Questões de Inglês

How facial recognition technology aids police

Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns. One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state. Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather. [...] As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential. With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them. By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial- recognitionpolicing.aspx, accessed May 30 th , 2020) The word that may replace “In fact” in “In fact, it is so important”, without change in meaning, is

How facial recognition technology aids police

Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns. One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state. Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather. [...] As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential. With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them. By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial- recognitionpolicing.aspx, accessed May 30 th , 2020) The authors conclude the text by stating that

How facial recognition technology aids police Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns. One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology

significantly extends the reach and depth of surveillance by the state. Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather. [...] As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential. With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them. By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial- recognitionpolicing.aspx, accessed May 30 th , 2020) Based on the information provided by Text, mark the statements below as true (T) or false (F). ( ) In relation to AFR, ethical and legal implications are being brought up. ( ) There is enough data to prove that AFR is efficient in street policing. ( ) AFR performance may be affected by changes in light and motion. The statements are, respectively,

How facial recognition technology aids police Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns. One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state. Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex.

Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather. [...] As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential. With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them. By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial- recognitionpolicing.aspx, accessed May 30 th , 2020) In “Until now, however”, the word “however” introduces the notion of

How facial recognition technology aids police Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns. One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state. Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather. [...] As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential. With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control

functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them. By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial- recognitionpolicing.aspx, accessed May 30 th , 2020) In the first paragraph, the pronoun “it” in “officers believe possessing it” refers to the

How facial recognition technology aids police Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns. One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state. Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather. [...] As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential. With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them. By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial- recognitionpolicing.aspx, accessed May 30 th , 2020) The word “while” in “While a number of UK and international police forces have been enthusiastically exploring the potential of AFR” has the same meaning as

How cities can better prevent fires August 29, 2018 America’s deadliest building fire for more than a decade struck Oakland, California, on December 2nd 2016, killing 36 people attending a dance party in a warehouse that had become a cluttered artist collective. The disaster highlights an open secret: many cities lack resources to inspect for fire risk all the structures that they should. Even though the Oakland building had no fire sprinklers and at least ten people lived there illegally, no inspector had visited in about 30 years. How might cities make better use of the inspectors they do have? A handful of American cities have begun to seek help from a new type of analytics software. By crunching diverse data collected by government bodies and utilities, the software works out which buildings are most likely to catch fire and should therefore be inspected first. Plenty of factors play a role. Older, wooden buildings, unsurprisingly, pose more risk, as do those close to past fires and leaks of gas or oil. Poverty also pushes up fire risk, especially if lots of children, who may be attracted to mischief, live nearby. More telling are unpaid taxes, foreclosure proceedings and recorded complaints of mould, rats, crumbling plaster, accumulating rubbish, and domestic fights, all of which hint at property neglect. A building’s fire risk also increases the further it is from its owner’s residence. Predictive software designed at Harvard that Portland, Oregon, will soon begin using will do that. Perhaps more importantly, the city’s fire chief noticed that buildings marked as being the biggest risks are clustered in areas lacking good schools, public transport, health care and food options. Healthier, happier people start fewer fires, he concluded. He now lobbies officials to reduce Portland’s pockets of deteriorated areas. (The Economist. www.economist.com/the-economist-explains /2018/08/29/how-cities-can-better-prevent-fires. Adaptado) According to the last paragraph, Portland’s fire chief believes that

How cities can better prevent fires August 29, 2018 America’s deadliest building fire for more than a decade struck Oakland, California, on December 2nd 2016, killing 36 people attending a dance party in a warehouse that had become a cluttered artist collective. The disaster highlights an open secret: many cities lack resources to inspect for fire risk all the structures that they should. Even though the Oakland building had no fire sprinklers and at least ten people lived there illegally, no inspector had visited in about 30 years. How might cities make better use of the inspectors they do have? A handful of American cities have begun to seek help from a new type of analytics software. By crunching diverse data collected by government bodies and utilities, the software works out which buildings are most likely to catch fire and should therefore be inspected first. Plenty of factors play a role. Older, wooden buildings, unsurprisingly, pose more risk, as do those close to past fires and leaks of gas or oil. Poverty also pushes up fire risk, especially if lots of children, who may be attracted to mischief, live nearby. More telling are unpaid taxes, foreclosure proceedings and recorded complaints of mould, rats, crumbling plaster, accumulating rubbish, and domestic fights, all of which hint at property neglect. A building’s fire risk also increases the further it is from its owner’s residence. Predictive software designed at Harvard that Portland, Oregon, will soon begin using will do that. Perhaps more importantly, the city’s fire chief noticed that buildings marked as being the biggest risks are clustered in areas lacking good schools, public transport, health care and food options. Healthier, happier people start fewer fires, he concluded. He now lobbies officials to reduce Portland’s pockets of deteriorated areas. (The Economist. www.economist.com/the-economist-explains /2018/08/29/how-cities-can-better-prevent-fires. Adaptado) According to the first paragraph,

