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1

Alan, Dix, and Dittmar Anke, eds. TAMODIA 2005: 4th international workshop on task models and diagrams for user interface design. New York: Association for Computing Machinery, 2005.

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2

Milʹshin, A. A. (Aleksandr Alekseevich), ed. Microwave radiation of the ocean-atmosphere: Boundary heat and dynamic interaction. Dordrecht: Springer, 2010.

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3

United States. Naval Oceanography Command Detachment, Asheville, N.C. U.S. Navy hindcast spectral ocean wave model climatic atlas: Mediterranean Sea. Asheville, N.C: The Detachment, 1990.

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4

United States. Naval Oceanography Command Detachment, Asheville, N.C. U.S. Navy hindcast spectral ocean wave model climatic atlas: Mediterranean Sea. Asheville, N.C: The Detachment, 1990.

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5

United, States Naval Oceanography Command Detachment Asheville N. C. U.S. Navy hindcast spectral ocean wave model climatic atlas: North Pacific Ocean. Asheville, N.C: The Detachment, 1985.

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6

United States. Naval Oceanography Command Detachment, Asheville, N.C. U.S. Navy hindcast spectral ocean wave model climatic atlas: Mediterranean Sea. Asheville, N.C: The Detachment, 1990.

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7

United, States Naval Oceanography Command Detachment Asheville N. C. U.S. Navy hindcast spectral ocean wave model climatic atlas: North Pacific Ocean. Asheville, N.C: The Detachment, 1985.

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8

United, States Naval Oceanography Command Detachment Asheville N. C. U.S. Navy hindcast spectral ocean wave model climatic atlas: North Pacific Ocean. Asheville, N.C: The Detachment, 1985.

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9

United States. Naval Oceanography Command Detachment, Asheville, N.C. U.S. Navy hindcast spectral ocean wave model climatic atlas: North Pacific Ocean. Washington, D.C: Dept. of the Navy, Oceanographic Office, 1985.

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10

United States. Naval Oceanography Command Detachment, Asheville, N.C. U.S. Navy hindcast spectral ocean wave model climatic atlas: Mediterranean Sea. Asheville, N.C: The Detachment, 1990.

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11

United, States Naval Oceanography Command Detachment Asheville N. C. U.S. Navy hindcast spectral ocean wave model climatic atlas: North Pacific Ocean. Asheville, N.C: The Detachment, 1985.

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12

Hilary, Johnson, Palanque Philippe 1966-, and SpringerLink (Online service), eds. Task Models and Diagrams for User Interface Design: 6th International Workshop, TAMODIA 2007, Toulouse, France, November 7-9, 2007. Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2007.

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13

Beryl, Plimmer, Rodgers Peter, and SpringerLink (Online service), eds. Diagrammatic Representation and Inference: 7th International Conference, Diagrams 2012, Canterbury, UK, July 2-6, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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14

Conference, on Human-Centered Software Engineering (2nd 2008 Pisa Italy). Engineering interactive systems 2008: Second Conference on Human-Centered Software Engineering, HCSE 2008 and 7th International Workshop on Task Models and Diagrams, TAMODIA 2008, Pisa, Italy, September 25-26, 2008 : proceedings. Berlin: Springer, 2008.

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15

Conference on Human-Centered Software Engineering (2nd 2008 Pisa, Italy). Engineering interactive systems 2008: Second Conference on Human-Centered Software Engineering, HCSE 2008 and 7th International Workshop on Task Models and Diagrams, TAMODIA 2008, Pisa, Italy, September 25-26, 2008 : proceedings. Berlin: Springer, 2008.

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16

TAMODIA 2009 (2009 Brussels, Belgium). Task models and diagrams for user interface design: 8th international workshop, TAMODIA 2009, Brussels, Belgium, September 23-25, 2009 : revised selected papers. Berlin: Springer, 2010.

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17

1954-, Forbrig Peter, Paternò Fabio 1960-, and International Workshop on Task Models and Diagrams (7th : 2008 : Pisa, Italy), eds. Engineering interactive systems 2008: Second Conference on Human-Centered Software Engineering, HCSE 2008 and 7th International Workshop on Task Models and Diagrams, TAMODIA 2008, Pisa, Italy, September 25-26, 2008 : proceedings. Berlin: Springer, 2008.

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18

Bilenʹkiĭ, S. M. Vvedenie v diagrammy Feĭnmana i fiziku ėlektroslabogo vzaimodeĭstvii͡a︡. Moskva: Ėnergoatomizdat, 1990.

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19

Basics of introduction to Feynman diagrams and electroweak interactions physics. Gif-sur-Yvette, France: Editions Frontières, 1994.

