of the road rage that might emerge from being stuck behind one of these things. They’re intended as moderate-distance couriers, not openroad warriors, so their max speed is 25 miles per hour.
4 - It’s not done and it’s not perfect.
Some of the scenarios autonomous vehicles have the most trouble with are the same human beings have the most trouble with, such as traversing four-way stops or handling a yellow light. The cars use a mixture of 3D laser-mapping, GPS, and radar to analyze and interpret their surroundings, and the latest versions are fully electric with a range of about 100 miles. Despite the advantages over a human being in certain scenarios, however, these cars still aren’t ready for the real world. They can’t drive in the snow or heavy rain, and there’s a variety of complex situations they do not process well, such as passing through a construction zone. Google is hoping that, eventually, the cars will be able to handle all of this as well (or better) than a human could.
5 - I want this technology to succeed, like… yesterday.
I’m biased. Earlier this year my mom had a stroke. It damaged the visual cortex of her brain, and her vision was impaired to the point that she’ll probably never drive again. This reduced her from a fully-functional, independent human being with a career and a buzzing social life into someone who is homebound, disabled, and powerless. When discussing self-driving cars, people tend to ask many superficial questions. They ignore that 45% of disabled people in the US still work. They ignore that 95% of a car’s lifetime is spent parked. They ignore how this technology could transform the lives of the elderly, or eradicate the need for parking lots or garages or gas stations. They dismiss the entire concept because they don’t think a computer could ever be as good at merging on the freeway as they are. They ignore the great, big, beautiful picture: that this technology could make our lives so much better.
6 - It wasn’t an exhilarating ride, and that’s a good thing.
Riding in a self-driving car is not the cybernetic thrill ride one might expect. The car drives like a person, and after a few minutes you forget that you’re being driven autonomously. You forget that a robot is differentiating cars from pedestrians from mopeds from raccoons. You forget that millions of photons are being fired from a laser and interpreting, processing, and reacting to the hand signals of a cyclist. You forget that instead of an organic brain, which has had millions of years to evolve the cognitive ability to fumble its way through a four-way stop, you’re being piloted by an artificial one, which was birthed in less than a decade. The unfortunate part of something this transformative is the inevitable, ardent stupidity which is going to erupt from the general public. Even if in a few years self-driving cars are proven to be ten times safer than human-operated cars, all it’s going to take is one tragic accident and the public is going to lose their minds. There will be outrage. There will be politicizing. There will be hashtags. I say look at the bigger picture. All the self-driving cars currently on the road learn from one another, and possess 40 years of driving experience. And this technology is still in its infancy.
(Adapted from: <http://theoatmeal.com/blog/google_self_driving_car> . 21/08/2016.)
Consider the following characteristics of the new Google self-driving car:
1. It runs on batteries and petrol.
2. It can be used in extreme weather conditions. 3. It has a design which requires further modifications. 4. It can reach the speed of 25 miles per hour.
Mark the correct alternative.
Alternativas
Q814942
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2016 Banca: NC-UFPR Órgão: UFPR Prova: NC-UFPR - 2016 - UFPR - Vestibular |
Q814942 Inglês
Six things I learned from riding in a Google self-driving car
1 - Human beings are terrible drivers.
We drink. We doze. We text. In the US, 30,000 people die from automobile accidents every year. Traffic crashes are the primary cause of death worldwide for people aged 15-24, and during a crash, 40% of drivers never even hit the brakes. We’re flawed organisms, barreling around at high speeds in vessels covered in glass, metal, distraction, and death. This is one of Google’s “moonshots” – to remove human error from a job which, for the past hundred years, has been entirely human.
2 - Google self-driving cars are timid.
The car we rode in did not strike me as dangerous. It drove slowly and deliberately, and I got the impression that it’s more likely to annoy other drivers than to harm them. In the early versions they tested on closed courses, the vehicles were programmed to be highly aggressive. Apparently during these tests, which involved obstacle courses full of traffic cones and inflatable crash-test objects, there were a lot of screeching brakes, roaring engines and terrified interns.
