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Published: 9 March 2023
Last updated: 10 March 2023

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1

Simple models of complex nuclei: The shell model and interacting boson model. Chur, Switzerland: Harwood Academic Publishers, 1993.

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2

G, Chen. Fundamentals of complex networks: Models, structures, and dynamics. Singapore: John Wiley & Sons Inc., 2015.

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3

Laeven, Luc. Complex ownership structures and corporate valuations. Cambridge, Mass: National Bureau of Economic Research, 2006.

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4

Laeven, Luc. Complex ownership structures and corporate valuations. [Washington, D.C.]: International Monetary Fund, Research Dept., 2007.

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5

Pierre, Antoine Jean, and Workshop on Geometric Methods in Physics (13th : 1994 : Białowieża, Województwo Podlaskie, Poland), eds. Quantization, coherent states, and complex structures. New York: Plenum, 1996.

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6

Complex manifolds and deformation of complex structures. New York: Springer-Verlag, 1986.

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7

Complex manifolds and deformation of complex structures. New York: Springer-Verlag, 1986.

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8

1946-, Eve Raymond A., Horsfall Sara, and Lee Mary E, eds. Chaos, complexity, and sociology: Myths, models, and theories. Thousand Oaks, Calif: Sage Publications, 1997.

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9

Kuijlaars, Arno B. J., 1963- and Mo Man Yue, eds. The Hermitian two matrix model with an even quartic potential. Providence, R.I: American Mathematical Society, 2011.

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10

Basic structures of function field arithmetic. Berlin: Springer, 1996.

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11

David, Goss. Basic structures of function field arithmetic. Berlin: Springer, 1998.

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12

FRAM, the frequency resonance analysis method: Modelling complex socio-technical systems. Farnham, Surrey, UK England: Ashgate, 2012.

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13

Daw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.

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14

Daw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.

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15

Daw, Murray S. Atomic-scale modeling of the structure and dynamics of dislocations in complex alloys at high temperatures. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2003.

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16

United States. National Aeronautics and Space Administration., ed. Flow simulations about steady-complex and unsteady moving configurations using structured-overlapped and unstructured grids: Abstract. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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17

Benemérita Universidad Autónoma de Puebla, ed. Complejo Cultural Universitario: Su proceso de diseño. Puebla, México: BUAP, Direccion General de Publicaciones, 2020.

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18

Kochetova, Zhanna, Natal'ya Maslova, and Oleg Bazarskiy. Aviation and missile clusters and the environment. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1544137.

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The monograph introduces a new concept - the aviation and missile cluster as a new class of objects of geo-ecological monitoring, united by the solution of identical strategic tasks of the state, the interconnection of its structural elements, the identity of priority contaminants and products of their transformation. The scientific and methodological apparatus of complex geoecological monitoring of territories under the influence of objects of aviation and space activities is presented, including predictive models of the spread and transformation of priority contaminants in environmental objects, taking into account their physical and chemical properties, geographical and climatic features of the studied territory; algorithms and methods for assessing the environmental situation in the area of the aviation and rocket cluster to support management decisions on conducting rehabilitation and preventive medical and environmental measures. The proposed scientific and methodological apparatus improves the quality of the assessment of the geoecological situation while reducing the cost of monitoring the territory of the aviation and missile cluster. The scientific results obtained by the authors based on the results of eleven-year geoecological monitoring of a typical aviation and rocket cluster located within the city of Voronezh and including an airfield of state aviation and a test complex of launch vehicles are presented. For a wide range of readers interested in environmental problems of scientific and technological progress.
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19

Liviu, Librescu, and Joint Mechanics Meeting of ASME, ASCE, SES (1st : 1993 : Charlottesville, Va.), eds. Non-classical problems of the theory and behavior of structures exposed to complex environmental conditions: Presented at the 1st Joint Mechanics Meeting of ASME, ASCE, SES, MEET'N '93, Charlottesville, Virginia, June 6-9, 1993. New York: American Society of Mechanical Engineers, 1993.

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20

Modeling complex engineering structures. Reston, VA: ASCE Press, 2005.

