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1

Müller, Andreas, and Dimiter Zlatanov, eds. Singular Configurations of Mechanisms and Manipulators. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05219-5.

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2

Behnke, Nathalie, Jörg Broschek, and Jared Sonnicksen, eds. Configurations, Dynamics and Mechanisms of Multilevel Governance. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05511-0.

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3

Latré, Steven, Marinos Charalambides, Jérôme François, Corinna Schmitt, and Burkhard Stiller, eds. Intelligent Mechanisms for Network Configuration and Security. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20034-7.

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4

Faltings, Boi. Qualitative place vocabularies for mechanisms in configuration space. Urbana, IL (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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5

Sacks, Elisha. The configuration space method for kinematic design of mechanisms. Cambridge, MA: The MIT Press, 2010.

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6

1961-, Joskowicz Leo, ed. The configuration space method for kinematic design of mechanisms. Cambridge, Mass: MIT Press, 2010.

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7

C, Vafidis, Whitelaw James H, and United States. National Aeronautics and Space Administration., eds. Velocimetry with refractive index watching for complex flow configurations. Glastonbury, Conn: Scientific Research Associates, inc., 1987.

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8

Maugin, G. A. Configurational forces: Thermomechanics, physics, mathematics, and numerics. Boca Raton: Chapman & Hall/CRC, 2010.

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9

Chaussee, D. S. Numerical simulation of viscous supersonic flow over a generic fighter configuration. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1986.

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10

Chaussee, D. S. Numerical simulation of viscous supersonic flow over a generic fighter configuration. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1986.

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11

service), SpringerLink (Online, ed. IUTAM Symposium on Progress in the Theory and Numerics of Configurational Mechanics. Dordrecht: Springer Netherlands, 2009.

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12

Schurek, Carolyn Jill. So you want to find the Canadarm--: An FCMAC approach to configuration-estimation. [Downsview, Ont.]: University of Toronto, Institute for Aerospace Studies, 2002.

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13

Essam, Mohamed, and United States. National Aeronautics and Space Administration., eds. Analytical modeling of pressure wall hole size and maximum tip-to-tip crack length for perforating normal and oblique orbital debris impacts: Final report for period 01 April 1995 to 31 July 1997, contract NCC8-28. Huntsville, Ala: Civil & Environmental Engineering Dept., University of Alabama in Huntsville, 1997.

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14

Essam, Mohamed, and United States. National Aeronautics and Space Administration., eds. Analytical modeling of pressure wall hole size and maximum tip-to-tip crack length for perforating normal and oblique orbital debris impacts: Final report for period 01 April 1995 to 31 July 1997, contract NCC8-28. Huntsville, Ala: Civil & Environmental Engineering Dept., University of Alabama in Huntsville, 1997.

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15

Busacca, Maurizio, and Roberto Paladini. Collaboration Age. Venice: Fondazione Università Ca’ Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-424-0.

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Анотація:
Recently, public policies of urban regeneration have intensified and multiplied. They are being promoted with the aim to start social and economic dynamics within the local context which is subject to intervention. From the empirical analysis, we realise that such activities are mainly implemented by three subjects or by mixed coalitions (public institutions, actors of the third sector and companies). Within them, each player is moved by a multiplicity of interests and goals that go beyond their own nature – public interest, market and mutualism – and tend to redefine themselves, thus becoming hybrid forms of production of value (social, economic, cultural). By studying a number Italian and Catalan cases, this essay deals with the theory that, under specific conditions and configurations, a collaborative direction – of organization, production and design – would give life to successful procedures, even without the identification of a one-best-way. The collaboration is not simply a choice of operation, but a real production method which mobilises social resources to create hybrid solutions – between state, market and society – to complex issues that could not be faced solely with the use of the rationale of action of one among the three actors. In this framework, the systems of relations and interactions between players and shared capital become an essential condition for the success of every initiative of urban redevelopment, or failure thereof. Such initiatives are brought to life by the strategic role of individuals who foster connections as well as the dissemination of non-redundant information between social networks, and collective and individual actors which would otherwise be separated and barely able to communicate and collaborate with each other. In addition to the functions carried out by knowledge brokers, that have been extensively described in organisational studies and economic sociology, the aforementioned figures act as real social enzymes, that is to say, they handle the available information and function as catalysts of social processes of production of knowledge. Moreover, they increase the reaction speed, working on mechanisms which control the spontaneity.
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16

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Aeropropulsion '91: Proceedings of a conference held at NASA Lewis Research Center, Cleveland, Ohio, March 20-21, 1991. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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17

Haldimann, Matthias, Andreas Luible, and Mauro Overend. Structural use of Glass. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2008. http://dx.doi.org/10.2749/sed010.

