Convolutional Neural Network for Specimen-Invariant Structural Health Monitoring of FRC Under Flexural Loading [PDF]
SensorsReinforced Concrete (RC) structures experience progressive degradation over their service life due to mechanical loading and environmental exposure, leading to reduced bearing capacity and compromised structural safety. Incorporating discrete fibers into
George M. Sapidis +6 more
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The Consequences of Ignoring Measurement Invariance for Path Coefficients in Structural Equation Models [PDF]
Frontiers in Psychology, 2014 We report a Monte Carlo study examining the effects of 2 strategies for handling measurement non-invariance - modeling and ignoring non-invariant items - on structural regression coefficients between latent variables measured with Item Response Theory ...
Nigel eGuenole +2 more
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The invariant theory of chiral order parameters [PDF]
Structural DynamicsIn the Landau theory of phase transitions, the free energy of a system is expanded as a sum over the ring of invariant polynomials in the components of order parameters (e.g.
Carter R. Baldwin +4 more
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Invariant structural and functional brain regions associated with tinnitus: A meta-analysis
PLoS ONE, 2022 Tinnitus is a common, functionally disabling condition of often unknown etiology. Neuroimaging research to better understand tinnitus is emerging but remains limited in scope.
John C. Moring +8 more
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Noneistence of Invariant Rigid Structures and Invariant Almost Rigid Structures [PDF]
Communications in Analysis and Geometry, 2005 We prove that certain volume preserving actions of Lie groups and their lattices do not preserve rigid geometric structures in the sense of Gromov. The actions considered are the "exotic" examples obtained by Katok and Lewis and the first author, by blowing up closed orbits in the well known actions on homogeneous spaces.
Benveniste, E. Jerome, Fisher, David
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Phase Transition as an Emergent Phenomenon Analysed by Violation of Structural Invariant (M, BM)
Mendel, 2020 When modeling complex systems, we usually encounter the following difficulties: partiality, large amounts of data and uncertainty of conclusions. The most common approach used for modeling is the physical approach, sometimes reinforced by statistical ...
Jiri Bila, Ali H Reshak, Jan Chysky
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Journal of Cheminformatics, 2020 We propose new invariant (the product of the corresponding primes for the ring size of each bond of an atom) as a simple unambiguous ring invariant of an atom that allows distinguishing symmetry classes in the highly symmetrical molecular graphs using ...
Dmytro G. Krotko
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Detection of Emergent Situations in Complex Systems by Structural Invariant (MB, M)
Mendel, 2017 The paper introduces complete description of the detection method that uses structural invariant Matroid and its Bases (MB, M). There are recapitulated essential concepts from the used knowledge field as “complex system, emergent situations (A, B, C ...
Jiri Bila, Martin Novak
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Persistence on Quotient Spaces with G-invariant Covering for Structural Analysis
, 2023 Persistent homology, building its foundation on homology theory, has been successfully applied various fields containing computation of topology. Here, we derive and implement persistent homology theory to specefic topological spaces with G-invariant ...
Zhenghong , Chen
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1D metallic states at 2D transition metal dichalcogenide semiconductor heterojunctions
npj 2D Materials and Applications, 2021 Two-dimensional (2D) lateral heterojunctions between different transition metal dichalcogenides (TMDCs) have been realized in recent years. Homogeneous semiconducting TMDC layers are characterized by a topological invariant, their in-plane electric ...
Sridevi Krishnamurthi, Geert Brocks
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