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1

Dudley, John James. Dimensional accuracy of investment castings. University of Birmingham, 1991.

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2

Get in shape: Two-dimensional and three-dimensional shapes. Children's Press, 2018.

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3

Milan, Holický, ed. Analysis of dimensional accuracy of building structures. Elsevier, 1989.

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4

Stienecker, David. Three-dimensional shapes. Benchmark Books, 1997.

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5

Robinson, Mark John. Limits to the accuracy of dimensional measurement using machine vision. University of Manchester, 1994.

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6

Zhang, Shuangxi. Characteriation of molecular shape in two-dimensional macromolecular models. Laurentian University, Chemistry and Biochemistry Department, 1998.

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7

Turkel, Eli. Accuracy versus convergence rates for a three dimensional multistage Euler code. ICASE, 1988.

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8

Ogawa, Hiroyuki. Testing the accuracy of a three-dimensional acoustic coupled mode model. Naval Postgraduate School, 1991.

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9

Huyse, Luc. Aerodynamic shape optimization of two-dimensional airfoils under uncertain conditions. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2001.

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10

Nyichomba, Blasius Bavo. The dimensional accuracy of sand castings (commercial aluminium alloys and grey cast iron). University of Birmingham, 1990.

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11

The shape of space: How to visualize surfaces and three-dimensional manifolds. M. Dekker, 1985.

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12

Miller, J. Abbott. Dimensional typography: Case studies on the shape of letters in virtual environments. Kiosk, 1996.

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13

Banks, H. Thomas. Boundary shape identification problems in two-dimensional domains related to thermal testing of materials. ICASE, 1988.

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14

Kanerva, Pentti. Contour-map encoding of shape for early vision. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.

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15

Kanerva, Pentti. Contour-map encoding of shape for early vision. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.

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16

Gregory, Stephen D. The effect of shape on the onset of convection in a two-dimensional cavity. National Library of Canada, 1990.

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17

A 3-D birthday party. Children's Press, 2006.

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18

Allen, David Van. Three-dimensional lipophilicity maps and shape characterization of helical and channel-like molecules using a "molecular tube' algorithm. Laurentian University, 1996.

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19

Orwin, Claire Nicola. An evaluation of the performance of an optical measurement system for the three-dimensional capture of the shape and dimensions of the human body. De Montfort University, 2000.

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20

Favaro, Paolo. 3-D shape estimation and image restoration: Exploiting defocus and motion blur. Springer, 2007.

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21

Webb, Peter Martin. The influence of cutting tool geometry upon aspects of chip flow and tool wear: A theoretical, three dimensional examination of the cutting geometry and the shape of the twist drill. Aston University Department of Mechanical and Production Engineering, 1990.

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22

Baysal, Oktay. Efficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.

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23

Monaghan, M., and S. Adhya. Three dimensional echocardiography. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0003.

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Three-dimensional (3D) echocardiography allows the real-time acquisition of volumes containing entire cardiac structures. The analysis of 3D volumes does not require any assumptions as to the shape of structures.3D echocardiography is more accurate than two-dimensional (2D) in the assessment of left ventricular (LV) volumes, mass, and function, and is comparable to cardiac magnetic resonance imaging. This makes it an ideal modality for measuring LV function particularly when this will determine significant interventions such as implanting of cardioverter/defibrillators, biventricular pacing, a
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24

Kunkel, Kenneth T. Rotary Diecutting, Dimensional Accuracy Control: Dimensional Accuracy Control. Tappi, 1997.

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25

1937-, Kunkel Kenneth T., and Technical Association of the Pulp and Paper Industry. Corrugated Containers Division. Engineering Committee., eds. Rotary diecutting: Dimensional accuracy control. TAPPI Press, 1992.

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26

Stienecker, David L. Three-Dimensional Shapes (Discovering Shapes). Benchmark Books (NY), 1997.

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27

Irons, Calvin. Wayne's new shape: A story about 3-dimensional shapes. Mimosa Publications, 1999.

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28

Accuracy versus convergence rates for a three dimensional multistage Euler code. National Aeronautics and Space Administration, Langley Research Center, 1988.

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29

Oktay, Baysal, and United States. National Aeronautics and Space Administration., eds. Three-dimensional aerodynamic shape optimization of supersonic delta wings: [abstract]. American Institute of Aeronautics and Astornautics, 1994.

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30

Oktay, Baysal, and United States. National Aeronautics and Space Administration., eds. Three-dimensional aerodynamic shape optimization of supersonic delta wings: [abstract]. American Institute of Aeronautics and Astornautics, 1994.

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31

Three-dimensional aerodynamic shape optimization using discrete sensitivity analysis: Abstract. National Aeronautics and Space Administration, 1995.

