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The causal differential scattering approach to calculating the effective properties of random composite materials with a particle size distribution
[chapter]
2009
Springer Proceedings in Physics
Preserved Fulltext
An implementation of the Causal Differential Method (CDM) for modelling the effective properties of a random two-phase composite material is presented. ...
The model predictions would suggest that to reliably and repeatedly manufacture these composites, with a desired mechanical impedance, a low volume fraction of inclusions should be used. ...
Young, A. and Mulholland, A.J. and O'Leary, R.L. (2009) The causal differential scattering approach to calculating the effective properties of random composite materials with a particle size distribution ...
doi:10.1007/978-3-540-89105-5_5
fatcat:u433uukmjjbozaarddmbwgi3xm
A composite-likelihood approach for identifying polymorphisms that are potentially directly associated with disease
2008
European Journal of Human Genetics
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Here we propose a method that combines analyses of two or more candidate SNPs using a composite-likelihood approach. ...
If a linkage signal can be fully accounted for by the association of a particular polymorphism with the disease, this polymorphism may be the sole causal variant in the region. ...
Simulation study Using simulations, we compared the new composite-likelihood approach to the Li-cpg 7 approach. ...
doi:10.1038/ejhg.2008.242
pmid:19092770
pmcid:PMC2687550
fatcat:wcet4gvbbbdijk27enczlhiqfm
Adjustment for energy intake in nutritional research: a causal inference perspective
2021
American Journal of Clinical Nutrition
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The "nutrient density model" has an obscure interpretation but attempts to estimate the average relative causal effect rescaled as a proportion of total energy intake. ...
Background Four models are commonly used to adjust for energy intake when estimating the causal effect of a dietary component on an outcome; 1) the "standard model" adjusts for total energy intake, 2) ...
' approach to estimating a specific relative (i.e., substitution) causal effect (22) . ...
doi:10.1093/ajcn/nqab266
pmid:34313676
pmcid:PMC8755101
fatcat:qweti2d46jegjc27hkwrn6j46a
Adjustment for energy intake in nutritional research: a causal inference perspective
[article]
2021
medRxiv
pre-print
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The 'nutrient density model' has an obscure interpretation but attempts to estimate the average relative causal effect rescaled as a proportion of total energy intake. ...
Four models are commonly used to adjust for energy intake when estimating the causal effect of a dietary component on an outcome; (1) the 'standard model' adjusts for total energy intake, (2) the 'energy ...
(22) A single model that includes all individual components of the diet may provide the simplest and most accurate approach to estimating both the total causal effect and any relative causal effect ...
doi:10.1101/2021.01.20.21250156
fatcat:skv6w4fzdrdszfuolxgmtr35ha
Semantic Web Service Composition Based on a Closed World Assumption
2006
2006 European Conference on Web Services (ECOWS'06)
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., local-oriented and a global-oriented) of Web service composition are introduced to discover the best plan according to a semantic criterion i.e., the causal link between Web services. ...
The model supports a semantic context in order to find a correct, complete and consistent plan as a AI planning-based composition. ...
Moreover CLMs allow us to consider a simplest composition problem i.e., causal link composition. ...
doi:10.1109/ecows.2006.35
dblp:conf/ecows/LecueL06a
fatcat:cchmoxdhxbftne2iqg7i25c66a
A Novel Framework for Integrating Discrete Event System Control and Diagnosis
2003
International Joint Conference on Artificial Intelligence
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A Discrete Event Modeling Framework We adopt a representation that is a hybrid of two key modeling approaches, an MBD approach, Causal Networks (CN) [Darwiche, 1998] , and an FSM control/diagnosis approach ...
We assume that, to perform fault isolation, for the FSM (CN) approach we use a diagnoser (CN model respectively. ...
dblp:conf/ijcai/Provan03
fatcat:mvsntyvtzza73afbi3gs4mkmdq
A Formal Model for Semantic Web Service Composition
[chapter]
2006
Lecture Notes in Computer Science
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., Causal link matrix) is a necessary starting point to apply problem-solving techniques such as regression-based search for Web service composition. ...
Indeed Web services described at functional level need a formal context to perform the automated composition of Web services. ...
According to a CLM, the Ra 4 C algorithm proposes a Regression-based Approach for Composition. ...
doi:10.1007/11926078_28
fatcat:g3l64yeyxbcj5e25iqgq7obtmy
Statistical methods to compare functional outcomes in randomized controlled trials with high mortality
2018
BMJ (Clinical Research Edition)
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Composite endpoint approach The composite endpoint approach eliminates the need to condition on survival by combining information about mortality and functional outcomes into a single variable. ...