No trecho do segundo parágrafo “A building's fire risk also increases the further it is from its owner's residence", o termo em destaque (it) se refere a

In the fragment from the second paragraph “Poverty also pushes up fire risk", the expression in bold means

Leia o texto para responder às questões de 39 a 43. While plastic refuse littering beaches and oceans draws high-profile attention, the Food and Agriculture Organization’s (FAO) Assessment of agricultural plastics and their sustainability: a call for action suggests that the land we use to grow our

food is contaminated with even larger quantities of plastic pollutants. “Soils are one of the main receptors of agricultural plastics and are known to contain larger quantities of microplastics than oceans”, FAO Deputy Director-General Maria Helena Semedo said in the report’s foreword. According to data collated by FAO experts, agricultural value chains each year use 12.5 million tonnes of plastic products while another 37.3 million are used in food packaging. Crop production and livestock accounted for 10.2 million tonnes per year collectively, followed by fisheries and aquaculture with 2.1 million, and forestry with 0.2 million tonnes. Asia was estimated to be the largest user of plastics in agricultural production, accounting for almost half of global usage. Moreover, without viable alternatives, plastic demand in agriculture is only set to increase. As the demand for agricultural plastic continues surge, Ms. Semedo underscored the need to better monitor the quantities that “leak into the environment from agriculture”. Since their widespread introduction in the 1950s, plastics have become ubiquitous. In agriculture, plastic products greatly help productivity, such as in covering soil to reduce weeds; nets to protect and boost plant growth, extend cropping seasons and increase yields; and tree guards, which protect young plants and trees from animals and help provide a growth-enhancing microclimate. However, of the estimated 6.3 billion tonnes of plastics produced before 2015, almost 80 per cent had never been properly disposed of. While the effects of large plastic items on marine fauna have been well documented, the impacts unleashed during their disintegration potentially affect entire ecosystems. (https://news.un.org, 07.12.2021. Adaptado.) An idea of contrast may be found in the following excerpt from the text:

How cities can better prevent fires August 29, 2018 America’s deadliest building fire for more than a decade struck Oakland, California, on December 2nd 2016, killing 36 people attending a dance party in a warehouse that had become a cluttered artist collective. The disaster highlights an open secret: many cities lack resources to inspect for fire risk all the structures that they should. Even though the Oakland building had no fire sprinklers and at least ten people lived there illegally, no inspector had visited in about 30 years. How might cities make better use of the inspectors they do have? A handful of American cities have begun to seek help from a new type of analytics software. By crunching diverse data collected by government bodies and utilities, the software works out which buildings are most likely to catch fire and should therefore be inspected first. Plenty of factors play a role. Older, wooden buildings, unsurprisingly, pose more risk, as do those close to past fires and leaks of gas or oil. Poverty also pushes up fire risk, especially if lots of children, who may be attracted to mischief, live nearby. More telling are unpaid taxes, foreclosure proceedings and recorded complaints of mould, rats, crumbling plaster, accumulating rubbish, and domestic fights, all of which hint at property neglect. A building’s fire risk also increases the further it is from its owner’s residence. Predictive software designed at Harvard that Portland, Oregon, will soon begin using will do that. Perhaps more importantly, the city’s fire chief noticed that buildings marked as being the biggest risks are clustered in areas lacking good schools, public transport, health care and food options. Healthier, happier people start fewer fires, he concluded. He now lobbies officials to reduce Portland’s pockets of deteriorated areas. (The Economist. www.economist.com/the-economist-explains /2018/08/29/how-cities-can-better-prevent-fires. Adaptado) De acordo com o segundo parágrafo, algumas cidades estadunidenses

