Scientific Systems &
Formal Research Archive

A measurable minority of patients presenting for first-episode psychosis carry an identifiable metabolic or endocrine condition driving the psychotic syndrome rather than co-occurring with it. Antipsychotic-naïve patients exhibit elevated insulin resistance (HOMA-IR Hedges' g = 0.35) and impaired glucose tolerance (post-OGTT glucose g = 0.61) at psychiatric onset, while HbA1c is unaltered (g = −0.08; Pillinger et al., 2017) — the standard screening test misses episodic hypoglycemia and subclinical insulinoma drivers. We propose a prospective 1,250-patient multi-center screening trial combining continuous glucose monitoring (CGM), temporal-concordance lag analysis, and cause-directed treatment protocols.

We analyzed monthly U.S. mortality data from 2000 to 2020 (CDC NVSS) to evaluate the relationship between planetary Kp index geomagnetic activity and cardiovascular mortality. Using Poisson regression with HC3 robust standard errors, month fixed effects, secular trend, and temperature adjustment, we found higher geomagnetic activity was positively associated with SUNDS proxy mortality (beta = 0.3152, p = 0.0139) and broad cardiac mortality (beta = 0.3124, p = 0.0123). The strongest structural finding was a positive interaction between geomagnetic activity and nocturnal exposure (beta = 0.5538, p = 0.0113), indicating state-dependent nocturnal vulnerability.

Formulates the 3-6-9 Epistemic Operating System architecture representing triadic state verification, hexadic causal validation, and nonavoid inference structures. Implements continuous state integrity bounds and Model Revision Calculus across autonomous multi-agent reasoning networks.

Investigates severe convective storm plasma ionization phenomena, luminous boundary discharge artifacts, and bio-electromagnetic sensory reports associated with the 2011 Joplin EF5 tornado event. Formulates boundary condition equations for high-intensity localized electromagnetic void coupling.

Combines structural causal models (SCM), Shapley causal values, and counterfactual uplift estimators for high-dimensional time-series data with zero unobserved confounding assumptions.