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Q2456315 Inglês

Text CB1A7 


        Whenever a global economic transformation takes place, a single city usually drives it forward. Ghent, in modern-day Belgium, was at the core of the burgeoning global wool trade in the 13th century. The first initial public offering took place in Amsterdam in 1602. London was the financial centre of the first wave of globalisation during the 19th century. Today the city is San Francisco. 


        California’s commercial capital has no serious rival in generative artificial intelligence (AI), a breakthrough technology that has caused a bull market in American stocks and which, many economists hope, will power a global productivity surge. Almost all big AI start-up companies are based in the Bay Area, which comprises the city of San Francisco and Silicon Valley (largely based in Santa Clara county, to the south). OpenAI is there, of course; so are Anthropic, Databricks and Scale AI. Tech giants, including Meta and Microsoft, are also spending big on AI in San Francisco. According to Brookings Metro, a think tank, last year San Francisco accounted for close to a tenth of generative AI job postings in America, more than any other city of the country. New York, with four times as many residents, was second. 



Internet: <www.economist.com> (adapted). 

Based on the ideas conveyed in text CB1A7, choose the correct option. 
Alternativas
Q2456314 Inglês

Text CB1A7 


        Whenever a global economic transformation takes place, a single city usually drives it forward. Ghent, in modern-day Belgium, was at the core of the burgeoning global wool trade in the 13th century. The first initial public offering took place in Amsterdam in 1602. London was the financial centre of the first wave of globalisation during the 19th century. Today the city is San Francisco. 


        California’s commercial capital has no serious rival in generative artificial intelligence (AI), a breakthrough technology that has caused a bull market in American stocks and which, many economists hope, will power a global productivity surge. Almost all big AI start-up companies are based in the Bay Area, which comprises the city of San Francisco and Silicon Valley (largely based in Santa Clara county, to the south). OpenAI is there, of course; so are Anthropic, Databricks and Scale AI. Tech giants, including Meta and Microsoft, are also spending big on AI in San Francisco. According to Brookings Metro, a think tank, last year San Francisco accounted for close to a tenth of generative AI job postings in America, more than any other city of the country. New York, with four times as many residents, was second. 



Internet: <www.economist.com> (adapted). 

In text CB1A7, the expression “California’s commercial capital” (in the beginning of the second paragraph) refers to 
Alternativas
Q2456313 Inglês

Text CB1A7 


        Whenever a global economic transformation takes place, a single city usually drives it forward. Ghent, in modern-day Belgium, was at the core of the burgeoning global wool trade in the 13th century. The first initial public offering took place in Amsterdam in 1602. London was the financial centre of the first wave of globalisation during the 19th century. Today the city is San Francisco. 


        California’s commercial capital has no serious rival in generative artificial intelligence (AI), a breakthrough technology that has caused a bull market in American stocks and which, many economists hope, will power a global productivity surge. Almost all big AI start-up companies are based in the Bay Area, which comprises the city of San Francisco and Silicon Valley (largely based in Santa Clara county, to the south). OpenAI is there, of course; so are Anthropic, Databricks and Scale AI. Tech giants, including Meta and Microsoft, are also spending big on AI in San Francisco. According to Brookings Metro, a think tank, last year San Francisco accounted for close to a tenth of generative AI job postings in America, more than any other city of the country. New York, with four times as many residents, was second. 



Internet: <www.economist.com> (adapted). 

Maintaining the original meaning and the grammatical correctness of text CB1A7, the word “burgeoning” (second sentence) could be replaced with 
Alternativas
Q2456312 Inglês

Text CB1A7 


        Whenever a global economic transformation takes place, a single city usually drives it forward. Ghent, in modern-day Belgium, was at the core of the burgeoning global wool trade in the 13th century. The first initial public offering took place in Amsterdam in 1602. London was the financial centre of the first wave of globalisation during the 19th century. Today the city is San Francisco. 


        California’s commercial capital has no serious rival in generative artificial intelligence (AI), a breakthrough technology that has caused a bull market in American stocks and which, many economists hope, will power a global productivity surge. Almost all big AI start-up companies are based in the Bay Area, which comprises the city of San Francisco and Silicon Valley (largely based in Santa Clara county, to the south). OpenAI is there, of course; so are Anthropic, Databricks and Scale AI. Tech giants, including Meta and Microsoft, are also spending big on AI in San Francisco. According to Brookings Metro, a think tank, last year San Francisco accounted for close to a tenth of generative AI job postings in America, more than any other city of the country. New York, with four times as many residents, was second. 



Internet: <www.economist.com> (adapted). 

In text CB1A7, the word “which”, in the first sentence of the second paragraph, refers back to 
Alternativas
Q2453845 Inglês
Predicting the unpredictable


Some years ago, a devastating earthquake struck the Italian town of L’Aquila. More than 300 people lost their lives, over 1,500 people were injured, and many buildings were destroyed. Two years later, seven earthquake experts were involved in a court case: Did they adequately warn the public after the initial tremors began? At the heart of the debate is whether they could have predicted a disaster like this.


Although a lot of scientists are working to improve our ability to predict natural disasters, so far no one has come up with a reliable method to forecast earthquakes or volcanic eruptions, days or weeks beforehand. Most of the research focuses on the areas most likely to experience seismic activity – but even our knowledge about where these areas are, is very limited. One reason for this is that human beings have only been around for a very small part of the Earth’s history. In geological terms, we all arrived on the scene very recently. Records from the past 2,000 years are incomplete, and the biggest earthquakes nearly always happen in areas where there have been no earthquakes in recorded history.


So, is there any hope for improving our ability to predict disasters? A solution may come from an unexpected source. Four years ago, a team of US physicists at Rutgers University in New Jersey were studying why pharmaceutical powders stick together. They observed that the powder stuck together when placed in a spinning cylinder, but then developed cracks and collapsed. Just before the cracks developed, an electric signal, like a small bolt of lightning, was created. The scientists repeated the experiment with a wide range of different materials, and they got similar results every time.


This phenomenon might also exist in nature. Some scientists believe that rocks may become electrically charged under unusual pressure, such as before an earthquake. This electric charge then causes changes in the surrounding air or water, which animals may be able to sense before humans do. For example, while biologists were studying a colony of frogs in a pond near L’Aquila, they noticed that nearly all the animals left the water days before the earthquake. A similar thing happened in China, when snakes were hibernating for the winter in caves, but escaped just before a large earthquake. The same kind of electric charge, like the small bolt of lightning felt in the experiment at Rutgers, may have been responsible.


At the moment, there is no reliable way ............ using such findings to predict earthquakes, and further studies may be necessary to give us a better understanding of the interactions involved, but one day, the technology may be used ............ predict future catastrophes. For example, two science institutions in Russia and Britain are already developing a new micro-satellite, which could detect these electric signals and help rescue people ................ natural disasters in time. Scientists are planning to launch the first of these satellites ............... space. Will these satellites be the solution? Only time will tell. For the time being, the best defense is to be prepared.
Active Learning Strategy is a teaching technique that increases student engagement in daily lessons. This technique can also help teachers to become more actively engaged in how they teach the curriculum and how they develop each student’s learning potential.
Choose the alternative that presents an active learning strategy.
Alternativas
Respostas
1: C
2: D
3: B
4: D
5: B