3 - They’re cute.
Google’s new fleet was intentionally designed to look adorable. Our brains are hardwired to treat inanimate (or animate) objects with greater care, caution, and reverence when they resemble a living thing. By turning self-driving cars into an adorable Skynet Marshmallow Bumper Bots, Google hopes to spiritually disarm other drivers. I also suspect the cuteness is used to quell some of the road rage that might emerge from being stuck behind one of these things. They’re intended as moderate-distance couriers, not openroad warriors, so their max speed is 25 miles per hour.
4 - It’s not done and it’s not perfect.
Some of the scenarios autonomous vehicles have the most trouble with are the same human beings have the most trouble with, such as traversing four-way stops or handling a yellow light. The cars use a mixture of 3D laser-mapping, GPS, and radar to analyze and interpret their surroundings, and the latest versions are fully electric with a range of about 100 miles. Despite the advantages over a human being in certain scenarios, however, these cars still aren’t ready for the real world. They can’t drive in the snow or heavy rain, and there’s a variety of complex situations they do not process well, such as passing through a construction zone. Google is hoping that, eventually, the cars will be able to handle all of this as well (or better) than a human could.
5 - I want this technology to succeed, like… yesterday.
I’m biased. Earlier this year my mom had a stroke. It damaged the visual cortex of her brain, and her vision was impaired to the point that she’ll probably never drive again. This reduced her from a fully-functional, independent human being with a career and a buzzing social life into someone who is homebound, disabled, and powerless. When discussing self-driving cars, people tend to ask many superficial questions. They ignore that 45% of disabled people in the US still work. They ignore that 95% of a car’s lifetime is spent parked. They ignore how this technology could transform the lives of the elderly, or eradicate the need for parking lots or garages or gas stations. They dismiss the entire concept because they don’t think a computer could ever be as good at merging on the freeway as they are. They ignore the great, big, beautiful picture: that this technology could make our lives so much better.
6 - It wasn’t an exhilarating ride, and that’s a good thing.
Riding in a self-driving car is not the cybernetic thrill ride one might expect. The car drives like a person, and after a few minutes you forget that you’re being driven autonomously. You forget that a robot is differentiating cars from pedestrians from mopeds from raccoons. You forget that millions of photons are being fired from a laser and interpreting, processing, and reacting to the hand signals of a cyclist. You forget that instead of an organic brain, which has had millions of years to evolve the cognitive ability to fumble its way through a four-way stop, you’re being piloted by an artificial one, which was birthed in less than a decade. The unfortunate part of something this transformative is the inevitable, ardent stupidity which is going to erupt from the general public. Even if in a few years self-driving cars are proven to be ten times safer than human-operated cars, all it’s going to take is one tragic accident and the public is going to lose their minds. There will be outrage. There will be politicizing. There will be hashtags. I say look at the bigger picture. All the self-driving cars currently on the road learn from one another, and possess 40 years of driving experience. And this technology is still in its infancy.
(Adapted from: <http://theoatmeal.com/blog/google_self_driving_car> . 21/08/2016.)
Based on the reading, mark the correct alternative.
Alternativas
Q814941
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2016 Banca: NC-UFPR Órgão: UFPR Prova: NC-UFPR - 2016 - UFPR - Vestibular |
Q814941 Inglês
Six things I learned from riding in a Google self-driving car
1 - Human beings are terrible drivers.
We drink. We doze. We text. In the US, 30,000 people die from automobile accidents every year. Traffic crashes are the primary cause of death worldwide for people aged 15-24, and during a crash, 40% of drivers never even hit the brakes. We’re flawed organisms, barreling around at high speeds in vessels covered in glass, metal, distraction, and death. This is one of Google’s “moonshots” – to remove human error from a job which, for the past hundred years, has been entirely human.
2 - Google self-driving cars are timid.
