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農(nóng)藥根據(jù)毒性不同分為劇毒、高毒、中等毒、低毒和微毒五級(jí)（）- 化學(xué)教學(xué)方法時(shí)由相互聯(lián)系著的化學(xué)教導(dǎo)方法和化學(xué)學(xué)習(xí)方法兩部分組成
- 有機(jī)肥新標(biāo)準(zhǔn)規(guī)定，有機(jī)肥技術(shù)指標(biāo)為有機(jī)質(zhì)≥45%，總養(yǎng)分≥5%（）
- 某企業(yè)上年?duì)I業(yè)收入為 1000萬(wàn)元，若預(yù)計(jì)下一年通貨膨脹率為5%，銷售量減少10%，所確定的外部融資占銷售增長(zhǎng)的百分比為25%，最多可以用于增發(fā)股利的資金為（）萬(wàn)元。
- 判斷動(dòng)物是否處于空腹?fàn)顟B(tài)的方法。
- There is a(n) ________ relationship between acceptable risk of overreliance and planned sample size.
- 清理并轉(zhuǎn)換以下字符串。刪除空格和標(biāo)點(diǎn)符號(hào)，并返回標(biāo)題字符串列表. provinces = ["beiJing!", " guangdong ", " jiangsU", " ZHEJiang?", "#ShanDONG", "ShAAnXi", "Fujian##", "yunnan?_"] cities = ["beiJing", " guagZhou ", "Nanjing ", " hangzhou?", "#QINGDAO", "Xi"An", "xiamen^_^", "_kunming!’] Then, create a list of tuples from cities and provinces and print it like this: [("Beijing", "Beijing"), ("Guagzhou", "Guangdong"), ("Nanjing", "Jiangsu"), ("Hangzhou", "Zhejiang"), ("Qingdao", "Shandong"), ("Xian", "Shaanxi"), ("Xiamen", "Fujian"), ("Kunming", "Yunnan")]
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