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21

Modeling complex engineering structures. Reston, Va: ASCE Press, 2007.

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22

(Editor), Robert E. Melchers, and Richard Hough (Editor), eds. Modeling Complex Engineering Structures. American Society of Civil Engineers, 2007.

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23

Sørensen, Bjørn Bo, Christian Estmann, Enilde Francisco Sarmento, and John Rand. Economic complexity and structural transformation: the case of Mozambique. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/898-6.

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Mozambique is among the world’s least complex economies. By systematically accounting for both supply- and demand-side factors, we identify new products and sectors that can help to diversify and upgrade its economy. In a supply-side analysis, we use network methods from the literature on economic complexity to identify a set of target products that are complex, require productive capabilities useful in the export of other products, and are close to Mozambique’s existing productive structure. In a demand-side analysis, we use gravity models to predict the export potential of target products and markets given product-specific trade resistance and geographically dispersed demand. The broad sectoral focus of Mozambique’s industrial policy is largely consistent with structural transformation and export promotion. The current prioritization of agriculture, agro-industry, and metals is especially important, while there are unexploited opportunities in machinery, vehicles, and transport equipment. We find some potential for Mozambique to export target products to neighbouring countries.
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24

Optimal Design of Complex Mechanical Systems: With Applications to Vehicle Engineering. Springer, 2006.

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25

Li, Xiang, Xiaofan Wang, and Guanrong Chen. Fundamentals of Complex Networks: Models, Structures and Dynamics. Wiley & Sons, Incorporated, John, 2014.

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26

Li, Xiang, Xiaofan Wang, and Guanrong Chen. Fundamentals of Complex Networks: Models, Structures and Dynamics. Wiley & Sons, Limited, John, 2015.

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27

Li, Xiang, Xiaofan Wang, and Guanrong Chen. Fundamentals of Complex Networks: Models, Structures and Dynamics. Wiley & Sons, Incorporated, John, 2014.

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28

Perkins, Elizabeth C., Shaun P. Brothers, and Charles B. Nemeroff. Animal Models for Post-Traumatic Stress Disorder. Edited by Charles B. Nemeroff and Charles R. Marmar. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190259440.003.0024.

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Animal models of post-traumatic stress disorder (PTSD) provide a wellspring of biological information about this complex condition by providing the opportunity to manipulate trauma exposure and measure biological outcomes in a systematic manner that is not possible in clinical studies. Symptoms of PTSD may be induced in animals by physical (immobilization, foot shock, underwater stress) and psychological stressors (exposure to predator, social defeat, early life trauma) or a combination of both. In addition, genetic, epigenetic and transgenic models have been created by breeding animals with a behavioral propensity for maladaptive stress response or by directly manipulating genes that have been implicated in PTSD. The effect of stressors in animals is measured by a variety of means, including observation of behavior, measurement of structural alterations in the brain and of physiological markers such as HPA axis activity and altered gene expression of central nervous system neurotransmitter system components including receptors. By comparing changes observed in stress exposed animals to humans with PTSD and by comparing animal response to treatments that are effective in humans, we can determine the validity of PTSD animal models. The identification of a reliable physiological marker of maladaptive stress response in animals as well as standard use of behavioral cutoff criteria are critical to the development of a valid animal model of PTSD.
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29

Malen, Donald E. Fundamentals of Automobile Body Structure Design. 2nd ed. SAE International, 2020. http://dx.doi.org/10.4271/9781468601756.

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This book provides readers with a solid understanding of the principles of automobile body structural design, illustrating the effect of changing design parameters on the behavior of automobile body structural elements. Emphasizing simple models of the behavior of body structural systems rather than complex mathematical models, the book looks at the best way to shape a structural element to achieve a desired function, why structures behave in certain ways, and how to improve performance. This second edition of Fundamentals of Automobile Body Structure Design contains many new sections including: the treatment of crashworthiness conditions of static roof crush and the small overlap rigid barrier torsion stiffness requirements material selection illustrations of body architecture Each chapter now includes a clear flow down of requirements following the systems engineering methodology. Illustrations have been updated and expanded and a fresh modern format has been adapted enhancing the readability of the book.
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30

Antoine, J.-P. Quantization, Coherent States, and Complex Structures. Springer, 2013.

