25. In the 18th century, perfume-making in France became a highly skilled profession. What can be inferred about the guild system for perfumers? (A) It was likely strict and rigorous, as it required seven years of training to become a certified perfumer. (B) It allowed anyone to enter the profession, making perfume-making less exclusive. (C) It was mainly focused on producing cheaper perfumes for mass consumption. (D) It served as a way to control the quality and prices of perfume for the aristocracy. 貳、非選擇題

10. Although the Ted Talk presentation seemed impressive initially, it quickly became obvious that the speaker was just ______ and knew nothing about the topic. (A) talking off the top of his head (B) getting the hang of it (C) going the extra mile (D) cutting corners 二、文意選填: Landslides and avalanches often seem to strike without warning. Yet, recent advances in artificial intelligence are beginning to change that __11__ . Scientists are now using AI to detect subtle shifts in the Earth’s surface—movements so small they would otherwise go __12__ . These early signals can reveal when a slope is becoming unstable, offering valuable time to prepare for potential disasters. Much of this work relies on satellite radar data, which allows researchers to track gradual changes in 13 CD over long periods. While the movements involved may be only a few millimetres, they can point to deeper structural weaknesses. 14 AB this kind of data on a large scale would be extremely difficult for humans alone, but AI systems can quickly analyse patterns and identify areas that may be at risk. In mountainous regions such as Nepal, 15 A landslides pose a constant threat, these tools are already making a difference. By 16 BD unstable slopes, scientists can provide early warnings to communities and help authorities plan evacuation strategies. Similar technologies are being used in other countries to enable the 17 B monitoring of thousands of locations at the same time, improving overall awareness of geological risks. AI is also being used to study avalanches. By analysing images captured by cameras in snowy regions, machine learning models can learn to recognise when avalanches occur. Although these systems are still being 18 AC and cannot replace human judgement, they offer an additional layer of support for those responsible for managing emergencies. __19__ no technology can fully predict natural disasters, AI is reshaping how risks are understood. As extreme weather events become more frequent, such __20__ approaches may play a crucial role in helping societies respond more effectively and reduce potential harm.

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