這對夫婦可能會考慮要第二個孩子，之後外科醫生會切除移植的子宮。這樣做是為了避免貝爾終身服用強效藥物來預防身體免疫系統攻擊移植器官。
（二）开设科技相关通识课程。高校应发挥科教资源优势，开设科技相关通识课程，加强科学教育和人文教育融合，满足不同专业、不同学习阶段学生需求，促进大学生科学文化素质提升。鼓励高校间开展优质科技通识课程共建共享，推动跨校选课与学分互认，促进课程资源的互联互通。，这一点在safew官方版本下载中也有详细论述
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Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.