在 英语 中使用 It predicted 的示例及其翻译为 中文
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In 2009, it predicted that at least three of the years 2009 to 2014 would break the previous temperature record set in 1998.
In February, it predicted the cryptocurrency will become digital gold and said$ 8,000 was a feasible medium-term price point.
It predicted Gary Woodland's first career major championship at the U.S. Open even though he wasn't the favorite entering the weekend.
It predicted that institutional media usage would continue to grow from 2007 to 2011.
Its theory could be renormalized, and it predicted three new particles, W+, w-, and Z0.”.
It predicted prices will keep falling through the final quarter of this year and thus end the upswing that lasted for more than two years.
In 2006, it predicted China would be the world's sixth-largest pharmaceutical market by 2011.
The IMF estimates Venezuela's economy could contract 18 percent this year, up from the 15 percent drop it predicted in April.
The BND said the U.S. shale boom would have a greater impact on global markets than it predicted in a previous analysis earlier this year.
SmartestEnergy, a renewable power buyer, found there were 20MW of commercial batteries operating in 2016, which it predicted would increase 27-fold by 2020.
The organization's latest forecast is down from the 5.6% growth for 2013 it predicted in July for Asia's third largest economy.
It predicted that service providers in high-risk environments would be forced to restructure their networks to avoid potential compliance breaches, data theft or service outage.
It predicted that atmospheric concentrations would have peaked around 1997, and then declined with an overall" disappearance" half-life of 4.8 years.
In 2017 it correctly predicted a hung Parliament, with no overall winner, and in 2015 it predicted the Conservatives would be the largest party.
It predicts that a new English-language word is created every 98 minutes.
It predicts the country's vehicle market will grow 3.5 percent in 2018.
Can it predict other experimental results?
But the main thing here is that it predicts probabilities.
It predicts that neurons will encode data using the fewest possible spikes, just as communication networks strive to transmit information in the fewest bits.