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1

Massimi, John J. Truck lane needs methodology: A heuristic approach to solve a five option discrete network design problem. Center for Transportation Research, Bureau of Engineering Research, University of Texas at Austin, 1985.

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2

Mescheryakova, Natalia, F. T. Aleskerov, and Sergey Shvydun. New Centrality Measures in Networks. Taylor & Francis Group, 2021.

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3

New Centrality Measures in Networks: How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to Nodes. Taylor & Francis Group, 2021.

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4

Aleskerov, Fuad, Sergey Shvydun, and Natalia Meshcheryakova. New Centrality Measures in Networks: How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to Nodes. Taylor & Francis Group, 2021.

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5

Aleskerov, Fuad, Sergey Shvydun, and Natalia Meshcheryakova. New Centrality Measures in Networks: How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to Nodes. Taylor & Francis Group, 2021.

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6

Beaty, Roger E., and Rex E. Jung. Interacting Brain Networks Underlying Creative Cognition and Artistic Performance. Edited by Kalina Christoff and Kieran C. R. Fox. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190464745.013.10.

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Cognitive neuroscience research has begun to address the potential interaction of brain networks supporting creativity by employing new methods in brain network science. Network methods offer a significant advance compared to individual region of interest studies due to their ability to account for the complex and dynamic interactions among discrete brain regions. As this chapter demonstrates, several recent studies have reported a remarkably similar pattern of brain network connectivity across a range of creative tasks and domains. In general, such work suggests that creative thought may involve dynamic interactions, primarily between the default and control networks, providing key insights into the roles of spontaneous and controlled processes in creative cognition. The chapter summarizes this emerging body of research and proposes a framework designed to account for the joint influence of controlled and spontaneous thought processes in creativity.
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7

Baudouin, Simon, and Steve Ball. Normal physiology of the endocrine system. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0249.

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The endocrine system describes an array of chemical signals (hormones). Working in concert with the nervous system, the endocrine system forms a complex neurohumoral network, communicating changes in the environment to facilitate adaptive responses and serving to integrate those responses in a coherent, coordinated manner. The endocrine system has inherent rhythmicity, which has important implications for the integration and coordination of metabolism, and how we measure endocrine signals in clinical settings. At a cellular level, hormone action is mediated through a series of discrete, but interacting signal transduction pathways. This chapter outlines a functional design approach to endocrinology; providing a framework covering the principles of hormone regulation and hormone action—critical for understanding the role of the endocrine system in physiology and pathophysiology.
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8

Lin, Nian, and Sebastian Stepanow. Designing low-dimensional nanostructures at surfaces by supramolecular chemistry. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.10.

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This article describes the use of supramolecular chemistry to design low-dimensional nanostructures at surfaces. In particular, it discusses the design strategies of two types of low-dimensional supramolecular nanostructures: structures stabilized by hydrogen bonds and structures stabilized by metal-ligand co-ordination interactions. After providing an overview of hydrogen-bond systems such as 0D discrete clusters, 1D chains, and 2D open networks and close-packed arrays, the article considers metal-co-ordination systems. It also presents experimental results showing that both hydrogen bonds and metal co-ordination offer protocols to achieve unique nanostructured systems on 2D surfaces or interfaces. Noting that the conventional 3D supramolecular self-assembly has generated a vast number of nanostructures revealing high complexity and functionality, the article suggests that 2D approaches can be applied to substrates with different symmetries as well as physical and chemical properties.
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9

Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.

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Every engineer and decision scientist must have a good mastery of optimization, an essential element in their toolkit. Thus, this articulate introductory textbook will certainly be welcomed by students and practicing professionals alike. Drawing from his vast teaching experience, the author skillfully leads the reader through a rich choice of topics in a coherent, fluid and tasteful blend of models and methods anchored on the underlying mathematical notions (only prerequisites: first year calculus and linear algebra). Topics range from the classics to some of the most recent developments in smooth unconstrained and constrained optimization, like descent methods, conjugate gradients, Newton and quasi-Newton methods, linear programming and the simplex method, trust region and interior point methods. Furthermore elements of discrete and combinatorial optimization like network optimization, integer programming and heuristic local search methods are also presented. This book presents optimization as a modeling tool that beyond supporting problem formulation plus design and implementation of efficient algorithms, also is a language suited for interdisciplinary human interaction. Readers further become aware that while the roots of mathematical optimization go back to the work of giants like Newton, Lagrange, Cauchy, Euler or Gauss, it did not become a discipline on its own until World War Two. Also that its present momentum really resulted from its symbiosis with modern computers, which made it possible to routinely solve problems with millions of variables and constraints. With his witty, entertaining, yet precise style, Michel Bierlaire captivates his readers and awakens their desire to try out the presented material in a creative mode. One of the outstanding assets of this book is the unified, clear and concise rendering of the various algorithms, which makes them easily readable and translatable into any high level programming language. ''This is an addictive book that I am very pleased to recommend.'' Prof. Thomas M. Liebling
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10

Event-driven architecture: How SOA enables the real-time enterprise. Addison Wesley Professional, 2009.

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11

Yochem, Angela, Hugh Taylor, Frank Martinez, and Les Phillips. Event-Driven Architecture: How SOA Enables the Real-Time Enterprise. Pearson Education, Limited, 2021.

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12

Yochem, Angela, Hugh Taylor, Frank Martinez, and Les Phillips. Event-Driven Architecture: How SOA Enables the Real-Time Enterprise. Addison-Wesley Longman, Incorporated, 2009.

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13

Russo, Marco. Fuzzy Learning and Applications. Taylor & Francis Group, 2019.

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14

Russo, Marco. Fuzzy Learning and Applications. Taylor & Francis Group, 2019.

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15

Russo, Marco. Fuzzy Learning and Applications. Taylor & Francis Group, 2019.

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16

Russo, Marco, and Lakhmi C. Jain. Fuzzy Learning and Applications (International Series on Computational Intelligence). CRC, 2000.

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17

Russo, Marco. Fuzzy Learning and Applications. Taylor & Francis Group, 2019.

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18

Zelikovsky, Alexander, Zhipeng Cai, and Anu Bourgeois. Computing and Combinatorics: 20th International Conference, COCOON 2014, Atlanta, GA, USA, August 4-6, 2014, Proceedings. Springer London, Limited, 2014.

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19

Computing and Combinatorics: 20th International Conference, COCOON 2014, Atlanta, GA, USA, August 4-6, 2014, Proceedings. Springer, 2014.

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