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32

Three-dimensional aerodynamic shape optimization using discrete sensitivity analysis: Abstract. National Aeronautics and Space Administration, 1995.

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33

Oktay, Baysal, and United States. National Aeronautics and Space Administration., eds. Three-dimensional aerodynamic shape optimization of supersonic delta wings: [abstract]. American Institute of Aeronautics and Astornautics, 1994.

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34

United States. National Aeronautics and Space Administration., ed. Three-dimensional aerodynamic shape optimization using discrete sensitivity analysis: Abstract. National Aeronautics and Space Administration, 1995.

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35

Murphy, Stuart J. Captain Invincible and the Space Shapes: Level 2-Three Dimensional Shapes (Mathstart). HarperCollins Publishers, 2001.

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36

Bernstein, Lori J. Ambiguous Figures Moving Forward. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0095.

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There is inherent ambiguity in visual proximal stimuli, yet only under special circumstances is this obvious. There are many explanations for how we so effortlessly disambiguate inherently ambiguous shape information. An ambiguous figure is a type of optical illusion in that it can give rise to multistable interpretations. Some famous examples of these types of two-dimensional figures include the face/vase and the Necker wire cube. This chapter reviews evidence showing that direction of motion impacts this process. Specifically, a moving ambiguous figure is more likely to be “seen” as the obje
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37

Effects of window size and shape on accuracy of subpixel centroid estimation of target images. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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38

Martinez, Elena, Vanesa Fernández-Majada, María García-Díaz, Núria Torras, and Michael Raghunath, eds. When the Shape Does Matter: Three-Dimensional In Vitro Models of Epithelial Barriers. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88966-394-1.

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39

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Computation of three-dimensional compressible boundary-layers to fourth-order accuracy on wings and fuselages. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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40

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Computation of three-dimensional compressible boundary-layers to fourth-order accuracy on wings and fuselages. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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41

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Computation of three-dimensional compressible boundary-layers to fourth-order accuracy on wings and fuselages. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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42

Williams, Donald C. The Shape of Time. Edited by A. R. J. Fisher. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198810384.003.0012.

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This chapter is about the arrow or direction of time against the backdrop of the pure manifold theory. It is accepted that the fact that time has a direction ought to be explained. It is proposed that the arrow of time is grounded in deeper facts about the four-dimensional nature of each object in the manifold and in facts about the overall four-dimensional shape of the universe. Towards the end of the chapter the possibility of time travel is discussed. It is argued that time travel is metaphysically possible and that there is a reasonable and intelligible sense in which a time traveler can a
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43

Contribution to the optimal shape design of two-dimensional internal flows with embedded shocks. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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44

Miller, J. A. Dimensional Typography: Case Studies on The Shape of Letters in Virtual Environments (Kiosk Report). Princeton Architectural Press, 1997.

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45

Center, Langley Research, ed. Shape identification technique for a two-dimensional elliptic system by boundary integral equation method. National Aeronautics and Space Administration, Langley Research Center, 1989.

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46

D, Salas M., and Institute for Computer Applications in Science and Engineering., eds. Contribution to the optimal shape design of two-dimensional internal flows with embedded shocks. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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47

(Editor), Brian Barsky, ed. Interactive Shape Modeling (Synthesis Lectures on Computer Graphics and Animation). Not Avail, 2007.

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48

Ockelford, Adam. Shape in music notation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199351411.003.0010.

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This chapter explores how perceptual domains function in the auditory and visual modalities, and sets out a model, using ‘zygonic’ theory, showing how different forms of mapping between the two may logically occur in cognition. Such mappings enable the perceived shapes of patterns in sound to be represented as two-dimensional visual shapes. Four types of inter-domain relationship are identified: ‘regular’, ‘irregular’ (the latter being ‘indirect’ or ‘arbitrary’) and ‘synaesthetic’. ‘Regular’, ‘indirect’ and ‘arbitrary’ representations are somewhat analogous to the threefold typology of signs d
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49

K, Choi Kyung, and United States. National Aeronautics and Space Administration, eds. Shape design sensitivity analysis and optimization of three dimensional elastic solids using geometric modeling and automatic regridding. Center for Computer Aided Design, College of Engineering, the University of Iowa, 1987.

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50

Mercati, Flavio. Shape Dynamics and the Linking Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789475.003.0012.

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This chapter explains in detail the current Hamiltonian formulation of SD, and the concept of Linking Theory of which (GR) and SD are two complementary gauge-fixings. The physical degrees of freedom of SD are identified, the simple way in which it solves the problem of time and the problem of observables in quantum gravity are explained, and the solution to the problem of constructing a spacetime slab from a solution of SD (and the related definition of physical rods and clocks) is described. Furthermore, the canonical way of coupling matter to SD is introduced, together with the operational d
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