Leia o texto para responder às questões de 39 a 43. While plastic refuse littering beaches and oceans draws high-profile attention, the Food and Agriculture Organization’s (FAO) Assessment of agricultural plastics and their sustainability: a call for action suggests that the land we use to grow our food is contaminated with even larger quantities of plastic pollutants. “Soils are one of the main receptors of agricultural plastics and are known to contain larger quantities of microplastics than oceans”, FAO Deputy Director-General Maria Helena Semedo said in the report’s foreword. According to data collated by FAO experts, agricultural value chains each year use 12.5 million tonnes of plastic products while another 37.3 million are used in food packaging. Crop production and livestock accounted for 10.2 million tonnes per year collectively, followed by fisheries and aquaculture with 2.1 million, and forestry with 0.2 million tonnes. Asia was estimated to be the largest user of plastics in agricultural production, accounting for almost half of global usage. Moreover, without viable alternatives, plastic demand in agriculture is only set to increase. As the demand for agricultural plastic continues surge, Ms. Semedo underscored the need to better monitor the quantities that “leak into the environment from agriculture”. Since their widespread introduction in the 1950s, plastics have become ubiquitous. In agriculture, plastic products greatly help productivity, such as in covering soil to reduce weeds; nets to protect and boost plant growth, extend cropping seasons and increase yields; and tree guards, which protect young plants and trees from animals and help provide a growth-enhancing microclimate. However, of the estimated 6.3 billion tonnes of plastics produced before 2015, almost 80 per cent had never been properly disposed of. While the effects of large plastic items on marine fauna have been well documented, the impacts unleashed during their disintegration potentially affect entire ecosystems. (https://news.un.org, 07.12.2021. Adaptado.) The excerpt from the second paragraph “‘leak into the environment from agriculture’” refers most specifically to

How cities can better prevent fires

August 29, 2018 America’s deadliest building fire for more than a decade struck Oakland, California, on December 2nd 2016, killing 36 people attending a dance party in a warehouse that had become a cluttered artist collective. The disaster highlights an open secret: many cities lack resources to inspect for fire risk all the structures that they should. Even though the Oakland building had no fire sprinklers and at least ten people lived there illegally, no inspector had visited in about 30 years. How might cities make better use of the inspectors they do have? A handful of American cities have begun to seek help from a new type of analytics software. By crunching diverse data collected by government bodies and utilities, the software works out which buildings are most likely to catch fire and should therefore be inspected first. Plenty of factors play a role. Older, wooden buildings, unsurprisingly, pose more risk, as do those close to past fires and leaks of gas or oil. Poverty also pushes up fire risk, especially if lots of children, who may be attracted to mischief, live nearby. More telling are unpaid taxes, foreclosure proceedings and recorded complaints of mould, rats, crumbling plaster, accumulating rubbish, and domestic fights, all of which hint at property neglect. A building’s fire risk also increases the further it is from its owner’s residence. Predictive software designed at Harvard that Portland, Oregon, will soon begin using will do that. Perhaps more importantly, the city’s fire chief noticed that buildings marked as being the biggest risks are clustered in areas lacking good schools, public transport, health care and food options. Healthier, happier people start fewer fires, he concluded. He now lobbies officials to reduce Portland’s pockets of deteriorated areas. (The Economist. www.economist.com/the-economist-explains /2018/08/29/how-cities-can-better-prevent-fires. Adaptado) No trecho do segundo parágrafo “A building’s fire risk also increases the further it is from its owner’s residence”, o termo em destaque (it) se refere a

