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301Q947251 | Inglês, Medicina, UEG, UEG, 2018

Texto associado.

Leia o texto a seguir para responder à questão.


Digitizing Healthcare: How Technology Is Improving Medical Care

by Tricia Hussung


A wide variety of digital innovations are revolutionizing healthcare — and technology in medicine is here to stay. How are these changes impacting the delivery of care, and what skills are needed to succeed in this bold new world? It’s no secret that, as a society, technology has become a part of our everyday lives. In fact, almost 60 percent of American adults own a smartphone, and 42 percent of that same population (American adults) owns a tablet computer. Though technology has been permeating almost every aspect of our lives, until recent years the medical field has been largely unaffected by the rapid pace of technological innovation that is characteristic of the Digital Age. However, this is changing.


This ubiquity of technology is beginning to extend into the medical field. Advances in medical technology are changing medicine by giving physicians more information — as well as better, more specific data.


New Medical Technology: Innovations

So just what are these new advances in technology? The following are just a few of the many innovations that have occurred in medical technology over thepast yearalone. Some of these leading technologies are still being developed, while others are slowly being introduced into mainstream medical practice.


  • The modern hospital experience: Several medical technology companies are looking to update hospital stays to keep pace with the needs of modern patients. To more easily integrate changing technology, these new rooms would feature interchangeable parts that are easily adapted to the specific situation of a patient. The seamless design would have a minimal impact on facility operations while increasing patient comfort and connectivity.
  • Surgery simulation: The Roswell Park Cancer Institute has partnered with the University of Buffalo’s School of Engineering and Applied Sciences to create the Robotic Surgery Simulator (RoSS). This innovation allows real-world views of surgeries while eliminating the need for a live environment to train aspiring surgeons. It gives these medical professionals the space to experiment in a simulated environment, rather than risking making mistakes on real patients.
  • Cloud-based data and software: Applications like referralMD help healthcare providers create referrals digitally and reach millions of patients and providers who are in search of treatment options. The current, paper method of referrals causes almost 50 percent of patient referrals to never actually result in doctor’s visits. This present gap in care “causes patients to lose treatment (and) the healthcare facility to lose money.” Software innovations like these are part of the relatively new field of health informatics, which aims to collect, store, analyze and present health data in a digital format.

With widespread innovations like these affecting patient care practices, it is not surprising that the way medical records and information are stored and shared is changing as well. These technological advancements are costeffective and improve the ability of medical professionals to diagnose and treat health issues of all kinds. Two of the main changes that are revolutionizing the future of healthcare are electronic medical records and health information exchange. Future won´t be the same for medical field. Are you ready for what is coming?


Disponível em:<https://online.king.edu/news/digitizing-healthcare-how-technology-is-improving-medical-care/>. Acesso em: 09 maio 2018. (Adaptado).



Considering the ideas expressed in the text, medical practice
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302Q947257 | Literatura, Escolas Literárias, Medicina, UEG, UEG, 2018

O que a alternância de elementos visuais verticais, cujo formato lembra bumerangues, confere à pintura apresentada?
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303Q947267 | História e Geografia de Estados e Municípios, Medicina, UEG, UEG, 2018

Leia o texto a seguir.

Foi uma grande onda de protestos que teve início com manifestações estudantis para pedir reformas no setor educacional. O movimento cresceu tanto que evoluiu para uma greve geral de trabalhadores que balançou o governo do então presidente da França, Charles De Gaulle.

Disponível em:<https://mundoestranho.abril.com.br/historia/o-que-foi-o-movimento-de-maio-de-68-na-franca/>. Acesso em: 07 maio 2018.

Em 2018 os movimentos de maio de 68 completam cinquenta anos. A pressão que estudantes e trabalhadores exerceram sobre o governo francês foi tamanha que De Gaulle convocou eleições para o mês de junho. O resultado dessa manobra política foi a

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304Q947025 | Inglês, Inglês, UEG, UEG, 2019

Texto associado.

