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235 results

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Page 1
Did you mean of integrated function systems with inverses (1,952 results)?
Entropy of Iterated Function Systems and Their Relations with Black Holes and Bohr-Like Black Holes Entropies.
Corda C, FatehiNia M, Molaei M, Sayyari Y. Corda C, et al. Entropy (Basel). 2018 Jan 12;20(1):56. doi: 10.3390/e20010056. Entropy (Basel). 2018. PMID: 33265144 Free PMC article.
In this paper we consider the metric entropies of the maps of an iterated function system deduced from a black hole which are known the Bekenstein-Hawking entropies and its subleading corrections. ...We present a new type of topological entropy for general …
In this paper we consider the metric entropies of the maps of an iterated function system deduced from a black hole whi …
Identifiability of spatiotemporal tissue perfusion models.
Shalom ES, Van Loo S, Khan A, Sourbron SP. Shalom ES, et al. Phys Med Biol. 2024 May 23;69(11). doi: 10.1088/1361-6560/ad4087. Phys Med Biol. 2024. PMID: 38636525 Free article.
Objective.Standard models for perfusion quantification in DCE-MRI produce a bias by treating voxels as isolated systems. Spatiotemporal models can remove this bias, but it is unknown whether they are fundamentally identifiable. The aim of this study is to investigate this …
Objective.Standard models for perfusion quantification in DCE-MRI produce a bias by treating voxels as isolated systems. Spatiotempor …
Iterated function systems and dynamical systems.
Gora P, Boyarsky A. Gora P, et al. Chaos. 1995 Dec;5(4):634-639. doi: 10.1063/1.166133. Chaos. 1995. PMID: 12780219
We study the relationship between measures invariant for a piecewise expanding transformation tau of a compact metric space endowed with a underlying measure and measures invariant for an iterated function system T(tau), generated by inverse branches o …
We study the relationship between measures invariant for a piecewise expanding transformation tau of a compact metric space endowed with a u …
Interpolating between pair-potential systems.
Costigliola L, Martine AC, Romero CX, Steinhoff JE, da Fonseca FMFAS, Nielsen MBT, Dyre JC. Costigliola L, et al. J Phys Condens Matter. 2025 Jun 24;37(26). doi: 10.1088/1361-648X/ade2c9. J Phys Condens Matter. 2025. PMID: 40552944
This paper studies liquid-model systems with almost identical constant-potential-energy hypersurfaces. We simulated continuous interpolations between such systems, specifically between the Lennard-Jones (LJ), Weeks-Chandler-Andersen (WCA), exponent 12 inverse …
This paper studies liquid-model systems with almost identical constant-potential-energy hypersurfaces. We simulated continuous interp …
Defining and characterizing drug/compound function.
Kenakin T, Williams M. Kenakin T, et al. Biochem Pharmacol. 2014 Jan 1;87(1):40-63. doi: 10.1016/j.bcp.2013.07.033. Epub 2013 Aug 15. Biochem Pharmacol. 2014. PMID: 23954707 Review.
Added to the basic agonist/antagonist view of drug/ligand function, concepts like allosterism, inverse agonism, biased signaling and compound residence time have provided a broader understanding of compound-target interactions to better inform drug discovery efforts …
Added to the basic agonist/antagonist view of drug/ligand function, concepts like allosterism, inverse agonism, biased signali …
Iterative marker excision system.
Myronovskyi M, Rosenkränzer B, Luzhetskyy A. Myronovskyi M, et al. Appl Microbiol Biotechnol. 2014 May;98(10):4557-70. doi: 10.1007/s00253-014-5523-z. Epub 2014 Jan 29. Appl Microbiol Biotechnol. 2014. PMID: 24473925
Here, we report the establishment of an iterative marker excision system (IMES) that solves this problem. Based on the phiC31 integrase and its mutant att sites, IMES can be used for highly effective deletion of DNA fragments between inversely oriented B-CC a …
Here, we report the establishment of an iterative marker excision system (IMES) that solves this problem. Based on the phiC31 …
Review on solving the forward problem in EEG source analysis.
Hallez H, Vanrumste B, Grech R, Muscat J, De Clercq W, Vergult A, D'Asseler Y, Camilleri KP, Fabri SG, Van Huffel S, Lemahieu I. Hallez H, et al. J Neuroeng Rehabil. 2007 Nov 30;4:46. doi: 10.1186/1743-0003-4-46. J Neuroeng Rehabil. 2007. PMID: 18053144 Free PMC article. Review.
These evaluations are necessary to solve the inverse problem which is defined as finding brain sources which are responsible for the measured potentials at the EEG electrodes. ...Solving Poisson's equation utilizing FEM and FDM corresponds to solving a large sparse linear …
These evaluations are necessary to solve the inverse problem which is defined as finding brain sources which are responsible for the …
Singular-value-decomposition-based causal emergence for Gaussian iterative systems.
Liu K, Pan L, Wang Z, Yang M, Yuan B, Zhang J. Liu K, et al. Phys Rev E. 2025 Nov;112(5-1):054225. doi: 10.1103/mfct-sxn5. Phys Rev E. 2025. PMID: 41430953
To address this, this article proposes a CE quantification framework for Gaussian iterative systems, based on approximate dynamical reversibility derived from the SVD of inverse covariance matrices in forward and backward dynamics. ...This new framework can b …
To address this, this article proposes a CE quantification framework for Gaussian iterative systems, based on approximate dyna …
Nonlinear forecasting and iterated function systems.
Mantica G, Giraud BG. Mantica G, et al. Chaos. 1992 Apr;2(2):225-230. doi: 10.1063/1.165908. Chaos. 1992. PMID: 12779968
The theory of dynamical forecasting can be extended to iterated function systems. An unordered set of iterates may be sufficient to construct a simulation of the unknown dynamics. ...A first application of these extensions pertains to the reconstructio …
The theory of dynamical forecasting can be extended to iterated function systems. An unordered set of iterates m …
Data-driven inverse design of flexible pressure sensors.
Liu Z, Cai M, Hong S, Shi J, Xie S, Liu C, Du H, Morin JD, Li G, Wang L, Wang H, Tang K, Fang NX, Guo CF. Liu Z, et al. Proc Natl Acad Sci U S A. 2024 Jul 9;121(28):e2320222121. doi: 10.1073/pnas.2320222121. Epub 2024 Jul 2. Proc Natl Acad Sci U S A. 2024. PMID: 38954542 Free PMC article.
Conventional trial-and-error designs for such devices follow a forward structure-to-property routine, which is usually time-consuming and determines one possible solution in one run. Data-driven inverse design can precisely target desired functions while showing far …
Conventional trial-and-error designs for such devices follow a forward structure-to-property routine, which is usually time-consuming and de …
235 results