Leia o texto para responder às questões de 39 a 43. While plastic refuse littering beaches and oceans draws high-profile attention, the Food and Agriculture Organization’s (FAO) Assessment of agricultural plastics and their sustainability: a call for action suggests that the land we use to grow our food is contaminated with even larger quantities of plastic pollutants. “Soils are one of the main receptors of agricultural plastics and are known to contain larger quantities of microplastics than oceans”, FAO Deputy Director-General Maria Helena Semedo said in the report’s foreword. According to data collated by FAO experts, agricultural value chains each year use 12.5 million tonnes of plastic products while another 37.3 million are used in food packaging. Crop production and livestock accounted for 10.2 million tonnes per year collectively, followed by fisheries and aquaculture with 2.1 million, and forestry with 0.2 million tonnes. Asia was estimated to be the largest user of plastics in agricultural production, accounting for almost half of global usage. Moreover, without viable alternatives, plastic demand in agriculture is only set to increase. As the demand for agricultural plastic continues surge, Ms. Semedo underscored the need to better monitor the quantities that “leak into the environment from agriculture”. Since their widespread introduction in the 1950s, plastics have become ubiquitous. In agriculture, plastic products greatly help productivity, such as in covering soil to reduce weeds; nets to protect and boost plant growth, extend cropping seasons and increase yields; and tree guards, which protect young plants and trees from animals and help provide a growth-enhancing microclimate. However, of the estimated 6.3 billion tonnes of plastics produced before 2015, almost 80 per cent had never been properly disposed of. While the effects of large plastic items on marine fauna have been well documented, the impacts unleashed during their disintegration potentially affect entire ecosystems. (https://news.un.org, 07.12.2021. Adaptado.) No trecho do segundo parágrafo “Moreover, without viable alternatives, plastic demand in agriculture is only set to increase”, o termo sublinhado pode ser substituído, sem alteração de sentido, por

No trecho do primeiro parágrafo “Even though the Oakland building had no fire sprinklers", a expressão em destaque equivale, em português, a

Leia o texto para responder às questões de 39 a 43. While plastic refuse littering beaches and oceans draws high-profile attention, the Food and Agriculture Organization’s (FAO) Assessment of agricultural plastics and their sustainability: a call for action suggests that the land we use to grow our food is contaminated with even larger quantities of plastic pollutants. “Soils are one of the main receptors of agricultural plastics and are known to contain larger quantities of microplastics than oceans”, FAO Deputy Director-General Maria Helena Semedo said in the report’s foreword. According to data collated by FAO experts, agricultural value chains each year use 12.5 million tonnes of plastic products while another 37.3 million are used in food packaging. Crop production and livestock accounted for 10.2 million tonnes per year collectively, followed by fisheries and aquaculture with 2.1 million, and forestry with 0.2 million tonnes. Asia was estimated to be the largest user of plastics in agricultural production, accounting for almost half of global usage. Moreover, without viable alternatives, plastic demand in agriculture is only set to increase. As the demand for agricultural plastic continues surge, Ms. Semedo underscored the need to better monitor the quantities that “leak into the environment from agriculture”. Since their widespread introduction in the 1950s, plastics have become ubiquitous. In agriculture, plastic products greatly help productivity, such as in covering soil to reduce weeds; nets to protect and boost plant growth, extend cropping seasons and increase yields; and tree guards, which protect young plants and trees from animals and help provide a growth-enhancing microclimate. However, of the estimated 6.3 billion tonnes of plastics produced before 2015, almost 80 per cent had never been properly disposed of. While the effects of large plastic items on marine fauna have been well documented, the impacts unleashed during their disintegration potentially affect entire ecosystems. (https://news.un.org, 07.12.2021. Adaptado.) The text intends to

How cities can better prevent fires

August 29, 2018 America’s deadliest building fire for more than a decade struck Oakland, California, on December 2nd 2016, killing 36 people attending a dance party in a warehouse that had become a cluttered artist collective. The disaster highlights an open secret: many cities lack resources to inspect for fire risk all the structures that they should. Even though the Oakland building had no fire sprinklers and at least ten people lived there illegally, no inspector had visited in about 30 years. How might cities make better use of the inspectors they do have? A handful of American cities have begun to seek help from a new type of analytics software. By crunching diverse data collected by government bodies and utilities, the software works out which buildings are most likely to catch fire and should therefore be inspected first. Plenty of factors play a role. Older, wooden buildings, unsurprisingly, pose more risk, as do those close to past fires and leaks of gas or oil. Poverty also pushes up fire risk, especially if lots of children, who may be attracted to mischief, live nearby. More telling are unpaid taxes, foreclosure proceedings and recorded complaints of mould, rats, crumbling plaster, accumulating rubbish, and domestic fights, all of which hint at property neglect. A building’s fire risk also increases the further it is from its owner’s residence. Predictive software designed at Harvard that Portland, Oregon, will soon begin using will do that. Perhaps more importantly, the city’s fire chief noticed that buildings marked as being the biggest risks are clustered in areas lacking good schools, public transport, health care and food options. Healthier, happier people start fewer fires, he concluded. He now lobbies officials to reduce Portland’s pockets of deteriorated areas. (The Economist. www.economist.com/the-economist-explains /2018/08/29/how-cities-can-better-prevent-fires. Adaptado) In the fragment from the second paragraph “Poverty also pushes up fire risk”, the expression in bold means

Leia a tirinha Pickles de Brian Crane.

