Books: 'Multilayered systems'

1

Cheng, A. H. D. Multilayered aquifer systems: Fundamentals and applications. New York: Marcel Dekker, 2000.

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2

NATO, Advanced Research Workshop on Magnetism and Structure in Systems of Reduced Dimension (1992 Cargèse France). Magnetism and structure in systems of reduced dimension. New York: Plenum in cooperation with NATO Scientific Affairs Division, 1993.

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3

Pickl, Stefan. Optimization and Multiobjective Control of Time-Discrete Systems: Dynamic Networks and Multilayered Structures. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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4

Stübing, Hagen. Multilayered Security and Privacy Protection in Car-to-X Networks: Solutions from Application down to Physical Layer. Wiesbaden: Springer Fachmedien Wiesbaden, 2013.

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5

NATO, Advanced Study Institute on Lower-Dimensional Systems and Molecular Electronics (1989 Hotel Spetses Spetses Island Greece). Lower-dimensional systems and molecular electronics. New York: Plenum Press, 1990.

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6

Farrow, Robin F. C. Magnetism and structure in systems of reduced dimension. Boston, MA: Springer, 1993.

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7

Nepomni︠a︡shchiĭ, A. A. Interfacial convection in multilayer systems. New York: Springer, 2012.

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8

Nepomnyashchy, A., I. Simanovskii, and J. C. Legros. Interfacial Convection in Multilayer Systems. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-0-387-87714-3.

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9

Furman, Sh A. Basics of optics of multilayer systems. Gif-sur-Yvette, France: Editions Frontières, 1992.

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10

Manfredi, Sabato. Multilayer Control of Networked Cyber-Physical Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-41646-5.

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11

Webb, Karen. Building Cisco multilayer switched networks. Indianapolis, IN: Cisco Press, 2000.

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12

Sui Pheng, Low, and Sim Jia Zheng. Construction Productivity in the Multilayer Subcontracting System. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1831-3.

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13

Wayne, Lewis. CCNP 3: Multilayer switching companion guide. 2nd ed. Indianapolis, Ind: Cisco Press, 2005.

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14

Theoharakis, Vasilis. Enterprise networking: Multilayer switching and applications. Hershey [Pa.]: Idea Group Pub., 2002.

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15

Froom, Richard. Building Cisco multilayer switched networks (BCMSN): CCNP self-study. 2nd ed. Indianapolis, Ind: Cisco, 2004.

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16

Webb, Karen. Building Cisco multilayer switched networks: [prepare for CCNP and CCDP certification with the Cisco BCMSN coursebook). Indianapolis, Ind: Cisco Press, 2000.

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17

Wayne, Lewis. Cisco Networking Academy Program: CCNP 3 : multilayer switching lab companion. 2nd ed. Indianapolis, Ind: Cisco Press, 2005.

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18

NEC, Symposium on Fundamental Approaches to New Material Phases (5th 1994 Karuizawa Japan). Proceedings of the 5th NEC Symposium onFundamental Approaches to New Material Phases: Spin-sependent phenomena in multilayer systems, 16-20 October 1994, Karuizawa, Japan. Amsterdam: Elsevier, 1995.

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19

International, Symposium on Structure and Dynamics of Heterogeneous Systems (1999 Duisburg Germany). International Symposium on Structure and Dynamics of Heterogeneous Systems: From atoms, molecules and clusters in complex environment to thin films and multilayers : Duisburg, Germany, 24-26 February 1999. Singapore: World Scientific, 2000.

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20

Xu, Hongcai. Zhongguo duo ceng ci zi ben shi chang ti xi yu jian guan yan jiu =: Research on the system and supervision of Chinese multilayer capital market. 8th ed. Beijing Shi: Jing ji guan li chu ban she, 2009.

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21

Cheng, Alexander H. D. Multilayered Aquifier Systems: Fundamentals and Applications (Civil and Environmental Engineering, 3). CRC, 2000.

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22

Grigorʹevich, Barʹi͡a︡khtar Viktor, Wigen Philip E, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute on Frontiers in Magnetism of Reduced Dimension Systems (1997 : Crimea, Ukraine), eds. Frontiers in magnetism of reduced dimension systems. Dordrecht: Kluwer Academic Publishers, 1998.

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23

Lozovanu, Dmitrii. Optimization and Multiobjective Control of Time-Discrete Systems: Dynamic Networks and Multilayered Structures. Springer, 2010.

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24

Wille, Luc T., Kiyoyuki Terakura, Christopher P. Burmester, George Comsa, and Ellen D. Williams. Mechanisms and Principles of Epitaxial Growth in Metallic Systems: Volume 528. University of Cambridge ESOL Examinations, 2014.

