2027届新高考模拟卷阅读理解之科技类说明文专练（一）

2026-2027学年最新高考模拟卷 阅读理解之科技类 说明文专练（一） (1) （2026·江苏南京·模拟预测） Beneath the ocean’s surface lies a secret world of light. While bioluminescence — the ability of living things to produce their own light — has long interested scientists, a lesser-known phenomenon called bio-fluorescence (生物荧光) is now stealing the spotlight. Bio-fluorescence occurs when sea animals absorb light at one wavelength and send it out at another, creating vivid lights in colors like green, red, or orange. Unlike bioluminescence, which produces light through chemical reactions, bio-fluorescence depends on absorbing light from outside to glow. This natural light show is not just for beauty; it serves critical survival functions. In the coral reefs (珊瑚礁) of the Pacific, researchers observed corals sending out green light under blue light. “It’s a dance of partnership guided by light,” explains marine biologist Dr. Kenji Nakamura. Without this interaction, coral bleaching (白化) — a major threat to coral ecosystems — would speed up. Another wonder comes from the Hawaiian bobtail squid (短尾乌贼). When threatened by hunters, it releases a cloud of bio-fluorescent ink. The sudden burst of light confuses attackers, buying the squid precious seconds to escape. Dr. Emily Carter who led the study notes, “This is evolution’s version of a smoke screen — but far more shining.” The discovery of GFP — green fluorescent protein (绿色荧光蛋白) — in jellyfish in 1962 revolutionized science. Researchers realized GFP could be used to mark specific cells, making invisible processes visible. Today, it lights up nerve cells in brain studies, helping map out connections in diseases like Alzheimer’s. “GFP is a window into the brain’s hidden workings,” says brain scientist Dr. Maria Gonzalez. Scientists are now copying bio-fluorescence to develop sustainable technologies. For example, fluorescent proteins inspire energy-efficient LED lighting, and bio-fluorescent markers could improve medical imaging. “Nature’s designs are blueprints for human innovation,” says materials scientist Dr. Raj Patel. Yet mysteries remain. Over 200 species of bio-fluorescent fish were recently discovered, their purposes still unclear. As submarines dive deeper, each expedition reveals new players in this beautiful underwater light show, proving that the ocean’s depths still guard ancient secrets. 1. How is bio-fluorescence different from bioluminescence? A. It is drawing less attention. B. It produces brighter lights. C. It needs an outside light source. D. It makes better use of chemical reactions. 2. What can we learn about the examples in paragraphs 3 and 4? A. They both describe light-based hunting methods. B. They both explain the formation of a close partnership. C. They both highlight potential threats to the environment. D. They both show survival functions of bio-fluorescence. 3. What is the main use of GFP in science? A. To protect corals from bleaching. B. To create more efficient LED lights. C. To treat the disease of Alzheimer’s. D. To visualize cells for better observation. 4. What is the best title for the text? A. Bio-fluorescence: Nature’s Hidden Light Show B. Bio-fluorescence: Nature’s Display of Beauty C. Bioluminescence: Ocean’s Ancient Magic Power D. Bioluminescence: Colourful Window into Ocean Secret 【答案】1. C 2. D 3. D 4. A 【难度】0.85 【导语】文章主要介绍了海洋中的生物荧光现象及绿色荧光蛋白在科学领域的应用以及基于生物荧光的可持续技术发展，最后指出海洋中仍有许多关于生物荧光的未解之谜。 【详解】1. 细节理解题。根据第二段“Unlike bioluminescence, which produces light through chemical reactions, bio-fluorescence depends on absorbing light from outside to glow.(与通过化学反应产生光的生物发光不同，生物荧光依赖于吸收外界的光来发光。)”可知，生物荧光需要外部光源才能发光，这是它与生物发光的核心区别。 2. 推理判断题。根据第三段“Without this interaction, coral bleaching (白化) — a major threat to coral ecosystems — would speed up.(如果没有这种相互作用，珊瑚白化 —— 珊瑚生态系统面临的一个重大威胁 —— 将会加速。)”可知，第三段以珊瑚礁为例，说明了珊瑚的生物荧光能减缓白化速度；根据第四段“When threatened by hunters, it releases a cloud of bio-fluorescent ink. The sudden burst of light confuses attackers, buying the squid precious seconds to escape.(当受到猎人的威胁时，它会释放出一团生物荧光墨汁。突然迸发的亮光会迷惑攻击者，为乌贼争取宝贵的几秒钟时间来逃跑。)”可知，第四段以短尾乌贼为例，介绍了它的生物荧光墨水能迷惑捕食者。结合第二段“This natural light show is not just for beauty; it serves critical survival functions.(这种自然的灯光秀不仅仅是为了美观；它还具有重要的生存功能。)”可知，这两个例子均是为了说明生物荧光的生存功能。 3. 细节理解题。根据第五段“Researchers realized GFP could be used to mark specific cells, making invisible processes visible. Today, it lights up nerve cells in brain studies, helping map out connections in diseases like Alzheimer’s.(研究人员意识到绿色荧光蛋白可以用来标记特定细胞，使看不见的过程变得可见。如今，它在大脑研究中照亮神经细胞，帮助绘制阿尔茨海默病等疾病中的神经连接。)”可知，GFP在科学中的主要用途是标记细胞使其可视化，便于观察研究。 4. 主旨大意题。根据第一段“Beneath the ocean’s surface lies a secret world of light. (海洋表面之下隐藏着一个秘密的光世界)”和最后一段“each expedition reveals new players in this beautiful underwater light show”(每次探险都揭示了这场美丽的水下灯光秀中的新角色)”及文章内容可知，全文围绕“生物荧光”展开，介绍了其原理、生存功能、科学应用和未解之谜，故“生物荧光：大自然隐藏的灯光秀”最能概括全文内容。 (2) （26-27高三上·江苏常州·开学考试） Traditionally, deep strategic analysis required extensive financial support and massive data teams, giving wealthy footballing nations a distinct advantage. Smaller countries with limited budgets could rarely afford dedicated data scientists or custom analytics software, creating an unfair gap in competitive preparation. This imbalance will be largely erased at the 2026 FIFA World Cup, thanks to a full set of artificial intelligence tools co-developed by FIFA and its official tech partner Lenovo. The core of this AI revolution is Football AI Pro, a generative AI platform open free of charge to all 48 competing teams across Canada, Mexico and the United States. Powered by Lenovo’s advanced AI technology and built on FIFA’s tailored Football Language model, the platform processes hundreds of millions of data points from every match. It turns complicated athletic statistics into easy-to-digest outputs: written strategic summaries, highlight video clips, interactive charts and dynamic 3D field visualizations. Supporting over 15 human languages, the AI assistant lets coaches type natural-language questions before kickoff to study opposing teams’ patterns, and after games to fix their own team’s weak spots. To protect independent human coaching judgment, FIFA has set a strict rule: Football AI Pro cannot be used during live match play. FIFA’s innovation team stresses that artificial intelligence acts only as an assistant, never a replacement for human skill, judgment or creativity. The software can process endless match data, but it cannot copy a coach’s intuition, a referee’s sense of fair play, or a player’s spontaneous in-game brilliance. Looking ahead, the 2026 World Cup serves as a global blueprint for how AI can make top sports more equal. For decades, cutting-edge sports technology was a luxury reserved for well-funded top leagues and wealthy national teams. This tournament proves that intelligent data tools can be shared universally, letting talent — not financial power — decide which teams advance in the world’s biggest football competition. 5. Why is the AI platform developed? A. To bridge the divide. B. To maximize profits. C. To encourage creativity. D. To gain global popularity. 6. What can be learned about Football AI Pro from paragraph 3? A. It dominates live matches. B. It sets limits on language. C. It simplifies complex data. D. It determines human judgement. 7. What does the last paragraph focus on? A. Limitations of AI platforms. B. Application of intelligent data tools. C. Prospect of top football teams. D. Significance of AI-based sports tech. 8. What can be a suitable title for the text? A. Football AI Pro: A Game Controller B. FIFA World Cup: A Highly Anticipated Event C. Football AI Pro: A Capable Assistant D. Football Language Model: A Charged Service 【答案】5. A 6. C 7. D 8. C 【难度】0.77 【导语】本文主要介绍了国际足联与联想合作开发的免费AI平台Football AI Pro，它通过将复杂数据转化为易懂的战略分析，帮助各支球队平等竞争，体现了AI作为辅助工具在体育领域的公平化意义。 【详解】5. 推理判断题。根据第一段“Smaller countries with limited budgets could rarely afford dedicated data scientists or custom analytics software, creating an unfair gap in competitive preparation. (预算有限的小国很少能负担得起专门的数据科学家或定制分析软件，这在赛前准备上造成了不公平的差距。)”以及第二段“This imbalance will be largely erased at the 2026 FIFA World Cup, thanks to a full set of artificial intelligence tools co-developed by FIFA and its official tech partner Lenovo. (这种不平衡将在2026年国际足联世界杯上被大幅消除，这要归功于国际足联与其官方技术合作伙伴联想共同开发的一套完整的人工智能工具。)”可知，开发该AI平台是为了消除强弱球队之间的数据技术差距，即弥合鸿沟。 6. 细节理解题。根据第三段“It turns complicated athletic statistics into easy-to-digest outputs: written strategic summaries, highlight video clips, interactive charts and dynamic 3D field visualizations. (它将复杂的运动统计数据转化为易于理解的产出：书面战略摘要、精彩视频片段、交互式图表和动态3D球场可视化。)”可知，该平台简化了复杂的数据。 7. 主旨大意题。根据最后一段“Looking ahead, the 2026 World Cup serves as a global blueprint for how AI can make top sports more equal. (展望未来，2026年世界杯作为一个全球蓝图，展示了AI如何使顶级体育赛事更加平等。)”以及“This tournament proves that intelligent data tools can be shared universally, letting talent — not financial power — decide which teams advance in the world’s biggest football competition. (这项赛事证明，智能数据工具可以被普遍共享，让才华——而非财力——来决定哪些球队能在全球最大的足球比赛中晋级。)”可知，最后一段重点阐述了基于AI的体育科技在促进公平竞争方面的深远意义。 8. 主旨大意题。根据全文内容，尤其是第四段“FIFA’s innovation team stresses that artificial intelligence acts only as an assistant, never a replacement for human skill, judgment or creativity. (国际足联创新团队强调，人工智能仅充当助手，绝不会取代人类的技术、判断力或创造力。)”以及全文对Football AI Pro平台功能及其辅助作用的介绍可知，文章主要介绍了这款AI平台作为“得力助手”的角色，所以“足球AI Pro：一个有能力的助手”适合作为文章标题。 (3) （26-27高三上·江苏无锡·阶段检测） You finish a meal, feel completely full, and then someone opens a box of dessert. A moment ago, your body seemed finished with food. Now, suddenly, dessert sounds possible. We usually think of hunger as the only thing that drives eating. In one sense, that’s true. But modern life surrounds us with something that biology did not quite prepare us for: a constant stream of food cues — packaging, bakery windows, delivery photos… A recent study in Appetite studied why we may not be able to avoid overeating when faced with these food cues. For the study, 90 university students rated their current hunger and the desirability of eleven foods and on this basis two foods of equal rating were selected. Halfway through the experiment, they were fed one of the two foods until they no longer wanted more of it. After the meal, participants rated once again and as a result, they rated the food they ate as less desirable and the food showed “devaluation”. So far, this sounds like common sense: If you eat enough potato chips, the chips should become less tempting. If you eat enough brownies, brownies should lose some of their magic. The study confirmed that people themselves reported experiencing this. However, when researchers recorded students’ reward positivity signal in their brain, the results told a different story. The early brain signal did not shrink when participants saw images of the food they had just stuffed themselves with. The mind can “know” that a food is no longer worth pursuing, but a fast and automatic part of the brain still reacts to its cue as though it carries reward. This study helps explain one of the most frustrating aspects of eating. Overeating is not always a simple failure of willpower. It may begin earlier than that, in the split second when a food cue grabs the brain before deliberate control has had time to catch up. This suggests that self-control may not begin by erasing temptation (诱惑), but by overriding it. The first wave of evaluation may still arrive, but later processes can still step in and say no. Seen this way, self-control is not the absence of desire. It is the ability to outlast a signal that the brain continues to generate. 9. What is the modern challenge of eating? A. Wide availability of food. B. Intense biological hunger. C. Mounting emotional pressure. D. Frequent exposure to food signals. 10. What does the underlined word “devaluation” in paragraph 2 refer to? A. A drop in its market price. B. A growing attraction to people. C. A decline in its original appeal. D. A reduction in its daily supply. 11. What is the purpose of paragraph 3? A. To question the study’s findings. B. To introduce a new food experiment. C. To explain the reason behind hunger. D. To reveal the mind-brain contradiction. 12. What can we learn about self-control from the last paragraph? A. It results from the first food evaluation. B. It develops through repeated practice. C. It involves acting against lasting urges. D. It requires getting rid of desire for food. 【答案】9. D 10. C 11. D 12. C 【难度】0.76 【导语】本文主要介绍了现代环境中频繁的食物线索会触发大脑自动奖赏信号，导致人们难以抗拒诱惑而过度进食，说明自控是抑制而非消除欲望。 【详解】9. 细节理解题。根据第一段“But modern life surrounds us with something that biology did not quite prepare us for: a constant stream of food cues — packaging, bakery windows, delivery photos… (但现代生活中充斥着人类生理机制尚未完全适应的事物：源源不断的食物线索——包装、面包店橱窗、外卖照片……)”可知，现代饮食的挑战是频繁接触食物信号。 10. 词句猜测题。根据第二段“After the meal, participants rated once again and as a result, they rated the food they ate as less desirable and the food showed “devaluation”. So far, this sounds like common sense: If you eat enough potato chips, the chips should become less tempting. If you eat enough brownies, brownies should lose some of their magic. (饭后，参与者再次评分，结果，他们认为他们吃的食物没那么有吸引力，食物显示出devaluation。到目前为止，这听起来像是常识：如果你吃了足够的薯片，薯片应该会变得不那么诱人。如果你吃了足够的布朗尼，布朗尼应该会失去一些魔力。)”可知，devaluation指的是食物变得不那么诱人，食物原有吸引力的下降。 11. 推理判断题。根据第三段“However, when researchers recorded students’ reward positivity signal in their brain, the results told a different story. The early brain signal did not shrink when participants saw images of the food they had just stuffed themselves with. The mind can “know” that a food is no longer worth pursuing, but a fast and automatic part of the brain still reacts to its cue as though it carries reward. (然而，当研究人员记录学生大脑中的奖励积极信号时，结果却有所不同。当参与者看到他们刚刚塞满自己的食物的图像时，早期的大脑信号并没有缩小。大脑可以“知道”一种食物不再值得追求，但大脑的一个快速而自动的部分仍然会对它的提示做出反应，就像它带来了奖励一样。)”可知，第三段旨在揭示大脑自动反应与主观认知之间的矛盾。 12. 细节理解题。根据最后一段“This suggests that self-control may not begin by erasing temptation (诱惑), but by overriding it. The first wave of evaluation may still arrive, but later processes can still step in and say no. Seen this way, self-control is not the absence of desire. It is the ability to outlast a signal that the brain continues to generate. (这表明，自控可能不是从消除诱惑开始，而是通过克服诱惑来实现。第一波评价可能仍会到来，但稍后的过程仍能介入并说“不”。这样看来，自控不是没有欲望。它是超越大脑持续产生的信号的能力。)”可知，自控涉及在持久的冲动面前采取行动予以抵制。 (4) （26-27高三上·江苏淮安·阶段检测） “The United States may fall behind China in AI,” warned Jensen Huang, the boss of Nvidia. That may seem surprising — for much of the past decade America has been ahead in the AI race, home to advanced companies producing frontier models. But Mr Huang’s concern related to an equally important ingredient of innovation: human talent. To better understand the flow of AI talent, The Economist conducted a study which tracked the education histories of researchers who presented papers at the December 2025 edition of the Conference on NeurIPS, the world’s largest and most influential AI gathering. Using a mixture of AI and manual search, we randomly sampled the researchers and identified their educational backgrounds. The study revealed 51% of the AI researchers began their careers in China. In 2019, just 29% did. Over the same period, the share who started out in America fell from roughly 20% to 12%. The study also shows the extent to which America’s AI efforts rely on Chinese-born researchers. Among authors working for American institutions, roughly 35% have a Chinese undergraduate degree. China is increasingly holding on to its AI talent. China prioritizes education in science, technology, engineering and maths (STEM): around two-fifths of Chinese university students study STEM subjects, roughly double America’s share. At the same time, initiatives to attract talented researchers back to China, such as the Qiming Plan, offer salaries of more than 700,000 yuan ($100,000), generous research grants and help with housing. Meanwhile, America has become a less attractive destination. Funding cuts and visa uncertainty have unsettled would-be applicants, as has increasing suspicion of their loyalties. More are therefore heading home. America’s appeal has not disappeared. But the numbers increasingly favour China. Around 37% of the world’s top AI researchers now work in Chinese organizations, compared with 32% in American ones. The battle for talent looks increasingly one-sided. 13. How does Huang view the rise of AI in China? A. Anxious. B. Skeptical. C. Neutral. D. Unconcerned. 14. What is paragraph 2 mainly about? A. The survey result. B. The research design. C. The study background. D. The technical challenge. 15. What can we learn from the study? A. Chinese AI talent takes the lead. B. American institutions value talents. C. AI professionals earn higher degrees. D. America is no longer attractive to talents. 16. How does China hold on to its AI talents? A. By building loyalty and issuing visas. B. By offering education and providing funding. C. By raising investment and opening campuses. D. By cultivating specialists and welcoming foreigners. 【答案】13. A 14. B 15. A 16. B 【难度】0.76 【导语】本文主要介绍的是《经济学人》关于全球人工智能人才流动的一项研究，揭示了中国AI人才崛起、美国吸引力下降的趋势，以及中国留住人才的政策措施。 【详解】13. 推理判断题。根据第一段““The United States may fall behind China in AI,” warned Jensen Huang, the boss of Nvidia. (‘美国在人工智能方面可能落后于中国。’英伟达老板黄仁勋警告道。)”可知，黄仁勋对中国AI的崛起持担忧态度。 14. 主旨大意题。根据第二段“To better understand the flow of AI talent, The Economist conducted a study which tracked the education histories of researchers who presented papers at the December 2025 edition of the Conference on NeurIPS, the world’s largest and most influential AI gathering. Using a mixture of AI and manual search, we randomly sampled the researchers and identified their educational backgrounds. (为了更好地了解AI人才的流动，《经济学人》开展了一项研究，追踪在2025年12月NeurIPS会议上发表论文的研究人员的教育经历。NeurIPS是世界上最大、最具影响力的AI会议。我们结合使用AI和人工搜索，随机抽样研究人员并确定他们的教育背景。)”可知，第二段主要介绍的是研究的设计方法。 15. 推理判断题。根据第三段“The study revealed 51% of the AI researchers began their careers in China. In 2019, just 29% did. Over the same period, the share who started out in America fell from roughly 20% to 12%. (研究显示，51%的AI研究人员在中国开始他们的职业生涯。2019年，这一比例仅为29%。在同一时期，在美国开始职业生涯的比例从约20%下降到12%。)”以及最后一段“Around 37% of the world’s top AI researchers now work in Chinese organizations, compared with 32% in American ones. (约37%的世界顶尖AI研究人员现在在中国的机构工作，而在美国机构工作的比例为32%。)”可知，中国AI人才已占据领先地位。 16. 细节理解题。根据第四段“China prioritizes education in science, technology, engineering and maths (STEM): around two‑fifths of Chinese university students study STEM subjects, roughly double America’s share. At the same time, initiatives to attract talented researchers back to China, such as the Qiming Plan, offer salaries of more than 700,000 yuan ($100,000), generous research grants and help with housing. (中国优先发展科学、技术、工程和数学（STEM）教育：约五分之二的中国大学生学习STEM科目，大约是美国的两倍。同时，吸引优秀研究人员回国的举措，如启明计划，提供超过70万元（10万美元）的薪水、丰厚的研究资助和住房帮助。)”可知，中国通过提供教育（重视STEM教育培养人才）和资金支持（高薪、研究资助、住房帮助）来留住AI人才。 (5) （26-27高三上·江苏徐州·开学考试） From live speech translation in video calls to auto-dubbing on TikTok, real-time translation powered by artificial intelligence(AI) is now embedded in everyday life. All this raises a vital question. If machines can do this faster and more accurately than humans, is investing years in learning another language still worth it? Our recent study examined cognitive performance in 94 adults aged 18 to 83, using both visuospatial and auditory tasks across working memory, attention and inhibition. Put simply, we looked at how people process and respond to information they see or mentally map out in space(visuospatial) and information they hear(auditory). Examples include remembering sounds, focusing on visual patterns, or ignoring distractions. Our study measured multilingualism as a spectrum, not a category. This allowed us to capture diverse language backgrounds and experiences. Multilingual participants spoke a range of languages with varying levels of proficiency and daily use, reflecting the linguistic diversity common within multicultural communities. Across most tasks, multilinguals and monolinguals performed similarly. However, one pattern was striking. Individuals with richer, more diverse multilingual experience showed markedly better performance in visuospatial working memory. These effects were most pronounced in older people. This suggests that multilingual experience doesn’t broadly enhance cognition, like some headlines claim. Instead, it may help preserve specific functions over time. Separate population-level research has also linked multilingualism to later onset of Alzheimer’s disease and better overall ageing outcomes, though the mechanisms continue to be debated. Overall, however, it appears that sustained use of multiple languages represents a form of mental activity with effects that accumulate across a lifetime. AI translation excels at speed and accessibility. For many practical purposes, it works remarkably well. AI will continue to change how we engage with language learning. It can personalize instruction, minimize barriers and provide feedback at scale. But it can’t replace the cognitive work that comes from learning a language. This work builds and preserves the mental sharpness that sustains us across a lifetime. And this difference still matters. 17. Why does the author mention “live speech translation” and “auto-dubbing” in paragraph 1? A. To choose one as the topic. B. To invite further reflection. C. To recommend translation apps. D. To praise technological advances. 18. What do we know about the recent study? A. Its method is totally traditional. B. Its process is very time-consuming. C. Its subjects are distributed across ages. D. Its results match most previous claims. 19. What does the last paragraph mainly talk about? A. AI translation excels in a wide range of aspects. B. AI will not shake the value of language learning. C. AI era greatly changes how people use a language. D. AI has a long way to go before doing cognitive work. 20. Where is the article most probably taken from? A. A science magazine. B. A local news update. C. A technological brochure. D. An English-learning guide. 【答案】17. B 18. C 19. B 20. A 【难度】0.72 【导语】本文主要探讨人工智能实时翻译技术广泛应用催生的重要议题：在机器翻译愈发精准高效的当下，耗费数年学习一门外语是否依旧值得。文章依托一项针对 94 名成年人的认知研究，揭示长期使用多种语言对特定认知能力的益处，并提出：人工智能翻译无法取代语言学习带来的认知锻炼价值。 【详解】17. 推理判断题。根据第一段“From live speech translation in video calls to auto-dubbing on TikTok, real-time translation powered by artificial intelligence(AI) is now embedded in everyday life. All this raises a vital question. If machines can do this faster and more accurately than humans, is investing years in learning another language still worth it? (从视频通话中的实时语音翻译到TikTok上的自动配音，由人工智能驱动的实时翻译如今已融入日常生活。这一切提出了一个至关重要的问题。如果机器能够比人类更快、更准确地完成这些任务，那么投入数年时间学习另一门语言是否还值得呢？)”可知，作者提及这两个例子是为了引出“机器翻译如此高效，学习外语是否还值得”这一值得深思的问题，即邀请读者进一步思考。 18. 细节理解题。根据第二段“Our recent study examined cognitive performance in 94 adults aged 18 to 83, using both visuospatial and auditory tasks across working memory, attention and inhibition. (我们最近的研究考察了94名18至83岁成年人的认知表现，使用了涉及工作记忆、注意力和抑制的视觉空间和听觉任务。)”可知，该研究的受试对象年龄跨度从18岁到83岁，涵盖了不同年龄段。 19. 主旨大意题。根据最后一段“AI translation excels at speed and accessibility. For many practical purposes, it works remarkably well. AI will continue to change how we engage with language learning. It can personalize instruction, minimize barriers and provide feedback at scale. But it can’t replace the cognitive work that comes from learning a language. This work builds and preserves the mental sharpness that sustains us across a lifetime. And this difference still matters. (AI翻译在速度和可及性方面表现出色。AI将继续改变我们与语言学习的互动方式，它能够实现个性化教学、减少障碍，并大规模提供反馈。但它无法取代学习语言所带来的认知训练。这种训练能够建立并维持伴随我们一生的思维敏锐度。这种差异仍然很重要。)”可知，本段主要说明AI翻译虽然强大，但不会动摇语言学习本身的价值。 20. 推理判断题。通读全文可知，文章围绕一项关于多语言使用与认知功能的科学研究展开，涉及认知科学、神经科学和人口健康等学术话题，语言风格客观严谨，具有科学研究报告的特征。因此最有可能出自科学杂志。 (6) （26-27高三上·江苏连云港·阶段检测） A team of computer scientists has created a more flexible type of machine language learning model. The AI language engines in use are mostly powered by artificial neural (神经的) networks. AI researchers can create a language model by training the networks. Through training, the information flow between neurons (神经元) improves as the networks adapt to the training data. However, if you want to create a model for two languages, you have to erase the building blocks of words — tokens (标记) — stored in the first layer of the neural networks, called the embedding layer. After erasing the tokens of the first language, you could retrain the model with the second language. The retraining was quite demanding, so researchers suggested a new technique called the periodic-forgetting approach: They periodically reset the first layer during the initial round of training. By doing this, the entire model became used to resetting and through selectively forgetting some of its knowledge, it could better learn new languages. The researchers took a commonly used language model called RoBERTa, trained it using their periodic-forgetting technique, and compared it to the same model’s performance when it was trained with the standard approach. The forgetting model did slightly worse. Then they retrained the models on other languages, using much smaller datasets of only 5 million tokens, rather than the 70 billion they used during the first training. The accuracy of the standard model decreased to 53.3 on average, but the forgetting model dropped only to 62.7. The team concluded that periodic forgetting and relearning during training sessions enable language models to achieve a deeper level of understanding of languages, beyond just knowing the meanings of individual words. The approach is akin to how our own brains work. “Human memory in general is not very good at accurately storing large amounts of detailed information, but humans tend to remember the main point of our experiences,” said Benjamin Levy, a neuroscientist. Yihong Chen, the lead author of the paper, looks forward to a world where more AI flowers appear. “I’m thinking of a situation where the world doesn’t need one big language model. We have so many,” she said. “If there’s a factory making language models, you need this kind of technique. It has one base model that can quickly adapt to new domains.” 21. How does the new technique improve the language model for two languages? A. By resetting the embedding layer regularly. B. By improving the efficiency of data input. C. By expanding the tokens from another language. D. By updating the information flow between neurons. 22. Why did the researchers use RoBERTa in their research? A. To facilitate the operation of their model. B. To test the performance of their new technique. C. To extend the general application of language models. D. To find out the drawbacks of the commonly used model. 23. What does the underlined phrase “is akin to” in paragraph 5 mean? A. Be beneficial for. B. Be reliable to. C. Be similar to. D. Be contrary to. 24. What does Yihong Chen expect of the new technique? A. It’ll change the way AI systems work. B. It’ll transform the computational capabilities of AI. C. It’ll help make language models be mass-produced. D. It’ll bring about more language models for various needs. 【答案】21. A 22. B 23. C 24. D 【难度】0.71 【导语】本文主要介绍了一种周期性遗忘新技术，通过定期重置神经网络嵌入层，使语言模型更好学习新语言，实现更深层次理解，助力模型快速适应新领域。 【详解】21. 推理判断题。根据第三段“The retraining was quite demanding, so researchers suggested a new technique called the periodic-forgetting approach: They periodically reset the first layer during the initial round of training. (重新训练要求很高，因此研究人员提出了一种称为周期性遗忘方法的新技术：他们在初始训练阶段定期重置第一层。)”可知，新技术通过定期重置嵌入层来改进语言模型。 22. 细节理解题。根据第四段“The researchers took a commonly used language model called RoBERTa, trained it using their periodic-forgetting technique, and compared it to the same model’s performance when it was trained with the standard approach. (研究人员使用了一个常用的语言模型RoBERTa，用他们的周期性遗忘技术对其进行训练，并将其与用标准方法训练的同一模型的性能进行比较。)”可知，研究人员使用RoBERTa是为了测试他们新技术在语言模型上的表现。 23. 词句猜测题。根据第五段“The approach is akin to how our own brains work. “Human memory in general is not very good at accurately storing large amounts of detailed information, but humans tend to remember the main point of our experiences,” said Benjamin Levy, a neuroscientist. (这种方法is akin to我们大脑的工作方式。神经科学家Benjamin Levy说：“人类记忆通常不太擅长准确存储大量详细信息，但人类倾向于记住我们经历的重点。”)”可知，周期性遗忘与大脑工作方式类似，is akin to意为“与……相似”。 24. 细节理解题。根据最后一段“Yihong Chen, the lead author of the paper, looks forward to a world where more AI flowers appear. “I’m thinking of a situation where the world doesn’t need one big language model. We have so many,” she said. “If there’s a factory making language models, you need this kind of technique. It has one base model that can quickly adapt to new domains.”(该论文的第一作者Yihong Chen期待一个更多AI之花绽放的世界。“我在设想一个世界不需要一个大型语言模型的情况。我们有很多，”她说。“如果有工厂制造语言模型，你需要这种技术。它有一个基础模型，可以快速适应新领域。”)”可知，Yihong Chen期望新技术能带来更多针对不同需求的语言模型。 (7) （26-27高三上·江苏连云港·开学考试） Plastic and cheap clothes are not a glorious legacy (遗产). But a scientist exploring which items from our technological civilization are most likely to survive for many millions of years as fossils (化石) has reached an ironic and instructive conclusion: Plastic and fast fashion will be our everlasting geological signature. “Plastic will definitely be a signature ‘technofossil’, because it is incredibly tough, we are making massive amounts of it, and it gets around the entire globe,” says Sarah Gabbott, a University of Leicester expert on fossils. “So wherever those future civilizations dig, they are going to find plastic.” Clothes will also make an abrupt entry into humanity’s fossil record. Today, the world’s growing population often wears mass-produced synthetic (合成的) clothing that is rapidly thrown away and they are not as easily decomposed as cotton and silk. “We are making them in ridiculous amounts,” says Gabbott. We throw them into landfills (填埋场), which are like giant mummification tombs. It is already clear that much of modern fashion will end up being truly timeless.” Fossils are not just objects left behind, but also the traces of life’s activity written into the rocks. Human activities, such as oil drilling and nuclear tests, will leave lasting scars. Humankind has also created many near-indestructible chemicals, such as dioxins and DDT. Given that similar molecules produced by bacteria have been found in rocks that are 1,600m years old in Western Australia, these chemicals appear to be here to stay. “And there is the graphite (石墨) used in pencils,” says Gabbott. “It is endearing to think that it may be the drawings of children that may survive best of all: a pencil portrait, perhaps, of a family outside a house, with the sun shining and a rainbow arcing across the sky,” she says jokingly. “The big message here is that the amount of stuff we are now making is eye-watering — it’s off the scale,” says Gabbott. All of the stuff made by humans by 1950 was a small part of all the matter on Earth. But today it outweighs all plants and animals. “This raises serious questions for us all,” she says, “Do you need that? Do you really need to buy more?” 25. What does the author think of plastic and cheap clothes as a legacy? A. Troubling. B. Short-lived. C. Technologically weak. D. Environmentally harmless. 26. What can be categorized as “technofossils”? A. Dinosaur bones. B. Cotton clothing. C. Nuclear waste. D. Silk clothes. 27. Why are “children’s drawings” mentioned in paragraph 5? A. To highlight human creativity. B. To celebrate modern technology. C. To stress that warmth of life is here to stay. D. To indicate that chemicals could be fossilized. 28. What is Gabbott’s primary concern? A. Biodiversity loss. B. Geological record accuracy. C. Technological progress. D. Overproduction of material goods. 【答案】25. A 26. C 27. D 28. D 【难度】0.68 【导语】本文介绍了科学家的研究发现：塑料、快时尚服饰等人类人造物质会成为永久留存的“技术化石”，成为人类文明独特的地质印记，并反思了当下人类过度生产物质产品的现状与隐患。 【详解】25. 推理判断题。根据第一段“Plastic and cheap clothes are not a glorious legacy (遗产). But a scientist exploring which items from our technological civilization are most likely to survive for many millions of years as fossils (化石) has reached an ironic and instructive conclusion: Plastic and fast fashion will be our everlasting geological signature. (塑料与廉价服饰并非光荣的文明遗产。但一位科学家在探究人类科技文明中，哪些物质最有可能留存数百万年成为化石时，得出了极具讽刺意味且富有启发意义的结论：塑料和快时尚服饰，将成为人类永恒的地质印记)”可知，这类不光彩的人造产物会永久留存，该现象充满讽刺与警示意味，体现出作者对此持担忧的态度。 26. 推理判断题。根据第二段“Plastic will definitely be a signature ‘technofossil’, because it is incredibly tough, we are making massive amounts of it, and it gets around the entire globe. (塑料无疑将成为一种标志性的‘技术化石’，因为它极其坚韧，我们正在大量生产它，并且它遍布全球。)”以及第五段“Human activities, such as oil drilling and nuclear tests, will leave lasting scars. (石油钻探、核试验等人类活动会留下永久性痕迹。)”可知，technofossils指代人类创造、难以降解、可留存数百万年的人造产物，核废料符合该定义，而棉质、丝绸衣物可自然降解，不属于技术化石。 27. 推理判断题。根据第五段“Humankind has also created many near-indestructible chemicals, such as dioxins and DDT... these chemicals appear to be here to stay. “And there is the graphite (石墨) used in pencils,” says Gabbott. (人类还创造了许多几乎坚不可摧的化学物质，如二恶英和滴滴涕……这些化学物质似乎会一直存在。“还有铅笔中使用的石墨，”加博特说道。)”可知，儿童画作由石墨绘制，文章列举该例子，是为佐证人造化学物质可以形成化石、长久留存的观点。 28. 细节理解题。根据最后一段“The big message here is that the amount of stuff we are now making is eye-watering — it’s off the scale...But today it outweighs all plants and animals. “This raises serious questions for us all,” she says, “Do you need that? Do you really need to buy more?” (这里要传达的重要信息是，我们现在制造的物品数量令人瞠目结舌——已经超出了常规范围……但如今，这些物品的数量超过了所有植物和动物。“你需要那个吗？你真的需要再买一些吗？”)”可知，Gabbott最核心的担忧是人类无节制、大规模的物质商品过度生产问题。 (8) （26-27高三上·江苏连云港·阶段检测） It seems like every day a new study finds microplastics where they should not be: in our bodies and our food, water and air. Yet finding and identifying microplastics is extremely challenging, especially given their small size. Additionally, it can be hard for researchers to avoid unintentionally polluting their samples, because these plastics are practically everywhere. As a result, much of this research may be overestimating the number of microplastics. In the study published in March 2026, our team found that, even when following established procedures, using certain methods to measure environmental microplastics can potentially contaminate (污染) the results. As chemists at the University of Michigan, we set out to understand how many microplastics Michiganders were breathing in when outside. We followed all the standard procedures, but we found plastic counts in the air that were over 1,000 times greater than previous reports. We knew these numbers didn’t seem right, so what happened? Ultimately, we concluded that laboratory gloves, which the scientific community recommends using as a best practice, can transfer particles (微粒) to the surface of our samples. Here’s how: The particles, which we identified as stearate salts, are used to help the gloves release from their model during the production process. When gloves are used to handle laboratory equipment, the particles are transferred to anything they touch. Researchers use vibrational spectroscopy (振动光谱) to identify microplastics, which involves measuring how the particle interacts with light. Because microplastics and stearate salts have very similar structures, they also interact with light in a similar way. This structural similarity makes it difficult to distinguish them using vibrational spectroscopy to determine whether a particle is plastic. Glove remains may be increasingly mistaken for microplastics. While we had to abandon our initial dataset, we expect the lessons we learned about glove pollution to reach other scientists. Definitely, we’ll continue our research — but this time without gloves. 29. What problem with microplastic research is stressed? A. The severity of plastic pollution. B. The challenge of recycling microplastics. C. The difficulty in collecting plastics. D. The misjudgment in microplastic detection. 30. What did the Michigan chemists originally aim to study? A. To figure out how to prevent sample pollution. B. To analyse residents’ outdoor microplastic intake. C. To evaluate microplastics’ effects on Michiganders. D. To confirm a proper microplastic measuring method. 31. How do the Michigan chemists view vibrational spectroscopy? A. It fails to recognize stearate salts. B. It changes the structure of tiny particles. C. It shortens the testing procedure. D. It detects similar-sized plastic particles. 32. What is a suitable title for the text? A. Testing Tools: Key to Spotting Tiny Plastics. B. The Overestimation of Microplastics in Studies. C. Lab Gloves: A Hidden Source of Detection Error. D. A New Method to Detect Microplastics Accurately. 【答案】29. D 30. B 31. A 32. C 【难度】0.65 【导语】本文主要介绍科研人员发现实验室手套会释放微粒干扰检测，导致微塑料研究结果数值偏高，分析了该误差产生的原理并提出改进研究方案。 【详解】29. 细节理解题。根据第一段中的“As a result, much of this research may be overestimating the number of microplastics.(因此，许多此类研究可能高估了微塑料的数量。)”以及第五段中的“Glove remains may be increasingly mistaken for microplastics.(手套残留物可能越来越多地被误认为是微塑料。)”可知，文章重点强调的是微塑料检测中存在误判的问题。 30. 细节理解题。根据第二段中的“As chemists at the University of Michigan, we set out to understand how many microplastics Michiganders were breathing in when outside.(作为密歇根大学的化学研究者，我们原本打算弄清楚密歇根居民在户外会吸入多少微塑料。)”可知，这群化学研究者最初的研究目标是分析居民户外吸入的微塑料量。 31. 推理判断题。根据第五段中的“Because microplastics and stearate salts have very similar structures, they also interact with light in a similar way. This structural similarity makes it difficult to distinguish them using vibrational spectroscopy to determine whether a particle is plastic.(由于微塑料和硬脂酸盐结构十分相似，它们与光线的作用方式也相近。这种结构相似性导致依靠振动光谱很难区分二者，无法判断微粒是否为塑料。)”可知，振动光谱无法识别区分硬脂酸盐，容易将其误判为微塑料。 32. 通读全文，文章核心在于揭示实验室手套残留的硬脂酸盐微粒会导致微塑料检测出现严重误差，这一发现解释了为何既往研究可能高估了微塑料数量。C选项“Lab Gloves: A Hidden Source of Detection Error(实验室手套：检测误差的隐藏源头)”精准概括了文章的核心发现。 (9) （26-27高三上·江苏扬州·阶段检测） To determine the type and severity of a cancer, scientists usually analyze thin slices of a tumor (肿瘤) under a microscope. But to tell how the tumor is treated, scientists must perform genetic sequencing (排序) of the RNA isolated from the tumor, a process that can take weeks and costs thousands of dollars. But now, Stanford Medicine researchers have developed an artificial intelligence-powered computational program that can predict the activity of thousands of genes within tumor cells. The tool was created using data from more than 7,000 diverse tumor samples. The team showed that it could be used routinely to predict genetic variations in breast cancers and to predict patient outcomes. “This kind of software could be used to quickly identify gene signatures in patients’ tumors, speeding up clinical (临床的) decision-making and saving the health care system thousands of dollars,” said Olivier Gevaert, PhD. The researchers began with 7,584 cancer biopsies (活检) from 16 different cancer types. Each biopsy had been sliced into thin sections and prepared. After the researchers integrated their new cancer biopsies as well as other datasets, including images from thousands of healthy cells, the AI program-which they named SEQUOIA-was able to predict the expression patterns of more than 15,000 different genes from the stained images. To test the effect of SEQUOIA for clinical decision-making, Gevaert and his colleagues identified breast cancer genes that the model could accurately predict the expression of and that are already used in commercial breast cancer genomic tests. The AI model can’t yet be used in a clinical setting, but Gevaert said his team is studying its potential applications. In the future, he said, SEQUOIA could reduce the need for expensive gene expression tests. “We’ve shown how useful this could be for breast cancer, and we can now use it for all cancers,” he said. “It’s a whole new source of data that we didn’t have before.” 33. How do scientists usually find out the treatment of a tumor? A. By analyzing its thin slices. B. By using a computational program. C. By performing genetic sequencing. D. By referring to routinely collected data. 34. What can we know about SEQUOIA from the passage? A. It has been widely used. B. It can predict all genes’ activity. C. It has reduced the cost of gene tests. D. It’s likely to lessen the requirement for costly genetic tests. 35. What did Gevaert think of the future of the AI model? A. Potential. B. Useless. C. Changeable. D. Ambiguous. 36. What is the main idea of the passage? A. A new tool for analyzing tumor slices. B. An AI tool to predict tumor gene activity. C. An attempt to perform original genetic sequencing. D. AI technology to revolutionize the treatment of cancer. 【答案】33. C 34. D 35. A 36. B 【难度】0.65 【导语】这是一篇说明文，文章主要介绍了科学家开发的一种可以预测肿瘤基因活性的人工智能工具。 【详解】33. 细节理解题。根据第一段中“But to tell how the tumor is treated, scientists must perform genetic sequencing (排序) of the RNA isolated from the tumor, a process that can take weeks and costs thousands of dollars. (但为了确定如何治疗肿瘤，科学家必须对从肿瘤中分离出来的RNA进行基因测序，这一过程可能需要数周时间，耗资数千美元)”可知，科学家通常通过进行基因测序来确定如何治疗肿瘤，故选C。 34. 细节理解题。根据最后一段中“In the future, he said, SEQUOIA could reduce the need for expensive gene expression tests.(他说，在未来，SEQUOIA可以减少对昂贵的基因表达测试的需求)”可知，SEQUOIA可能会减少对昂贵的基因检测的需求，故选D。 35. 推理判断题。根据最后一段“In the future, he said, SEQUOIA could reduce the need for expensive gene expression tests. “We’ve shown how useful this could be for breast cancer, and we can now use it for all cancers,” he said. “It’s a whole new source of data that we didn’t have before.”(他说，在未来，SEQUOIA可以减少对昂贵的基因表达测试的需求。他说：“我们已经证明了这对乳腺癌是多么有用，现在我们可以用它来治疗所有癌症。”“这是一个我们以前没有的全新的数据来源。”)”可知，Gevaert认为这种人工智能模型未来很有潜力，故选A。 36. 主旨大意题。根据全文内容，结合第二段中“But now, Stanford Medicine researchers have developed an artificial intelligence-powered computational program that can predict the activity of thousands of genes within tumor cells.(但现在，斯坦福大学医学院的研究人员开发了一种人工智能驱动的计算程序，可以预测肿瘤细胞内数千个基因的活动)”可知，文章主要介绍了科学家开发的一种可以预测肿瘤基因活性的人工智能工具，故选B。 (10) （26-27高三上·江苏扬州·开学考试） A newly engineered molecule acts like a “rechargeable” solar heat battery, storing sunlight and releasing it on demand. Solar energy has one persistent weakness: it disappears at sunset. Finding a reliable way to store that energy for later use remains one of the biggest obstacles to expanding renewable power. A research team at UC Santa Barbara may have found an unexpected workaround. Instead of relying on conventional batteries, they created a small organic molecule that captures sunlight, locks that energy into its structure, and releases it later as heat. To understand the idea, Nguyen points to a familiar example. “Think of photochromic sunglasses (光致变色太阳镜). When you’re inside, they’re just clear lenses. You walk out into the sun, and they darken on their own. Come back inside, and the lenses become clear again,” Nguyen said. “That kind of reversible change is what we’re interested in. Only instead of changing color, we want to use the same idea to store energy, release it when we need it, and then reuse the material over and over.” To build this molecule, the researchers turned to DNA for inspiration. The pyrimidone structure (嘧啶酮结构) resembles a DNA component that can reversibly change its form when exposed to UV light. By creating a synthetic version, the team designed a molecule capable of repeatedly storing and releasing energy. They worked with Ken Houk, a distinguished research professor at UCLA, using computational modeling to understand how the molecule can hold energy while remaining stable for years. “We prioritized a lightweight, compact molecule design,” Nguyen said. “For this project, we cut everything we didn’t need. Anything that was unnecessary, we removed to make the molecule as compact as possible.”Unlike solar panels that generate electricity, this system stores solar energy in chemical form. The molecule behaves like a coiled spring. When exposed to sunlight, it shifts into a strained, high energy configuration. It remains in that state until triggered by heat or a catalyst, which allows it to return to its original form and release the stored energy as heat. “We typically describe it as a rechargeable solar battery,” Nguyen said. “It stores sunlight, and it can be recharged.” The critical breakthrough for Han’s group was translating high energy density into a tangible result. In the study, the researchers demonstrated that the heat released from the material was intense enough to boil water — a feat previously difficult to achieve in this field. 