The car we rode in did not strike me as dangerous. It drove slowly and deliberately, and I got the impression that it’s more likely to annoy other drivers than to harm them. In the early versions they tested on closed courses, the vehicles were programmed to be highly aggressive. Apparently during these tests, which involved obstacle courses full of traffic cones and inflatable crash-test objects, there were a lot of screeching brakes, roaring engines and terrified interns.
3 - They’re cute.
Google’s new fleet was intentionally designed to look adorable. Our brains are hardwired to treat inanimate (or animate) objects with greater care, caution, and reverence when they resemble a living thing. By turning self-driving cars into an adorable Skynet Marshmallow Bumper Bots, Google hopes to spiritually disarm other drivers. I also suspect the cuteness is used to quell some of the road rage that might emerge from being stuck behind one of these things. They’re intended as moderate-distance couriers, not openroad warriors, so their max speed is 25 miles per hour.
4 - It’s not done and it’s not perfect.
Some of the scenarios autonomous vehicles have the most trouble with are the same human beings have the most trouble with, such as traversing four-way stops or handling a yellow light. The cars use a mixture of 3D laser-mapping, GPS, and radar to analyze and interpret their surroundings, and the latest versions are fully electric with a range of about 100 miles. Despite the advantages over a human being in certain scenarios, however, these cars still aren’t ready for the real world. They can’t drive in the snow or heavy rain, and there’s a variety of complex situations they do not process well, such as passing through a construction zone. Google is hoping that, eventually, the cars will be able to handle all of this as well (or better) than a human could.
5 - I want this technology to succeed, like… yesterday.
I’m biased. Earlier this year my mom had a stroke. It damaged the visual cortex of her brain, and her vision was impaired to the point that she’ll probably never drive again. This reduced her from a fully-functional, independent human being with a career and a buzzing social life into someone who is homebound, disabled, and powerless. When discussing self-driving cars, people tend to ask many superficial questions. They ignore that 45% of disabled people in the US still work. They ignore that 95% of a car’s lifetime is spent parked. They ignore how this technology could transform the lives of the elderly, or eradicate the need for parking lots or garages or gas stations. They dismiss the entire concept because they don’t think a computer could ever be as good at merging on the freeway as they are. They ignore the great, big, beautiful picture: that this technology could make our lives so much better.
6 - It wasn’t an exhilarating ride, and that’s a good thing.
Riding in a self-driving car is not the cybernetic thrill ride one might expect. The car drives like a person, and after a few minutes you forget that you’re being driven autonomously. You forget that a robot is differentiating cars from pedestrians from mopeds from raccoons. You forget that millions of photons are being fired from a laser and interpreting, processing, and reacting to the hand signals of a cyclist. You forget that instead of an organic brain, which has had millions of years to evolve the cognitive ability to fumble its way through a four-way stop, you’re being piloted by an artificial one, which was birthed in less than a decade. The unfortunate part of something this transformative is the inevitable, ardent stupidity which is going to erupt from the general public. Even if in a few years self-driving cars are proven to be ten times safer than human-operated cars, all it’s going to take is one tragic accident and the public is going to lose their minds. There will be outrage. There will be politicizing. There will be hashtags. I say look at the bigger picture. All the self-driving cars currently on the road learn from one another, and possess 40 years of driving experience. And this technology is still in its infancy.
(Adapted from: <http://theoatmeal.com/blog/google_self_driving_car> . 21/08/2016.)
According to the author:
Alternativas
Q814940
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2016 Banca: NC-UFPR Órgão: UFPR Prova: NC-UFPR - 2016 - UFPR - Vestibular |
Q814940 Inglês
Six things I learned from riding in a Google self-driving car
1 - Human beings are terrible drivers.
We drink. We doze. We text. In the US, 30,000 people die from automobile accidents every year. Traffic crashes are the primary cause of death worldwide for people aged 15-24, and during a crash, 40% of drivers never even hit the brakes. We’re flawed organisms, barreling around at high speeds in vessels covered in glass, metal, distraction, and death. This is one of Google’s “moonshots” – to remove human error from a job which, for the past hundred years, has been entirely human.