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25

T, Wille Luc, ed. Mechanisms and principles of epitaxial growth in metallic systems: Symposium held April 13-14, 1998, San Francisco, California, U.S.A. Warrendale, Pa: Materials Research Society, 1998.

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26

Stübing, Hagen. Multilayered Security and Privacy Protection in Car-to-X Networks: Solutions from Application down to Physical Layer. Springer Vieweg, 2013.

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27

C, Farrow R. F., North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on Magnetism and Structure in Systems of Reduced Dimensions (1992 : Cargèse, France), eds. Magnetism and structure in systems of reduced dimension. New York: Plenum Press, 1993.

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28

Mehling, Michael. Legal Frameworks for Linking National Emissions Trading Systems. Edited by Kevin R. Gray, Richard Tarasofsky, and Cinnamon Carlarne. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780199684601.003.0013.

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Abstract:

This chapter discusses the linking of emissions trading regimes for climate change governance. It also assesses the legal frameworks for linking as the process assumes varying degrees of formality, with implications for the legal nature and the procedural requirements of adoption. Linkage results in an enlarged market, promising greater diversity of abatement costs and thus more efficient achievement of climate change mitigation objectives. Linkage is also credited with promoting liquidity and reduced price volatility in the carbon market, helping reduce the likelihood of manipulation and abuse. These results lead to operation in a multilayered framework of established rules, principles, and procedures constituting the legal order. Carbon markets are highly regulated, and this relevance of norms also extends to a linkage between such markets. The chapter analyses past and current trading schemes as a case study, such as the European Union Emission Trading Scheme, the biggest greenhouse gas emissions trading scheme.

29

(Editor), Robert M. Metzger, Peter R. Day (Editor), and George C. Papavassiliou (Editor), eds. Lower-Dimensional Systems and Molecular Electronics (NATO Science Series: B:). Springer, 1991.

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30

Nepomnyashchy, A., I. Simanovskii, and J. C. Legros. Interfacial Convection in Multilayer Systems. Springer, 2015.

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31

Nepomnyashchy, A., I. Simanovskii, and J. C. Legros. Interfacial Convection in Multilayer Systems. Springer, 2011.

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32

Interfacial Convection in Multilayer Systems. Springer New York, 2006. http://dx.doi.org/10.1007/978-0-387-36291-5.

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33

Bianconi, Ginestra. Complex Systems as Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0001.

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Chapter 1 constitutes Part I of the book: ‘Single and Multilayer Networks’. This chapter introduces multilayer networks as an important new development of Network Science that allows a more comprehensive understanding of Complex Systems. It identifies the main motivations driving the research activity in this field of multilayer networks and emphasizes the benefits of taking a multilayer network perpective to characterize network data. The main advantages of a multilayer network approach with respect to the more traditional single layer characterization of complex networks are broadly discussed, focusing on the information gain resulting from the analysis of multilayer networks, the non-reducibility of a multilayer network to a large single network and the rich interplay between structure and function in multilayer networks.

34

Furman, S. A., and A. V. Tikhonravov. Basics of optics of multilayer systems. Frontière, 1992.

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35

Basics of Optics of Multilayer Systems. World Scientific Publishing Co Pte Ltd, 1996.

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36

Madland, David. Re-Union. Cornell University Press, 2021. http://dx.doi.org/10.7591/cornell/9781501755378.001.0001.

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This book explores how labor unions are essential to all workers. Yet, union systems are badly flawed and in need of rapid changes for reform. The book's multilayered analysis presents a solution — a model to replace the existing firm-based collective bargaining with a larger, industry-scale bargaining method coupled with powerful incentives for union membership. These changes would represent a remarkable shift from the norm, but would be based on lessons from other countries, US history and current policy in several cities and states. In outlining the shift, the book details how these proposals might mend the broken economic and political systems in the United States. It also uses three examples from Britain, Canada, and Australia to explore what there is yet to learn about this new system in other developed nations. The book's practical advice extends to a proposal for how to implement the changes necessary to shift the current paradigm. This powerful call to action speaks directly to the workers affected by these policies — the very people seeking to have their voices recognized in a system that attempts to silence them.

37

Bianconi, Ginestra. Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.001.0001.

