生物鍾

听写于:2016-12-26 11:48 用时:20:02 正确率:91% 错词:16个

提示:红色:错误单词,绿色:补上正确单词,黄色:纠正大小写与标点

My guest today, Russell Foster, has the grand title of Professor of Circadian Neuroscience at Oxford University, which is the science speak way of saying he is he's obsessed with clocks . - not the ticking type, but rather our biological clocks and the rhythm rhythms of life. More specifically, he studies the way light controls our internal clocks and circadian rhythms , and works to understand how light and dark affect our well-being. , everything from jetlag jet lag to serious mental health problems. Russell had to fight against strong oppositions opposition from eye experts when he discovered a new way in which animals can detect light. He's written a number of books explaining how these biological clocks control our and other animals' daily lives. Russell, welcome to the Life Scientific.

Delighted to be here, Jim.

Now, does our biological makeup mean it's difficult for us to cope with our 24/7 society?

Well, yes, . We carry with a set us sort of three and a half 3. 5 billion years of evolutionary baggage and buried it embedded within our genome our are the instructions of an the internal clock. It's actually , essentially providing us with a the representation of a day within. And every aspect of our physiology is being fine-tuned to the varying demands of activity and rest. And we can't easily work against that embedded programme.

  • Words worth to be remembered:
    • circadian: adj. 昼夜节奏的,生理节奏的
    • jet lag:phr. 飞行时差综合症;时差反应
    • makeup:n. 化妆品,组成,体格,性格,【美】补考,【印】排版
    • fine-tuned:v. 调整,微调;使有规则

譯文

我今天的嘉宾罗素·福斯特拥有牛津大学生理节律神经科学教授的头衔,这是一种科学上的说法,即指他对钟着迷——可并非滴答走时的钟,而是我们的生物钟以及生命节奏。更确切地说,他研究光对我们体内的时钟和昼夜节律的控制方式,并努力理解明暗是如何对我们的身心健康产生影响的,从时差反应到严重的心理健康疾病,无所不包。当罗素发现一种动物察觉亮光的新方式时,他不得不对抗来自眼科专家的强烈反对。他已有大量著作解释这些生物时钟是如何控制我们和动物们的日常生活的。罗素,欢迎来到生命科学节目。

很高兴加入你,吉姆。

我们的生物构造是否意味着要应付全天候不停运转的社会很困难?

嗯,是的。我们可以说是身负35亿年的进化重担,而且已把这内部时钟的所有指令根植于我们的基因组中,这就像是我们体内有一个一天的模型。我们生理机能上的各个方面都随着不断变化的活动和休息的需要而做出微调。要与这植根体内的程序作对可不容易。

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王 超辰 - Chaochen Wang
Real World Evidence Scientist

All models are wrong, but some are useful.

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