Questõesde UFPR 2016

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UFPR 2016 - Inglês - Interpretação de texto | Reading comprehension

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.

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.)
A
Only 1 is correct.
B
Only 1 and 4 are correct.
C
Only 3 and 4 are correct.
D
Only 1, 2 and 3 are correct.
E
Only 2, 3 and 4 are correct.
355addaf-3b
UFPR 2016 - Inglês - Vocabulário | Vocabulary

In the sentence “They dismiss the entire concept because they don’t think a computer…”, the underlined word can be substituted, without losing its meaning, by: 

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.)
A
refuse to accept.
B
affirm once again.
C
compliment.
D
improve the quality of.
E
incorporate.
3558077e-3b
UFPR 2016 - Inglês - Interpretação de texto | Reading comprehension

The text points out that the design of the self-driving car is deliberately attractive because:

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.)
A
Google expects to neutralize their possible competitors.
B
people tend to behave positively towards things that look like alive things.
C
young people enjoy driving attractive brand new models.
D
other drivers might not surpass these autonomous cars on the road.
E
their appearance may help people who suffered accidents overcome their fears.
3555271e-3b
UFPR 2016 - Inglês - Pronome subjetivo | Subjective pronoun, Interpretação de texto | Reading comprehension, Pronomes | Pronouns

The word “they”, in boldface and underlined, in section 3, refers to:

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.)
A
Google’s new self-driving cars.
B
inanimate or animate objects.
C
objects resembling living things.
D
other car drivers.
E
open-road warriors.
355e0954-3b
UFPR 2016 - Inglês - Interpretação de texto | Reading comprehension

Based on the text, it is correct to affirm that the author:

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.)
A
denies the advantages of self-driving vehicles.
B
admits the new type of car will receive severe criticism.
C
wants to buy his mother an autonomous vehicle in the future.
D
was an intern working in Google’s new self-driving vehicle project.
E
believes the new self-driving cars need human support on highways.
3549abca-3b
UFPR 2016 - Inglês - Interpretação de texto | Reading comprehension

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:

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.)
A
1 and 3 only.
B
1, 2 and 4 only.
C
2, 4 and 5 only.
D
3, 4 and 5 only.
E
1, 2, 3 and 5 only.
354c6b57-3b
UFPR 2016 - Inglês - Interpretação de texto | Reading comprehension

According to the author:

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.)
A
elderly human beings tend to drive better than autonomous vehicles.
B
during early tests, many animals and cyclists were hit and hurt by autonomous cars.
C
radar, GPS and 3D laser-mapping are used in Google’s self-driving vehicles.
D
self-driving cars were responsible for 30,000 deaths in the US last year.
E
the new technology proposed by Google for cars has been tested for more than 40 years.
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UFPR 2016 - Matemática - Funções, Equações Exponenciais

Suponha que a quantidade Q de um determinado medicamente no organismo t horas após sua administração possa ser calculada pela fómula:

Q = 15 . (1/10)2t


sendo Q medindo em miligramas. A expressão que fornece o tempo t em função da quantidade de medicamento Q é:

A
t = log√15/Q
B
t = log15/2logQ
C
t = 10√log(Q/15)
D
t =1/2 log Q/15
E
t = log Q2/225
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UFPR 2016 - Matemática - Geometria Analítica, Estudo da Reta

Considere a reta r de equação y = 2x + 1. Qual das retas abaixo é perpendicular à reta r e passa pelo ponto P = (4,2)?

A
y = 1/2 x
B
y = −2x + 10
C
y = − 1/2 x + 5
D
y = −2x
E
y = − 1/2 x + 4
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UFPR 2016 - Matemática - Probabilidade

Um dado comum, com faces numeradas de 1 a 6, é lançado duas vezes, fornecendo dois números a e c, que podem ser iguais ou diferentes. Qual é a probabilidade de a equação ax2 + 4x + c = 0  ter pelo menos uma raiz real? 

A
5/36.
B
1/6.
C
2/9.
D
4/15.
E
1/3.
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UFPR 2016 - Matemática - Funções, Função de 1º Grau, Função de 2º Grau

A respeito da função representada no gráfico ao lado, considere as seguintes afirmativas:


1. A função é crescente no intervalo aberto (4, 6).
2. A função tem um ponto de máximo em x = 1.
3. Esse gráfico representa uma função injetora.
4. Esse gráfico representa uma função polinomial de terceiro grau.

Assinale a alternativa correta.

A
Somente as afirmativas 1 e 2 são verdadeiras.
B
Somente as afirmativas 1 e 3 são verdadeiras.
C
Somente as afirmativas 3 e 4 são verdadeiras.
D
Somente as afirmativas 1, 2 e 4 são verdadeiras.
E
Somente as afirmativas 2, 3 e 4 são verdadeiras.
354f6f32-3b
UFPR 2016 - Inglês - Interpretação de texto | Reading comprehension

Based on the reading, mark the correct alternative.

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.)
A
the author’s mother suffered an accident while on a self-driving car.
B
self-driving vehicles have caused more tragic traffic accidents than cars driven by men.
C
traffic accidents are the main cause of young people’s death around the world.
D
the new Google autonomous car is still too aggressive to be used on open roads.
E
more than 50% of the people who are still at work were impaired in car accidents and are unable to drive.
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UFPR 2016 - Matemática - Análise de Tabelas e Gráficos

O Centro de Estudos, Resposta e Tratamento de Incidentes de Segurança no Brasil (CERT.br) é responsável por tratar incidentes de segurança em computadores e redes conectadas à Internet no Brasil. A tabela ao lado apresenta o número de mensagens não solicitadas (spams) notificadas ao CERT.br no ano de 2015, por trimestre. Qual dos gráficos abaixo representa os dados dessa tabela? 