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Анотація:
<p>Recent architectural trends and technological developments have brought about unprecedented opportunities and exciting changes in the use of glass in buildings. <p>Structural engineers currently have a bewildering array of glass products and configurations to choose from and a wide range of normal and exceptional loading conditions to consider, but very few unified reference texts for undertaking these tasks. This book attempts to redress this issue by providing an overview of the recent developments in this field thereby providing a basis for the understanding of the structural performance and design of glass in buildings. <p>Each chapter draws on the latest developments in practice and research and contains contributions from various international glass experts. The mix of general and specialist content ranging from rules of thumb to fracture mechanics and novel applications to post-breakage performance make this book useful to practitioners and researchers. Furthermore, the text is supplemented by tables of the major codes of practice and by an extensive list of references. <p>The book is primarily for structural engineers and researchers who have an interest in structural glass. It will be used by senior undergraduates, post-graduate students, researchers and practicing engineers.
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18

Müller, Andreas, and Dimiter Zlatanov. Singular Configurations of Mechanisms and Manipulators. Springer, 2019.

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19

Behnke, Nathalie, Jörg Broschek, and Jared Sonnicksen. Configurations, Dynamics and Mechanisms of Multilevel Governance. Palgrave Macmillan, 2019.

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20

Caballero-Esteve, Mercè. Object relational patterns and defensive configurations. 1992.

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21

Joskowicz, Leo, and Elisha Sacks. Configuration Space Method for Kinematic Design of Mechanisms. MIT Press, 2018.

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22

Joskowicz, Leo, and Elisha Sacks. Configuration Space Method for Kinematic Design of Mechanisms. MIT Press, 2010.

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23

Joskowicz, Leo, and Elisha Sacks. Configuration Space Method for Kinematic Design of Mechanisms. MIT Press, 2010.

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24

Wilson, Jessica M. Metaphysical Emergence. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198823742.001.0001.

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Анотація:
The special sciences and ordinary experience present us with a world of macro-entities trees, birds, lakes, mountains, humans, houses, and sculptures, to name a few which materially depend on lower-level configurations, but which are also distinct from and distinctively efficacious as compared to these configurations. Such appearances give rise to two key questions. First, what is metaphysical emergence, more precisely? Second, is there actually any metaphysical emergence? In Metaphysical Emergence, Jessica Wilson provides clear, compelling, and systematic answers to these questions. Wilson argues that there are two and only two forms of metaphysical emergence making sense of the target cases: ‘Weak’ emergence, whereby a macro-entity or feature has a proper subset of the powers of its base-level configuration, and ‘Strong’ emergence, whereby a macro-entity or feature has a new power as compared to its base-level configuration. Weak emergence unifies and accommodates diverse accounts of realization (e.g., in terms of functional roles, constitutive mechanisms, and parthood) associated with varieties of nonreductive physicalism, whereas Strong emergence unifies and accommodates anti-physicalist views according to which there may be fundamentally novel features, forces, interactions, or laws at higher levels of compositional complexity. After defending each form of emergence against various objections, Wilson considers whether complex systems, ordinary objects, consciousness, and free will are actually either Weakly or Strongly metaphysically emergent. She argues that Weak emergence is quite common, and that Strong emergence, while in most cases at best an open empirical possibility, is instantiated for the important case of free will.
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25

Scherer, Klaus, Marcello Mortillaro, and Marc Mehu. Facial Expression Is Driven by Appraisal and Generates Appraisal Inference. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190613501.003.0019.