37. What is the key solution to solar energy’s biggest limitation? A. Using conventional batteries to store solar power B. Applying the new organic molecule to store heat C. Saving sunlight for nighttime electricity production D. Updating solar devices to generate power nonstop 38. Why did the researchers simplify and compact the structure of the molecule? A. To copy the basic form of natural human DNA B. To guarantee its high energy density for boiling water C. To improve its practical performance in real-life application D. To prevent it from changing forms under strong sunlight 39. Which diagram best shows the molecule’s energy storage and release process? A. B. C. D. 40. Which of the following is the best title for the text? A. An Innovative Molecule: Rechargeable Solar Heat Storage B. Daily Applications of Advanced DNA Technology C. Comparison Between Solar Panels and New Batteries D. Simple Methods to Produce Boiling Water 【答案】37. B 38. C 39. A 40. A 【难度】0.65 【导语】文章主要讲述新型有机分子可储存太阳能并按需释放热量。 【详解】37. 细节理解题。根据第二段中“Instead of relying on conventional batteries, they created a small organic molecule that captures sunlight, locks that energy into its structure, and releases it later as heat.(他们没有依靠传统电池，而是研发出一种小型有机分子，该分子能捕获阳光、将能量锁存在自身结构中，之后以热量形式释放出来。)”以及第一段中“Solar energy has one persistent weakness: it disappears at sunset. Finding a reliable way to store that energy for later use remains one of the biggest obstacles to expanding renewable power.(太阳能有一个长期存在的短板：日落之后能量就消失了。找到可靠方式储存太阳能供后续使用，仍是推广可再生能源最大阻碍之一。)”可知，解决太阳能短板的核心方案是使用新型有机分子储存热量。 38. 推理判断题。根据第五段中““We prioritized a lightweight, compact molecule design,” Nguyen said. “For this project, we cut everything we didn’t need. Anything that was unnecessary, we removed to make the molecule as compact as possible.”Unlike solar panels that generate electricity, this system stores solar energy in chemical form. The molecule behaves like a coiled spring. When exposed to sunlight, it shifts into a strained, high energy configuration. It remains in that state until triggered by heat or a catalyst, which allows it to return to its original form and release the stored energy as heat.(阮表示：“我们优先选择了轻量化、结构紧凑的分子设计，在这个项目里，我们砍掉了所有不必要的部分，把冗余结构全部移除，让分子尽可能小巧。”和发电的太阳能板不同，这套系统以化学形式储存太阳能，分子就像一根被拧紧的弹簧：暴露在阳光下时，它会切换到受力的高能构型，一直维持这个状态，直到被热量或催化剂触发，才会变回原本的形态，同时把储存的能量以热量的形式释放出来。)”可知，轻量化、紧凑设计是为了提升实际使用性能，方便现实应用。 39. 推理判断题。根据第五段中“The molecule behaves like a coiled spring. When exposed to sunlight, it shifts into a strained, high energy configuration. It remains in that state until triggered by heat or a catalyst, which allows it to return to its original form and release the stored energy as heat.(分子就像一根被拧紧的弹簧：暴露在阳光下时，它会切换到受力的高能构型，一直维持这个状态，直到被热量或催化剂触发，才会变回原本的形态，同时把储存的能量以热量的形式释放出来。)”可知，过程：阳光照射弹簧储能→释放热量变回原形，A图符合题意。 40. 主旨大意题。全文围绕可充能、储存太阳能热量的新型分子展开，介绍研发灵感、工作原理、优势与突破成果。“An Innovative Molecule: Rechargeable Solar Heat Storage(创新分子：可充式太阳能储热材料)”符合题意。 (11) （26-27高三上·江苏宿迁·阶段检测） Many people want to spend less time on their phones. While some suggest extreme ideas like printing out your Instagram feed, a new device called the Brick is becoming a popular solution. The small grey cube, about the size of a headphone case, claims to reduce screen time by three hours a day. To use it, you choose the apps you want to block and touch your phone to the device. To unblock your apps, you must physically tap the phone against the cube again. Reviewers declare that the Brick changed their lives. The Brick is part of a broader trend known as anti-tech tech. There are now many tools designed to remove digital temptations. For example, on an app called Forest, the longer you stay off your phone, the more virtual trees grow; eventually, the firm plants a real tree in your honor. Some people are even switching back to “dumb phones” — old-fashioned mobiles without touch screens — which are now seen as a cool and wise choice. The reason behind this trend is digital overload. Many young adults feel they must always be reachable and always be connected. According to a survey, nearly 40% of young people sleep with their phones next to them. This constant connection can lead to brainrot — a term used to describe the mental exhaustion caused by spending too much time online. People are also increasingly worried about their data privacy and harmful content found on social media. However, there is a paradox at the heart of this movement. While many young people declare they want an offline life, they often share this message on TikTok. Most digital detoxes (戒断) fail because apps are designed to draw us back. Thomas Driver, co-founder of the Brick, says the secret to anti-tech tech is to place distractions out of reach. By physically separating the unblocking tool from the phone, temptation is sidelined. 41. What is the Brick according to paragraph 1? A. An app that grows virtual trees. B. A headphone case that is easy to carry. C. A device that helps reduce phone usage. D. A smartphone that increases screen time. 42. Why does the author mention Forest and dumb phones? A. To introduce new phone apps. B. To warn people of digital risks. C. To explain the trend of anti-tech tech. D. To show they are better than the Brick. 43. What does the underlined word “paradox” in paragraph 4 mean? A. A clear solution. B. A self-contradictory situation. C. A popular agreement. D. A technological breakthrough. 44. Which of the following is the most suitable title for the passage? A. Digital Overload: A Problem to Solve B. The Brick: Blocking the Apps Forever C. Dumb Phones: Best Ways to Disconnect D. Anti-Tech Tech: Fighting Phone Addiction 【答案】41. C 42. C 43. B 44. D 【难度】0.65 【导语】文章主要介绍了名为“Brick (砖块)”的设备，它通过物理方式帮助人们减少手机使用时间，体现了一种反科技的科技趋势，并探讨了数字过载问题及其解决方案。 【详解】41. 细节理解题。根据文章第一段中的“While some suggest extreme ideas like printing out your Instagram feed, a new device called the Brick is becoming a popular solution. The small grey cube, about the size of a headphone case, claims to reduce screen time by three hours a day. (尽管有人提出诸如打印出你的Instagram动态等极端想法，但一种名为Brick的新设备正逐渐成为热门解决方案。这个小巧的灰色立方体，大小约相当于耳机盒，声称每天可减少三小时的屏幕使用时间。)”可知，Brick是一种帮助减少手机使用时间的设备。 42. 推理判断题。根据文章第二段中的“For example, on an app called Forest, the longer you stay off your phone, the more virtual trees grow; eventually, the firm plants a real tree in your honor. Some people are even switching back to “dumb phones”—old-fashioned mobiles without touch screens—which are now seen as a cool and wise choice. (例如，在一款名为“Forest”的应用程序中，你离手机越久，虚拟的树木就会长得越多；最终，公司会为你种植一棵真正的树。有些人甚至又开始使用“傻瓜手机”——即没有触摸屏的传统手机，如今这些手机被视为一种时尚而明智的选择。)”可知，作者提到 Forest应用程序和“傻瓜手机”是为了举例说明“反科技科技”这一趋势。 43. 词句猜测题。根据文章第四段中的“While many young people declare they want an offline life, they often share this message on TikTok. (虽然许多年轻人宣称他们想要离线生活，但他们经常在TikTok上分享这一信息)”可知，想要脱离网络却又通过网络平台来宣扬这一理念，这是一种“自相矛盾”的情况。因此，划线词 paradox 意为“自相矛盾的情况”。B选项“A self-contradictory situation. (一种自相矛盾的情况)”与划线词意思相近，符合题意。 44. 主旨大意题。通读全文可知，文章开篇引出了名为 Brick 的防沉迷设备，随后引出“反科技科技(anti-tech tech)”这一广泛趋势，接着分析了产生这一趋势的原因(数字过载、隐私担忧等)，最后总结了这一趋势的核心机制。因此，整篇文章的核心主题是探讨人们如何利用科技手段来对抗手机成瘾。D选项“Anti-Tech Tech: Fighting Phone Addiction(反科技科技：对抗手机成瘾)”最适合作为本文标题。 (12) （26-27高三上·江苏连云港·阶段检测） According to the World Health Organization, there is a severe shortage of mental health professionals. Roughly one-third of people with mental health conditions, especially in poor countries, receive no treatment at all. Even in wealthy nations, many cannot afford or access timely care. In response to this crisis, AI-powered chatbots have emerged as a promising alternative, offering round-the-clock, low-cost support to millions worldwide. Powered by large language models (LLMs), modern chatbots have become more advanced, able to hold natural conversations and adjust replies to suit individual users. To boost their therapeutic effects, researchers have developed specialized tools such as Therabot and Ash. Therabot, trained with simulated dialogues between therapists and patients, cut depressive symptoms by 51% in clinical trials, while Ash can select proper therapeutic methods according to users’ real feelings. Researchers also found users tend to feel less pressured to share personal troubles with an AI than with a human therapist, making the tools a dependable choice for daily mental health care. Yet AI therapy still carries obvious risks. In some extreme cases, chatbots may offer inappropriate and even harmful advice to emotionally fragile users. Besides, they often fail to spot risky crisis thoughts like suicidal tendency or intervene to correct users’ unhealthy behaviors. Worse still, their overly agreeable replies may stop them from handling mental problems such as eating disorders properly. To strike a balance between safety and technological innovation, researchers are polishing professional AI models and equipping them with crisis detection functions. Meanwhile, governments are also taking active measures. Several US states have already introduced laws to regulate AI mental health tools and guard against potential risks. Although AI therapy cannot fully take the place of human therapists at present, it can act as a valuable first-line support for people in need. It will offer reliable mental health care to those who would otherwise have no access to professional help, as long as it is properly regulated and continuously improved. 45. What contributes to the popularity of AI mental health therapists? A. Higher accessibility. B. More natural experience. C. Better treatment effects. D. Less reliable human therapists. 46. Which of the following is a potential problem of AI mental health tools? A. They add stress to communication. B. They can’t detect unhealthy behaviors. C. They always provide improper suggestions. D. They respond to users with easy approval. 47. What can we learn from last paragraph? A. AI models have replaced human therapists. B. Governments are strictly limiting AI mental tools. C. Joint efforts are being made to improve AI therapy. D. Safety risks of AI therapy have been totally removed. 48. What’s the author’s attitude towards AI mental health therapist? A. Cautiously optimistic. B. Reasonably doubtful. C. Entirely opposed. D. Completely indifferent. 【答案】45. A 46. D 47. C 48. A 【难度】0.65 【导语】文章先介绍全球心理健康专业人员短缺的现状，引出人工智能聊天机器人成为心理健康辅助新选择，阐述其优势，接着点明AI心理治疗存在的各类隐患，最后说明科研人员与政府正携手完善管控AI心理工具，作者对其发展持谨慎乐观态度。 【详解】45. 细节理解题。根据第一段“In response to this crisis, AI-powered chatbots have emerged as a promising alternative, offering round-the-clock, low-cost support to millions worldwide.(为应对这一危机，人工智能聊天机器人成为极具前景的替代方案，为全球数百万人提供全天候、低成本的帮扶。)”可知，AI心理治疗师全天候可用、价格低廉，拥有更高的可获得性，这是它流行的原因。 46. 细节理解题。根据第三段“Worse still, their overly agreeable replies may stop them from handling mental problems such as eating disorders properly.(更糟糕的是，它们一味附和式的回复会使其无法妥善处理进食障碍等心理问题。)”可知，AI心理工具存在一味轻易认同用户言论的问题。 47. 推理判断题。根据最后一段“To strike a balance between safety and technological innovation, researchers are polishing professional AI models and equipping them with crisis detection functions. Meanwhile, governments are also taking active measures.(为在安全保障与技术创新二者之间取得平衡，研究人员在优化专业AI模型、搭载危机识别功能，与此同时政府也在采取积极举措。)”可知，科研方与政府正共同发力改进AI心理治疗。 48. 推理判断题。根据最后一段“Although AI therapy cannot fully take the place of human therapists at present, it can act as a valuable first-line support for people in need. It will offer reliable mental health care to those who would otherwise have no access to professional help, as long as it is properly regulated and continuously improved. (尽管目前AI治疗无法完全取代人类治疗师，但它可为有需求的人提供重要的一线帮扶。只要加以规范管控、持续优化升级，它就能为原本无法获得专业救助的人群提供可靠心理健康服务。)”可知，作者既看到弊端、保持谨慎，又看好其后续发展，态度为谨慎且乐观。 (13) （2026·江苏扬州·二模） Quantum (量子) computers have been on my mind a lot lately. A friend has been sending me articles on how quantum computers might help solve some of the biggest challenges we face as humans. I’ve also had exchanges with two quantum-computing experts. One is computer scientist Chris Johnson who I see as someone who helps keep the field honest. The other is physicist Philip Taylor. For decades, quantum computing has been little more than a laboratory curiosity. Now, big tech companies have invested in quantum computing, as have many smaller ones. According to Business Weekly, quantum machines could help us “cure cancer, and even take steps to turn climate change in the opposite direction.” This is the sort of hype (炒作) that annoys Johnson. He worries that researchers are making promises they can’t keep. “What’s new,” Johnson wrote, “is that millions of dollars are now potentially available to quantum computing researchers.” As quantum computing attracts more attention and funding, researchers may mislead investors, journalists, the public and, worst of all, themselves about their work’s potential. If researchers can’t keep their promises, excitement might give way to doubt, disappointment and anger, Johnson warns. Lots of other technologies have gone through stages of excitement. But something about quantum computing makes it especially prone to hype, Johnson suggests, perhaps because “‘quantum’ stands for something cool you shouldn’t be able to understand.” And that brings me back to Taylor, who suggested that I read his book Q for Quantum. After I read the book, Taylor patiently answered my questions about it. He also answered my questions about PyQuantum, the firm he co-founded in 2016. Taylor shares Johnson’s concerns about hype, but he says those concerns do not apply to PyQuantum. The company, he says, is closer than any other firm “by a very large margin ( 幅度 )” to building a “useful” quantum computer, one that “solves an impactful problem that we would not have been able to solve otherwise.” He adds, “People will naturally discount my opinions, but I have spent a lot of time quantitatively comparing what we are doing with others.” Could PyQuantum really be leading all the competition “by a wide margin”, as Taylor claims? I don’t know. I’m certainly not going to advise my friend or anyone else to invest in quantum computers. But I trust Taylor, just as I trust Johnson. 49. Regarding Johnson’s concerns, the author feels ________. A. sympathetic B. unconcerned C. doubtful D. excited 50. What leads to Taylor’s optimism about quantum computing? A. His dominance in physics. B. The competition in the field. C. His confidence in PyQuantum. D. The investment of tech companies. 51. What does the underlined word “prone” in Paragraph 3 most probably mean? A. Open. B. Cool. C. Useful. D. Resistant. 52. Which would be the best title for the passage? A. Is Johnson More Competent Than Taylor? B. Is Quantum Computing Redefining Technology? C. Will Quantum Computers Ever Come into Being? D. Will Quantum Computing Ever Live Up to Its Hype? 