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Titlebook: Influenza Virus Sialidase - A Drug Discovery Target; Mark Itzstein Book 2012 Springer Basel AG 2012 Avian influenza.Drug design.Infectious

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Smooth Muscle Cell-Proteoglycan-Lipoprotein Interactions as Drivers of Atherosclerosisin all stages of atherosclerotic lesion development. SMCs secrete the proteoglycans responsible for the initial binding and retention of atherogenic lipoproteins in the artery intima, with this retention driving foam cell formation and subsequent stages of atherosclerosis. In this chapter we review
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Towards the Sustainable Management of Whale- Watching Tourism: A Case Study of Port Phillip Bay, Australianagement is the key to a sustainable whale-watching industry and proposed an integrated and adaptive management model, combining stakeholder perspectives and operating in a dynamic two-phase environment. This study applies the model to whale-watching tourism management in Port Philip Bay (Australia)
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1614-7839 cision making within software development.Provides step-by-s.The book begins with an introduction to software reliability, models and techniques. The book is an informative book covering the strategies needed to assess software failure behaviour and its quality, as well as the application of optimiz
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Gerd Patrick Bienert,François Chaumontlem. Our algorithm is based on a symbolic construction of the “neighborhood” of a zone, and on a procedure that, given a set of zones ., builds the forward propagation of the strongly connected components which can be reached from .. This improves a symbolic algorithm of Daws and Kordy, due to the ability to handle sets of zones.
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发表于 2025-3-28 00:37:58 | 显示全部楼层
Zhuying Ran session also provides an interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations and trends in the focused area. High-quality research contributions describing original and unpublished results of conceptual, constructive, empirical
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Breath Signal Analysis for Diabetics and “not controlled”, respectively. The experimental results show that the accuracy to classify the diabetes samples can be up to 68.66%. The current prediction correct rates are not quite high, but the results are promising because it provides a possibility of noninvasive blood glucose measurement
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Poly-Logarithmic Side Channel Rank Estimation via Exponential Sampling,lent rank estimation (with roughly a 1-bit margin between lower and upper bounds), with a performance that is on-par with the Histogram algorithm: a run-time of under 1 s on a standard laptop using 6.5 MB RAM.
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