A


B


C


D


E


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UFPR 2016 - Matemática - Geometria Espacial, Poliedros

A piscina usada nas competições de natação das Olimpíadas Rio 2016 possui as medidas oficiais recomendadas: 50 metros de extensão, 25 metros de largura e 3 metros de profundidade. Supondo que essa piscina tenha o formato de um paralelepípedo retângulo, qual dos valores abaixo mais se aproxima da capacidade máxima de água que essa piscina pode conter?

A
37.500 litros.
B
375.000 litros.
C
3.750.000 litros.
D
37.500.000 litros.
E
375.000.000 litros.
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UFPR 2016 - Matemática - Aritmética e Problemas, Frações e Números Decimais

Rafaela e Henrique participaram de uma atividade voluntária que consistiu na pintura da fachada de uma instituição de caridade. No final do dia, restaram duas latas de tinta idênticas (de mesmo tamanho e cor). Uma dessas latas estava cheia de tinta até a metade de sua capacidade e a outra estava cheia de tinta até 3/4 de sua capacidade. Ambos decidiram juntar esse excedente e dividir em duas partes iguais, a serem armazenadas nessas mesmas latas. A fração que representa o volume de tinta em cada uma das latas, em relação à sua capacidade, após essa divisão é:

A
1/3.
B
5/8.
C
5/6.
D
4/3.
E
5/2.
352ca2cc-3b
UFPR 2016 - Química - Química Orgânica, Cadeias Carbônicas: Características e Classificações do Átomo do Carbono, Tipos de Ligação e Hibridação. Tipos de Cadeias Carbônicas e Fórmulas. Séries: Homóloga, Isóloga e Heteróloga.

A qualidade de um combustível é caracterizada pelo grau de octanagem. Hidrocarbonetos de cadeia linear têm baixa octanagem e produzem combustíveis pobres. Já os alcanos ramificados são de melhor qualidade, uma vez que têm mais hidrogênios em carbonos primários e as ligações C-H requerem mais energia que ligações C-C para serem rompidas. Assim, a combustão dos hidrocarbonetos ramificados se torna mais difícil de ser iniciada, o que reduz os ruídos do motor. O isoctano é um alcano ramificado que foi definido como referência, e ao seu grau de octanagem foi atribuído o valor 100. A fórmula estrutural (forma de bastão) do isoctano é mostrada ao lado.
Qual é o nome oficial IUPAC desse alcano? 

A
2,2,4-trimetilpentano.
B
2-metil-4-terc-butil-pentano.
C
1,1,1,3,3-pentametilpropano.
D
1-metil-1,3-di-isopropilpropano.
E
1,1,1-trimetil-4,4-dimetil-pentano.
352f697b-3b
UFPR 2016 - Matemática - Áreas e Perímetros, Triângulos

Em um triângulo retângulo, o maior e o menor lado medem, respectivamente, 12 cm e 4 cm. Qual é a área desse triângulo?

A
4√2 cm2 .
B
16 cm2 .
C
8√2 cm2 .
D
16√2 cm2 .
E
24 cm2 .
353b2bef-3b
UFPR 2016 - Matemática - Aritmética e Problemas, Porcentagem

O gráfico ao lado representa o consumo de bateria de um celular entre as 10 h e as 16 h de um determinado dia. Supondo que o consumo manteve o mesmo padrão até a bateria se esgotar, a que horas o nível da bateria atingiu 10%?

A
18 h.
B
19 h.
C
20 h.
D
21 h.
E
22 h.
3529e936-3b
UFPR 2016 - Química - Principais Funções Orgânicas: Funções Oxigenadas: Álcool, Fenol e Enol., Química Orgânica, Principais Funções Orgânicas: Funções Oxigenadas: Cetona, Aldeído, Éter, Éster, Ácido Carboxílico, Anidrido Orgânico e Cloreto de Ácido.

Poucos meses antes das Olimpíadas Rio 2016, veio a público um escândalo de doping envolvendo atletas da Rússia. Entre as substâncias anabolizantes supostamente utilizadas pelos atletas envolvidos estão o turinabol e a mestaterona. Esses dois compostos são, estruturalmente, muito similares à testosterona e utilizados para aumento da massa muscular e melhora do desempenho dos atletas.

Quais funções orgânicas oxigenadas estão presentes em todos os compostos citados?

A
Cetona e álcool.
B
Fenol e éter.
C
Amida e epóxido.
D
Anidrido e aldeído.
E
Ácido carboxílico e enol.
352141af-3b
UFPR 2016 - Química - Propriedades Químicas dos Compostos Orgânicos: Número de Oxidação do Carbono. Efeitos Eletrônicos. Caráter Ácido-Base., Química Orgânica

Recentemente, foram realizados retratos genéticos e de habitat do mais antigo ancestral universal, conhecido como LUCA. Acredita-se que esse organismo unicelular teria surgido a 3,8 bilhões de anos e seria capaz de fixar CO2, convertendo esse composto inorgânico de carbono em compostos orgânicos.
Para converter o composto inorgânico de carbono mencionado em metano (CH4), a variação do NOX no carbono é de:

A
1 unidade.
B
2 unidades.
C
4 unidades. 
D
6 unidades.
E
8 unidades.