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31

Kodaira, Kunihiko. Complex Manifolds and Deformation of Complex Structures (Classics in Mathematics). Springer, 2004.

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32

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Shape Reconstructions from Small Angle Scattering Data. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0004.

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This chapter discusses recovering shape or structural information from SAXS data. Key to any such process is the ability to generate a calculated intensity from a model, and to compare this curve with the experimental one. Models for the particle scattering density can be approximated as pure homogenenous geometric shapes. More complex particle surfaces can be represented by spherical harmonics or by a set of close-packed beads. Sometimes structural information is known for components of a particle. Rigid body modeling attempts to rotate and translate structures relative to one another, such that the resulting scattering profile calculated from the model agrees with the experimental SAXS data. More advanced hybrid modelling procedures aim to incorporate as much structural information as is available, including modelling protein dynamics. Solutions may not always contain a homogeneous set of particles. A common case is the presence of two or more conformations of a single particle or a mixture of oligomeric species. The method of singular value decomposition can extract scattering for conformationally distinct species.
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33

Chaos, Complexity, and Sociology: Myths, Models, and Theories. Sage Publications, Inc, 1997.

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34

(Editor), Raymond Eve, Sara Horsfall (Editor), and Mary Lee (Editor), eds. Chaos, Complexity, and Sociology: Myths, Models, and Theories. Sage Publications, Inc, 1997.

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35

Belyakov, Vladimir. Diffraction Optics of Complex-Structured Periodic Media: Localized Optical Modes of Spiral Media. Springer International Publishing AG, 2020.

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36

Belyakov, Vladimir. Diffraction Optics of Complex-Structured Periodic Media: Localized Optical Modes of Spiral Media. Springer, 2019.

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37

Austerweil, Joseph L., Samuel J. Gershman, and Thomas L. Griffiths. Structure and Flexibility in Bayesian Models of Cognition. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.9.

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Probability theory forms a natural framework for explaining the impressive success of people at solving many difficult inductive problems, such as learning words and categories, inferring the relevant features of objects, and identifying functional relationships. Probabilistic models of cognition use Bayes’s rule to identify probable structures or representations that could have generated a set of observations, whether the observations are sensory input or the output of other psychological processes. In this chapter we address an important question that arises within this framework: How do people infer representations that are complex enough to faithfully encode the world but not so complex that they “overfit” noise in the data? We discuss nonparametric Bayesian models as a potential answer to this question. To do so, first we present the mathematical background necessary to understand nonparametric Bayesian models. We then delve into nonparametric Bayesian models for three types of hidden structure: clusters, features, and functions. Finally, we conclude with a summary and discussion of open questions for future research.
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38

Miksza, Peter, and Kenneth Elpus. Structural Equation Modeling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0014.

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This chapter presents structural equation modeling as a tool for conducting research regarding how collections of variables may be related to each other as well as to a particular outcome or even multiple outcomes. Structural equation modeling refers to a collection of analytical techniques that can be used to model complex patterns of predictive relationships among a collection of both measured and latent variables. As a statistical tool, structural equation modeling combines the features of regression and factor analysis. The chapter offers conceptual illustrations and practical steps for carrying out structural equation modeling by describing mediation and moderation analyses in the context of music education research.
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39

Turbulence And Coherent Structures in Fluids, Plasmas And Nonlinear Medium (World Scientific Lecture Notes in Complex Systems) (World Scientific Lecture Notes in Complex Systems). World Scientific Publishing Company, 2007.

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40

Raydugin, Yuri G. Modern Risk Quantification in Complex Projects. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198844334.001.0001.