A leitura dos dois últimos quadrinhos da tirinha permite inferir que a mulher é uma pessoa

According to the first paragraph,

Leia o texto para responder às questões de 39 a 43. While plastic refuse littering beaches and oceans draws high-profile attention, the Food and Agriculture Organization’s (FAO) Assessment of agricultural plastics and their sustainability: a call for action suggests that the land we use to grow our food is contaminated with even larger quantities of plastic pollutants. “Soils are one of the main receptors of agricultural plastics and are known to contain larger quantities of microplastics than oceans”, FAO Deputy Director-General Maria Helena Semedo said in the report’s foreword. According to data collated by FAO experts, agricultural value chains each year use 12.5 million tonnes of plastic products while another 37.3 million are used in food packaging. Crop production and livestock accounted for 10.2 million tonnes per year collectively, followed by fisheries and aquaculture with 2.1 million, and forestry with 0.2 million tonnes. Asia was estimated to be the largest user of plastics in agricultural production, accounting for almost half of global usage. Moreover, without viable alternatives, plastic demand in agriculture is only set to increase. As the demand for agricultural plastic continues surge, Ms. Semedo underscored the need to better monitor the quantities that “leak into the environment from agriculture”.

    Since their widespread introduction in the 1950s, plastics have become ubiquitous. In agriculture, plastic products

greatly help productivity, such as in covering soil to reduce weeds; nets to protect and boost plant growth, extend cropping seasons and increase yields; and tree guards, which protect young plants and trees from animals and help provide a growth-enhancing microclimate. However, of the estimated 6.3 billion tonnes of plastics produced before 2015, almost 80 per cent had never been properly disposed of. While the effects of large plastic items on marine fauna have been well documented, the impacts unleashed during their disintegration potentially affect entire ecosystems. (https://news.un.org, 07.12.2021. Adaptado.) No trecho do terceiro parágrafo “such as in covering soil to reduce weeds”, a expressão sublinhada foi utilizada para introduzir

According to the last paragraph, Portland’s fire chief believes that

De acordo com o segundo parágrafo, algumas cidades estadunidenses

How cities can better prevent fires August 29, 2018 America’s deadliest building fire for more than a decade struck Oakland, California, on December 2nd 2016, killing 36 people attending a dance party in a warehouse that had become a cluttered artist collective. The disaster highlights an open secret: many cities lack resources to inspect for fire risk all the structures that they should. Even though the Oakland building had no fire sprinklers and at least ten people lived there illegally, no inspector had visited in about 30 years. How might cities make better use of the inspectors they do have? A handful of American cities have begun to seek help from a new type of analytics software. By crunching diverse data collected by government bodies and utilities, the software works out which buildings are most likely to catch fire and should therefore be inspected first. Plenty of factors play a role. Older, wooden buildings, unsurprisingly, pose more risk, as do those close to past fires and leaks of gas or oil. Poverty also pushes up fire risk, especially if lots of children, who may be attracted to mischief, live nearby. More telling are unpaid taxes, foreclosure proceedings and recorded complaints of mould, rats, crumbling plaster, accumulating rubbish, and domestic fights, all of which hint at property neglect. A building’s fire risk also increases the further it is from its owner’s residence. Predictive software designed at Harvard that Portland, Oregon, will soon begin using will do that. Perhaps more importantly, the city’s fire chief noticed that buildings marked as being the biggest risks are clustered in areas lacking good schools, public transport, health care and food options. Healthier, happier people start fewer fires, he concluded. He now lobbies officials to reduce Portland’s pockets of deteriorated areas. (The Economist. www.economist.com/the-economist-explains /2018/08/29/how-cities-can-better-prevent-fires. Adaptado) No trecho do primeiro parágrafo “Even though the Oakland building had no fire sprinklers”, a expressão em destaque equivale, em português, a