Results 41 to 50 of about 1,491,574 (265)
Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures
The study addresses the limitations of traditional centrality measures in complex networks, especially in disease-spreading situations, due to their inability to fully grasp the intricate connection between a node’s functional importance and ...
Koduru Hajarathaiah +4 more
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The resource theory of tensor networks [PDF]
Tensor networks provide succinct representations of quantum many-body states and are an important computational tool for strongly correlated quantum systems.
Matthias Christandl +4 more
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Black Holes and Complexity via Constructible Universe
The relation of randomness and classical algorithmic computational complexity is a vast and deep subject by itself. However, already, 1-randomness sequences call for quantum mechanics in their realization.
Jerzy Król, Paweł Klimasara
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Parameterized Complexity Results for a Model of Theory of Mind Based on Dynamic Epistemic Logic [PDF]
In this paper we introduce a computational-level model of theory of mind (ToM) based on dynamic epistemic logic (DEL), and we analyze its computational complexity. The model is a special case of DEL model checking.
Iris van de Pol +2 more
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In resolving instances of a computational problem, if multiple instances of interest share a feature in common, it may be fruitful to compile this feature into a format that allows for more efficient resolution, even if the compilation is relatively ...
Chen, Hubie
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Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation
Integrated Information Theory (IIT) is a prominent theory of consciousness that has at its centre measures that quantify the extent to which a system generates more information than the sum of its parts.
Pedro A. M. Mediano +2 more
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Task-independent metrics of computational hardness predict human cognitive performance
The survival of human organisms depends on our ability to solve complex tasks in the face of limited cognitive resources. However, little is known about the factors that drive the complexity of those tasks.
Juan Pablo Franco +4 more
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Reflector – A Dynamic Manifestation of Turing Machines with Time and Space Complexity Analysis
The Turing Machine model has proven to be capable of simulating every known computational model. Since its inception the model has served as the basis on which computational devices have been constructed.
Behroz Mirza, Muhammad Rafi
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Molecular bases of circadian magnesium rhythms across eukaryotes
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source

