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sentences = nltk.sent_tokenize(paragraph) words = nltk.word_tokenize(paragraph) # Spacy from spacy.lang.en import English nlp = English() sbd = nlp.create_pipe('sentencizer') nlp.add_pipe(sbd) doc = nlp(paragraph) [sent for sent in doc.sents] nlp = English() doc = nlp(paragraph) ...
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1.5 取材 实验结束后,由于疾病进展原因,Model 组大鼠剩 余6只,SBD III组大鼠剩余7只,Losartan大鼠剩余8只, 各组大鼠麻醉后腹主动脉采血,室温静置后4000 r/min 离心 10 min,分离血清,检测血清肌酐(Scr),尿素氮 (BUN)水平.留取肾组织,一半置于 4%多聚甲醛溶液 中固定,以备染色观察;另一半液氮速冻后-80 ℃...
在 SBD 算法中 ,采用拉丁超立方抽样法(Latin hypercube 第2期 庄 峻等:面向生鲜电商的前置仓选址及订单履约决策优化研究 · 193 · sam pling ,L H S)取代了蒙特卡洛抽样法来对随机参数的样本进行抽样 . 其原因是 ,采用拉丁超立方抽样法可以减少所需抽样场景数的大小 ,并且能够确 保模型解的质量 .[29,30...
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