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Emotion researchers generally concur that most emotions in humans and animals are elicited by the appraisals of events that are highly relevant for the organism, generating action tendencies that are often accompanied by changes in expression, autonomic physiology, and feeling. Scherer’s component process model of emotion (CPM) postulates that individual appraisal checks drive the dynamics and configuration of the facial expression of emotion and that emotion recognition is based on appraisal inference with consequent emotion attribution. This chapter outlines the model and reviews the accrued empirical evidence that supports these claims, covering studies that experimentally induced specific appraisals or that used induction of emotions with typical appraisal configurations (measuring facial expression via electromyographic recording) or behavioral coding of facial action units. In addition, recent studies analyzing the mechanisms of emotion recognition are shown to support the theoretical assumptions.
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26

Sacks, Elisha, and Leo Joskowicz. The Configuration Space Method for Kinematic Design of Mechanisms. The MIT Press, 2010. http://dx.doi.org/10.7551/mitpress/7600.001.0001.

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27

Maugin, Gerard A., and Reinhold Kienzler. Configurational Mechanics of Materials. Springer London, Limited, 2014.

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28

Soylu, Resit. Kinematics, special configurations and performance evaluation of serial manipulators. 1988.

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29

Simó, Carles, Jaume Llibre, and Richard Moeckel. Central Configurations, Periodic Orbits, and Hamiltonian Systems. Birkhauser Verlag, 2015.

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30

Simó, Carles, Jaume Llibre, and Richard Moeckel. Central Configurations, Periodic Orbits, and Hamiltonian Systems. Birkhäuser, 2015.

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31

Herrmann, George, and Reinhold Kienzler. Mechanics in Material Space: With Applications in Defect and Fracture Mechanics (Engineering Online Library). Springer, 2000.

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32

Pop, Liliana. Bourdieu in the Post-Communist World. Edited by Thomas Medvetz and Jeffrey J. Sallaz. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199357192.013.6.

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The collapse of the communist regimes in the former Soviet bloc and the subsequent economic, political, social, and cultural transformations opened up new challenges for social science research. Working with the methodological and conceptual tools of Pierre Bourdieu, including habitus, field, capital, symbolic power, hysteresis, and the logic of honor, among others, scholars have defined and addressed four clusters of important research questions: the possibility of systemic change and the emergence of “capitalism without capitalists”; mechanisms for legitimacy and stability, new configurations of stratification and lifestyles; marketing selves, the informal economy, and nationalism; and state-level strategies for redefining positions in the international political field. This chapter shows that, although much remains to be done across these areas, works that use Bourdieu’s insights to analyze post-communist regimes have provided more nuanced accounts and fuller explanations than those available in mainstream literatures, making up in salience what they lack in number.
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33

Mejia, Omar Darío López, and Jaime A. Escobar Gomez. Numerical Simulation of the Aerodynamics of High-Lift Configurations. Springer, 2019.

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34

Mejia, Omar Darío López, and Jaime A. Escobar Gomez. Numerical Simulation of the Aerodynamics of High-Lift Configurations. Springer, 2018.

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35

Structural Characteristics of Mechanisms with Variable Topologies: Taking into Account the Configuration Singularity. Simon & Schuster, 2008.

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36

(Editor), Reinhold Kienzler, and Gerard A. Maugin (Editor), eds. Configurational Mechanics of Materials (CISM International Centre for Mechanical Sciences). Springer, 2002.

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37

Configurational forces: Thermomechanics, physics, mathematics, and numerics. Boca Raton: Chapman & Hall/CRC, 2010.

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38

Nonequilibrium Physics at Short Time Scales: Formation of Correlations. Springer, 2004.

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39

Mann, Peter. Coordinates & Constraints. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0006.

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This short chapter introduces constraints, generalised coordinates and the various spaces of Lagrangian mechanics. Analytical mechanics concerns itself with scalar quantities of a dynamic system, namely the potential and kinetic energies of the particle; this approach is in opposition to Newton’s method of vectorial mechanics, which relies upon defining the position of the particle in three-dimensional space, and the forces acting upon it. The chapter serves as an informal, non-mathematical introduction to differential geometry concepts that describe the configuration space and velocity phase space as a manifold and a tangent, respectively. The distinction between holonomic and non-holonomic constraints is discussed, as are isoperimetric constraints, configuration manifolds, generalised velocity and tangent bundles. The chapter also introduces constraint submanifolds, in an intuitive, graphic format.
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40

So you want to find the Canadarm ...: An FCMAC approach to configuration-estimation. Ottawa: National Library of Canada, 2002.

