| A. launch B. virtue C. process D.shelter E. dignity F. abandon G. assume H.compose I. identify J. exceptionally K. structure |
2. They carried themselves with great pride and
3. Exposure to the sun can accelerate the ageing
4. Disney’s other great
5. The Navy is to
6. The door enables us to shut the birds in the
7. The restaurant was built on a wooden
8. It is reasonable to
9. He’s an
10. She felt she was needed and decided to
| A．regain | B．reserve | C．compose | D．comprise |
| A．rescued | B．composed | C．endured | D．ceased |
| concern leap collapse push delivered drawn fixed composed pioneering exposure accumulated |
2. The animals in the thick bush were
3. Like many advancements in civilization, the concept of a(n)
4. The Chinese Embassy
5. It never occurred to him that
6. The pioneering research demonstrated that some people tend to see their abilities as
7. The achievements of athletes inspire us to
8. Despite the struggles and challenges in the previous days, today’s
9. Sartre refused the Nobel Prize out of
10. The rigorous and highly structured education in the institute paved the way for his undergraduate study and his knowledge about chemistry
| A. consisted B. composing C. measures D. account E. patterns F. limitations G. moderately H. progressed I. distribution J. significantly K. complement |
AI can distinguish between bots and humans based on Twitter activity
Artificial intelligence is being used to spot the difference between human users and fake accounts on Twitter.
Emilio Ferrara at the University of Southern California in the US, and his colleagues have trained an AI to detect bots on Twitter based on differences in
The team analysed two separate datasets of Twitter users, which had been classified either manually or by a pre-existing algorithm as either bot or human.
The manually verified dataset
The researchers found that human users replied four to five times more often to other tweets than bots did. Real users gradually become more interactive, with the fraction of replies increasing over the course of an hour-long session of Twitter use.
The length of tweets by human users also decreased as sessions
Bots, on the other hand, show no changes in their interactivity or the length of information they tweet over time.
The team also analysed the amount of time between any two consecutive (连读的) tweets from a single user. When this
The team then combined these
The algorithm could be used to
One of the study’s
1. Heavy homework loads and increasing screen time on smart phones
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7. President Xi together with foreign guests toured the exhibition hall to
8. The surgeon is now engaged in operating on a patient who needs emergency surgery to