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.
De acordo com o texto, em termos de sentido, verifica-se que o trecho
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305Q947052 | Biologia, Problemas ambientais e medidas de conservação, Inglês, UEG, UEG, 2019

A Estratégia Global para a Conservação das Plantas (GSPC) foi estabelecida pela Conferência das Partes em 2002 e estabeleceu uma série de tarefas aos diferentes países. Para cumprimento desta estratégia, o Brasil se comprometeu em preparar a Lista de Espécies da Flora do Brasil (2008-2015) e a Flora do Brasil 2020 no desenvolvimento do programa Reflora, visto que nosso país possui mais de 46 mil espécies de plantas, algas e fungos, representando um dos países com maior biodiversidade no planeta, sendo um participante chave na GSPC. Dentre as diferentes importâncias da publicação da Flora do Brasil em 2020 destaca-se:
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306Q947108 | Inglês, Inglês, UEG, UEG, 2018

Texto associado.
Leia o texto a seguir para responder à questão.

Who's driving?Autonomous cars may be entering the most dangerous phase

Autopilot controls are not yet fully capable of functioning without human intervention – but they’re good enough to lull us into a false sense of security.
When California police officers approached a Tesla stopped in the centre of a five-lane highway outside San Francisco last week, they found a man asleep at the wheel. The driver, who was arrested on suspicion of drunk driving, told them his car was in “autopilot”, Tesla’s semi-autonomous driver assist system.
 In a separate incident, firefighters in Culver City reported that a Tesla vehicle parked at the rear of their fire truck as it attended an accident on the freeway. Again, the driver said the vehicle was in autopilot.
The oft-repeated promise of driverless technology is that it will make the roads safer by reducing human error, the primary cause of accidents. However, those vehicles have a long way to go before they can eliminate the drivers.
However, research has shown that drivers get lulled into a false sense of security to the point where their minds and gazes start to wander away from the road. People become distracted or preoccupied with their smartphones. So when the car encounters a situation where the human needs to intervene, the driver can be slow to react.
During tests the IIHS recorded a Mercedes having problems when the lane on the highway forked in two. The radar system locked onto the right-hand exit lane when the driver was trying to go straight.
Concern over this new type of distracted driving is forcing engineers to introduce additional safety features to compensate. For example, GM has introduced eye-tracking technology to check the driver’s eyes are on the road while Tesla drivers can be locked out of autopilot if they ignore warnings to keep their hands on the steering wheel.
In spite of these problems, Tesla’s CEO, Elon Musk, remains bullish about his company’s autonomous technology, even suggesting that by 2019 drivers would be able to sleep in their cars – presumably without being arrested by highway patrol officers.

Disponível em: <https://www.theguardian.com/technology/2018/jan/24/self-driving-cars-dangerous-period-false-security>. Acesso em: 23 fev. 2018. (Adaptado).
Considering to the information expressed in the text, autonomous cars
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307Q947111 | Matemática, Inglês, UEG, UEG, 2018

Numa pesquisa com idosos, perguntou-se se eles utilizam o cartão de crédito e, ainda, se têm alguma dívida. Todos os idosos entrevistados nessa pesquisa responderam dizendo sim ou não a cada pergunta. Desses idosos, 20 disseram utilizar o cartão de crédito; 70 disseram ter alguma dívida; 15 responderam utilizar o cartão de crédito e ter alguma dívida; 40 disseram não utilizar o cartão de crédito e não ter nenhuma dívida. O número de idosos entrevistados nessa pesquisa foi de
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308Q947143 | Raciocínio Lógico, Ensino á Distância, UEG, UEG, 2019

Em determinado pátio estão estacionados carros e motos, totalizando 23 veículos e 84 rodas. Nessas condições, o número de carros e motos é, respectivamente:
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309Q947023 | Inglês, Inglês, UEG, UEG, 2019

Texto associado.

