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Discrimination of time-dependent inflow properties with a cooperative dynamical system

Adaptation and Self-Organizing Systems · Submitted 19 Aug 2015

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Here we demonstrate that a system with such properties can be used to discriminate the amplitude or frequency of an external periodic perturbation or input.

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arXiv ID1508.04600 (version 1)
Pith ID5ZGZPFWE, Pith's permanent record of this paper and its review
CitationBogdan Nowakowski, Hiroshi Ueno, Jerzy Gorecki, Kenichi Yoshikawa, Tatsuaki Tsuruyama. "Discrimination of time-dependent inflow properties with a cooperative dynamical system." arXiv:1508.04600 (2015). https://pith.science/paper/5ZGZPFWE
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,420 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.17 · human participants 0.02 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.07 · compares with prior results 0.05 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Many physical, chemical and biological systems exhibit a cooperative or sigmoidal response with respect to the input. In biochemistry, such behavior is called an allosteric effect. Here we demonstrate that a system with such properties can be used to discriminate the amplitude or frequency of an external periodic perturbation or input. Numerical simulations performed for a model sigmoidal kinetics illustrate that there exists a narrow range of frequencies and amplitudes within which the system evolves toward significantly different states. Therefore, observation of system evolution should provide information about the characteristics of the perturbation. The discrimination properties for periodic perturbation are generic. They can be observed in various dynamical systems and for different types of periodic perturbation. \end{abstract}

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Many physical, chemical and biological systems exhibit a cooperative or sigmoidal response with respect to the input. background 1.00 0.04 0.03 asserted 0.98
s1 In biochemistry, such behavior is called an allosteric effect. background 1.00 0.03 0.02 asserted 1.00
s2 Here we demonstrate that a system with such properties can be used to discriminate the amplitude or frequency of an external periodic perturbation or input. contribution 0.98 0.89 0.72 asserted 1.00
s3 Numerical simulations performed for a model sigmoidal kinetics illustrate that there exists a narrow range of frequencies and amplitudes within which the system evolves toward significantly different states. result 0.97 0.95 0.16 asserted 0.99
s4 Therefore, observation of system evolution should provide information about the characteristics of the perturbation. interpretation 0.99 0.43 0.47 asserted 0.76
s5 The discrimination properties for periodic perturbation are generic. interpretation 0.60 0.46 0.23 asserted 1.00
s6 They can be observed in various dynamical systems and for different types of periodic perturbation. \end{abstract} interpretation 0.67 0.37 0.17 asserted 0.84

What kind of paper the classifier reports this is: simulation study 0.83 · evidence from simulation or computation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Many physical, chemical and biological systems exhibit a cooperative or sigmoidal response with respect to the input. In biochemistry, such behavior is called an allosteric effect. Here we demonstrate that a system with such properties can be used to discriminate the amplitude or frequency of an external periodic perturbation or input. Numerical simulations performed for a model sigmoidal kinetics illustrate that there exists a narrow range of frequencies and amplitudes within which the system evolves toward significantly different states. Therefore, observation of system evolution should provide information about the characteristics of the perturbation. The discrimination properties for periodic perturbation are generic. They can be observed in various dynamical systems and for different types of periodic perturbation. \end{abstract}

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