Questões Militares
Comentadas sobre palavras conectivas | connective words em inglês
Foram encontradas 58 questões
There are many reasons why voters might be concerned about violent crime, ______ official statistics do not show an increase in the nation’s total violent crime rate.
Do you feel mentally drained out ________ office? Are you constantly worried ________ meeting your deadline or are unable ________ achieve your targets? All these can lead ________ stress, a phenomenon faced _________ the majority of the working population.
(https://www thehealthsite.com)
The 'Queen's Gambit' Effect: Everyone Wants a Chess Set Now
_______(1) for the past few years the most popular _______(2) on Netflix was undoubtedly Her Majesty Queen Elizabeth, as portrayed by Claire Foy and Olivia Colman in The Crown, this fall another type of queen _______(3) her mark: Beth Harmon, the captivating protagonist of The Queen's Gambit, a Netflix original that became an overnight sensation and inspired a slew of discerning viewers to pick up _______(4).
Call it the Queen's Gambit effect: Chessboards are flying off the (literal and virtual) rack in the wake
of the show's hit season. Just ask Anthony Barzilay Freund, editorial director and director of fine art at
vintage site 1stDibs: “The Queen's Gambit is driving an interest in the game of chess among new audiences
and demographics,” Freund confirms: “At 1stDibs, in just the month following the show's release, we've
seen a 100% increase in sales of chessboards, pieces, and tables as compared to this time period last
year.”
Of course, while it might be enjoying a renewed popularity at the moment, the game of chess dates back centuries and has long captivated players all over the world. It's believed to have derived from a 7th-century Indian game, then evolved as it spread across Asia and Europe in the following centuries. As a result, says Freund, “you can find a variety of vintage and contemporary chess paraphernalia from dealers all over the world.” Those who don't necessarily have the budget for pawns of precious stone have a myriad of options on the market at all price ranges. So light a fire, make a drink, and set up the chessboard – Beth Harmon would be proud.
Adapted from https://www.housebeautiful.com/design-inspiration/a34874207/queens-gambit-beth-harmon-chess-sets/
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A number of writers in our field have criticized the concept of language teaching methods. Some say that methods are prescriptions for classroom behavior (Pennycook 1989); others that teachers do not think about methods when planning their lessons (Long 1991), and that methodological labels tell us little about what really occurs in classrooms (Katz 1996).
A particular method can be imposed on teachers by others. However, we also know that teaching is more than following a recipe. Any method is going to be shaped by a teacher’s own understanding, beliefs, style, and level of experience. After all, teachers are professionals who can, in the best of all worlds, make their own decisions. They are informed by their own experience, the findings from research, and the wisdom of practice accumulated by the profession (see, for example, Kumaravadivelu 1994).
Furthermore, a method is decontextualized. How a method is implemented in the classroom is going to be affected not only by who the teacher is, but also by who the students are, the institutional constraints and demands, and factors connected to the wider sociocultural context where the instruction takes place. In addition, decisions that teachers make are often affected by exigencies in the classroom rather than by methodological considerations. Saying that a particular method is practiced certainly does not give us the whole picture of what is happening in the classroom. Then, too, since a method is more abstract than a teaching activity, it is not surprising that teachers think in terms of activities rather than methodological choices when they plan their lessons.
[...] Some language teaching methods share the view that language can best be learned when it is taught through communication, rather than for it; and second, that language acquisition can be enhanced by working not only on language, but also on the process of learning (learnng strategies, cooperative learning and multiple intelligences).
(LARSEN FREEMAN, D. Techniques and principles in language
teaching. 2th ed. Oxford: Oxford University Press, 2000. pp. xi-xii. Adaptado)
First study of all Amazon greenhouse gases suggests the
damaged forest is now worsening climate change
The Amazon rainforest is most likely now a net contributor to warming of the planet, according to a first-of-its-kind analysis from more than 30 scientists.
For years, researchers have expressed concern that rising temperatures, drought, and deforestation are reducing the capacity of the world’s largest rainforest to absorb carbon dioxide from the atmosphere, and help offset emissions from fossil-fuel burning. Recent studies have even suggested that some portions of the tropical landscape already may release more carbon than they store.
But the inhaling and exhaling of CO2 is just one way this damp jungle, the most species-rich on Earth, influences the global climate. Activities in the Amazon, both natural and human-caused, can shift the rainforest’s contribution in significant ways, warming the air directly or releasing other greenhouse gases that do.
Yet no team had ever tried to assess the cumulative impact of these processes, even as the region is being rapidly transformed. The research estimates that atmospheric warming from all of these sources combined now appears to swamp the forest’s natural cooling effect.
The damage, however, can still be reversed. Halting global emissions from coal, oil, and natural gas would help restore balance, but curbing Amazon deforestation is a must, along with reducing dam building and increasing efforts to replant trees. Continuing to clear land at current rates appears certain to make warming worse for the entire world.
Internet:<www.nationalgeographic.com>
Based on the text above, judge the follow item.
The words “however” and “but” (fifth paragraph) are both
used to introduce a statement that contrasts with something
that has been said before.
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 30th, 2020)
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 30th, 2020)
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 30th, 2020)
Choose the correct option to complete the sentences below.
I. She congratulated m e ______passing the driving test.
II. My parents discouraged me _____ quitting my job.
III. She got married______a foreigner.
IV. Many young people dream______living abroad.
V. The mayor was forced to resign ______ his position.
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)
Based on the text above, judge the following items.
In the context, the word “However” (ℓ.11) expresses the idea of contrast.
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