Questões Militares de Inglês - Tradução | Translation
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L2 learning strategies are specific behaviors or thought processes that students use to enhance their own L2 learning. One of the six major groups of L2 learning strategies identified by Oxford (1990) is the one which comprises the “compensatory strategies”, that is, strategies that help the learner make up for missing knowledge. Each instance of L2 use is an opportunity for more L2 learning. Oxford and Ehrman (1995) demonstrated that compensatory strategies are significantly related to L2 proficiency in their study of native-English-speaking learners of foreign languages.
(Oxford, Rebecca: Language Learning Styles and Strategies, In IN: Marianne Celce-Murcia. Teaching English as a second or foreign language. Boston, Massachusstes: Heinle&Heinle. 3rd edition. 2002. pp. 362;364. Adaptado
O professor propõe atenção ao contexto e pede ao aluno o sentido da palavra sublinhada no trecho “the one which comprises the “compensatory strategies””. A escolha do aluno deve recair sobre alternativa
Texto 1
CAN A VIRUS MAKE YOU FAT?
Although the idea sounds more like the premise of a B movie than scientific theory two scientists at the University of Wisconsin in Madison believe they've found a virus that causes some people to get fat. Nikhil Dhurandhar and Richard Atkinson reported recently that when they injected a virus known as AD36 into mice and chickens, the animals' body fat increased. Because humans were unlikely to volinteer for such exiperimentation, the scientists decided to test for the presence of antibodies to the virus. Of 154
people tested, about 15 percent of those who were obese had the antibodies. None of the lean people did.
However, the findings don't necessarily prove that
the virus caused obesity in the test group. As
several virologists have pointed out, obese people
may simply be more susceptible to such a virus.
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)
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)