The partial pressure of oxygen was measured with blood gas analyzer ( BAYER 248 ).

Although allied Bayern, but Tony still has the happy prestige in Florence.

尽管加盟了拜仁, 但托尼在佛罗伦萨依然享有美好的声誉.

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Bayern Munich have always had a strong spine through their side.

拜仁慕尼黑队一直保持强劲脊柱通过他们这一边.

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Klose is also a reported target for Chelsea, Bayern Munich and Barcelona.

克洛斯,据报道,同时也是切尔西, 拜仁慕尼黑,巴塞罗那的目标.

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Then he had Gabriel Batistuta at Fiorentina, Oliver Kahn at Bayern Munich.

然后他无疑德罗巴更有侵略性在佛罗伦萨, 卡恩在拜仁慕尼黑.

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S : I watched the game against Bayern, and you played great.

我看了你们跟拜仁的比赛, 你踢的很好!

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We are still trying hard but Bayern are proving stubborn and resistant.

我们仍会努力尽管拜仁一直顽固坚持. 我能够理解他们但我们会尽力的.

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Chelsea are pondering a move for Bayern Munich striker Claudio Pizarro.

切尔西正在考虑引进拜仁慕尼黑射手克拉迪奥.皮萨罗.

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Bayern Munich have confirmed their interest in Chelsea winger Arjen Robben.

拜仁证实了他们对罗本的兴趣.

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Any Brazilian with a winning mentality is always welcome at Bayern!

任何带着进取心的巴西球员在拜仁都是受欢迎的!

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F-Fussballgott : Das rufen die Bayern-Fans , wenn der Stadionsprecher Schweinis Namen ruft.

进餐: 巴斯蒂喜欢吃意大利菜.

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When asked about the link with Bayern Munich, Robben Snr said: Nonsense.

当被问及与拜仁慕尼黑有联系时, 老鲁本说: 一派胡言.

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He was also a target for Manchester United, Bayern Munich and Barcelona.

他也曾是曼联, 拜仁和巴萨的目标.

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Even Stuttgart are referring to Bayern as the favourites.

甚至斯图加特也把拜仁列为其最中意的.

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Bayern Munich have joined the race for Fiorentina striker Luca Toni.

拜仁慕尼黑已经加入到对佛罗伦萨前锋卢卡.托尼的兴趣行列中.

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You expect this at Bayern where there's so much politics and in-fighting.

你想想看,这是在拜恩州,这里有如此多的政治问题以及暗斗.

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Bayesian network and Boolean network are powerful tools to genetic networks research.

布尔网络模型和贝叶斯网络模型都是研究基因调控网络的有力工具.

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At present the Bayesian networks is applied widely in each field.

摘要目前贝叶斯网络在各种领域得到了广泛的应用.

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We study the gene regulatory network of yeast using Bayesian networks.

本篇论文主题在于利用贝氏网路探讨酵母菌基因调控网路的问题.

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Compared with Bayesian classification model, experimental results show SANBC has higher accuracy.

实验结果表明,与朴素贝叶斯分类模型相比,SANBC分类模型具有较高的分类正确率.

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Tenenbaum, J . B . ( 2003 ) . Introduction to probability and Bayesian inference.

2003年 ), 《机率与贝氏推断的简介》.

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