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April 28, 20260 citationsOpen Access

Foxworth-Pulse

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DFDaniel R. Foxworth

Key Points

  • The aim is to present and validate the Foxworth-Pulse Predictor for identifying coherence thresholds and phase transitions in various systems.
  • Utilized a deterministic protocol derived from middle-derivative formalism of Altered Middle Calculus that is executable in the field.
  • Conducted 3-run backtests in seven physical media to evaluate the protocol's effectiveness.
  • Scored outcomes with a Probability Index based on structural coherence and other metrics.
  • Successfully identified pulse onset with high accuracy across all tested media.
  • Predicted peak timing and amplitude with low false-positive rates.
  • Validated core elements of Altered Middle Calculus and Unified Coherence Theory in practical applications.

Abstract

The Foxworth-Pulse Predictor is a deterministic, field-executable protocol derived directly from the middle-derivative formalism of Altered Middle Calculus (AMC). It detects informational coherence thresholds and phase-transition pulses in dissipative systems by tracking a fixed-lattice m-Derivative weighted by an AgencyVector, gated by structural coherence (Cₒ), and scored via a Probability Index. This paper presents the locked v2. 2 protocol and demonstrates its systematic portability through 3-run backtests in seven distinct physical media: tropical cyclones, black-hole accretion flares, solar flares, magnetar giant flares, neutron-star Type I X-ray bursts, lab plasma instabilities, and EEG pre-ictal neuronal bursts. Across all domains the protocol consistently identifies pulse onset, predicts peak timing and amplitude, and flags coherence and redistribution signatures with high skill and low false-positive rates. These results establish the Foxworth-Pulse framework as a general-purpose diagnostic for self-organized critical events in bounded dissipative systems, providing empirical validation for key elements of AMC and Unified Coherence Theory (UCT)

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Cite This Study

Daniel R. Foxworth (2026) studied this question.

synapsesocial.com/papers/69f04e7d727298f751e725echttps://doi.org/10.5281/zenodo.19801047
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