Questões de Concursos Interpretação de texto Reading comprehension

Climate change poses significant challenges to cattle farming, a sector vital to global food security. Among the most pressing concerns is the increasing frequency and intensity of droughts. Reduced rainfall diminishes pasture quality and availability, limiting feed for livestock and increasing water scarcity. This can lead to decreased animal growth rates, reduced milk production, and increased mortality rates. Moreover, prolonged droughts can contribute to desertification, shrinking available grazing land and forcing farmers to adopt costly alternative feeding strategies.

Beyond drought, other climate-related impacts include heat stress, which can significantly impact animal health and productivity. Rising temperatures can exacerbate heat stress, leading to decreased feed intake, reduced fertility, and increased mortality in livestock. Furthermore, extreme weather events, such as heavy rainfall and flooding, can cause infrastructure damage, contaminate water sources, and lead to the loss of livestock.

The cattle farming sector itself contributes to climate change through greenhouse gas emissions, primarily methane produced during animal digestion and nitrous oxide from manure management. Deforestation for pasture expansion also releases significant amounts of carbon dioxide.

To address these challenges, a multi-pronged approach is crucial.

• Genetic selection: Breeding programs focused on developing drought-resistant livestock breeds are vital. and heat-tolerant

• Sustainable feeding strategies: Implementing precision feeding techniques, improving feed efficiency, and exploring alternative drought-resistant forage livestock resilience. feed sources, varieties, such as can enhance

• Integrated farming systems: Integrating crop and livestock production, such as through agroforestry systems, can improve soil health, enhance water retention, and reduce greenhouse gas emissions.

• Technological innovations: Utilizing technologies such as precision livestock farming, remote sensing for pasture monitoring, and renewable energy sources can improve resource efficiency and redu

Furthermore, strong policy support, including incentives for sustainable farming practices, investments in research and development, and improved access to climate information services, are essential for the long-term sustainability of the cattle farming sector.

Addressing the challenges posed by climate change requires a collaborative effort involving farmers, researchers, policymakers, and consumers. By embracing innovative solutions, prioritizing sustainable practices, and fostering a collective understanding of the importance of climate-resilient livestock production, we can ensure a future when this vital sector continues to thrive while minimizing its environmental impact.

Internet:<conafer.org.br> (adapted).

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Abstract

Over the past few decades, South Korean culture has gained popularity worldwide. Since the 1990s, government-led cultural policies have transitioned from focusing on economic strategy to national branding and soft power and have had a positive impact on the domestic ecosystem of cultural industry and contributed to promoting South Korea abroad. There are three aspects contributing to the development of South Korean soft power—the successful history with economic development and democratization, the development of creative content that led to global competitiveness due to the compressed growth experience and the limited domestic market, and the development of digital technology, especially the change in the media environment. However, this increased soft power is still limited as a tool to handle problems facing South Korea, mainly because of the nation’s geopolitical situation. South Korea should pay more attention to active participation in specific global agendas— especially in development and cooperation, emerging technology, and human rights issues. As a beneficiary of the existing liberal international order, South Korea achieved a prosperous economy and democracy. This aspect provides a cornerstone upon which to build South Korean cultural resources and promote them beyond its borders. South Korea should contribute creating public goods through its active engagement and leadership on various global agendas. This dedication to the international community ultimately benefits South Korea in the long run.

KIM, Minsung. The Growth of South Korean Soft Power and Its Geopolitical Implications. Disponível em: https://www.airuniversity.af.edu/JIPA/Display/Article/3212634/the-growth-ofsouth-korean-soft-power-and-its-geopolitical-implications/. Acesso em: 12 ago. 2024. Adaptado.

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Are functional and situational language the same thing?

The two labels represent different ways of organising this kind of social language. Functional language comprises expressions that do different things, for example: make a request, invite someone to do something or suggest something. Situational language comprises expressions we use in specific situations, for example: at a restaurant, shopping for clothes or asking for tourist information.

Clearly, there is overlap between the two. In the situation of a doctor’s appointment, different functions will be used. The patient makes a request at a doctor’s appointment, the doctor invites the patient into their consulting room and gives advice on dealing with the medical problem. It is important that you, the teacher, know the primary focus of the lesson. Is it to present and practise expressions associated with a particular function, or to present and practise language related to a specific situation?

