题干

三条轻绳结于O点,通过一轻弹簧秤将一重物悬挂起来,如图所示.已知系在竖直墙上的绳与墙成37°角,弹簧秤水平且读数为3N,求重物的质量(g=10m/s2)

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答案(点此获取答案解析)

解:重物对O点的拉力等于重力.将竖直绳对O点的拉力T沿另两绳的反方向进行分解,分力分别为T1和T2,如图所示.
则T1=mgtan37°
由已知T1=3N,
即3=mg•
3
4

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阅读以下材料,完成后面问题。
材料一:中新网1月2日电 据上海市政府新闻办公室官方微博“上海发布”消息,2014年12月31日外滩陈毅广场由于人群发生拥挤导致踩踏事故。事故发生后,上海市连夜成立工作组,统一指导善后工作。事故具体原因正在调查中。上海市委书记韩正、市长杨雄要求全力做好伤员抢救和善后处置等工作。截止今天上午,事件已造成36人死亡,49人受伤,新增两名伤者系昨天下午入院就诊确认。18人已经诊治后离院,31人继续在院治疗。其中,重伤13人,轻伤18人。已与28名伤员家属或同事取得联系。
材料二:据《法兰西晚报》1月2日报道,为确保新年庆祝活动顺利进行,总统奥朗德曾亲自视察香榭丽舍大街警察和宪兵的工作,当晚共有超过9000名警察、宪兵、军人以及青年志愿者在巴黎各处巡逻。法国安全专家介绍:“为应对意外情况,活动前我们会根据调查评估制定计划1、计划2甚至计划3,活动现场会有数千台监控器实时监控人流的来源并及时封锁入口,在疏散人流时,我们通常采用警察缓慢前进轻推人群的办法控制现场。”
材料三:美国纽约时报广场在年末的最后一天会迎来数十万甚至数百万来自世界各地的游客,然而一百多年来这里从未发生一起踩踏事件。在现场统筹指挥的纽约市警察局局长吉米·奥尼尔说:“参加跨年活动的游客很多,我们会增派人员提前将各街道分区,再将每个区用可移动栅栏圈成不同“方阵”,而且各个方阵是被严格区分开的。”值得注意的是警方在这样巨大的人流里专门安排了场所给抗议人士使用,现场有抗议组织举着“黑人无法生活”、“警察谋杀黑人青年”的抗议标牌。对此,吉米·奥尼尔说:“我们制定专门的计划应对这些相应的细节和突发事件,因为任何细节的处理不当都可能引发灾难性的后果,所以我们每次都必须准备多个预案。”
材料四:
拥挤人群中不慎倒地的自我保护动作

                                             图一                                                          图二

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阅读理解

    Every day, we are inching closer to some kind of artificial intelligence. Advances in big data, machine learning and robotics are going to give us a world where computers are effectively intelligent in terms of how we deal with them. Should you be scared by this? Absolutely, but not in the usual “robot overlords” (机器人帝国) kind of way. Instead, the real fear should be about getting human beings wrong, not getting AI right.

    The key to the technology is the ability of computers to recognize human emotions based on the ‘‘activation” of muscles in the face. A computer can identify the positions of facial muscles and use them to infer the emotional state of its user. Then the machine responds in ways that take that emotional state into account.

    One potential application of it is to provide “emotional robots” for the elderly. Having a machine that could speak in a kind way would comfort a lonely older person. That is a good thing, right? But that won't also relieve us from questioning how we ended up in a society that takes care of the elderly because we don't know what else to do with them? Can't we have more humane solutions than robots?

    “Emotion data” aren't the same thing as the real and vivid emotional experiences we human beings have. Our emotions are more than our faces or voices. How can they be pulled out like a thread, one by one, from the fabric of our being?

    Research programs can come with much philosophical concern, too. From the computers' point of view, what the computing technology captures are emotions, but at its root is a reduction of human experience whose outward expressions can be captured algorithmically (计算上). As the technology is used in the world, it can reframe the world in ways that can be hard to escape from.

    The technology will clearly have useful applications, but once it treats emotions as data, we may find that it is the only aspect of emotion we come to recognize or value. Once billions of dollars floods into this field, we will find ourselves trapped in a technology that is reducing our lives. Even worse, our “emotion data” will be used against us to make money for someone else. And that is what scares me about AI.