An ordering is required to create a composite endpoint. ...
doi:10.1136/bmj.j5748
pmid:29298779
pmcid:PMC5751848
fatcat:ms5y3toilnde3hp7ahdw3qevki
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors
[article]
2020
arXiv
pre-print
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However, object appearance is the compositional consequence of both an object's intrinsic and extrinsic causal factors, where the extrinsic causal factors are related to illumination, and imaging conditions ...
Therefore, this paper proposes a unified tensor model of wholes and parts, and introduces a compositional hierarchical tensor factorization that disentangles the hierarchical causal structure of object ...
(b) Only one of the causal factor has a compositional hierarchical representation, a partially compositional hierarchical representation example. ...
arXiv:1911.04180v2
fatcat:gj4nx5ugbjd7nf7cpdcbqnwbee
CATE: CAusality Tree Extractor from Natural Language Requirements
[article]
2021
arXiv
pre-print
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In this paper, we present our tool CATE (CAusality Tree Extractor), which is able to parse the composition of a causal relation as a tree structure. ...
However, we lack an approach capable of extracting causal relations from natural language with reasonable performance. ...
Contributions: We present our tool CATE (acronym for CAusality Tree Extractor), which is able to parse the composition of a causal relation as a tree structure. ...
arXiv:2107.10023v2
fatcat:kwkp76e4znfvrgl4uvyhbscpmu
Compositional_Hierarchical_Tensor_Factorization_KDD[1].pdf
[article]
2020
figshare.com
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However, object appearance is the compositional consequence of both an object's intrinsic and extrinsic causal factors, where the extrinsic causal factors are related to illumination, and imaging conditions.Therefore ...
, this paper proposes a unified tensor model of wholes and parts, and introduces a compositional hierarchical tensor factorization that disentangles the hierarchical causal structure of object image formation ...
(b) Only one of the causal factor has a compositional hierarchical representation, a partially compositional hierarchical representation example. ...
doi:10.6084/m9.figshare.12981263.v1
fatcat:gcuuzfctnve4dp2ugt4kzrlje4
Integrated approach for the optimal selection of environmentally friendly drilling systems
2012
International Journal of Energy and Environmental Engineering
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One is based on a multi-attribute utility approach and the other one is based on the analysis of interventions or causal approach. ...
To illustrate the applicability of the proposed methods and to contract their benefits and limitations, a case study is presented using data collected from Green Lake at McFaddin, TX, USA. ...
Acknowledgements The authors would like to thank the EFD subject matter experts for their assistance with this research. They want to acknowledge in particular Ms. Carole Fleming, Dr. ...
doi:10.1186/2251-6832-3-25
fatcat:rtrfho2rbjc73kfll2myhfg4ki
Semantic Web Service Composition through a Matchmaking of Domain
2006
2006 European Conference on Web Services (ECOWS'06)
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However Web services described at capability level need a formal context to perform the automated composition of Web services. ...
Services which are composed automatically need to share a variety of important characteristics such as a common understanding of their semantics capabilities. ...
Authors of [37] propose a forward chaining approach to solve a planning problem. ...
doi:10.1109/ecows.2006.36
dblp:conf/ecows/LecueL06
fatcat:vxw5bvgaoze2tpytemhr2hw6rq
Sessional dataflow
2012
Proceedings of the 7th workshop on Declarative aspects and applications of multicore programming - DAMP '12
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This account focuses on a simplified case of sessional dataflow, to draw out the key points of the approach. ...
The purpose of sessional dataflow is to provide a compositional semantics for dataflow computations that can be scheduled at compile-time. ...
In general, the approach to composition of actors is to provide a binary connection operation for linking the output data channel on one actor with the input data channel of another. ...
doi:10.1145/2103736.2103744
dblp:conf/popl/DugganY12
fatcat:zg2dtbk4erbcfd5fjlorpvrvsq
Non interleaving process algebra
[chapter]
1993
Lecture Notes in Computer Science
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We study the connection with Petri nets, and introduce causalities and a causal state operator. ...
We study a non interleaving subalgebra of a reduct of a model of ACP. The model discussed uses step bisiroulation semantics. ...
In Petri nets, the tokens provide a bookkeeping of causalities which is so expressive that both sequential composition and communication cease to be necessary primitives. ...
doi:10.1007/3-540-57208-2_22
fatcat:x7jrwdlnffcebfgrwkbv7fki5q
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