Questões de Vestibular de Inglês - Tradução | Translation

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Ano: 2018 Banca: UEG Órgão: UEG Prova: UEG - 2018 - UEG - Vestibular - Caderno de Provas - Inglês |
Q1302685 Inglês
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Disponível em: <http://www.bosch-presse.de/pressportal/de/en/see-boschs-contribution-to-industry-4-0-42895.html>. Acesso em: 23 fev. 2018. (Adaptado)
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Ano: 2018 Banca: UEG Órgão: UEG Prova: UEG - 2018 - UEG - Vestibular - Direito |
Q1302501 Inglês

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Lawyers could be the next profession to be replaced by computers
    Technology is often blamed for destroying traditional working-class jobs in sectors like manufacturing and retail. But blue collar jobs aren't the only ones at risk on an imminent future: white collar jobs are going to be affected by technology as well.
    The legal profession is on the cusp of a transformation in which artificial-intelligence (AI) platforms might dramatically affect how legal work gets done. Those platforms will mine documents for evidence that will be useful in litigation, to review and create contracts, raise red flags within companies to identify potential fraud and other misconduct or do legal research and perform due diligence before corporate acquisitions. Those are all tasks that — for the moment at least — are largely the responsibility of flesh-and-blood attorneys.
    Increasing automation of the legal industry promises to increase efficiency and save client’s money, but could also cut jobs in the sector as the technology becomes responsible for tasks currently performed by humans.
    Advocates of AI, however, argue there could actually be an increase in the sector's labor force as the technology drives costs down and makes legal services more affordable to greater numbers of people. It's like the beginning for a future changing in legal profession with AI-powered platform which can perform almost all mechanical work such as creating a new contract or reviewing it for clients and companies.

What machines do better than people
    One question raised by the introduction of AI legal platforms is how well they do their jobs compared to a flesh-and-blood lawyer, who has years of experience under his belt. Supporters of this new technology defend that AI platform can search documents for relevant information to lawsuits and other litigation as well as experienced lawyers. Here are some of AI advantages:
    Keywords: human beings are not very good at keyword searches. There's a fallacy that human beings looking at documents is the gold standard which cannot be, because human may miss things.
    Database: the explosion in the amount of electronic data generated today makes it hard for human workers to keep up. This so much more data nowadays need these technologies find relevant material for lawyers. Also the AI could not just look at the text of a document or email, it can look at the tone of the conversation, who sent it, to check if the item should be flagged for review in litigation.
    Restless: computers don't get tired, they don't get hungry, they don't sleep in and all of the things that are biological problems that can happen to a human being can't happen to computers.
    An example of this technology is ROSS - it is a legal research platform based on IBM's cognitive computing system Watson. This technology is being used by a number of law firms, which state that the legal sector has being changing along the years. Firms, particularly larger ones, begin to see the advantage of AI, and their legal future possibly will completely change, with lawyers working from office, home office and other possibilities.
Disponível em: <https://www.cnbc.com/2017/02/17/lawyers-could-be-replaced-by-artificial-intelligence.html>  
 Acesso em: 08 maio 2018. (Adaptado)
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Ano: 2018 Banca: UEG Órgão: UEG Prova: UEG - 2018 - UEG - Vestibular - Língua Inglesa (a Distância) |
Q1302302 Inglês
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Global warming is intensifying El Niño weather