【答案】49. A 50. C 51. A 52. D 【难度】0.65 【导语】本文是一篇议论文。主要论述了“量子计算真的会像它的宣传那样成功吗？”，计算机科学家克里斯·约翰逊和物理学家菲利普·泰勒分别阐明了自己的观点。 【详解】49. 推理判断题。根据第三自然段“As quantum computing attracts more attention and funding, researchers may mislead investors, journalists, the public and, worst of all, themselves about their work’s potential. If researchers can’t keep their promises, excitement might give way to doubt, disappointment and anger, Johnson warns. （随着量子计算吸引了更多的关注和资金，研究人员可能会误导投资者、记者、公众，最糟糕的是，他们自己的工作潜力。约翰逊警告说，如果研究人员不能兑现承诺，兴奋可能会让位于怀疑、失望和愤怒）”根据最后一段“ But I trust Taylor, just as I trust Johnson.”（但我相信泰勒，就像我相信约翰逊一样）可知，关于约翰逊的担忧，作者是支持的。A. sympathetic同情的，赞同的；B. unconcerned不关心的；C. doubtful怀疑的；D. excited激动的。故选A。 50. 细节理解题。根据倒数第二段“The company, he says, is closer than any other firm “by a very large margin ( 幅度 )” to building a “useful” quantum computer, one that “solves an impactful problem that we would not have been able to solve otherwise.” He adds, “People will naturally discount my opinions, but I have spent a lot of time quantitatively comparing what we are doing with others.”（ 他说，这家公司比其他任何公司都“在很大程度上”接近于制造出“有用的”量子计算机，它“解决了一个有影响力的问题，否则我们无法解决这个问题”。他补充说:“人们自然会不相信我的观点，但我已经花了很多时间来定量地比较我们与他人的做法）”可知，泰勒对量子计算的乐观来源于他对PyQuantum的信心。故选C。 51. 词义猜测题。根据第三自然段“But something about quantum computing makes it especially prone to hype, Johnson suggests, perhaps because “‘quantum’ stands for something cool you shouldn’t be able to understand.”（ 但约翰逊表明，量子计算的某些方面使得它特别 prone被炒作，可能是因为“量子”代表了一些你不应该理解的酷东西。”）”可知，本句中含有一个原因状语从句，因为““量子”代表了一些你不应该理解的酷东西”，所以它特别容易被炒作。故prone意为“易于……的”。A. Open.开放的；易受损害的；B. Cool. 酷的；C. Useful. 有用的；D. Resistant. 有抵抗力的。故选A。 52. 主旨大意题。根据第二自然段“Now, big tech companies have invested in quantum computing, as have many smaller ones. According to Business Weekly, quantum machines could help us “cure cancer, and even take steps to turn climate change in the opposite direction. This is the sort of hype ( 炒作 ) that annoys Johnson.”（ 现在，大型科技公司和许多小型公司都在量子计算领域进行了投资。据《商业周刊》报道，量子机器可以帮助我们“治愈癌症，甚至采取措施将气候变化转向相反的方向。这种炒作让约翰逊感到恼火。”）”以及最后一段“Could PyQuantum really be leading all the competition “by a wide margin”, as Taylor claims? I don’t know. I’m certainly not going to advise my friend or anyone else to invest in quantum computers.（PyQuantum真的能像泰勒所说的那样“以巨大的优势”领先所有竞争对手吗？我不知道。我当然不会建议我的朋友或其他人投资量子计算机。但我信任泰勒，就像我信任约翰逊一样。）”可知，本文主要论述了“量子计算真的会像它的宣传那样成功吗？”，计算机科学家克里斯·约翰逊和物理学家菲利普·泰勒分别阐明了自己的观点。所以短文的最佳标题为“量子计算真的会像它的宣传那样成功吗？”。故选D。 (14) （2026·江苏扬州·一模） A narrow region of the eastern Pacific Ocean has been getting colder for the past 30 years, challenging global trends and confusing many scientists. Over at least three decades, the region has cooled by roughly half a degree, which has been causing scientists to wonder how long that will hold. The unusual phenomenon, known as the “cold tongue” is affecting a vast area of ocean west of South America. Scientists are not entirely certain what is keeping the “cold tongue” cool. Richard Seager, from the Earth Observatory at Columbia University, said one factor appears to be trade winds in the equatorial (赤道) region, which carry warm water away from the surface, stimulating cooler water to rise. “The trade winds blow from east to west across the tropical Pacific Ocean,” Seager said. “As the waters are driven away from the surface, water flows up from below. And since the waters below the surface are cold, this creates the ‘cold tongue’.” Yet despite the effect of these winds, the “cold tongue” has puzzled scientists, because advanced climate computer models suggest that the waters should have been warming for decades at a faster rate than the rest of the Pacific due to rising greenhouse gas emissions (排放). Pedro DiNezio of the University of Colorado Boulder, considers “It’s the most important unanswered question in climate science”. Scientists can’t predict when it will end or start warming since the cause is unknown. According to New Scientist, this has huge worldwide implications, including determining California’s permanent drought and Australia’s wildfires. More profoundly still, “it could even alter the extent of climate change globally”, the site said, “by understanding how sensitive Earth’s atmosphere is to rising greenhouse gas production”. Despite this, the overall ocean temperatures are rising. Solving the puzzle of the “cold tongue” isn’t about proving climate models wrong. Rather, the “cold tongue” is the last big piece of the puzzle. Fit that in and we can build a more accurate picture of how life will change in a warming world-and how best to prepare for that future. 53. What may be the cause of the “cold tongue”? A. The arrival of ocean currents. B. Trade winds in the equatorial regions. C. The change in the direction of water flow. D. The temperature differences between sea and land. 54. Why are scientists confused about the “cold tongue” phenomenon? A. It has lasted for many years. B. It forms a minor ocean ecosystem. C. It contradicts the global warming trend. D. It mirrors increasing carbon emissions. 55. What makes solving the “cold tongue” puzzle important? A. It can help predict droughts in California. B. It contributes to adjusting ocean temperatures. C. It can help improve the accuracy of climate models. D. It offers insights into dealing with future climate events. 56. What is the purpose of the text? A. To stress the effect of climate change. B. To introduce an unusual phenomenon. C. To explain reasons for strange natural disasters. D. To appeal to people to pay more attention to the ocean. 【答案】53. B 54. C 55. D 56. B 【难度】0.65 【导语】这是一篇说明文。本文主要介绍了“cold tongue”这个未解之谜，科学家对其成因的猜测，以及解决该问题对人类的意义。 【详解】53. 细节理解题。根据第二段的“Richard Seager, from the Earth Observatory at Columbia University, said one factor appears to be trade winds in the equatorial (赤道) region, which carry warm water away from the surface, stimulating cooler water to rise. “The trade winds blow from east to west across the tropical Pacific Ocean,” Seager said. “As the waters are driven away from the surface, water flows up from below. And since the waters below the surface are cold, this creates the ‘cold tongue’.”(来自哥伦比亚大学地球观测站的Richard Seager说，一个因素似乎是赤道地区的信风，它将温暖的水从地表带走，刺激较冷的水上升。西格尔说:“信风从东向西吹过热带太平洋。”“当海面的水被吹走时，水就从下面流上来。由于海面以下的水是冷的，这就造成了‘cold tongue’。”)”和第三段的“Yet despite the effect of these winds(然而，尽管有这些风的影响)”可知， cold tongue的形成因素可能是赤道地区的信风。故选B。 54. 细节理解题。根据第三段“Yet despite the effect of these winds, the “cold tongue” has puzzled scientists, because advanced climate computer models suggest that the waters should have been warming for decades at a faster rate than the rest of the Pacific due to rising greenhouse gas emissions (排放). (然而，尽管有这些风的影响，“cold tongue”还是让科学家们感到困惑，因为先进的气候计算机模型表明，由于温室气体排放的增加，几十年来，该水域的变暖速度应该比太平洋其他地区更快)”可知， “cold tongue”让科学家困惑，是因为这种现象与全球变暖的趋势相矛盾。故选C。 55. 细节理解题。根据最后一段中“Rather, the “cold tongue” is the last big piece of the puzzle. Fit that in and we can build a more accurate picture of how life will change in a warming world-and how best to prepare for that future. (相反，“冷舌”是最后一块拼图。考虑到这一点，我们就可以更准确地描绘出在一个变暖的世界里生命将如何变化，以及如何最好地为未来做准备)”可知，解决 “cold tongue”这个谜题很重要，是因为它提供了应对未来气候事件的见解，可以让人们为未来做最好的准备。故选D。 56. 推理判断题。通读全文，并根据第一段“A narrow region of the eastern Pacific Ocean has been getting colder for the past 30 years, challenging global trends and confusing many scientists. Over at least three decades, the region has cooled by roughly half a degree, which has been causing scientists to wonder how long that will hold.(东太平洋的一个狭窄区域在过去30年里一直在变冷，这挑战了全球趋势，也让许多科学家感到困惑。在至少30年的时间里，该地区已经冷却了大约半度，这让科学家们想知道这种情况还能持续多久)”可知，本文主要介绍了“cold tongue”这个未解之谜，科学家对其成因的猜测，以及解决该问题对人类的意义。由此推知，本文的目的是给读者介绍一种不同寻常的现象——cold tongue。故选B。 (15) （26-27高三上·江苏常州·阶段检测） A team of Cambridge psychologists conducted an experiment to compare the cognitive (认知的) effects of merely seeing art with actively judging how beautiful it is. In the study, 187 people were invited to visit Kettle’s Yard gallery during an exhibition of handmade clay objects. Participants were randomly divided into two groups: the “beauty” group was asked to actively consider and then rate the beauty of each object they viewed, while the control group just matched a line drawing of the object with the artwork itself. All participants were then tested on how they process information, and whether it’s in a more practical or abstract way. Across all participants, those in the beauty group scored almost 14% higher on average than the control group in abstract thinking. While they were told the study was about cognitive processes, participants were asked about interests, with around half saying they had an artistic hobby. Among those, the effect was greater: those with an artistic hobby in the beauty group scored over 25% higher on average for abstract thinking than those with an artistic hobby in the control group. Emotional states of participants were also measured by asking about their feelings while completing the gallery task. Across all participants, those in the beauty group reported an average of 23% higher levels of “transformative and self-transcendent feelings” — such as feeling moved, enlightened and inspired — than the control group. Importantly, however, the beauty group did not report feeling any happier than the control group, suggesting that it was the engagement with beauty that influenced abstract thinking, rather than any overall positivity from the experience. “We usually think in very concrete terms when doing something on a screen,” said Simone Schnall, senior author of the study. “It’s becoming much rarer to zone out and just let the mind wander, but that’s when we think in ways that broaden our minds. Admiring the beauty of art may be the ideal way to initiate the abstract cognitive processes.” 57. What was the beauty group asked to do with the clay objects? A. Draw their outlines. B. Give each piece a rating. C. Compare their prices. D. Make a copy of each piece. 58. Which participants got the highest score on average in the test? A. Beauty group, with an artistic hobby. B. Beauty group, without an artistic hobby. C. Control group, with an artistic hobby. D. Control group, without an artistic hobby. 59. Why were the participants’ emotional states measured? A. To discover their attitudes towards art. B. To identify their specific thinking patterns. C. To examine the difficulty of the tasks. D. To determine factors behind the test results. 60. What is the major finding of the study regarding the appreciation of art? A. It enhances emotional ties. B. It needs critical thinking skills. C. It creates positive feelings. D. It encourages abstract thinking. 【答案】57. B 58. A 59. D 60. D 【难度】0.39 【导语】主要介绍剑桥心理学家开展对照实验，对比单纯观赏艺术品和主动评判美感分别带来的认知影响，并解读实验结论：主动欣赏艺术之美能够促进抽象思维，让人跳出具体、狭隘的思维方式。 【详解】57. 细节理解题。根据第二段中的“Participants were randomly divided into two groups: the “beauty” group was asked to actively consider and then rate the beauty of each object they viewed, while the control group just matched a line drawing of the object with the artwork itself.(参与者被随机分成两组：“美感组”被要求主动思考，然后为他们所观看的每一件物品的美感打分，而对照组只是把物品的线条图和这件艺术品实物进行配对。)”可知，美感组要为每件作品打分评级。 58. 细节理解题。根据第三段中的“Among those, the effect was greater: those with an artistic hobby in the beauty group scored over 25% higher on average for abstract thinking than those with an artistic hobby in the control group. (在那些人当中，效果更加显著：美感组中有艺术爱好的受试者，其抽象思维平均分比对照组中有艺术爱好的受试者高出25%以上。)”以及第四段中的“Across all participants, those in the beauty group reported an average of 23% higher levels of “transformative and self-transcendent feelings” — such as feeling moved, enlightened and inspired — than the control group.(在所有受试者中，审美组受试者所报告的 “蜕变感与自我超越感”（诸如感动、豁然开朗、备受鼓舞这类情绪）平均水平，比对照组高出23%。)”可知，拥有艺术爱好的美感组成员测试平均分最高。 59. 推理判断题。根据第四段中的“Emotional states of participants were also measured by asking about their feelings while completing the gallery task. Across all participants, those in the beauty group reported an average of 23% higher levels of “transformative and self-transcendent feelings” — such as feeling moved, enlightened and inspired — than the control group. Importantly, however, the beauty group did not report feeling any happier than the control group, suggesting that it was the engagement with beauty that influenced abstract thinking, rather than any overall positivity from the experience.(研究人员还通过询问受试者在参观美术馆任务过程中的内心感受，测评了他们的情绪状态。在全部受试者里，美感组汇报的“蜕变感与自我超越感”（例如心生触动、豁然开悟、备受鼓舞等感受）平均分值，比对照组高出23%。但关键的一点是，美感组并未表示自己比对照组更快乐。这就说明，是对美的感知体验影响了抽象思维能力，而非这段经历带来的整体积极情绪在起作用。)”可知，研究者通过检测情绪，排除了积极情绪干扰，找到了造成两组测试分数差距的真实原因，也就是确定测试结果背后的影响因素。 60. 推理判断题。根据第一段的“A team of Cambridge psychologists conducted an experiment to compare the cognitive (认知的) effects of merely seeing art with actively judging how beautiful it is.(剑桥大学的一组心理学家进行了一项实验，旨在比较仅仅观看艺术作品与主动评判其美感所产生的认知效应。)”；第三段中的“Across all participants, those in the beauty group scored almost 14% higher on average than the control group in abstract thinking.(在所有参与者中，美感组的抽象思维平均分比对照组高出近 14%。)”以及第五段中的“Admiring the beauty of art may be the ideal way to initiate the abstract cognitive processes.(欣赏艺术之美或许是启动抽象认知过程的理想途径。)”可知，实验全程数据都体现出主动品鉴艺术美感可以提升抽象思维得分，研究者最终也证实欣赏艺术能够启动抽象认知过程，因此推断欣赏艺术之美促进抽象思维。 试卷第1页（共3页） 试卷第1页（共3页） 学科网（北京）股份有限公司 $ 2026-2027学年最新高考模拟卷 阅读理解之科技类 说明文专练（一） (1) （2026·江苏南京·模拟预测） Beneath the ocean’s surface lies a secret world of light. While bioluminescence — the ability of living things to produce their own light — has long interested scientists, a lesser-known phenomenon called bio-fluorescence (生物荧光) is now stealing the spotlight. Bio-fluorescence occurs when sea animals absorb light at one wavelength and send it out at another, creating vivid lights in colors like green, red, or orange. Unlike bioluminescence, which produces light through chemical reactions, bio-fluorescence depends on absorbing light from outside to glow. This natural light show is not just for beauty; it serves critical survival functions. In the coral reefs (珊瑚礁) of the Pacific, researchers observed corals sending out green light under blue light. “It’s a dance of partnership guided by light,” explains marine biologist Dr. Kenji Nakamura. Without this interaction, coral bleaching (白化) — a major threat to coral ecosystems — would speed up. Another wonder comes from the Hawaiian bobtail squid (短尾乌贼). When threatened by hunters, it releases a cloud of bio-fluorescent ink. The sudden burst of light confuses attackers, buying the squid precious seconds to escape. Dr. Emily Carter who led the study notes, “This is evolution’s version of a smoke screen — but far more shining.” The discovery of GFP — green fluorescent protein (绿色荧光蛋白) — in jellyfish in 1962 revolutionized science. Researchers realized GFP could be used to mark specific cells, making invisible processes visible. Today, it lights up nerve cells in brain studies, helping map out connections in diseases like Alzheimer’s. “GFP is a window into the brain’s hidden workings,” says brain scientist Dr. Maria Gonzalez. Scientists are now copying bio-fluorescence to develop sustainable technologies. For example, fluorescent proteins inspire energy-efficient LED lighting, and bio-fluorescent markers could improve medical imaging. “Nature’s designs are blueprints for human innovation,” says materials scientist Dr. Raj Patel. Yet mysteries remain. Over 200 species of bio-fluorescent fish were recently discovered, their purposes still unclear. As submarines dive deeper, each expedition reveals new players in this beautiful underwater light show, proving that the ocean’s depths still guard ancient secrets. 