BOAST
发表于 2025-3-23 10:24:43
Peter LaxIncludes point of injury to pre and in-hospital care.Focuses on basic physiological principles through to current controversies.Written by expert consultants (both military and civilian) across a rang
Self-Help-Group
发表于 2025-3-23 16:15:05
https://doi.org/10.1007/978-94-007-7293-9Cloud-managemenet and Service Oriented Computing; Data Analytics; Data Mining and Knowledge Discovery;
Glycogen
发表于 2025-3-23 21:13:49
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殖民地
发表于 2025-3-23 22:53:39
Fatigue Damage Map as a Virtual Tool for Fatigue Damage Tolerance,ds to develop a virtual tool able to predict the limits and the corresponding crack tip propagation rates characterising each of the fatigue stages, namely crack arrest, microstructurally and physically short crack (Stage I), long crack growth (Stage II), and Stage III growth.
全国性
发表于 2025-3-24 02:30:41
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Jargon
发表于 2025-3-24 09:17:06
https://doi.org/10.1007/978-3-322-97388-7ion active users, surely indicates that social media is not a fad. Healthcare will not go untouched by social media. The combination of social media and healthcare (medicine 2.0) will be a powerful one. Social media will impact healthcare in many ways, including reducing information asymmetry, incre
GILD
发表于 2025-3-24 13:03:16
Karl Bosch, all of which are common to labeled techniques but may introduce artifacts in assay results. Addressing several fundamental and practical aspects as to how to implement label-free methods in the drug discovery process, this book covers a wide range of topics, including binding kinetics determinatio
goodwill
发表于 2025-3-24 18:04:43
H. A. Wassenberghcating, and self-cleaning materials with applications to gre.Biomimetics in Materials Science. provides a comprehensive theoretical and practical review of biomimetic materials with self-healing, self-lubricating and self-cleaning properties. These three topics are closely related and constitute rap
scrutiny
发表于 2025-3-24 20:25:15
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VALID
发表于 2025-3-25 00:28:17
V. Čermáklmost beyond measure. But what if that data is either unavailable or problematic to access? That’s where synthetic data comes in. This book will show you how to generate synthetic data and use it to maximum effect...Synthetic Data for Deep Learning. begins by tracing the need for and development of