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41

Steinmann, Paul. IUTAM Symposium on Progress in the Theory and Numerics of Configurational Mechanics: Proceedings of the IUTAM Symposium held in Erlangen, Germany, October 20-24, 2008. Springer, 2012.

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42

Coopersmith, Jennifer. Hamiltonian Mechanics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198743040.003.0007.

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Hamilton’s genius was to understand what were the true variables of mechanics (the “p − q,” conjugate coordinates, or canonical variables), and this led to Hamilton’s Mechanics which could obtain qualitative answers to a wider ranger of problems than Lagrangian Mechanics. It is explained how Hamilton’s canonical equations arise, why the Hamiltonian is the “central conception of all modern theory” (quote of Schrödinger’s), what the “p − q” variables are, and what phase space is. It is also explained how the famous conservation theorems arise (for energy, linear momentum, and angular momentum), and the connection with symmetry. The Hamilton-Jacobi Equation is derived using infinitesimal canonical transformations (ICTs), and predicts wavefronts of “common action” spreading out in (configuration) space. An analogy can be made with geometrical optics and Huygen’s Principle for the spreading out of light waves. It is shown how Hamilton’s Mechanics can lead into quantum mechanics.
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43

Mercati, Flavio. Barbour–Bertotti Best Matching. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789475.003.0004.

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Barbour and Bertotti’s Mach–Poincaré Principle can be realized in classical mechanics with a mathematical procedure which was beyond the grasp of Leibniz or Newton, and turns out to be equivalent to modern gauge theory. This is the formulation of a variational principle based on ‘best matching’: one transforms subsequent configurations of the system with the Euclidean group, and by minimizing a certain functional a notion of ‘equilocality’ is established: now it makes sense to say that a particle comes back to the same point at different times.
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44

Chaudhuri, Rajat Kumar, and Sudip Kumar Chattopadhyay. Many-Body Methods for Atoms and Molecules. Taylor & Francis Group, 2017.

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45

Chaudhuri, Rajat Kumar, and Sudip Kumar Chattopadhyay. Many-Body Methods for Atoms and Molecules. Taylor & Francis Group, 2017.

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46

Chaudhuri, Rajat Kumar, and Sudip Kumar Chattopadhyay. Many-Body Methods for Atoms and Molecules. Taylor & Francis Group, 2017.

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47

Chaudhuri, Rajat Kumar, and Sudip Kumar Chattopadhyay. Many-Body Methods for Atoms and Molecules. Taylor & Francis Group, 2017.

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48

Many-Body Methods for Atoms and Molecules. Taylor & Francis Group, 2016.

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49

Deruelle, Nathalie, and Jean-Philippe Uzan. Hamiltonian mechanics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786399.003.0009.

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This chapter gives a brief overview of Hamiltonian mechanics. The complexity of the Newtonian equations of motion for N interacting bodies led to the development in the late 18th and early 19th centuries of a formalism that reduces these equations to first-order differential equations. This formalism is known as Hamiltonian mechanics. This chapter shows how, given a Lagrangian and having constructed the corresponding Hamiltonian, Hamilton’s equations amount to simply a rewriting of the Euler–Lagrange equations. The feature that makes the Hamiltonian formulation superior is that the dimension of the phase space is double that of the configuration space, so that in addition to point transformations, it is possible to perform more general transformations in order to simplify solving the equations of motion.
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50

Mann, Peter. Newton’s Three Laws. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0001.

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Анотація:
This chapter introduces Newton’s laws, the Newtonian formulation of mechanics and key concepts such as configuration space and phase space for later development. In 1687, the natural philosopher Sir Isaac Newton published the Principia Mathematica and, with it, sparked the revolutionary ideas key to all branches of classical physics. In this chapter, the system is the object of interest and is considered to be either a single or a collection of generic particles that are not governed by quantum mechanics, for quantum systems do not follow these laws explicitly. Results for systems of particles and conservation laws are presented as the invariance of a given quantity under time evolution. The N-body problem, first integrals, initial value problems and Galilean transformations are all introduced and the Picard iteration and the Verlet algorithm are discussed.
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