1. How is bio-fluorescence different from bioluminescence? A. It is drawing less attention. B. It produces brighter lights. C. It needs an outside light source. D. It makes better use of chemical reactions. 2. What can we learn about the examples in paragraphs 3 and 4? A. They both describe light-based hunting methods. B. They both explain the formation of a close partnership. C. They both highlight potential threats to the environment. D. They both show survival functions of bio-fluorescence. 3. What is the main use of GFP in science? A. To protect corals from bleaching. B. To create more efficient LED lights. C. To treat the disease of Alzheimer’s. D. To visualize cells for better observation. 4. What is the best title for the text? A. Bio-fluorescence: Nature’s Hidden Light Show B. Bio-fluorescence: Nature’s Display of Beauty C. Bioluminescence: Ocean’s Ancient Magic Power D. Bioluminescence: Colourful Window into Ocean Secret (2) （26-27高三上·江苏常州·开学考试） Traditionally, deep strategic analysis required extensive financial support and massive data teams, giving wealthy footballing nations a distinct advantage. Smaller countries with limited budgets could rarely afford dedicated data scientists or custom analytics software, creating an unfair gap in competitive preparation. This imbalance will be largely erased at the 2026 FIFA World Cup, thanks to a full set of artificial intelligence tools co-developed by FIFA and its official tech partner Lenovo. The core of this AI revolution is Football AI Pro, a generative AI platform open free of charge to all 48 competing teams across Canada, Mexico and the United States. Powered by Lenovo’s advanced AI technology and built on FIFA’s tailored Football Language model, the platform processes hundreds of millions of data points from every match. It turns complicated athletic statistics into easy-to-digest outputs: written strategic summaries, highlight video clips, interactive charts and dynamic 3D field visualizations. Supporting over 15 human languages, the AI assistant lets coaches type natural-language questions before kickoff to study opposing teams’ patterns, and after games to fix their own team’s weak spots. To protect independent human coaching judgment, FIFA has set a strict rule: Football AI Pro cannot be used during live match play. FIFA’s innovation team stresses that artificial intelligence acts only as an assistant, never a replacement for human skill, judgment or creativity. The software can process endless match data, but it cannot copy a coach’s intuition, a referee’s sense of fair play, or a player’s spontaneous in-game brilliance. Looking ahead, the 2026 World Cup serves as a global blueprint for how AI can make top sports more equal. For decades, cutting-edge sports technology was a luxury reserved for well-funded top leagues and wealthy national teams. This tournament proves that intelligent data tools can be shared universally, letting talent — not financial power — decide which teams advance in the world’s biggest football competition. 5. Why is the AI platform developed? A. To bridge the divide. B. To maximize profits. C. To encourage creativity. D. To gain global popularity. 6. What can be learned about Football AI Pro from paragraph 3? A. It dominates live matches. B. It sets limits on language. C. It simplifies complex data. D. It determines human judgement. 7. What does the last paragraph focus on? A. Limitations of AI platforms. B. Application of intelligent data tools. C. Prospect of top football teams. D. Significance of AI-based sports tech. 8. What can be a suitable title for the text? A. Football AI Pro: A Game Controller B. FIFA World Cup: A Highly Anticipated Event C. Football AI Pro: A Capable Assistant D. Football Language Model: A Charged Service (3) （26-27高三上·江苏无锡·阶段检测） You finish a meal, feel completely full, and then someone opens a box of dessert. A moment ago, your body seemed finished with food. Now, suddenly, dessert sounds possible. We usually think of hunger as the only thing that drives eating. In one sense, that’s true. But modern life surrounds us with something that biology did not quite prepare us for: a constant stream of food cues — packaging, bakery windows, delivery photos… A recent study in Appetite studied why we may not be able to avoid overeating when faced with these food cues. For the study, 90 university students rated their current hunger and the desirability of eleven foods and on this basis two foods of equal rating were selected. Halfway through the experiment, they were fed one of the two foods until they no longer wanted more of it. After the meal, participants rated once again and as a result, they rated the food they ate as less desirable and the food showed “devaluation”. So far, this sounds like common sense: If you eat enough potato chips, the chips should become less tempting. If you eat enough brownies, brownies should lose some of their magic. The study confirmed that people themselves reported experiencing this. However, when researchers recorded students’ reward positivity signal in their brain, the results told a different story. The early brain signal did not shrink when participants saw images of the food they had just stuffed themselves with. The mind can “know” that a food is no longer worth pursuing, but a fast and automatic part of the brain still reacts to its cue as though it carries reward. This study helps explain one of the most frustrating aspects of eating. Overeating is not always a simple failure of willpower. It may begin earlier than that, in the split second when a food cue grabs the brain before deliberate control has had time to catch up. This suggests that self-control may not begin by erasing temptation (诱惑), but by overriding it. The first wave of evaluation may still arrive, but later processes can still step in and say no. Seen this way, self-control is not the absence of desire. It is the ability to outlast a signal that the brain continues to generate. 9. What is the modern challenge of eating? A. Wide availability of food. B. Intense biological hunger. C. Mounting emotional pressure. D. Frequent exposure to food signals. 10. What does the underlined word “devaluation” in paragraph 2 refer to? A. A drop in its market price. B. A growing attraction to people. C. A decline in its original appeal. D. A reduction in its daily supply. 11. What is the purpose of paragraph 3? A. To question the study’s findings. B. To introduce a new food experiment. C. To explain the reason behind hunger. D. To reveal the mind-brain contradiction. 12. What can we learn about self-control from the last paragraph? A. It results from the first food evaluation. B. It develops through repeated practice. C. It involves acting against lasting urges. D. It requires getting rid of desire for food. (4) （26-27高三上·江苏淮安·阶段检测） “The United States may fall behind China in AI,” warned Jensen Huang, the boss of Nvidia. That may seem surprising — for much of the past decade America has been ahead in the AI race, home to advanced companies producing frontier models. But Mr Huang’s concern related to an equally important ingredient of innovation: human talent. To better understand the flow of AI talent, The Economist conducted a study which tracked the education histories of researchers who presented papers at the December 2025 edition of the Conference on NeurIPS, the world’s largest and most influential AI gathering. Using a mixture of AI and manual search, we randomly sampled the researchers and identified their educational backgrounds. The study revealed 51% of the AI researchers began their careers in China. In 2019, just 29% did. Over the same period, the share who started out in America fell from roughly 20% to 12%. The study also shows the extent to which America’s AI efforts rely on Chinese-born researchers. Among authors working for American institutions, roughly 35% have a Chinese undergraduate degree. China is increasingly holding on to its AI talent. China prioritizes education in science, technology, engineering and maths (STEM): around two-fifths of Chinese university students study STEM subjects, roughly double America’s share. At the same time, initiatives to attract talented researchers back to China, such as the Qiming Plan, offer salaries of more than 700,000 yuan ($100,000), generous research grants and help with housing. Meanwhile, America has become a less attractive destination. Funding cuts and visa uncertainty have unsettled would-be applicants, as has increasing suspicion of their loyalties. More are therefore heading home. America’s appeal has not disappeared. But the numbers increasingly favour China. Around 37% of the world’s top AI researchers now work in Chinese organizations, compared with 32% in American ones. The battle for talent looks increasingly one-sided. 13. How does Huang view the rise of AI in China? A. Anxious. B. Skeptical. C. Neutral. D. Unconcerned. 14. What is paragraph 2 mainly about? A. The survey result. B. The research design. C. The study background. D. The technical challenge. 15. What can we learn from the study? A. Chinese AI talent takes the lead. B. American institutions value talents. C. AI professionals earn higher degrees. D. America is no longer attractive to talents. 16. How does China hold on to its AI talents? A. By building loyalty and issuing visas. B. By offering education and providing funding. C. By raising investment and opening campuses. D. By cultivating specialists and welcoming foreigners. (5) （26-27高三上·江苏徐州·开学考试） From live speech translation in video calls to auto-dubbing on TikTok, real-time translation powered by artificial intelligence(AI) is now embedded in everyday life. All this raises a vital question. If machines can do this faster and more accurately than humans, is investing years in learning another language still worth it? Our recent study examined cognitive performance in 94 adults aged 18 to 83, using both visuospatial and auditory tasks across working memory, attention and inhibition. Put simply, we looked at how people process and respond to information they see or mentally map out in space(visuospatial) and information they hear(auditory). Examples include remembering sounds, focusing on visual patterns, or ignoring distractions. Our study measured multilingualism as a spectrum, not a category. This allowed us to capture diverse language backgrounds and experiences. Multilingual participants spoke a range of languages with varying levels of proficiency and daily use, reflecting the linguistic diversity common within multicultural communities. Across most tasks, multilinguals and monolinguals performed similarly. However, one pattern was striking. Individuals with richer, more diverse multilingual experience showed markedly better performance in visuospatial working memory. These effects were most pronounced in older people. This suggests that multilingual experience doesn’t broadly enhance cognition, like some headlines claim. Instead, it may help preserve specific functions over time. Separate population-level research has also linked multilingualism to later onset of Alzheimer’s disease and better overall ageing outcomes, though the mechanisms continue to be debated. Overall, however, it appears that sustained use of multiple languages represents a form of mental activity with effects that accumulate across a lifetime. AI translation excels at speed and accessibility. For many practical purposes, it works remarkably well. AI will continue to change how we engage with language learning. It can personalize instruction, minimize barriers and provide feedback at scale. But it can’t replace the cognitive work that comes from learning a language. This work builds and preserves the mental sharpness that sustains us across a lifetime. And this difference still matters. 17. Why does the author mention “live speech translation” and “auto-dubbing” in paragraph 1? A. To choose one as the topic. B. To invite further reflection. C. To recommend translation apps. D. To praise technological advances. 18. What do we know about the recent study? A. Its method is totally traditional. B. Its process is very time-consuming. C. Its subjects are distributed across ages. D. Its results match most previous claims. 19. What does the last paragraph mainly talk about? A. AI translation excels in a wide range of aspects. B. AI will not shake the value of language learning. C. AI era greatly changes how people use a language. D. AI has a long way to go before doing cognitive work. 20. Where is the article most probably taken from? A. A science magazine. B. A local news update. C. A technological brochure. D. An English-learning guide. (6) （26-27高三上·江苏连云港·阶段检测） A team of computer scientists has created a more flexible type of machine language learning model. The AI language engines in use are mostly powered by artificial neural (神经的) networks. AI researchers can create a language model by training the networks. Through training, the information flow between neurons (神经元) improves as the networks adapt to the training data. However, if you want to create a model for two languages, you have to erase the building blocks of words — tokens (标记) — stored in the first layer of the neural networks, called the embedding layer. After erasing the tokens of the first language, you could retrain the model with the second language. The retraining was quite demanding, so researchers suggested a new technique called the periodic-forgetting approach: They periodically reset the first layer during the initial round of training. By doing this, the entire model became used to resetting and through selectively forgetting some of its knowledge, it could better learn new languages. The researchers took a commonly used language model called RoBERTa, trained it using their periodic-forgetting technique, and compared it to the same model’s performance when it was trained with the standard approach. The forgetting model did slightly worse. Then they retrained the models on other languages, using much smaller datasets of only 5 million tokens, rather than the 70 billion they used during the first training. The accuracy of the standard model decreased to 53.3 on average, but the forgetting model dropped only to 62.7. The team concluded that periodic forgetting and relearning during training sessions enable language models to achieve a deeper level of understanding of languages, beyond just knowing the meanings of individual words. The approach is akin to how our own brains work. “Human memory in general is not very good at accurately storing large amounts of detailed information, but humans tend to remember the main point of our experiences,” said Benjamin Levy, a neuroscientist. Yihong Chen, the lead author of the paper, looks forward to a world where more AI flowers appear. “I’m thinking of a situation where the world doesn’t need one big language model. We have so many,” she said. “If there’s a factory making language models, you need this kind of technique. It has one base model that can quickly adapt to new domains.” 