    As humans put more and more heat-trapping gases into the atmosphere, the Earth warms. And the warming is causing changes that might surprise us. Not only is the warming causing long-term trends in heat, sea level rise, ice loss, etc.; it’s also making our weather more variable. It’s making otherwise natural cycles of weather more powerful.
    Perhaps the most important natural fluctuation in the Earth’s climate is the El Niño process. El Niño refers to a short-term period of warm ocean surface temperatures in the tropical Pacific, basically stretching from South America towards Australia. When an El Niño happens, that region is warmer than usual. If the counterpart La Niña occurs, the region is colder than usual. Often times, neither an El Niño or La Niña is present and the waters are a normal temperature. This would be called a “neutral” state.
    The ocean waters switch back and forth between El Niño and La Niña every few years. Not regularly, like a pendulum, but there is a pattern of oscillation. And regardless of which part of the cycle we are in (El Niño or La Niña), there are consequences for weather around the world. For instance, during an El Niño, we typically see cooler and wetter weather in the southern United States while it is hotter and drier in South America and Australia. It’s really important to be able to predict El Niño/La Niña cycles in advance. It’s also important to be able to understand how these cycles will change in a warming planet.
        El Niño cycles have been known for a long time. Their influence around the world has also been known for almost 100 years. Having observed the effects of El Niño for a century, scientists had the perspective to understand something might be changing.
    The relationship between regional climate and the El Niño/La Niña status in climate model simulations of the past and future. It was found an intensification of El Niño/La Niña impacts in a warmer climate, especially for land regions in North America and Australia. Changes between El Niño/La Niña in other areas, like South America, were less clear. The intensification of weather was more prevalent over land regions.
    And this conclusion can be extended to many other situations around the planet. Human pollution is making our Earth’s natural weather switch more strongly from one extreme to another. It’s a weather whiplash that will continue to get worse as we add pollution to the atmosphere.
        Fortunately, every other country on the planet (with the exception of the US leadership) understands that climate change is an important issue and those countries are taking action. It isn’t too late to change our trajectory toward a better future for all of us. But the time is running out. The Earth is giving us a little nudge by showing us, via today’s intense weather, what tomorrow will be like if we don’t take action quickly.
Disponível em: <https://www.theguardian.com/environment/climate-consensus-97-per-cent/2018/aug/29/global-warming-is-intensifying-el-nino-weather>. Acesso em: 19 set. 2018. (Adaptado). 

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Ano: 2018 Banca: UEG Órgão: UEG Prova: UEG - 2018 - UEG - Vestibular - Língua Inglesa |
Q1301487 Inglês
Leia o texto a seguir para responder à questão.

Global warming is intensifying El Niño weather
    As humans put more and more heat-trapping gases into the atmosphere, the Earth warms. And the warming is causing changes that might surprise us. Not only is the warming causing long-term trends in heat, sea level rise, ice loss, etc.; it’s also making our weather more variable. It’s making otherwise natural cycles of weather more powerful.
    Perhaps the most important natural fluctuation in the Earth’s climate is the El Niño process. El Niño refers to a short-term period of warm ocean surface temperatures in the tropical Pacific, basically stretching from South America towards Australia. When an El Niño happens, that region is warmer than usual. If the counterpart La Niña occurs, the region is colder than usual. Often times, neither an El Niño or La Niña is present and the waters are a normal temperature. This would be called a “neutral” state.
    The ocean waters switch back and forth between El Niño and La Niña every few years. Not regularly, like a pendulum, but there is a pattern of oscillation. And regardless of which part of the cycle we are in (El Niño or La Niña), there are consequences for weather around the world. For instance, during an El Niño, we typically see cooler and wetter weather in the southern United States while it is hotter and drier in South America and Australia.
    It’s really important to be able to predict El Niño/La Niña cycles in advance. It’s also important to be able to understand how these cycles will change in a warming planet.
    El Niño cycles have been known for a long time. Their influence around the world has also been known for almost 100 years. Having observed the effects of El Niño for a century, scientists had the perspective to understand something might be changing.
    The relationship between regional climate and the El Niño/La Niña status in climate model simulations of the past and future. It was found an intensification of El Niño/La Niña impacts in a warmer climate, especially for land regions in North America and Australia. Changes between El Niño/La Niña in other areas, like South America, were less clear. The intensification of weather was more prevalent over land regions.
    And this conclusion can be extended to many other situations around the planet. Human pollution is making our Earth’s natural weather switch more strongly from one extreme to another. It’s a weather whiplash that will continue to get worse as we add pollution to the atmosphere.
    Fortunately, every other country on the planet (with the exception of the US leadership) understands that climate change is an important issue and those countries are taking action. It isn’t too late to change our trajectory toward a better future for all of us. But the time is running out. The Earth is giving us a little nudge by showing us, via today’s intense weather, what tomorrow will be like if we don’t take action quickly.
Disponível em: <https://www.theguardian.com/environment/climate-consensus-97-per-cent/2018/aug/29/global-warming-is-intensifying-el-nino-weather>. Acesso em: 19 set. 2018. (Adaptado).
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Ano: 2019 Banca: UEG Órgão: UEG Prova: UEG - 2019 - UEG - Vestibular - Medicina - Inglês |
Q1300892 Inglês

