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Assessing IBME with Summative and Formative Purpose
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In: 13th International Congress on Mathematical Education (2016) (2016)
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102 |
Identifying Problem Statements in Scientific Text
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Heffernan, Kevin; Teufel, Simone. - : University of Potsdam, 2016. : http://www.ling.uni-potsdam.de/comma2016/, 2016. : Workshop on Foundations of the Language of Argumentation (in conjunction with COMMA), 2016
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103 |
The Teacher’s Role in Problem-solving: A Study of Elementary Mathematics Programs from Teachers’ Perspectives
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105 |
From formal concepts to analogical complexes
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In: The 12th International Conference on Concept Lattices and their Applications ; CLA 2015 ; https://hal.inria.fr/hal-01198943 ; CLA 2015, LIMOS, CNRS et Université Blaise Pascal, Oct 2015, Clermont-Ferrand, France. pp.12 ; http://cla2015.isima.fr/ (2015)
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107 |
Twist your logic with TouIST
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In: Proceedings of the 4th International Conference on Tools for Teaching Logic ; 4th International Congress on Tools for Teaching Logic (TTL 2015) ; https://hal.archives-ouvertes.fr/hal-01671317 ; 4th International Congress on Tools for Teaching Logic (TTL 2015), IRISA: Institut de Recherche en Informatique et Systèmes Aléatoires; INRIA, Jun 2015, Rennes, France. pp.1-8 ; http://ttl2015.irisa.fr/ (2015)
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108 |
Characterizing Behavioral and Brain Changes Associated with Practicing Reasoning Skills.
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In: PloS one, vol 10, iss 9 (2015)
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109 |
Working Memory Components as Predictors of Word Problem Solving: Does Rapid Automatized Naming Speed Mediate the Relationship?
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In: Fung, Wenson Wen-Yuan. (2015). Working Memory Components as Predictors of Word Problem Solving: Does Rapid Automatized Naming Speed Mediate the Relationship?. UC Riverside: Education. Retrieved from: http://www.escholarship.org/uc/item/32g2068d (2015)
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110 |
Conceptual structure and the procedural affordances of rational numbers: relational reasoning with fractions and decimals.
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In: Journal of experimental psychology. General, vol 144, iss 1 (2015)
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111 |
Modeling discrete and continuous entities with fractions and decimals.
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In: Journal of experimental psychology. Applied, vol 21, iss 1 (2015)
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112 |
Multilingual interfaces for parallel coupling in multiphysics and multiscale systems
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In: Proceedings of ICCSA 2007 ; http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/iccsa/2007/2945/00/2945toc.xml (2015)
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113 |
A multilingual programming model for coupled systems
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In: International Journal for Multiscale Computational Engineering (2015)
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114 |
Extracting significant phrases from text
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In: Proceedings of AINAW 07 (2015)
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115 |
A multilingual programming model for coupled systems
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In: International Journal for Multiscale Computational Engineering (2015)
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Abstract:
Multiphysics and multiscale simulation systems share a common software requirement-infrastructure to implement data exchanges between their constituent parts-often called the coupling problem. On distributed-memory parallel platforms, the coupling problem is complicated by the need to describe, transfer, and transform distributed data, known as the parallel coupling problem. Parallel coupling is emerging as a new grand challenge in computational science as scientists attempt to build multiscale and multiphysics systems on parallel platforms. An additional coupling problem in these systems is language interoperability between their constituent codes. We have created a multilingual parallel coupling programming model based on a successful open-source parallel coupling library, the Model Coupling Toolkit (MCT). This programming model's capabilities reach beyond MCT's native Fortran implementation to include bindings for the C and Python programming languages. We describe the method used to generate the interlanguage bindings. This approach enables an object-based programming model for implementing parallel couplings in non-Fortran coupled systems and in systems with language heterogeneity. We describe the C and Python versions of the MCT programming model and provide short examples. We report preliminary performance results for the MCT interpolation benchmark. We describe a major Python application that uses the MCT Python bindings, a Python implementation of the control and coupling infrastructure for the community climate system model. We conclude with a discussion of the significance of this work to productivity computing in multidisciplinary computational science.
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Keyword:
Computer software; Coupled systems; Data transfer; Interoperability; Keywords: Computational methods; Multilingual programming model; Multiphysics systems; Natural language processing systems; Problem solving
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URL: http://hdl.handle.net/1885/81969 https://doi.org/10.1615/IntJMultCompEng.v6.i1.40
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116 |
Multilingual interfaces for parallel coupling in multiphysics and multiscale systems
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In: Proceedings of ICCSA 2007 ; http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/iccsa/2007/2945/00/2945toc.xml (2015)
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117 |
Universal intelligence: A definition of machine intelligence
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In: Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences (2015)
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118 |
Universal intelligence: A definition of machine intelligence
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In: Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences (2015)
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119 |
Extracting significant phrases from text
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In: Proceedings of AINAW 07 (2015)
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120 |
The process secondary administrators use to implement twenty‐first century learning skills in secondary schools ...
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Pearson, Synee D.. - : University of Southern California Digital Library (USC.DL), 2015
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