2 - Google self-driving cars are timid.
The car we rode in did not strike me as dangerous. It drove slowly and deliberately, and I got the impression that it’s more likely to annoy other drivers than to harm them. In the early versions they tested on closed courses, the vehicles were programmed to be highly aggressive. Apparently during these tests, which involved obstacle courses full of traffic cones and inflatable crash-test objects, there were a lot of screeching brakes, roaring engines and terrified interns.
3 - They’re cute.
Google’s new fleet was intentionally designed to look adorable. Our brains are hardwired to treat inanimate (or animate) objects with greater care, caution, and reverence when they resemble a living thing. By turning self-driving cars into an adorable Skynet Marshmallow Bumper Bots, Google hopes to spiritually disarm other drivers. I also suspect the cuteness is used to quell some of the road rage that might emerge from being stuck behind one of these things. They’re intended as moderate-distance couriers, not openroad warriors, so their max speed is 25 miles per hour.
4 - It’s not done and it’s not perfect.
Some of the scenarios autonomous vehicles have the most trouble with are the same human beings have the most trouble with, such as traversing four-way stops or handling a yellow light. The cars use a mixture of 3D laser-mapping, GPS, and radar to analyze and interpret their surroundings, and the latest versions are fully electric with a range of about 100 miles. Despite the advantages over a human being in certain scenarios, however, these cars still aren’t ready for the real world. They can’t drive in the snow or heavy rain, and there’s a variety of complex situations they do not process well, such as passing through a construction zone. Google is hoping that, eventually, the cars will be able to handle all of this as well (or better) than a human could.
5 - I want this technology to succeed, like… yesterday.
I’m biased. Earlier this year my mom had a stroke. It damaged the visual cortex of her brain, and her vision was impaired to the point that she’ll probably never drive again. This reduced her from a fully-functional, independent human being with a career and a buzzing social life into someone who is homebound, disabled, and powerless. When discussing self-driving cars, people tend to ask many superficial questions. They ignore that 45% of disabled people in the US still work. They ignore that 95% of a car’s lifetime is spent parked. They ignore how this technology could transform the lives of the elderly, or eradicate the need for parking lots or garages or gas stations. They dismiss the entire concept because they don’t think a computer could ever be as good at merging on the freeway as they are. They ignore the great, big, beautiful picture: that this technology could make our lives so much better.
6 - It wasn’t an exhilarating ride, and that’s a good thing.
Riding in a self-driving car is not the cybernetic thrill ride one might expect. The car drives like a person, and after a few minutes you forget that you’re being driven autonomously. You forget that a robot is differentiating cars from pedestrians from mopeds from raccoons. You forget that millions of photons are being fired from a laser and interpreting, processing, and reacting to the hand signals of a cyclist. You forget that instead of an organic brain, which has had millions of years to evolve the cognitive ability to fumble its way through a four-way stop, you’re being piloted by an artificial one, which was birthed in less than a decade. The unfortunate part of something this transformative is the inevitable, ardent stupidity which is going to erupt from the general public. Even if in a few years self-driving cars are proven to be ten times safer than human-operated cars, all it’s going to take is one tragic accident and the public is going to lose their minds. There will be outrage. There will be politicizing. There will be hashtags. I say look at the bigger picture. All the self-driving cars currently on the road learn from one another, and possess 40 years of driving experience. And this technology is still in its infancy.
(Adapted from: <http://theoatmeal.com/blog/google_self_driving_car> . 21/08/2016.)
Consider the following:
1. Drinking before driving. 2. Sending a written message while driving. 3. Sleeping for a short period of time. 4. Hitting the brakes. 5. Speeding up.
According to the text, some human mistakes that happen before or during a car accident are:
Alternativas
Q809843
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2015 Banca: PUC-PR Órgão: PUC - PR Prova: PUC-PR - 2015 - PUC - PR - Vestibular - Medicina |
Q809843 Inglês

