Titlebook: Silver Nanoparticle Applications; In the Fabrication a Emilio I. Alarcon,May Griffith,Klas I. Udekwu Book 2015 Springer International Publi

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Silver Nanoparticles: From Bulk Material to Colloidal Nanoparticles,metals support plasmons, which are a collective oscillation of many electrons in the material. When the size of these metal nanoparticles is small (<100 nm), these plasmon absorbances occur in the visible region of the electromagnetic spectrum, giving rise to colored solutions. One of the unique cha

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Surface Enhanced Raman Scattering (SERS) Using Nanoparticles,ndamental concepts of Raman spectroscopy and the need for SERS. We then discuss the fundamentals of SERS and focus on silver nanoparticles. This is followed by reviewing recent progress and applications of SERS. Finally, we discuss methods for further enhancing SERS signal using hollow core fibers.

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Silver Nanoparticles in Heterogeneous Plasmon Mediated Catalysis,cal energy. Here, we focus on the use of silver nanoparticles in light driven catalytic processes. This chapter will start with a brief introduction to the currently available nanocomposites that contain silver nanoparticles. Then, the mechanisms behind the photocatalytic activity of those nanocompo

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Biomedical Uses of Silver Nanoparticles: From Roman Wine Cups to Biomedical Devices,der with a general, but concise picture of the basic concepts that need to be considered when using silver nanoparticles (AgNP) in biological systems. We begin with a review of basic concepts on nanomaterials for biomedical applications. In the second part, we discuss a long-standing controversy reg

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Front Matter60 % auf Gesichtswunden entfallen. Bei den Gesichtsverletzungen gelten in der Mehrzahl die Kiefer als mit beteiligt. Im gegenwärtigen Kriege sollen die Kopfverletzungen bis zu 13 % betragen und von diesen nach den übereinstimmenden Angaben von Fischer (Westen) und Zilz (Osten) bis zu 70 % Gesichts-

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Deep Neural Networks Overview,The following Chapter introduces the reader to basic DNN concepts. It provides the definition of the basic DNN operations which are directly related to the underlying numbering system. It also decibels popular DNN models used in modern AI systems. Finally, an overview of the standard training procedure (gradient descent, backpropagation) is given.