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20

Kuo, Thomas T. S., and Eivind Osnes, eds. Folded-Diagram Theory of the Effective Interaction in Nuclei, Atoms and Molecules. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-53023-1.

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21

Eivind, Osnes, ed. Folded-diagram theory of the effective interaction in nuclei, atoms, and molecules. Berlin: Springer-Verlag, 1990.

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22

Scagell, Robin. The ultimate interactive atlas of space. [New York, NY: Scholastic Inc., 2008.

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23

Scagell, Robin. The ultimate interactive atlas of space. [New York, NY: Scholastic Inc., 2008.

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24

John, Roland. ER-Easy: A user-friendly graphic ER-diagram editor for interactive database scheme design. Urbana, Ill. (1304 W. Springfield, Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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25

Excel programming: Your visual blueprint for creating interactive spreadsheets. 3rd ed. Indianapolis, IN: Wiley Pub., 2010.

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26

G, Hey Anthony J., ed. Gauge theories in particle physics: A practical introduction. 3rd ed. Bristol: Institute of Physics Pub., 2003.

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27

Aitchison, Ian Johnston Rhind. Gauge theories in particle physics: A practical introduction. 2nd ed. Bristol: Institute of Physics Pub., 1989.

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28

Kachelriess, Michael. Scalar field with λϕ4 interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198802877.003.0004.

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The generating functionals Z[J] and W[J] for the λϕ‎4 theory are evaluated perturbatively and expressed through Feynman diagrams. The resulting Feynman rules are derived and the three basic one-loop diagrams of the λϕ‎4 theory are calculated. The main idea of renormalisation is illustrated using as example ϕϕ‎ → ϕϕ‎ scattering at O(λ‎2).
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29

Thurner, Stefan, Rudolf Hanel, and Peter Klimekl. Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198821939.003.0004.

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Understanding the interactions between the components of a system is key to understanding it. In complex systems, interactions are usually not uniform, not isotropic and not homogeneous: each interaction can be specific between elements.Networks are a tool for keeping track of who is interacting with whom, at what strength, when, and in what way. Networks are essential for understanding of the co-evolution and phase diagrams of complex systems. Here we provide a self-contained introduction to the field of network science. We introduce ways of representing and handle networks mathematically and introduce the basic vocabulary and definitions. The notions of random- and complex networks are reviewed as well as the notions of small world networks, simple preferentially grown networks, community detection, and generalized multilayer networks.
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30

Schneider, Kevin A., Kris Luyten, and Karin Coninx. Task Models and Diagrams for Users Interface Design: 5th International Workshop, TAMODIA 2006, Hasselt, Belgium, October 23-24, 2006, Revised Papers. Springer London, Limited, 2007.

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31

Interaction Diagrams Between Axial Load N and Bending Moment M for Columns Submitted to Buckling: Improvement of Methods Proposed in Standards and Codes. European Communities / Union (EUR-OP/OOPEC/OPOCE), 1993.

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32

(Editor), Karin Coninx, Kris Luyten (Editor), and Kevin A. Schneider (Editor), eds. Task Models and Diagrams for Users Interface Design: 5th International Workshop, TAMODIA 2006, Hasselt, Belgium, October 23-24, 2006, Revised Papers (Lecture Notes in Computer Science). Springer, 2007.

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33

Barnett, Raymond A., Michael R. Ziegler, and Karl Byleen. Interactive Diagrams CD for use with Precalculus. Mcgraw-Hill College, 1999.

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34

Engelmann, Lukas, Caroline Humphrey, and Christos Lynteris, eds. Working With Diagrams. Berghahn Books, 2022. http://dx.doi.org/10.3167/9781800735583.

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Arising from the need to go beyond the semiotic, cognitive, epistemic and symbolic reading of diagrams, this book looks at what diagrams are capable of in scholarly work related to the social sciences. Rather than attempting to define what diagrams are, and what their dietic capacity might be, contributions to this volume draw together the work diagrams do in the development of theories. Across a range of disciplines, the chapters introduce the ephemeral dimensions of scientist’s interactions and collaboration with diagrams, consider how diagrams configure cooperation across disciplines, and explore how diagrams have been made to work in ways that point beyond simplification, clarification and formalization.
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35

Barnett, Raymond A., Michael R. Ziegler, and Karl E. Byleen. Interactive Diagrams CD for use with College Algebra. 6th ed. Mcgraw-Hill College, 1999.

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36

Kachelriess, Michael. Anomalies, instantons and axions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198802877.003.0017.