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.
Considering the ideas expressed in the text, artificial intelligence (AI) systems
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310Q687183 | Atualidades, Guerras, Língua Inglesa, UEG, UEG, 2017

. Acesso em: 18 ago 2017. A informação do texto de que o acidente radiológico de Goiânia é o maior em área urbana do mundo é">

Leia o texto a seguir.

Há 30 anos, Goiânia esteve nos noticiários do mundo todo devido ao acidente com o Césio-137. O desastre começou no dia 13 de setembro de 1987, e é considerado, até hoje, o maior acidente radiológico em área urbana do mundo.

Disponível em:<http://Programamateriapri.wixsite.com/matéria-prima/single-post/2017/04/23/30-anos-do-Acidente-com-Césio-137-em-Goiânia>. Acesso em: 18 ago 2017.

A informação do texto de que o acidente radiológico de Goiânia é o maior em área urbana do mundo é

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311Q948853 | História e Geografia de Estados e Municípios, Língua Inglesa, UEG, UEG, 2017

Leia o texto a seguir.

Para justificar a ambição grega de hegemonia universal, Aristóteles (384 - 322 a. C.) formulou a hipótese de que certas raças são, por natureza, livres desde o berço, enquanto outras são escravas.

COMAS, Juan. Os mitos raciais. Raça e Ciência. São Paulo: Perspectiva, 1960. v. I. p. 13.

Essa filosofia racial foi incorporada às campanhas militares de um grande general e líder político que foi aluno de Aristóteles. Seu nome era

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312Q680658 | Arquivologia, Interpretação de texto Reading comprehension, Processo Seletivo UEG, UEG, UEG, 2017

Texto associado.
Leia com atenção o texto a seguir para responder à questão.

'Post-truth' named word of the year by Oxford Dictionaries

In the era of Donald Trump and Brexit, Oxford Dictionaries has declared “post-truth” to be its international word of the year.

Defined by the dictionary as an adjective “relating to or denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief”, editors said that use of the term “post-truth” had increased by around 2,000% in 2016 compared to last year. The spike in usage, it said, is “in the context of the EU referendum in the United Kingdom and the presidential election in the United States”.

Contenders for the title had included the noun “alt-right”, shortened from the fuller form “alternative right” and defined as “an ideological grouping associated with extreme conservative or reactionary viewpoints, characterised by a rejection of mainstream politics and by the use of online media to disseminate deliberately controversial content”. First used in 2008, its use “surged” this spring and summer, said the dictionary, with 30% of usage in August alone.

But the increase in usage of post-truth saw the term eventually emerge ahead of the pack. “We first saw the frequency really spike this year in June with buzz over the Brexit vote and Donald Trump securing the Republican presidential nomination. Given that usage of the term hasn’t shown any signs of slowing down, I wouldn’t be surprised if post-truth becomes one of the defining words of our time,” predicted Oxford Dictionaries president Casper Grathwohl.

“It’s not surprising that our choice reflects a year dominated by highly-charged political and social discourse. Fuelled by the rise of social media as a news source and a growing distrust of facts offered up by the establishment, post-truth as a concept has been finding its linguistic footing for some time.”

Disponível em:<https://www.theguardian.com/books/2016/nov/15/post-truth-named-word-of-the-year-by-oxford-dictionaries>.Acesso em: 21 fev. 2017. (Adaptado).
Considerando-se a estrutura linguística do texto, verifica-se que
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313Q680678 | Matemática, Processo Seletivo UEG, UEG, UEG, 2017

A escala se define como
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314Q947190 | Geografia, Língua Inglesa em Rede, UEG, UEG, 2018

Leia o texto a seguir.

Na Mesopotâmia distintos povos desenvolveram as mais antigas civilizações de que se tem conhecimento. Isso estaria vinculado ao fato de essa região ter sido uma das primeiras do mundo onde ocorreu a chamada Revolução Neolítica.

