Titlebook: The Future of Transport Between Digitalization and Decarbonization; Trends, Strategies a Michel Noussan,Manfred Hafner,Simone Tagliapietra

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Wolfgang Fahrenbach that were previously facing terminal disease. In this chapter, we summarise current phase 3 clinical trial evidence for the use of immunotherapy in gastrointestinal cancers (oesophageal squamous cell carcinoma, oesophago-gastric adenocarcinoma, pancreatic cancer, biliary cancer, hepatocellular carc

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,Leonardo da Vinci (1452–1519),“ als Quelle zu Gebote. Inzwischen sind durch M. . die Manuskripte .’s, die sich in der Bibliothek de l’Institut zu Paris befinden, durch Heliogravüre vervielfältigt, mit einer genauen Wiedergabe des Textes in Druckschrift und mit einer französischen Uebersetzung versehen, in sechs Foliobänden herau

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Analysis of Deformation Structures in FCC Materials Using EBSD and TEM Techniques, into well-defined dislocation boundaries (Bay et al. 1992; Hansen and Juul Jensen 1999; Hughes and Hansen 2000; Li et al. 2004). Extensive investigations using the transmission electron microscope have established that these dislocation boundaries separate volumes of different crystal orientations,

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Medical Devices in Healthcare: Where We Are and Where We Are Goinglthcare is recognised as a very complex scenario, with several critical aspects that may be difficult to manage. There are also many opportunities for physicians, bioengineers and managers to improve the quality and value of care. Technology has obviously an important role in boosting these improvem

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Cavity Quantum Electrodynamics: Rydberg Atoms in Atomic Physics and Quantum Optics of blackbody radiation, the modification of the spontaneous emission rate in confined space, and the periodic exchange of photons between Rydberg atoms and a cavity field are discussed. In the latter case, the collapse and the revival in the dynamical behaviour of the atoms are observed. Furthermor

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Dimensionality Reduction for Graph of Words Embeddinges are addressed in this article. Two well-known techniques for dimensionality reduction, kernel principal component analysis (kPCA) and independent component analysis (ICA), are applied to the embedded graphs. We discuss their performance compared to the classification of the original vectors on three different public databases of graphs.

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