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Record W4409359911 · doi:10.1139/cjp-2024-0323

Stochastic resonance for a time-delayed fractional nonlinear system driven by square-wave signal and dichotomous noise

2025· article· en· W4409359911 on OpenAlexvenueno aff
Qiang‐Ming Cai, Yu-Rui Jia, Xin Cao, Feng Guo

Bibliographic record

VenueCanadian Journal of Physics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
Topicstochastic dynamics and bifurcation
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsPhysicsStochastic resonanceNoise (video)Nonlinear systemSIGNAL (programming language)Square (algebra)Statistical physicsResonance (particle physics)Mean squareQuantum electrodynamicsMathematical analysisQuantum mechanics

Abstract

fetched live from OpenAlex

The stochastic resonance (SR) phenomenon for a time-delayed fractional nonlinear system subjected to multiplicative and additive noise excited by square-wave signal and dichotomous noise is investigated. By virtue of generalized harmonic function technique, applying small delay approximation and adiabatic approximation, the system output signal-to-noise ratio (SNR) is deduced. The research result shows that double SR phenomenon occurs when the SNR varies with the fractional exponent and with the strengths of the multiplicative and additive noise. One resonance peak appears when the SNR changes with the damping coefficient and with the delay time.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.210
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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