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Multilayer networks are formed by several networks that interact with each other and co-evolve. Multilayer networks include social networks, financial markets, transportation systems, infrastructures and molecular networks and the brain. The multilayer structure of these networks strongly affects the properties of dynamical and stochastic processes defined on them, which can display unexpected characteristics. For example, interdependencies between different networks of a multilayer structure can cause cascades of failure events that can dramatically increase the fragility of these systems; spreading of diseases, opinions and ideas might take advantage of multilayer network topology and spread even when its single layers cannot sustain an epidemic when taken in isolation; diffusion on multilayer transportation networks can significantly speed up with respect to diffusion on single layers; finally, the interplay between multiplexity and controllability of multilayer networks is a problem with major consequences in financial, transportation, molecular biology and brain networks. This field is one of the most prosperous recent developments of Network Science and Data Science. Multilayer networks include multiplex networks, multi-slice temporal networks, networks of networks, interdependent networks. Multilayer networks are characterized by having a highly correlated multilayer network structure, providing a significant advantage for extracting information from them using multilayer network measures and centralities and community detection methods. The multilayer network dynamics (including percolation, epidemic spreading, diffusion, synchronization, game theory and control) is strongly affected by the multilayer network topology. This book will present a comprehensive account of this emerging field.

38

Bianconi, Ginestra. Multilayer Networks: Structure and Function. Oxford University Press, 2018.

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39

Kimura, T. Introduction of spin torques. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198787075.003.0019.

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This chapter discusses the spin-transfer effect, which is described as the transfer of the spin angular momentum between the conduction electrons and the magnetization of the ferromagnet that occurs due to the conservation of the spin angular momentum. L. Berger, who introduced the concept in 1984, considered the exchange interaction between the conduction electron and the localized magnetic moment, and predicted that a magnetic domain wall can be moved by flowing the spin current. The spin-transfer effect was brought into the limelight by the progress in microfabrication techniques and the discovery of the giant magnetoresistance effect in magnetic multilayers. Berger, at the same time, separately studied the spin-transfer torque in a system similar to Slonczewski’s magnetic multilayered system and predicted spontaneous magnetization precession.

40

Centre, Bhabha Atomic Research, ed. Development of a state-of-the-art R.F. sputtering coating system for the fabrication of multilayer x-ray mirrors. Mumbai: Bhabha Atomic Research Centre, 2000.

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41

Bianconi, Ginestra. Interdependent Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0011.

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This chapter characterizes interdependent multilayer networks and their increased fragility. Interdependent networks are stylized models that can represent different complex systems, ranging from global infrastructures to molecular networks in the cell. When a fraction of nodes is initially damaged, interdependent networks are affected by dramatic cascades of failures that suddenly dismantle the multilayer network. The theory beyond this phenomenology is discussed in a pedagogical way by characterizing the percolation, discontinuous and hybrid transitions. The interplay between structure and function is studied in this context by considering multiplex networks without and with link overlap, and the effect of built-in correlations in the multilayer network structure. Finally, partial interdependencies and redundant interdependencies are discussed as major strategies to reduce the fragility of interdependent networks.

42

Nepomnyashchy, A., I. Simanovskii, and J. C. Legros. Interfacial Convection in Multilayer Systems (Springer Monographs in Mathematics). Springer, 2006.

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43

Nepomnyashchy, A., I. Simanovskii, and J. C. Legros. Interfacial Convection in Multilayer Systems (Springer Monographs in Mathematics). Springer New York, 2006.

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44

J, Stochl Robert, and United States. National Aeronautics and Space Administration., eds. Supplemental multilayer insulation research facility. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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45

Mertoguno, Johannes Sukarno. A self organized, autonomous multilayer vision system architecture. 1995.

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46

Manfredi, Sabato. Multilayer Control of Networked Cyber-Physical Systems: Application to Monitoring, Autonomous and Robot Systems. Springer, 2016.

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47

Manfredi, Sabato. Multilayer Control of Networked Cyber-Physical Systems: Application to Monitoring, Autonomous and Robot Systems. Springer, 2018.

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48

Froom, Richard. Building Cisco multilayer switched networks (BCMSN). 4th ed. Indianapolis, IN : Cisco Press, 2007.

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49

Bianconi, Ginestra. Opinion Dynamics and Game Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0016.

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This chapter is devoted to opinion dynamics and game theory on multilayer networks. Since in social systems multilayer networks are the rule, it is particularly relevant to extend the modelling opinion dynamics to the multilayer network scenario. This chapter focuses in particular on the Voter Model, its variants, the Co-evolving Voter Model and models of competing networks, including election models showing that multiplexity has a major role in determining opinion dynamics. In particular, opinion dynamics on multilayer networks is not reducible to opinion dynamics on single layer networks. Finally, the rich interplay between structure and function in multilayer networks is discussed in the framework of game theory.

50

Pheng, Low Sui, and Sim Jia Zheng. Construction Productivity in the Multilayer Subcontracting System: The Case of Singapore. Springer, 2018.

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Books on the topic 'Multilayered systems'

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