Titlebook: What Radiology Residents Need to Know: Chest Radiology; Ronald L. Eisenberg Textbook 2020 Springer Nature Switzerland AG 2020 first-year r

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Ronald L. Eisenberg MD, JDcomplex problem, as many HIV infected individuals remain unaware of their infection status, leading to parts of HIV epidemics being undiagnosed and under-reported. We first present a method to learn epidemiological parameters from phylogenetic trees, using approximate Bayesian computation (ABC). The

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Ronald L. Eisenberg MD, JDexamples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals.??The book investigates the ways in which AI is impacting every part of the fashion value chain?starting with?product discovery and working backwards to manufacturing...Ar

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Ronald L. Eisenberg MD, JDcess non-continuous functions.Includes the use of neural netDevelop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the int

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Ronald L. Eisenberg MD, JDlly process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. .Artificial Neural Networks with Java. also teaches you how to prepare the data to be used in neural network d

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Ronald L. Eisenberg MD, JD different kinds of molecular switches through the use of high-speed atomic force microscope (AFM); (2) construction of photocontrollable DNA nanostructures in programmed patterns and direct visualization of the dynamic assembling process. Here, high-speed AFM was employed to observe the dynamic mov

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