The detail from Michio Kaku's book that provides the most cultural context about the Cold War is:
2. The Pentagon was worried that the shattered remains of the Soviet Union might be rebuilt before the United States.
Michio Kaku is a theoretical physicist born in 1947 in California. In his book "Visions: How Science Will Revolutionize the 21st Century," he discusses the scientific advances that revolutionized the 20th century and that will certainly define life now and in the future.
In the particular excerpt we are analyzing here, Kaku gives us a brief cultural context when he mentions, "The Pentagon was worried that the shattered remains of the Soviet Union might be rebuilt before the United States." This line explains that many of the scientific revolutions that occurred last century only came to fruition because the need to defeat Russia was culturally infused into Americans. The two countries were now racing to show the world which one was the most powerful, which one was the most technologically advanced.
<u>In conclusion, Kaku offers the cultural context of the Cold War as the groundwork where scientific revolutions could take place.</u>
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Learn more about Michio Kaku's thoughts here:
brainly.com/question/24280012?referrer=searchResults
The root word for a geographer is Geography if I'm right
What do u mean of the “Belling the cat”?
<span>When colliding tectonic plates folded and upthrusted</span>
Answer:
Speech Segmentation.
Explanation:
'Speech segmentation' is demonstrated as the process of identifying and recognizing the affiliation between the words, phonemes, as well as syllables employed in specific spoken language. It focuses on the context and emphasizes their study as a whole in order to promote a lexical meaning.
In the given situation, Carlos was incapable of '<u>speech segmentation</u>' as he could not understand the lexical and contextual meaning of the phrase and failed to understand its meaning as a whole. Therefore, <u>since he read the words in isolation and not as a whole, he was inefficient in 'speech-segmentation'. </u>