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The axial anomaly is derived both from the non-invariance of the path-integral measure under UA(1) transformations and calculations of specific triangle diagrams. It is demonstrated that the anomalous terms are cancelled in the electroweak sector of the standard model, if the electric charge of all fermions adds up to zero. The CP-odd term F̃μν‎Fμν‎ introduced by the axial anomaly is a gauge-invariant renormalisable interaction which is also generated by instanton transitions between Yang–Mills vacua with different winding numbers. The Peceei–Quinn symmetry is discussed as a possible explanation why this term does not contribute to the QCD action.
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37

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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38

Kuo, Thomas T. S., and Eivind Osnes. Folded-Diagram Theory of the Effective Interaction in Nuclei, Atoms and Molecules. Springer, 2014.

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39

Jackson, Christopher J. A rule-based system for the interactive development of data flow diagrams. Bradford, 1986.

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40

Isemer, Hans-Jorg. The Bunker Climate Atlas of the North Atlantic Ocean: Air Sea Interactions (Topics in Atmospheric and Oceanographic Sciences). Springer-Verlag, 1987.

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41

Barnett, Raymond A., Michael R. Ziegler, and Karl Byleen. Interactive Diagrams CD-ROM for use with College Algebra with Trignometry 6/E. 6th ed. Mcgraw-Hill College, 1999.

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42

Coecke, Bob, and Aleks Kissinger. Categorical Quantum Mechanics I: Causal Quantum Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198748991.003.0012.

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We derive the category-theoretic backbone of quantum theory from a process ontology. More specifically, we treat quantum theory as a theory of systems, processes, and their interactions. We first present a general theory of diagrams, and in particular, of string diagrams, and discuss why diagrams are a very natural starting point for developing scientific theories. Then we define process theories, and define a very general notion of quantum type. We show how our process ontology enables us to assert causality, that is, compatibility of quantum theory and relativity theory, prove the no-signalling theorem, provide a new elegant derivation of the no-broadcasting theorem, unitarity of evolution, and Stinespring dilation, all for any `quantum' type in a general class of process theories.
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43

Etheridge, Denise. Excel Programming: Your Visual Blueprint for Creating Interactive Spreadsheets. Wiley & Sons, Incorporated, John, 2010.

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44

Pocket Charts for Emergent Readers: 30 Fun, Interactive Cross-Curricular Charts That Build Literacy (Grades K-1). Scholastic, 1999.

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45

Horing, Norman J. Morgenstern. Equations of Motion with Particle–Particle Interactions and Approximations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0008.

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Starting with the equation of motion for the field operator ψ(x,t) of an interacting many-particle system, the n-particle Green’s function (Gn) equation of motion is developed, with interparticle interactions generating an infinite chain of equations coupling it to (n+1)- and (n−1)-particle Green’s functions (Gn+1 and Gn−1, respectively). Particularly important are the one-particle Green’s function equation with its coupling to the two-particle Green’s function and the two-particle Green’s function equation with its coupling to the three-particle Green’s function. To develop solutions, it is necessary to introduce non-correlation decoupling procedures involving the Hartree and Hartree-Fock approximations for G2 in the G1 equation; and a similar factorization “ansatz” for G3 in the G2 equation, resulting in the Sum of Ladder Diagrams integral equation for G2, with multiple Born iterates and finite collisional lifetimes. Similar treatment of the G11-equation for the joint propagation of one-electron and one-hole subject to mutual Coulomb attraction leads to bound electron-hole exciton states having a discrete hydrogen like spectrum of energy eigenstates. Its role in single-particle propagation is also discussed in terms of one-electron self-energy Σ‎ and the T-matrix
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46

Etheridge, Denise. Excel Programming: Your Visual Blueprint for Creating Interactive Spreadsheets. Wiley & Sons, Incorporated, John, 2011.

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47

Etheridge, Denise. Excel Programming: Your Visual Blueprint for Creating Interactive Spreadsheets. Wiley & Sons, Incorporated, John, 2011.

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48

Young, Forrest W., Pedro M. Valero-Mora, and Michael Friendly. Visual Statistics: Seeing Data with Dynamic Interactive Graphics. Wiley & Sons, Incorporated, John, 2011.

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49

Etheridge, Denise. Microsoft Office Excel 2007 Programming: Your Visual Blueprint for Creating Interactive Spreadsheets. Wiley & Sons, Incorporated, John, 2011.

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50

Etheridge, Denise. Microsoft Office Excel 2007 Programming: Your Visual Blueprint for Creating Interactive Spreadsheets. Wiley & Sons, Incorporated, John, 2011.

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