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There are multiple complaints that existing project risk quantification methods—both parametric and Monte Carlo—fail to produce accurate project duration and cost-risk contingencies in a majority of cases. It is shown that major components of project risk exposure—non-linear risk interactions—pertaining to complex projects are not taken into account. It is argued that a project system consists of two interacting subsystems: a project structure subsystem (PSS) and a project delivery subsystem (PDS). Any misalignments or imbalances between these two subsystems (PSS–PDS mismatches) are associated with the non-linear risk interactions. Principles of risk quantification are developed to take into account three types of non-linear risk interactions in complex projects: internal risk amplifications due to existing ‘chronic’ project system issues, knock-on interactions, and risk compounding. Modified bowtie diagrams for the three types of risk interactions are developed to identify and address interacting risks. A framework to visualize dynamic risk patterns in affinities of interacting risks is proposed. Required mathematical expressions and templates to factor relevant risk interactions to Monte Carlo models are developed. Business cases are discussed to demonstrate the power of the newly-developed non-linear Monte Carlo methodology (non-linear integrated schedule and cost risk analysis (N-SCRA)). A project system dynamics methodology based on rework cycles is adopted as a supporting risk quantification tool. Comparison of results yielded by the non-linear Monte Carlo and system dynamics models demonstrates a good alignment of the two methodologies. All developed Monte Carlo and system dynamics models are available on the book’s companion website.
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41

Beyerlein, Michael, Soo Jeoung Han, and Ambika Prasad. A Multilevel Model of Collaboration and Creativity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190222093.003.0008.

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This chapter provides a framework for making sense of multilevel collaboration for enabling creative knowledge work. The work environment can be deliberately designed, but it must allow for emergent properties as the flow of information creates changes in the team members, the process, the structure, and the outcomes. The interrelationships that provide the channels for the flow represent a complex system subject to both enhancing and constraining influences from multiple sources. We examine network structure, learning, and complexity as key facets of that complex system that generate intangible forms of capital that fuel the creative work.
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42

Newman, Mark. Epidemics on networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0016.

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This chapter discusses the spread of diseases over contact networks between individuals and the methods used to model this process. The chapter begins with an introduction to the classic models of mathematical epidemiology, including the SI model, the SIR model, and the SIS model. Models for coinfection and competition between diseases are also discussed, as well as “complex contagion” models used to represent the spread of information. The remainder of the chapter deals with the behavior of these models on networks, where the behavior of spreading diseases depends strongly on network structure. It is shown that the SIR model maps to a bond percolation process on networks, allowing us to solve for static properties such as the total number of individuals infected in a disease outbreak. The case of the configuration model is developed in detail and the calculations are extended to competing diseases, coinfection, and complex contagion. Time-dependent behavior of diseases on networks is also studied using various differential equation approximations, including pair approximations and degree-based approximations.
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43

Bažant, Zdenek P., Jia-Liang Le, and Marco Salviato. Quasibrittle Fracture Mechanics and Size Effect. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192846242.001.0001.

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Many modern engineering structures are composed of brittle heterogenous (a.k.a. quasibrittle) materials. These materials include concrete (an archetype), composites, tough ceramics, rocks, cold asphalt mixtures, and many brittle materials at the microscale. Understanding the failure behavior of these materials is of paramount importance for improving the resilience and sustainability of various engineering structures including civil infrastructure, aircraft, ships, military armors, and microelectronic devices. This book provides a comprehensive treatment of quasibrittle fracture mechanics. It first presents a concise but rigorous and complete treatment of the linear elastic fracture mechanics, which is the foundation of all fracture mechanics. The topics covered include energy balance analysis of fracture, analysis of near-tip field and stress intensity factors, Irwin's relationship, J-integral, calculation of compliance function and deflection, and analysis of interfacial crack. Built upon the content of linear elastic fracture mechanics, the book presents various fundamental concepts of nonlinear fracture mechanics, which include estimation of inelastic zone size, cohesive crack model, equivalent linear elastic fracture mechanics model, R-curve, and crack band model. The book also discusses some more advanced concepts such as the effects of the triaxial stress state in the fracture process zone, nonlocal continuum models, and discrete computational model. The significant part of the book is devoted to the discussion of the energetic and statistical size effects, which is a salient feature of quasibrittle fracture. The book also presents probabilistic fracture mechanics, and its consequent reliability-based structural analysis and design of quasibrittle structures. Finally, the book provides an extensive review of various practical applications of quasibrittle fracture mechanics.
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44

Cates, M. Complex fluids: the physics of emulsions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198789352.003.0010.