21. How does the new technique improve the language model for two languages? A. By resetting the embedding layer regularly. B. By improving the efficiency of data input. C. By expanding the tokens from another language. D. By updating the information flow between neurons. 22. Why did the researchers use RoBERTa in their research? A. To facilitate the operation of their model. B. To test the performance of their new technique. C. To extend the general application of language models. D. To find out the drawbacks of the commonly used model. 23. What does the underlined phrase “is akin to” in paragraph 5 mean? A. Be beneficial for. B. Be reliable to. C. Be similar to. D. Be contrary to. 24. What does Yihong Chen expect of the new technique? A. It’ll change the way AI systems work. B. It’ll transform the computational capabilities of AI. C. It’ll help make language models be mass-produced. D. It’ll bring about more language models for various needs. (7) （26-27高三上·江苏连云港·开学考试） Plastic and cheap clothes are not a glorious legacy (遗产). But a scientist exploring which items from our technological civilization are most likely to survive for many millions of years as fossils (化石) has reached an ironic and instructive conclusion: Plastic and fast fashion will be our everlasting geological signature. “Plastic will definitely be a signature ‘technofossil’, because it is incredibly tough, we are making massive amounts of it, and it gets around the entire globe,” says Sarah Gabbott, a University of Leicester expert on fossils. “So wherever those future civilizations dig, they are going to find plastic.” Clothes will also make an abrupt entry into humanity’s fossil record. Today, the world’s growing population often wears mass-produced synthetic (合成的) clothing that is rapidly thrown away and they are not as easily decomposed as cotton and silk. “We are making them in ridiculous amounts,” says Gabbott. We throw them into landfills (填埋场), which are like giant mummification tombs. It is already clear that much of modern fashion will end up being truly timeless.” Fossils are not just objects left behind, but also the traces of life’s activity written into the rocks. Human activities, such as oil drilling and nuclear tests, will leave lasting scars. Humankind has also created many near-indestructible chemicals, such as dioxins and DDT. Given that similar molecules produced by bacteria have been found in rocks that are 1,600m years old in Western Australia, these chemicals appear to be here to stay. “And there is the graphite (石墨) used in pencils,” says Gabbott. “It is endearing to think that it may be the drawings of children that may survive best of all: a pencil portrait, perhaps, of a family outside a house, with the sun shining and a rainbow arcing across the sky,” she says jokingly. “The big message here is that the amount of stuff we are now making is eye-watering — it’s off the scale,” says Gabbott. All of the stuff made by humans by 1950 was a small part of all the matter on Earth. But today it outweighs all plants and animals. “This raises serious questions for us all,” she says, “Do you need that? Do you really need to buy more?” 25. What does the author think of plastic and cheap clothes as a legacy? A. Troubling. B. Short-lived. C. Technologically weak. D. Environmentally harmless. 26. What can be categorized as “technofossils”? A. Dinosaur bones. B. Cotton clothing. C. Nuclear waste. D. Silk clothes. 27. Why are “children’s drawings” mentioned in paragraph 5? A. To highlight human creativity. B. To celebrate modern technology. C. To stress that warmth of life is here to stay. D. To indicate that chemicals could be fossilized. 28. What is Gabbott’s primary concern? A. Biodiversity loss. B. Geological record accuracy. C. Technological progress. D. Overproduction of material goods. (8) （26-27高三上·江苏连云港·阶段检测） It seems like every day a new study finds microplastics where they should not be: in our bodies and our food, water and air. Yet finding and identifying microplastics is extremely challenging, especially given their small size. Additionally, it can be hard for researchers to avoid unintentionally polluting their samples, because these plastics are practically everywhere. As a result, much of this research may be overestimating the number of microplastics. In the study published in March 2026, our team found that, even when following established procedures, using certain methods to measure environmental microplastics can potentially contaminate (污染) the results. As chemists at the University of Michigan, we set out to understand how many microplastics Michiganders were breathing in when outside. We followed all the standard procedures, but we found plastic counts in the air that were over 1,000 times greater than previous reports. We knew these numbers didn’t seem right, so what happened? Ultimately, we concluded that laboratory gloves, which the scientific community recommends using as a best practice, can transfer particles (微粒) to the surface of our samples. Here’s how: The particles, which we identified as stearate salts, are used to help the gloves release from their model during the production process. When gloves are used to handle laboratory equipment, the particles are transferred to anything they touch. Researchers use vibrational spectroscopy (振动光谱) to identify microplastics, which involves measuring how the particle interacts with light. Because microplastics and stearate salts have very similar structures, they also interact with light in a similar way. This structural similarity makes it difficult to distinguish them using vibrational spectroscopy to determine whether a particle is plastic. Glove remains may be increasingly mistaken for microplastics. While we had to abandon our initial dataset, we expect the lessons we learned about glove pollution to reach other scientists. Definitely, we’ll continue our research — but this time without gloves. 29. What problem with microplastic research is stressed? A. The severity of plastic pollution. B. The challenge of recycling microplastics. C. The difficulty in collecting plastics. D. The misjudgment in microplastic detection. 30. What did the Michigan chemists originally aim to study? A. To figure out how to prevent sample pollution. B. To analyse residents’ outdoor microplastic intake. C. To evaluate microplastics’ effects on Michiganders. D. To confirm a proper microplastic measuring method. 31. How do the Michigan chemists view vibrational spectroscopy? A. It fails to recognize stearate salts. B. It changes the structure of tiny particles. C. It shortens the testing procedure. D. It detects similar-sized plastic particles. 32. What is a suitable title for the text? A. Testing Tools: Key to Spotting Tiny Plastics. B. The Overestimation of Microplastics in Studies. C. Lab Gloves: A Hidden Source of Detection Error. D. A New Method to Detect Microplastics Accurately. (9) （26-27高三上·江苏扬州·阶段检测） To determine the type and severity of a cancer, scientists usually analyze thin slices of a tumor (肿瘤) under a microscope. But to tell how the tumor is treated, scientists must perform genetic sequencing (排序) of the RNA isolated from the tumor, a process that can take weeks and costs thousands of dollars. But now, Stanford Medicine researchers have developed an artificial intelligence-powered computational program that can predict the activity of thousands of genes within tumor cells. The tool was created using data from more than 7,000 diverse tumor samples. The team showed that it could be used routinely to predict genetic variations in breast cancers and to predict patient outcomes. “This kind of software could be used to quickly identify gene signatures in patients’ tumors, speeding up clinical (临床的) decision-making and saving the health care system thousands of dollars,” said Olivier Gevaert, PhD. The researchers began with 7,584 cancer biopsies (活检) from 16 different cancer types. Each biopsy had been sliced into thin sections and prepared. After the researchers integrated their new cancer biopsies as well as other datasets, including images from thousands of healthy cells, the AI program-which they named SEQUOIA-was able to predict the expression patterns of more than 15,000 different genes from the stained images. To test the effect of SEQUOIA for clinical decision-making, Gevaert and his colleagues identified breast cancer genes that the model could accurately predict the expression of and that are already used in commercial breast cancer genomic tests. The AI model can’t yet be used in a clinical setting, but Gevaert said his team is studying its potential applications. In the future, he said, SEQUOIA could reduce the need for expensive gene expression tests. “We’ve shown how useful this could be for breast cancer, and we can now use it for all cancers,” he said. “It’s a whole new source of data that we didn’t have before.” 33. How do scientists usually find out the treatment of a tumor? A. By analyzing its thin slices. B. By using a computational program. C. By performing genetic sequencing. D. By referring to routinely collected data. 34. What can we know about SEQUOIA from the passage? A. It has been widely used. B. It can predict all genes’ activity. C. It has reduced the cost of gene tests. D. It’s likely to lessen the requirement for costly genetic tests. 35. What did Gevaert think of the future of the AI model? A. Potential. B. Useless. C. Changeable. D. Ambiguous. 36. What is the main idea of the passage? A. A new tool for analyzing tumor slices. B. An AI tool to predict tumor gene activity. C. An attempt to perform original genetic sequencing. D. AI technology to revolutionize the treatment of cancer. (10) （26-27高三上·江苏扬州·开学考试） A newly engineered molecule acts like a “rechargeable” solar heat battery, storing sunlight and releasing it on demand. Solar energy has one persistent weakness: it disappears at sunset. Finding a reliable way to store that energy for later use remains one of the biggest obstacles to expanding renewable power. A research team at UC Santa Barbara may have found an unexpected workaround. Instead of relying on conventional batteries, they created a small organic molecule that captures sunlight, locks that energy into its structure, and releases it later as heat. To understand the idea, Nguyen points to a familiar example. “Think of photochromic sunglasses (光致变色太阳镜). When you’re inside, they’re just clear lenses. You walk out into the sun, and they darken on their own. Come back inside, and the lenses become clear again,” Nguyen said. “That kind of reversible change is what we’re interested in. Only instead of changing color, we want to use the same idea to store energy, release it when we need it, and then reuse the material over and over.” To build this molecule, the researchers turned to DNA for inspiration. The pyrimidone structure (嘧啶酮结构) resembles a DNA component that can reversibly change its form when exposed to UV light. By creating a synthetic version, the team designed a molecule capable of repeatedly storing and releasing energy. They worked with Ken Houk, a distinguished research professor at UCLA, using computational modeling to understand how the molecule can hold energy while remaining stable for years. “We prioritized a lightweight, compact molecule design,” Nguyen said. “For this project, we cut everything we didn’t need. Anything that was unnecessary, we removed to make the molecule as compact as possible.”Unlike solar panels that generate electricity, this system stores solar energy in chemical form. The molecule behaves like a coiled spring. When exposed to sunlight, it shifts into a strained, high energy configuration. It remains in that state until triggered by heat or a catalyst, which allows it to return to its original form and release the stored energy as heat. “We typically describe it as a rechargeable solar battery,” Nguyen said. “It stores sunlight, and it can be recharged.” The critical breakthrough for Han’s group was translating high energy density into a tangible result. In the study, the researchers demonstrated that the heat released from the material was intense enough to boil water — a feat previously difficult to achieve in this field. 