THAINE, Craig. Key considerations for teaching functional/situational language. Disponível em: https://www.cambridge.org/elt/blog/2021/11/24/teachingfunctional-situational-language/. Acesso em: 11 jul. 2024. Adaptado.

Read the excerpt to answer questions 26 to 28.

It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to heaven, we were all going direct the other way - in short, the period was so far like the present period, that some of its noisiest authorities insisted on its being received, for good or for evil, in the superlative degree of comparison only.

― Charles Dickens

TEXT 1

What do AI chatbots really mean for students and cheating?

October 31, 2023 By

Carrie Spector

The launch of ChatGPT and other artificial intelligence (AI) chatbots has triggered an alarm for many educators, who worry about students using the technology to cheat by passing its writing off as their own. But two Stanford researchers say that concern is misdirected, based on their ongoing research into cheating among U.S. high school students before and after the release of ChatGPT.

Here, Lee and Pope discuss the state of cheating in U.S. schools, what research shows about why students cheat, and their recommendations for educators working to address the problem.

What do we know about how much students cheat?

Pope: We know that cheating rates have been high for a long time. At Challenge Success we’ve been running surveys and focus groups at schools for over 15 years, asking students about different aspects of their lives — the amount of sleep they get, homework pressure, extracurricular activities, family expectations, things like that — and also several questions about different forms of cheating.

For years, long before ChatGPT hit the scene, some 60 to 70 percent of students have reported engaging in at least one “cheating” behavior during the previous month. That percentage has stayed about the same or even decreased slightly in our 2023 surveys, when we added questions specific to new AI technologies, like ChatGPT, and how students are using it for school assignments.

So AI isn’t changing how often students cheat — just the tools that they’re using?

Lee: The most prudent thing to say right now is that the data suggest, perhaps to the surprise of many people, that AI is not increasing the frequency of cheating. This may change as students become increasingly familiar with the technology, and we’ll continue to study it and see if and how this changes. But I think it’s important to point out that, in Challenge Success’ most recent survey, students were also asked if and how they felt an AI chatbot like ChatGPT should be allowed for school-related tasks. Many said they thought it should be acceptable for “starter” purposes, like explaining a new concept or generating ideas for a paper. But the vast majority said that using a chatbot to write an entire paper should never be allowed. So this idea that students who’ve never cheated before are going to suddenly run amok and have AI write all of their papers appears unfounded. What would you suggest to school leaders who are concerned about students using AI chatbots?

Pope: Even before ChatGPT, we could never be sure whether kids were getting help from a parent or tutor or another source on their assignments, and this was not considered cheating. Kids in our focus groups are wondering why they can't use ChatGPT as another resource to help them write their papers — not to write the whole thing word for word, but to get the kind of help a parent or tutor would offer. We need to help students and educators find ways to discuss the ethics of using this technology and when it is and isn't useful for student learning.

Lee: There’s a lot of fear about students using this technology. Schools have considered putting significant amounts of money in AI-detection software, which studies show can be highly unreliable. Some districts have tried blocking AI chatbots from school wifi and devices, then repealed those bans because they were ineffective. AI is not going away. Along with addressing the deeper reasons why students cheat, we need to teach students how to understand and think critically about this technology. For starters, at Stanford we’ve begun developing free resources to help teachers bring these topics into the classroom as it relates to different subject areas. We know that 3 teachers don’t have time to introduce a whole new class, but we have been working with teachers to make sure these are activities and lessons that can fit with what they’re already covering in the time they have available.

I think of AI literacy as being akin to driver’s education: We’ve got a powerful tool that can be a great asset, but it can also be dangerous. We want students to learn how to use it responsibly.

Available from: < https://ed.stanford.edu/news/what-do-ai-chatbots-really-mean-students-and-cheating>. Access: 08 Dec., 2023. Adapted.

Pollution

Thick black smoke curling out of smokestacks, horrible-tasting chemicals in your drinking water, pesticides in your food - these are examples of pollution. Pollution is any contamination of the environment which causes harm to the environment or the inhabitants of the environment. There are many kinds of pollution, and there are many pollutants. Some obvious kinds of pollution are pollution of the air, soil, and water. Some less obvious, or less salient kinds of pollution are radioactive, noise, light pollution, and green-house gasses.

