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I Can Change the World with the Choice of My Food精裝的圖書 |
$ 610 ~ 631 | I Can Change the World... with the Choice of My Food精裝
作者:Ronald Wai Hong Chan 出版社:World Scientific Pub Co Inc 出版日期:2022-08-31 語言:繁體書 共 3 筆 → 查價格、看圖書介紹 |
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平日他像是一名「美食部落客」,樂於在社群媒體上分享他最愛的食物照片......但在週末,他會化身為鄰里的環保鬥士──「惜食先生」,追捕正在浪費珍貴食物的人。跟著「惜食先生」,他將向我們介紹,我們的一個小動作如何對世界的永續性產生巨大的影響。
《我可以改變世界I Can Change the World...》該系列的每冊都包含一個創意故事,強調個人行動對永續環境的重要性。透過引人入勝的敘述和全彩插圖,《我是小小科學家I’m a Little Scientist》系列向孩子們介紹激勵人心且不斷發展的科學世界。
He is Mr Food Snapper on weekdays, a food enthusiast who shares photographs of his favourite food on social media ... and Mr Food Saver on weekends, our neighbourhood eco-warrior on the prowl for people wasting precious food. Follow Mr Food Saver as he explains how one little action from us could make a huge difference to the sustainability of our world.
Every book in the I Can Change the World... collection contains a creative story that highlights the importance of individual action on environmental sustainability. Through engaging narratives and full-colour illustrations, the I''m a Little Scientist series introduces children to the exciting and ever-advancing world of science.
作者簡介:
Ronald Chan博士隸屬於新加坡科技研究局(A*STAR),目前是美國科羅拉多大學波德分校 (University of Colorado Boulder)進行博士後研究,從事空間推進和材料加工的帶電流體和等離子體的模擬研究。他於2014年於麻省理工學院獲得工程學士學位,輔修能源研究,並分別於2017 年和 2020 年獲得史丹佛大學機械工程碩士學位和博士學位,研究海洋破浪中的氣泡破裂。他的研究興趣是開發以物理為基礎的模型加入大規模的科學計算;推進清淨能源技術的高效率設計週期,以及對氣候、天氣和海洋系統的認識。
Ronald Chan is affiliated with the Agency for Science, Technology and Research, and is currently a postdoctoral associate at the University of Colorado Boulder working on simulations of electrically charged fluids and plasmas for space propulsion and materials processing. He received his BS in Engineering with a minor in Energy Studies from the Massachusetts Institute of Technology in 2014, and his MS and PhD in Mechanical Engineering from Stanford University in 2017 and 2020, respectively, focusing on bubble breakup in oceanic breaking waves. His research interests are in developing physics-based models to accelerate scientific computing of large-scale systems, with an eye towards efficient design cycles for next-generation manufacturing, propulsion and clean energy technologies, as well as a fundamental understanding of climate, weather and maritime systems.
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