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Titlebook: Handbook of Blood Gas/Acid-Base Interpretation; Ashfaq Hasan Book 2013Latest edition Springer-Verlag London 2013

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樓主: Destruct
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發(fā)表于 2025-3-23 11:35:11 | 只看該作者
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發(fā)表于 2025-3-23 15:24:10 | 只看該作者
https://doi.org/10.1007/978-3-540-33734-8AINS; Alkohol; Analgetika; An?sthesie; Drogen; Intensivmedizin; Narkose; Notfall; Notfallmedizin; Opiate; Opio
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發(fā)表于 2025-3-23 18:02:20 | 只看該作者
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發(fā)表于 2025-3-24 00:42:03 | 只看該作者
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發(fā)表于 2025-3-24 05:10:09 | 只看該作者
Michel Wedel,Wagner A. Kamakuras uses of Jewish identity to construct a literary and authorial identity.. My reading will begin with the observation that Aguilar’s Jewish heroine not only bears the Catholic name “Marie,” but in contrast to Scott’s Orientalized Rebecca, is also unmarked physically, culturally, or behaviorally by h
16#
發(fā)表于 2025-3-24 07:24:29 | 只看該作者
Saara Nuutinen Ph.D.,Outi Salminen Ph.D.en Community and the Common Good”. Despite differences in their topics and the contexts they treat, the methods applied and angles adopted, all the chapters have a common?focus on Muslims as protagonists, both in the field of Islamic social work, and the Islamic thinking around it. The volume’s topi
17#
發(fā)表于 2025-3-24 11:27:38 | 只看該作者
Albert Zieglerirectly without being referred by a doctor. This leads to the problem of interpretation of test results by the patients without sufficient medical background. So, we have a situation when there is no doctor who can professionally interpret the results. This problem can be solved by a laboratory serv
18#
發(fā)表于 2025-3-24 16:43:57 | 只看該作者
Leonardo Zanatta,Marco Alvihe eye velocity/head velocity ratio, which is typically close to 1 (approximately 0.95) when the eyes are focused on a distant target. However, to stabilize images accurately, the VOR gain must vary with context. The balancing system comprises two complex processes that can be grouped into gaze stab
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發(fā)表于 2025-3-24 19:57:33 | 只看該作者
20#
發(fā)表于 2025-3-25 01:50:41 | 只看該作者
Ulrich Viebahn of different types of high-grade gliomas using T1-weighted MR images is still challenging, due to the lack of imaging biomarkers. Previous studies only focused on simple visual features, ignoring rich information provided by MR images. In this paper, we propose an automatic classification pipeline
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