 Read the text and choose the best alternative.


                                Don’t Set Goals: Use Systems


Have you already set your goals for the New Year? Do you want to lose 10 kilos, run a marathon or speak fluent English? Some experts believe that you need systems, not goals. A system is something you do on a regular basis. This means focusing on what you can control (your actions) rather than what you can’t (the unpredictable). For example, don’t focus on losing 10 kilos, focus on shopping for healthy food and cooking something light every day. Don’t focus on the marathon; focus on the training schedule. Invent a system to improve your English, one step at a time. Good luck!

Disponível em: . Acesso em: junho de 2015.


According to the text we can state that:


I. In order to achieve something you should focus on your actions.

II. In order to achieve something you should eat healthy food every day.

III. In order to achieve something you should set your systems for the New Year.

IV. In order to achieve something you should take one step at a time.  

Alternativas
Q809842
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2015 Banca: PUC-PR Órgão: PUC - PR Prova: PUC-PR - 2015 - PUC - PR - Vestibular - Medicina |
Q809842 Inglês

Read the text and choose the best alternative for the underlined word.


                       Pictures of Ascent in the Fiction of Edgar Allan Poe.

                                                                                                    By Douglas Anderson.

                                             New York: Palgrave Macmillan. 2009. xi, 201 pp. $ 80.00.


The material world and the ability to transcend it are at the heart of this study of Edgar Allan Poe’s writings. In chapters such as “Problems of Disposal” and “The Gravity of Things,” Anderson contrasts the “weight of living” present in Poe’s life and work with, in Italo Calvino’s words, the “lightness of thoughtfulness.” This book provides a taxonomy of Poe’s literary imagination through suggestive literary analyses of the fictive environments that inhabit and undergird his stories, and it expands the purview of Poe studies as well as of nineteenth-century American literature.

Available in: <http://americanliterature.dukejournals.org/content/82/3/663.full.pdf> . Access on: August 2015.


Taxonomy means 

Alternativas
Q809841
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2015 Banca: PUC-PR Órgão: PUC - PR Prova: PUC-PR - 2015 - PUC - PR - Vestibular - Medicina |
Q809841 Inglês

Read the text below:


                Study: Junk Food Doesn’t Only Make You Fat, It Makes You Lazy


According to a recent study by researchers at the University of California Los Angeles, a diet rich in processed food and fat leads not only to excess weight but also to less motivation. Researchers found that rats on a junk food diet were significantly fatter than rats on a healthy diet. But the rats with the unhealthy diet also were less active and mentally slower. "Our data suggest that diet-induced obesity is a cause, rather than an effect, of laziness. Either the highly processed diet causes fatigue or the diet causes obesity, which causes fatigue," says lead researcher Aaron Blaisdell.

Disponível em: <http://www.shortnews.com/start.cfm?id=94296> . Acesso em: abril de 2015.


According to the text, it is possible to state that:

I. Rats which ate healthy food were thinner than the ones which ate junk food.

II. Laziness is a consequence from obesity.

III. Obesity can be considered as an effect of laziness.

IV. Less motivation is one of the causes which make junk food ingestion attractive.

V. Rats on a healthy diet were more active.


Alternativas
Q809840
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2015 Banca: PUC-PR Órgão: PUC - PR Prova: PUC-PR - 2015 - PUC - PR - Vestibular - Medicina |
Q809840 Inglês

Read the text and choose the best alternative.


                                Solar eclipse in Europe

The UK could be plunged into darkness next month, as experts warn there could be the biggest solar eclipse since 1999. Nearly 90% of the sun's rays are expected to be blocked out in parts of Europe on March 20th.

In London and the Southeast, 85% of the sun will be obscured by the moon, while in northern Scotland, more than 95% will be covered.

But the National Grid warns there could be a solar power outage as a result. Solar power isn’t widely used in the UK, but other parts of Europe that heavily rely on it could be out of electricity for a short while.

There's no need to worry, though – the European Network Transmission System Operators for Electricity have been planning for the event for months.

The eclipse will last for around two hours at 8:40 a.m. The next one will not be until 2026.

Disponível em: <http://www.newsinlevels.com/products/solar-eclipse-in-europe-level-3/> . Acesso em: março 2015.


Check the statements according to lexical-semantic aspects from the text above:


I. In: ‘The UK could be plunged into darkness next month…’, the verb in bold could be changed to ‘immersed’ without changing the meaning of the sentence.

II. The word ‘warn’ in the first paragraph means to make someone conscious of a possible problem or danger so they will not be hurt or affected by it.

III. In the sentence: ‘In London and the Southeast, 85% of the sun will be obscured by the moon, while in northern Scotland, more than 95% will be covered.’; the conjunction ‘while’ means that the same exact thing will be happening in the entire area.

IV. Read the sentence: ‘But the National Grid warns there could be a solar power outage as a result.’ The words in bold ‘as a result’ mean that a solar power outage could happen because of the solar eclipse.

