材料一：在转型时期的几个世纪（15-17世纪）中，英国成功地把握了时代的脉搏，率先完成了从封建主义社会向资本主义社会过渡。期间，商人的数量和财富不仅迅速增加，而且社会地位也随之获得了提高……商人还利用自己手中掌握的财富，与英国王权紧密结合，广泛参与国家政治事务，从而使国家制定有利于商人的政策法令……这一时期，英国商人逐渐成为一支数量可观、拥有强大经济政治实力的重要社会力量，对英国的社会转型产生了不可忽视的影响……可以说没有商业和商人的推动作用，近代早期英国社会转型的完成是难以想象的。

——白永亮《近代早期英国社会转型中的商人及其作用》

材料二：明清商业相对繁荣，其中不乏豪商大贾，而称雄明清商界者又非徽商莫属。明中叶以来三百年间，从其拥有的资金到广泛的影响力，皆为一时之冠，有“无徽不成镇”之谚……他们（徽商）一方面耗费巨额利润来促使自己缙绅化，另一方面又将大量财富抛向非生产领域，诸如购置族田，建祠，修家谱，以及提倡程朱理学等，结果不是使徽州产生资本主义，而是成为一个顽固坚持传统宗法等级制的堡垒，这样的商品经济，实质上只能补充和强化自然经济。

——侯建新《社会转型时期的西欧和中国》

    AlphaGo is a computer program that plays the board game Go.

    In March, 2016, the pride of humankind was crushed (粉碎) by a computer. Google's AlphaGo defeated the South Korean grandmaster (围棋大师) Lee Sedol four games to one, as the world looked on with shock and awe (敬畏). Artificial intelligence (AI, 人工智能) had suddenly reached a new and unexpected height.

    But as smart as AlphaGo is, it's no longer the best Go “player” in the world. Google's artificial intelligence group, DeepMind, has created the next generation of its Go-playing program, called AlphaGo Zero. The new AI program is unique in the way it learned to play Go. Instead of learning from thousands of human matches, as its predecessor (前任) did, AlphaGo Zero mastered Go in just two days without any human knowledge of the game and defeated AlphaGo by day three, reported The Guardian. It then went on to defeat AlphaGo 100 games to zero.

    To learn how to play Go, AlphaGo Zero played millions of matches against itself using only the basic rules of the game to rapidly create its own knowledge of it. Like the previous version, it used “reinforcement (增强) learning to become its own teacher,” according to DeepMind's website.

    “It's more powerful than previous approaches,” David Silver, AlphaGo's lead researcher, told The Guardian, “because by not using human data, or human expertise in any fashion, we've removed the constraints (约束) of human knowledge and it is able to create knowledge itself.”

    AlphaGo Zero's approach to self-learning is a significant advancement in AI that could be applied to help solve some of the world's biggest problems, according to a recent research report published in the journal Nature. For example, DeepMind co-founder Demis Hassabis argues that AlphaGo Zero could probably find cures for a number of serious diseases within weeks, according to The Telegraph. Indeed, the AI is now being used to study protein folding, which is connected to diseases such as Parkinson's and Alzheimer's.

    So now that AI has exceeded (超过) the bounds of human knowledge, perhaps the question is not about what AI can learn from humans, but what humans can learn from AI. We can only wait and see.

某研究机构对某区域的一种田鼠进行了调查，所调查样方的总面积为2hm²．统计所捕获的鼠数量、性别等，进行标记后放归；3日后进行重捕与调查．所得到的调查数据如下表：

以下是某同学对数据的分析结果，你认为正确的是（　　）

某小型发电站发电机输出的交流电压为500V，输出的最大电功率为50kW，用电阻为3Ω的输电线向远处送电，要求输电线上损失功率为输电功率的0.6%，则发电站要安装一升压变压器，到达用户再用降压变压器变为220V供用户使用（两个变压器均为理想变压器）求：