Air pollution can be caused by particles, liquids, or gases that make the air harmful to breathe. There are two main types of air pollution: primary and secondary. Primary pollutants enter the air directly, like smoke from factories and car exhaust. Secondary pollutants are chemicals that mix together to pollute the air, like mixtures of emissions, or waste output, from vehicles and factory smoke that change to form more dangerous pollutants in the air and sunlight.

Soil pollution can be caused by pesticides, leakage..........................chemical tanks, oil spills, and other chemicals..........................get into the soil by dumping or accidental contamination. Soil pollution can also cause water pollution.............................underground water becomes contaminated by coming.............................contact with the polluted soil.

Water pollution can be caused by waste products, sewage, oil spills, and litter in streams, rivers, lakes, and oceans. Some scientists believe that water pollution is the largest cause of death and disease in the world, causing about 14,000 deaths in the world each day.

Radioactive pollution can be caused by leaks or spills of radioactive materials. These materials can come from medical sources, nuclear power plants, or laboratories which handle radioactive materials. Air, soil, and water can be polluted by radioactivity. It can cause damage to animals, both internally and externally, by eating, drinking, or touching it. It can cause birth defects and genetic problems. It can cause certain cancers and other deadly diseases.

Noise pollution can be caused by vehicle, aircraft, and industrial noise. It can also be caused by military or experimental sonar. Noise has health effects on people and animals. In people, it can cause high blood pressure, heart problems, sleep disturbances, and hearing problems. In animals, it can cause communication, reproductive, and navigation problems – they have difficulty finding their direction. Sonar has even caused whales to beach themselves because they respond to the sonar as if it were another whale.

Light pollution can be caused by advertising signs, stadium and city lighting, and other artificial lighting (like the light caused by night traffic). Artificial lighting has health effects on humans and animals. In people, it can cause high blood pressure and affect sleeping and waking rhythms and immunity. It might be a factor in some cancers, such as breast cancer. In animals, it can affect sleeping and waking rhythms, navigation, and reproduction.

In addition, greenhouse gases have caused a warming effect on the earth’s climate. The greenhouse gases are water vapor, carbon dioxide, methane, and ozone. They are naturally–occurring gases in the atmosphere, but human activity has increased their concentration in the atmosphere. For example, the levels of carbon dioxide (CO2) in the atmosphere have risen due to the burning of fossil fuels. The effect is a rise in global temperatures. The higher temperatures cause the melting of glaciers, a rise in the water level of oceans, and the disruption of both land and marine life, including that of humans. Although carbon dioxide is necessary for plants to survive, it is also considered to be a kind of pollution because high levels of carbon dioxide have caused the oceans to become more acidic.

It is not possible for anyone to predict the exact timing and effects of global pollution and global climate change brought about by pollution. There is general agreement by scientists that the global climate will continue to change, that the intensity of weather effects will continue to increase, and that some species of animals will become extinct. There is also general agreement, or consensus, that humans need to take steps to reduce emissions of waste products and greenhouse gases into the atmosphere, make adaptations to the changes that are occurring, and figure out ways of reversing the trends of pollution and global warming.

TEXT 1

What do AI chatbots really mean for students and cheating?

October 31, 2023 By

Carrie Spector

The launch of ChatGPT and other artificial intelligence (AI) chatbots has triggered an alarm for many educators, who worry about students using the technology to cheat by passing its writing off as their own. But two Stanford researchers say that concern is misdirected, based on their ongoing research into cheating among U.S. high school students before and after the release of ChatGPT.

Here, Lee and Pope discuss the state of cheating in U.S. schools, what research shows about why students cheat, and their recommendations for educators working to address the problem.

What do we know about how much students cheat?

Pope: We know that cheating rates have been high for a long time. At Challenge Success we’ve been running surveys and focus groups at schools for over 15 years, asking students about different aspects of their lives — the amount of sleep they get, homework pressure, extracurricular activities, family expectations, things like that — and also several questions about different forms of cheating.

For years, long before ChatGPT hit the scene, some 60 to 70 percent of students have reported engaging in at least one “cheating” behavior during the previous month. That percentage has stayed about the same or even decreased slightly in our 2023 surveys, when we added questions specific to new AI technologies, like ChatGPT, and how students are using it for school assignments.

So AI isn’t changing how often students cheat — just the tools that they’re using?