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These lectures start with the mean field theory for a symmetric binary fluid mixture, addressing interfacial tension, the stress tensor, and the equations of motion (Model H). We then consider the phase separation kinetics of such a mixture: coalescence, Ostwald ripening, its prevention by trapped species, coarsening of bicontinuous states, and the role of shear flow. The third topic addressed is the stabilization of emulsions by using surfactants to reduce or even eliminate the interfacial tension between phases; the physics of bending energy, which becomes relevant in the latter case, is then presented briefly. The final topic is the creation of long-lived metastable emulsions by adsorption of colloidal particles or nanoparticles at the fluid–fluid interface; alongside spherical droplets, these methods can be used to create a range of unconventional structures with potentially interesting properties that are only now being explored.
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45

Electronic Structure Methods For Complex Materials The Orthogonalized Linear Combination Of Atomic Orbitals. Oxford University Press, USA, 2012.

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46

Introduction to Stokes Structures Lecture Notes in Mathematics. Springer, 2012.

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47

Soramäki, Kimmo. Computational Models of Financial Networks, Risk, and Regulatory Policies. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.16.

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This chapter introduces the concept of financial networks and reviews research in three of the most active research areas of financial systems: interbank payment networks, interbank exposure networks, and asset correlation networks. The financial crisis of 2007-2008 revealed the intertwined nature of modern financial systems. A promising methodology for capturing and modeling connections in the financial system is provided by network theory. The intricate structure of linkages between financial institutions, among sectors of the economy, and across financial systems can conveniently be captured by using a network representation. Empirical research on describing existing networks is presented, as well as new modeling and simulation approaches for financial risk that take into account the complex structure of financial markets and infrastructures.
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48

Kruschke, John K., and Wolf Vanpaemel. Bayesian Estimation in Hierarchical Models. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.13.

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Bayesian data analysis involves describing data by meaningful mathematical models, and allocating credibility to parameter values that are consistent with the data and with prior knowledge. The Bayesian approach is ideally suited for constructing hierarchical models, which are useful for data structures with multiple levels, such as data from individuals who are members of groups which in turn are in higher-level organizations. Hierarchical models have parameters that meaningfully describe the data at their multiple levels and connect information within and across levels. Bayesian methods are very flexible and straightforward for estimating parameters of complex hierarchical models (and simpler models too). We provide an introduction to the ideas of hierarchical models and to the Bayesian estimation of their parameters, illustrated with two extended examples. One example considers baseball batting averages of individual players grouped by fielding position. A second example uses a hierarchical extension of a cognitive process model to examine individual differences in attention allocation of people who have eating disorders. We conclude by discussing Bayesian model comparison as a case of hierarchical modeling.
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49

Beutler, Ralf, and Frank-Harald Greß, eds. Jazz/Rock/Pop - Das Dresdner Modell. Tectum – ein Verlag in der Nomos Verlagsgesellschaft, 2021. http://dx.doi.org/10.5771/9783828874589.

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The jazz/rock/pop programme at the Dresden College of Music developed into a multifaceted educational complex during the GDR era, despite reservations by cultural politicians, and gained international recognition after the fall of the Berlin Wall. Contemporary witnesses, current teachers and graduates report in 25 essays on their work, experiences, individual views and the interaction between artistic practice and pedagogical activity. This richly illustrated volume provides unique insights into the structure and goals of this field of study in all its breadth, from the children's class and the cooperation with the Saxon State Grammar School for Music to the Bachelor's, Master's and graduate programmes.
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50

Bianconi, Ginestra. The Structure of Single Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0002.

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Chapters 2–3 constitute Part II of the book, ‘Single Networks’, and provide a reference point for the rest of the book devoted exclusively to Multilayer Networks, making the book self-contained. This chapter provides the relevant background on the network structure of complex networks formed by just one layer (single networks). Here the basic definitions of network structure are given, the major network universalities are presented and methods to extract relevant information from network structure including centrality measures and community detection methods are discussed. Finally, modelling frameworks are introduced including random graphs, growing network models (including notably the Barabasi–Albert Model) and network ensembles.
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