Leia o texto a seguir para responder à questão. 

Artificial intelligence and the future of medicine

Washington University researchers are working to develop artificial intelligence (AI) systems for health care, which have the potential to transform the diagnosis and treatment of diseases, helping to ensure that patients get the right treatment at the right time.
In health care, artificial intelligence relies on the power of computers to sift through and make sense of reams of electronic data about patients—such as their ages, medical histories, health status, test results, medical images, DNA sequences, and many other sources of health information. AI excels at the complex identification of patterns in these reams of data, and it can do this at a scale and speed beyond human capacity. The hope is that this technology can be harnessed to help doctors and patients make better health-care decisions.


Where are the first places we will start to see AI entering medical practice?

One of the first applications of AI in patient care that we currently see is in imaging, to help improve the diagnosis of cancer or heart problems, for example. There are many types of imaging tests —X-rays, CT scans, MRIs and echocardiograms. But the underlying commonality in all those imaging methods is huge amounts of high-quality data. For AI to work well, it's best to have very complete data sets—no missing numbers, so to speak—and digital images provide that. Plus, the human eye is often blind to some of the patterns that could be present in these images—subtle changes in breast tissue over several years of mammograms, for example. There has been some interesting work done in recognizing early patterns of cancer or early patterns of heart failure that even a highly trained physician would not see.
In many ways, we already have very simple forms of AI in the clinic now. We've had tools for a long time that identify abnormal rhythms in an EKG, for example. An abnormal heartbeat pattern triggers an alert to draw a clinician's attention. This is a computer trying to replicate a human being understanding that data and saying, "This doesn't look normal, you may need to address this problem." Now, we have the capacity to analyze much larger and more complex sources of data, such as the entire electronic health record and perhaps even data pulled from daily life, as more people track their sleep patterns or pulse rates with wearable devices, for example.


What effect will this have on how doctors practice medicine?

It's important to emphasize that these tools are never going to replace clinicians. These technologies will provide assistance, helping care providers see important signals in massive amounts of data that would otherwise remain hidden. But at the same time, there are levels of understanding that computers still can't and may never replicate. To take a treatment recommendation from an AI, even an excellent recommendation, and decide if it's right for the patient is inherently a human decision-making process. What are the patient's preferences? What are the patient's values? What does this mean for the patient's life and for his or her family? That's never going to be an AI function. As these AI systems slowly emerge, we may start to see the roles of physicians changing—in my opinion, in better ways. Doctors' roles may shift from being data collectors and analyzers to being interpreters and councilors for patients as they try to navigate their health. 
Right now, the challenges we need to address as we try to bring AI into medical practice include improving the quality of the data that we feed into AI systems, developing ways to evaluate whether an AI system is actually better than standard of care, ensuring patient privacy and making sure not only that AI doesn't disrupt clinical work flow but in fact improves it. But if doctors do their jobs right and build these systems well, much of what we have described will become so ingrained in the system, people won't even refer to it separately as informatics or AI. It will just be medicine. 

Disponível em: https://medicalxpress.com/news/2018-12-artificial-intelligence-future-medicine.html. Acesso em: 02 maio 2019.
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Respostas
51: E
52: E
53: C
54: A
55: D