Lee: The most prudent thing to say right now is that the data suggest, perhaps to the surprise of many people, that AI is not increasing the frequency of cheating. This may change as students become increasingly familiar with the technology, and we’ll continue to study it and see if and how this changes. But I think it’s important to point out that, in Challenge Success’ most recent survey, students were also asked if and how they felt an AI chatbot like ChatGPT should be allowed for school-related tasks. Many said they thought it should be acceptable for “starter” purposes, like explaining a new concept or generating ideas for a paper. But the vast majority said that using a chatbot to write an entire paper should never be allowed. So this idea that students who’ve never cheated before are going to suddenly run amok and have AI write all of their papers appears unfounded. What would you suggest to school leaders who are concerned about students using AI chatbots?

Pope: Even before ChatGPT, we could never be sure whether kids were getting help from a parent or tutor or another source on their assignments, and this was not considered cheating. Kids in our focus groups are wondering why they can't use ChatGPT as another resource to help them write their papers — not to write the whole thing word for word, but to get the kind of help a parent or tutor would offer. We need to help students and educators find ways to discuss the ethics of using this technology and when it is and isn't useful for student learning.

Lee: There’s a lot of fear about students using this technology. Schools have considered putting significant amounts of money in AI-detection software, which studies show can be highly unreliable. Some districts have tried blocking AI chatbots from school wifi and devices, then repealed those bans because they were ineffective. AI is not going away. Along with addressing the deeper reasons why students cheat, we need to teach students how to understand and think critically about this technology. For starters, at Stanford we’ve begun developing free resources to help teachers bring these topics into the classroom as it relates to different subject areas. We know that 3 teachers don’t have time to introduce a whole new class, but we have been working with teachers to make sure these are activities and lessons that can fit with what they’re already covering in the time they have available.

I think of AI literacy as being akin to driver’s education: We’ve got a powerful tool that can be a great asset, but it can also be dangerous. We want students to learn how to use it responsibly.

Available from: < https://ed.stanford.edu/news/what-do-ai-chatbots-really-mean-students-and-cheating>. Access: 08 Dec., 2023. Adapted.

Text 6

The sociolinguistics of English as Lingua Franca (EFL) pronunciation.

As far as sociolinguistics is concerned, the first task is to problematise the notion of standard accent. Essentially there is no such thing as a ‘standard’ accent, merely prestige accents, primarily RP and General American English (GA), stigmatised accents both native and (more often) non-native (see Lippi-Green, 1997; Bonfiglio, 2002), and a range of variously tolerated regional and social accents between the two extremes. The so-called BritishEnglish standard accent (RP) is claimed nowadays to be used by a mere fraction of British Native Speakers (NSs), possibly only three per cent in its unmodified form (see Trudgill, 2002: 171). The vast majority of NSs of English speak with regionallyand/or socially-modified accents, whether tolerated or stigmatised. Clearly, then, the RP accent cannot be ‘standard’ in the sense of being a widely-used norm. Instead, ‘standard’ refers accent-wise to a level of pronunciation assumed by many to be better in some way than the others, and is thus standard only in the sense of a level of excellence to be aspired to. Excellence, however, is not something that can be measured linguistically: it is not intrinsic to an accent, but merely reflects the value judgements of the elitist group who habitually use it or would if they could.

It should be a matter for teachers and their learners to decide whether they wish to subscribe to the (linguistically-unsound) belief in the superiority of RP. In some communication contexts an RP accent will undoubtedly provide them with a social advantage. This is more likely to be the case if learners intend to use their English to communicate and blend in largely with NSs, especially if the communication will take place in NS countries. Even here, though, their awareness should be raised to the fact that the majority of NSs with whom they communicate will not have an RP accent. At the most, it will probably be regionallymodified RP. On the other hand, having been apprised of the facts of sociolinguistic variation, learners may prefer to project their own (L2) regional and social identity through their accent. In this case their goal is more likely to be an accent that retains a clear trace of their L1, provided that it does not threaten the intelligibility of their pronunciation in their target (probably ELF) communication contexts.

JENKINS, J. Teaching Pronunciation for English as a Lingua Franca: A Sociopolitical Perspective. In GNUTZMANN, C.; INTEMANN, F. (Org.) The Globalization of English and the English Language Classroom. Oxford: OUP, 2005. p. 145-158.