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Titlebook: Infection Control in Intensive Care Units by Selective Decontamination; The Use of Oral Non- Hendrik K. F. Saene,C. P. Stoutenbeek,I. McA.

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发表于 2025-3-21 17:31:08 | 显示全部楼层 |阅读模式
书目名称Infection Control in Intensive Care Units by Selective Decontamination
副标题The Use of Oral Non-
编辑Hendrik K. F. Saene,C. P. Stoutenbeek,I. McA. Ledi
视频videohttp://file.papertrans.cn/465/464466/464466.mp4
丛书名称Update in Intensive Care and Emergency Medicine
图书封面Titlebook: Infection Control in Intensive Care Units by Selective Decontamination; The Use of Oral Non- Hendrik K. F. Saene,C. P. Stoutenbeek,I. McA.
描述Selective decontamination is a technique which combines short-term and long-term antimicrobials to prevent or treat the acquisition and subsequent carriage of microorganisms causing late colonization and infections. The antimicrobials are selective in that they leave the indigenous, mostly anaerobic flora more or less intact, whilst the effective decontamination provides a genuine breakthrough in the endogenous route of pathogenesis. The improvements in decontamination techniques presented here offer significant reduction in infection related morbidity and mortality among trauma patients.
出版日期Conference proceedings 1989
关键词Sepsis; Trauma; care; infection; intensive care; intensive care unit; mortality; multiple organ failure; pre
版次1
doihttps://doi.org/10.1007/978-3-642-83752-4
isbn_softcover978-3-540-51041-3
isbn_ebook978-3-642-83752-4Series ISSN 0933-6788
issn_series 0933-6788
copyrightSpringer-Verlag Berlin Heidelberg 1989
The information of publication is updating

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I. McA. Ledinghamt labelings of the sensitive variable and combined by minimizing a cross-entropy criterion so as to find the best labeling strategy. With these two key ideas, we successfully increase the performance of Template Attacks on artificially desynchronized traces and signals from a jitter-protected implem
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H. K. F. van Saenei-variate contexts. In addition we exhibit the relationship between the LRA and the Numerical Normal Form (NNF), which has been originally introduced in the field of Boolean functions. Thanks to this relationship, we deduce the polynomial degree of the . combination of the arithmetic masking. Our im
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to automated attacks can be broken in a very short amount of time, while more robust challenges demand for big reverse engineering efforts and therefore for more time from the adversaries. Besides classifying the robustness of each challenge, we also give data regarding their size and efficiency and
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Forewordve tried to establish a balance between the underlying microbiological principles of infection acquisition and prevention, progressing clinical trials of selective decontamination, and new research areas.
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I. McA. Ledingham the knowledge of an attacker or an evaluator is not taken into account and poorly captured by solely training a classifier on signals. This paper proposes to inject prior information in preprocessing and classification in order to increase the performance of side-channel attacks (SCA). First we pro
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