COTRIN, G. História Global. São Paulo: Saraiva, 2013. p. 58.


A expressão “Revolução Neolítica” foi cunhada pelo arqueólogo Gordon Childe para designar

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315Q678652 | Raciocínio Lógico, Inglês, UEG, UEG, 2019

Para a inauguração da Sorveteria “Picolé Gelado”, foi feita a seguinte promoção:

PICOLÉ GELADO

PROMOÇÃO DE INAUGURAÇÃO

Dia: 12/12/18

Moças R$ 5,00 e Rapazes R$ 7,00

Válido até às 15 horas



Após o encerramento da promoção, verificou-se que 312 pessoas haviam comprado os ingressos e a arrecadação total foi de R$ 1.880,00. O número de moças e de rapazes que compraram os ingressos nesse dia foi, respectivamente, igual a

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316Q678655 | Matemática, Função de 2 Grau ou Função Quadrática e Inequações, Inglês, UEG, UEG, 2019

As raízes da função quadrática y = ax2 + bx + c são -1 e 3. Sabendo-se que o vértice é o ponto (1, -4 ), os valores de a, b e c são, respectivamente:
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317Q954634 | Legislação Estadual, Lei nº 22816 de 2024, Docente, UEG, UEG, 2025

No Plano de Carreira e Remuneração do cargo de Docente de Ensino Superior da Universidade Estadual de Goiás, há previsão de licença para tratamento de saúde em que é inaplicável a suspensão ou o interrompimento do período aquisitivo da licença para aprimoramento e inovação do docente de ensino superior na instituição. Um motivo previsto é:
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318Q685585 | Português, Interpretação de Textos, Medicina, UEG, UEG, 2018

Texto associado.

Leia o soneto a seguir para responder à questão


Tome, Dr., esta tesoura, e... corte
Minha singularíssima pessoa.
Que importa a mim que a bicharia roa
Todo o meu coração, depois da morte?!
Ah! Um urubu pousou na minha sorte!
Também, das diatomáceas da lagoa
A criptógama cápsula se esbroa
Ao contacto de bronca destra forte!
Dissolva-se, portanto, minha vida
Igualmente a uma célula caída
Na aberração de um óvulo infecundo;
Mas o agregado abstrato das saudades
Fique batendo nas perpétuas grades
Do último verso que eu fizer no mundo!


ANJOS, Augusto dos. Budismo moderno. In: Eu e outros poemas. 30. ed. Rio de janeiro: Livraria São José, 1965. p. 84.

Tem-se, no soneto apresentado, uma sugestão de que
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319Q947264 | Física, Eletricidade, Medicina, UEG, UEG, 2018

Em uma tubulação instalada na direção horizontal, um líquido se desloca com uma velocidade constante de 30,0 cm/s quando passa por um ponto cujo raio da secção transversal vale 12,0 cm. Considere que o atrito entre o líquido e o tubo seja desprezível. Qual será, em porcentagem, o aumento da velocidade do líquido, em outro ponto, cujo raio da secção transversal seja a metade do raio no ponto anterior?
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320Q947037 | Conhecimentos Gerais, Política, Inglês, UEG, UEG, 2019

Leia o texto a seguir.
A eleição do presidente da república por via direta, a primeira em vinte e nove anos, com um eleitorado descontente, poderia levar a um resultado desfavorável aos interesses da elite. Inscreveram-se 24 candidatos cujas campanhas realizaram grandes comícios, ocuparam horários políticos gratuitos na televisão e no rádio, influenciando decisivamente na formação da opinião dos eleitores.
FIUSA, L. P. L.; DOMINGUES, J. E. História: o Brasil em foco. São Paulo: FTD, 1996. p. 391.
As eleições de 1989 confirmaram uma tendência verificada nos pleitos para o executivo municipal do ano 1988, cujas eleições foram marcadas
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