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Titlebook: Unconventional Electron Microscopy for Molecular Structure Determination; W. Hoppe,R. Mason Book 1979 Springer Fachmedien Wiesbaden 1979 E

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樓主
發(fā)表于 2025-3-21 17:54:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Unconventional Electron Microscopy for Molecular Structure Determination
編輯W. Hoppe,R. Mason
視頻videohttp://file.papertrans.cn/942/941210/941210.mp4
叢書名稱Advances in structure research by diffraction methods
圖書封面Titlebook: Unconventional Electron Microscopy for Molecular Structure Determination;  W. Hoppe,R. Mason Book 1979 Springer Fachmedien Wiesbaden 1979 E
出版日期Book 1979
關(guān)鍵詞Elektronenmikroskopie; Mikroskopie; Molekularbiologie; Rastertransmissionselektronenmikroskop; Transmiss
版次1
doihttps://doi.org/10.1007/978-3-322-86362-1
isbn_softcover978-3-528-08117-1
isbn_ebook978-3-322-86362-1
copyrightSpringer Fachmedien Wiesbaden 1979
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沙發(fā)
發(fā)表于 2025-3-21 23:25:48 | 只看該作者
Advances in structure research by diffraction methodshttp://image.papertrans.cn/u/image/941210.jpg
板凳
發(fā)表于 2025-3-22 00:50:17 | 只看該作者
https://doi.org/10.1007/978-3-322-86362-1Elektronenmikroskopie; Mikroskopie; Molekularbiologie; Rastertransmissionselektronenmikroskop; Transmiss
地板
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Overview: 978-3-528-08117-1978-3-322-86362-1
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發(fā)表于 2025-3-22 16:49:14 | 只看該作者
J. Ga?mannogies involved. .This is an ideal reference book for a broad general readership including chemists, materials researchers, chemical engineers, pharmaceutical scientists and biomedical researchers, who are inter978-3-662-52082-6978-3-642-39538-3
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發(fā)表于 2025-3-23 00:33:31 | 只看該作者
ional methods the need arises for development of techniques to handle the medical data which also helps in clinical decision support. Learning based techniques help to overcome the optimization problems faced while dealing the medical data. In this study, comparative analysis of learning based metho
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發(fā)表于 2025-3-23 08:02:08 | 只看該作者
A. V. Crewe,M. S. Isaacson,E. Zeitlert any changes or adjustments to data and any security breaches involving medications are documented throughout the blockchain network. This paper uses the newly designed hybrid method of support vector machine (SVM) with logistic regression (LR) to allocate healthcare resources more effectively. IoT
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