37. What is the key solution to solar energy’s biggest limitation? A. Using conventional batteries to store solar power B. Applying the new organic molecule to store heat C. Saving sunlight for nighttime electricity production D. Updating solar devices to generate power nonstop 38. Why did the researchers simplify and compact the structure of the molecule? A. To copy the basic form of natural human DNA B. To guarantee its high energy density for boiling water C. To improve its practical performance in real-life application D. To prevent it from changing forms under strong sunlight 39. Which diagram best shows the molecule’s energy storage and release process? A. B. C. D. 40. Which of the following is the best title for the text? A. An Innovative Molecule: Rechargeable Solar Heat Storage B. Daily Applications of Advanced DNA Technology C. Comparison Between Solar Panels and New Batteries D. Simple Methods to Produce Boiling Water (11) （26-27高三上·江苏宿迁·阶段检测） Many people want to spend less time on their phones. While some suggest extreme ideas like printing out your Instagram feed, a new device called the Brick is becoming a popular solution. The small grey cube, about the size of a headphone case, claims to reduce screen time by three hours a day. To use it, you choose the apps you want to block and touch your phone to the device. To unblock your apps, you must physically tap the phone against the cube again. Reviewers declare that the Brick changed their lives. The Brick is part of a broader trend known as anti-tech tech. There are now many tools designed to remove digital temptations. For example, on an app called Forest, the longer you stay off your phone, the more virtual trees grow; eventually, the firm plants a real tree in your honor. Some people are even switching back to “dumb phones” — old-fashioned mobiles without touch screens — which are now seen as a cool and wise choice. The reason behind this trend is digital overload. Many young adults feel they must always be reachable and always be connected. According to a survey, nearly 40% of young people sleep with their phones next to them. This constant connection can lead to brainrot — a term used to describe the mental exhaustion caused by spending too much time online. People are also increasingly worried about their data privacy and harmful content found on social media. However, there is a paradox at the heart of this movement. While many young people declare they want an offline life, they often share this message on TikTok. Most digital detoxes (戒断) fail because apps are designed to draw us back. Thomas Driver, co-founder of the Brick, says the secret to anti-tech tech is to place distractions out of reach. By physically separating the unblocking tool from the phone, temptation is sidelined. 41. What is the Brick according to paragraph 1? A. An app that grows virtual trees. B. A headphone case that is easy to carry. C. A device that helps reduce phone usage. D. A smartphone that increases screen time. 42. Why does the author mention Forest and dumb phones? A. To introduce new phone apps. B. To warn people of digital risks. C. To explain the trend of anti-tech tech. D. To show they are better than the Brick. 43. What does the underlined word “paradox” in paragraph 4 mean? A. A clear solution. B. A self-contradictory situation. C. A popular agreement. D. A technological breakthrough. 44. Which of the following is the most suitable title for the passage? A. Digital Overload: A Problem to Solve B. The Brick: Blocking the Apps Forever C. Dumb Phones: Best Ways to Disconnect D. Anti-Tech Tech: Fighting Phone Addiction (12) （26-27高三上·江苏连云港·阶段检测） According to the World Health Organization, there is a severe shortage of mental health professionals. Roughly one-third of people with mental health conditions, especially in poor countries, receive no treatment at all. Even in wealthy nations, many cannot afford or access timely care. In response to this crisis, AI-powered chatbots have emerged as a promising alternative, offering round-the-clock, low-cost support to millions worldwide. Powered by large language models (LLMs), modern chatbots have become more advanced, able to hold natural conversations and adjust replies to suit individual users. To boost their therapeutic effects, researchers have developed specialized tools such as Therabot and Ash. Therabot, trained with simulated dialogues between therapists and patients, cut depressive symptoms by 51% in clinical trials, while Ash can select proper therapeutic methods according to users’ real feelings. Researchers also found users tend to feel less pressured to share personal troubles with an AI than with a human therapist, making the tools a dependable choice for daily mental health care. Yet AI therapy still carries obvious risks. In some extreme cases, chatbots may offer inappropriate and even harmful advice to emotionally fragile users. Besides, they often fail to spot risky crisis thoughts like suicidal tendency or intervene to correct users’ unhealthy behaviors. Worse still, their overly agreeable replies may stop them from handling mental problems such as eating disorders properly. To strike a balance between safety and technological innovation, researchers are polishing professional AI models and equipping them with crisis detection functions. Meanwhile, governments are also taking active measures. Several US states have already introduced laws to regulate AI mental health tools and guard against potential risks. Although AI therapy cannot fully take the place of human therapists at present, it can act as a valuable first-line support for people in need. It will offer reliable mental health care to those who would otherwise have no access to professional help, as long as it is properly regulated and continuously improved. 45. What contributes to the popularity of AI mental health therapists? A. Higher accessibility. B. More natural experience. C. Better treatment effects. D. Less reliable human therapists. 46. Which of the following is a potential problem of AI mental health tools? A. They add stress to communication. B. They can’t detect unhealthy behaviors. C. They always provide improper suggestions. D. They respond to users with easy approval. 47. What can we learn from last paragraph? A. AI models have replaced human therapists. B. Governments are strictly limiting AI mental tools. C. Joint efforts are being made to improve AI therapy. D. Safety risks of AI therapy have been totally removed. 48. What’s the author’s attitude towards AI mental health therapist? A. Cautiously optimistic. B. Reasonably doubtful. C. Entirely opposed. D. Completely indifferent. (13) （2026·江苏扬州·二模） Quantum (量子) computers have been on my mind a lot lately. A friend has been sending me articles on how quantum computers might help solve some of the biggest challenges we face as humans. I’ve also had exchanges with two quantum-computing experts. One is computer scientist Chris Johnson who I see as someone who helps keep the field honest. The other is physicist Philip Taylor. For decades, quantum computing has been little more than a laboratory curiosity. Now, big tech companies have invested in quantum computing, as have many smaller ones. According to Business Weekly, quantum machines could help us “cure cancer, and even take steps to turn climate change in the opposite direction.” This is the sort of hype (炒作) that annoys Johnson. He worries that researchers are making promises they can’t keep. “What’s new,” Johnson wrote, “is that millions of dollars are now potentially available to quantum computing researchers.” As quantum computing attracts more attention and funding, researchers may mislead investors, journalists, the public and, worst of all, themselves about their work’s potential. If researchers can’t keep their promises, excitement might give way to doubt, disappointment and anger, Johnson warns. Lots of other technologies have gone through stages of excitement. But something about quantum computing makes it especially prone to hype, Johnson suggests, perhaps because “‘quantum’ stands for something cool you shouldn’t be able to understand.” And that brings me back to Taylor, who suggested that I read his book Q for Quantum. After I read the book, Taylor patiently answered my questions about it. He also answered my questions about PyQuantum, the firm he co-founded in 2016. Taylor shares Johnson’s concerns about hype, but he says those concerns do not apply to PyQuantum. The company, he says, is closer than any other firm “by a very large margin ( 幅度 )” to building a “useful” quantum computer, one that “solves an impactful problem that we would not have been able to solve otherwise.” He adds, “People will naturally discount my opinions, but I have spent a lot of time quantitatively comparing what we are doing with others.” Could PyQuantum really be leading all the competition “by a wide margin”, as Taylor claims? I don’t know. I’m certainly not going to advise my friend or anyone else to invest in quantum computers. But I trust Taylor, just as I trust Johnson. 49. Regarding Johnson’s concerns, the author feels ________. A. sympathetic B. unconcerned C. doubtful D. excited 50. What leads to Taylor’s optimism about quantum computing? A. His dominance in physics. B. The competition in the field. C. His confidence in PyQuantum. D. The investment of tech companies. 51. What does the underlined word “prone” in Paragraph 3 most probably mean? A. Open. B. Cool. C. Useful. D. Resistant. 52. Which would be the best title for the passage? A. Is Johnson More Competent Than Taylor? B. Is Quantum Computing Redefining Technology? C. Will Quantum Computers Ever Come into Being? D. Will Quantum Computing Ever Live Up to Its Hype? (14) （2026·江苏扬州·一模） A narrow region of the eastern Pacific Ocean has been getting colder for the past 30 years, challenging global trends and confusing many scientists. Over at least three decades, the region has cooled by roughly half a degree, which has been causing scientists to wonder how long that will hold. The unusual phenomenon, known as the “cold tongue” is affecting a vast area of ocean west of South America. Scientists are not entirely certain what is keeping the “cold tongue” cool. Richard Seager, from the Earth Observatory at Columbia University, said one factor appears to be trade winds in the equatorial (赤道) region, which carry warm water away from the surface, stimulating cooler water to rise. “The trade winds blow from east to west across the tropical Pacific Ocean,” Seager said. “As the waters are driven away from the surface, water flows up from below. And since the waters below the surface are cold, this creates the ‘cold tongue’.” Yet despite the effect of these winds, the “cold tongue” has puzzled scientists, because advanced climate computer models suggest that the waters should have been warming for decades at a faster rate than the rest of the Pacific due to rising greenhouse gas emissions (排放). Pedro DiNezio of the University of Colorado Boulder, considers “It’s the most important unanswered question in climate science”. Scientists can’t predict when it will end or start warming since the cause is unknown. According to New Scientist, this has huge worldwide implications, including determining California’s permanent drought and Australia’s wildfires. More profoundly still, “it could even alter the extent of climate change globally”, the site said, “by understanding how sensitive Earth’s atmosphere is to rising greenhouse gas production”. Despite this, the overall ocean temperatures are rising. Solving the puzzle of the “cold tongue” isn’t about proving climate models wrong. Rather, the “cold tongue” is the last big piece of the puzzle. Fit that in and we can build a more accurate picture of how life will change in a warming world-and how best to prepare for that future. 53. What may be the cause of the “cold tongue”? A. The arrival of ocean currents. B. Trade winds in the equatorial regions. C. The change in the direction of water flow. D. The temperature differences between sea and land. 54. Why are scientists confused about the “cold tongue” phenomenon? A. It has lasted for many years. B. It forms a minor ocean ecosystem. C. It contradicts the global warming trend. D. It mirrors increasing carbon emissions. 55. What makes solving the “cold tongue” puzzle important? A. It can help predict droughts in California. B. It contributes to adjusting ocean temperatures. C. It can help improve the accuracy of climate models. D. It offers insights into dealing with future climate events. 56. What is the purpose of the text? A. To stress the effect of climate change. B. To introduce an unusual phenomenon. C. To explain reasons for strange natural disasters. D. To appeal to people to pay more attention to the ocean. (15) （26-27高三上·江苏常州·阶段检测） A team of Cambridge psychologists conducted an experiment to compare the cognitive (认知的) effects of merely seeing art with actively judging how beautiful it is. In the study, 187 people were invited to visit Kettle’s Yard gallery during an exhibition of handmade clay objects. Participants were randomly divided into two groups: the “beauty” group was asked to actively consider and then rate the beauty of each object they viewed, while the control group just matched a line drawing of the object with the artwork itself. All participants were then tested on how they process information, and whether it’s in a more practical or abstract way. Across all participants, those in the beauty group scored almost 14% higher on average than the control group in abstract thinking. While they were told the study was about cognitive processes, participants were asked about interests, with around half saying they had an artistic hobby. Among those, the effect was greater: those with an artistic hobby in the beauty group scored over 25% higher on average for abstract thinking than those with an artistic hobby in the control group. Emotional states of participants were also measured by asking about their feelings while completing the gallery task. Across all participants, those in the beauty group reported an average of 23% higher levels of “transformative and self-transcendent feelings” — such as feeling moved, enlightened and inspired — than the control group. Importantly, however, the beauty group did not report feeling any happier than the control group, suggesting that it was the engagement with beauty that influenced abstract thinking, rather than any overall positivity from the experience. “We usually think in very concrete terms when doing something on a screen,” said Simone Schnall, senior author of the study. “It’s becoming much rarer to zone out and just let the mind wander, but that’s when we think in ways that broaden our minds. Admiring the beauty of art may be the ideal way to initiate the abstract cognitive processes.” 57. What was the beauty group asked to do with the clay objects? A. Draw their outlines. B. Give each piece a rating. C. Compare their prices. D. Make a copy of each piece. 58. Which participants got the highest score on average in the test? A. Beauty group, with an artistic hobby. B. Beauty group, without an artistic hobby. C. Control group, with an artistic hobby. D. Control group, without an artistic hobby. 59. Why were the participants’ emotional states measured? A. To discover their attitudes towards art. B. To identify their specific thinking patterns. C. To examine the difficulty of the tasks. D. To determine factors behind the test results. 60. What is the major finding of the study regarding the appreciation of art? A. It enhances emotional ties. B. It needs critical thinking skills. C. It creates positive feelings. D. It encourages abstract thinking. 试卷第1页（共3页） 试卷第1页（共3页） 学科网（北京）股份有限公司 $