V. The meaning of the word ‘eclipse’ in the last paragraph is ‘decline’.


Choose the CORRECT alternative.  

Alternativas
Q809839
Inglês Adjetivos | Adjectives , Comparativo e superlativo de adjetivos | Comparative and superlative , Interpretação de texto | Reading comprehension ,
Ano: 2015 Banca: PUC-PR Órgão: PUC - PR Prova: PUC-PR - 2015 - PUC - PR - Vestibular - Medicina |
Q809839 Inglês

Read the text and answer the question.


                  Life stress may lead to cognitive developmental delays in children


According to a new study, children living in harsh or unstable environments are more likely to experience learning and cognitive delays by age 4.

Researchers examined the cortisol levels and cognitive delays of 201 children from low-income families in the northeastern United States. It was found that those kids with higher levels of cortisol experienced harsh or insensitive caregiving.

"We discovered that exposure to specific forms of family adversity when children were 2 years old predicted their cortisol profile, which in turn was linked with notable differences in children´s cognitive functioning at age 4," the researchers say.

Disponível em: <http://www.shortnews.com/start.cfm?id=100733> . Acesso em: 16/06/15.


According to the research, we can state that:


I. Children who are more stressed may have cognitive delay.

II. Children who are stresser may have developmental delays.

III. Children from more rich families were evaluated in this research.

IV. Children from richer families were evaluated in this research.

V. Children from poorer families were evaluated in this research. 

Alternativas
Q809573
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2015 Banca: PUC - Campinas Órgão: PUC - Campinas Prova: PUC - Campinas - 2015 - PUC - Campinas - Vestibular - Conhecimentos Gerais |
Q809573 Inglês

Atenção: Para responder à questão, considere o texto abaixo.

The colors of the rainbow so pretty in the sky

Are also on the faces of people passing .. I...

I see friends ..II.. hands

Saying, "how do you do?"

They're really saying,

I love you. 

The word that correctly fills the blank ..I.. is
Alternativas
Q809569
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2015 Banca: PUC - Campinas Órgão: PUC - Campinas Prova: PUC - Campinas - 2015 - PUC - Campinas - Vestibular - Conhecimentos Gerais |
Q809569 Inglês


According to the author of the main text,
Alternativas
Q809536
Inglês Interpretação de texto | Reading comprehension , Vocabulário | Vocabulary ,
Ano: 2016 Banca: PUC - RS Órgão: PUC - RS Prova: PUC - RS - 2016 - PUC - RS - Vestibular - Segundo Semestre - 2º Dia |
Q809536 Inglês


De acordo com os quadrinhos 5, 6 e 8, Mafalda demonstra estar, respectivamente,
Alternativas
Q809534
Inglês Interpretação de texto | Reading comprehension ,
Ano: 2016 Banca: PUC - RS Órgão: PUC - RS Prova: PUC - RS - 2016 - PUC - RS - Vestibular - Segundo Semestre - 2º Dia |
Q809534 Inglês


After reading the text, one can conclude that Shakespeare’s works became evident due to his

Alternativas
Q809533
Inglês Interpretação de texto | Reading comprehension , Vocabulário | Vocabulary , Aspectos linguísticos | Linguistic aspects ,
Ano: 2016 Banca: PUC - RS Órgão: PUC - RS Prova: PUC - RS - 2016 - PUC - RS - Vestibular - Segundo Semestre - 2º Dia |
Q809533 Inglês


The pairs of phrases below belong to the same semantic field, EXCEPT for

Alternativas
Q809530
Inglês Interpretação de texto | Reading comprehension , Vocabulário | Vocabulary , Sinônimos | Synonyms ,
Ano: 2016 Banca: PUC - RS Órgão: PUC - RS Prova: PUC - RS - 2016 - PUC - RS - Vestibular - Segundo Semestre - 2º Dia |
Q809530 Inglês


The word “except” (line 23) could be replaced, without a change in its meaning, by
Alternativas
Respostas
3461: B
3462: C
3463: B
3464: B
3465: A
3466: C
3467: C
3468: C
3469: E
3470: D
3471: B
3472: D
3473: E
3474: B
3475: C
3476: A
3477: E
3478: C
3479: B
3480: A
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