ID: 24250719

Unit 2 Success Section Ⅴ LESSON 3 GETTING TO THE TOP课件(GONG 105张PPT+ 学案+ 练习)高中英语 北师大版(2019)选择性必修 第一

日期:2025-11-22 科目:英语 类型:高中课件 查看:40次 大小:2616685B 来源:二一课件通
预览图 0
Unit,PPT+,必修,选择性,2019,北师大
    Section Ⅴ LESSON 3 GETTING TO THE TOP 维度一:品句填词 1.The child       (蹦跳着走) happily along the path, enjoying the sunny day. 2.The story had all the       (元素) of a classic adventure, including mystery and heroism. 3.She stood on the       (月台), waving goodbye to her family as the train departed. 4.The storm’s       (强度) caught everyone by surprise, causing widespread damage. 5.For their road trip, they decided to      (租用) a camper van for more comfort. 6.After the heavy rain, the picnic was      (毁坏的), forcing everyone to stay indoors. 维度二:词形转换 1.They use information about life       (long), education and earnings to grade countries on human development. 2.Silence may be viewed by some cultural groups as         (extreme) uncomfortable. 3.Our troops took up       (defend) positions on high ground overlooking the river. 4.Those who refuse to take that risk       (selfish) make others suffer. 5.The new treatment could save Emma’s life and the lives of       (count) others. 6.Standards in health care have improved         (enormous) compared to 40 years ago. 维度三:固定搭配和句式 1.             (使他与众不同的) is his sense of humour. 2.He wrote a lot in his letter, which can      (归结为) it that he felt very sorry for his absence. 3.Please             (待在家里) and let me know how you are doing. 4.He has           (专心致志于) studying chemistry in the past years. 5.             (完全没道理) to suppose she’s lying. Ⅰ.阅读理解 A   NOBEL PRIZES 2024 The Nobel Prize in Physics 2024   John Hopfield; Geoffrey Hinton  ———for foundational discoveries and inventions that enable machine learning with artificial neural networks”   This year’s awardees used tools from physics to construct methods that helped lay the foundation for today’s powerful machine learning.John Hopfield created a structure that can store and reconstruct information.Geoffrey Hinton invented a method that can independently discover properties in data and which has become important for the large artificial neural networks now in use. The Nobel Prize in Chemistry 2024   David Baker  ———for computational protein design”   Demis Hassabis; John Jumper  ———for protein structure prediction”   The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious (巧妙的) chemical tools.David Baker has succeeded with the almost impossible achievement of building entirely new kinds of proteins.Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures.These discoveries hold enormous potential. The Nobel Prize in Physiology or Medicine 2024   Victor Ambros; Gary Ruvkun  ———for the discovery of microRNA and its role in post-transcriptional gene regulation”   Victor Ambros and Gary ... ...

    ~~ 您好,已阅读到文档的结尾了 ~~