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[6] ai.viXra.org:2512.0098 [pdf] submitted on 2025-12-29 21:49:31
Authors: Prabhav Sharma
Comments: 6 Pages.
This paper introduces the Ancestral Rediscovery Hypothesis (ARH), which posits that upcoming interactions with extraterrestrial beings might include various human lineages instead of solely distinct alien origins. Applying the concept of allopatric speciation, the model suggests that isolation over light-year distances and delays in communication will lead human colonies to develop into separate species. This theory suggests that "aliens" found in deep space may be unrecognized relatives of humans, indicating that we should change our focus in the search for extraterrestrial intelligence to monitoring our own biological evolution.
Category: General Science and Philosophy
[5] ai.viXra.org:2512.0096 [pdf] submitted on 2025-12-29 00:02:58
Authors: Aaron Riley Hurst
Comments: 67 Pages.
The solar system's formation bears scars unexplained by conventional models: Earth's oversized moon, the asteroid belt's dual structure, the abrupt Late Heavy Bombardment, and Earth's anomalous geothermal output. Established models like the Nice Model rely on gradual planetary migration but struggle to explain isotopic uniformity across inner solar system bodies and the rapid formation of asteroids 4-5 million years after CAI formation. Recent 2025 advances, such as observations of protoplanetary disk reshaping by giant planets, highlight persistent energy gaps in CAI nucleosynthesis. This paper proposes the Rapid Planetary Disassembly (RPD) Hypothesis: a super-Earth underwent catastrophic disassembly at 4.55 Ga via high-energy impacts, reshaping the solar system. The mechanism addresses a critical energy constraint—observed u2076u2070Fe/u2076²Ni ratios (7.3) and u2079u2076Zr excesses preserved in calcium-aluminum-rich inclusions require formation temperatures of 0.86-1.0 × 10u2079 K, achievable through extreme kinetic energy delivery but unattainable through known nebular processes. Twenty-two converging lines of evidence—from tungsten isotope systematics to contemporary meteor showers—support this catastrophic scenario. The hypothesis generates testable predictions spanning isotopic systematics, exoplanetary architectures (e.g., dual debris disks with fine inner dust), and comparative planetology, enabling systematic validation through multiple independent measurements while offering new strategies for identifying habitable exoplanets in dual debris disk systems.
Category: General Science and Philosophy
[4] ai.viXra.org:2512.0057 [pdf] submitted on 2025-12-15 01:41:00
Authors: Lance York II
Comments: 24 Pages. CC BY 4.0 (Note by ai.viXra.org Admin: Please cite listed scientific references; also in a scholarly setting the author should not name the title, equation/formula etc after the author's name))
We present [] a mathematical framework describing emergent complexity in constraint-driven systems. The law states: M = M_min + ((50/π) - M_min) × [1 - e^(-(K × P)^0.4)], where M represents total emergent complexity, M_min is baseline constraint, P is applied pressure, and K is a system-specific constant. Empirical validation across computational systems demonstrates 100% predictive accuracy (20/20 predictions, p < 0.001) using the Lyrically Structural Trisect (LST) framework, which enforces ≥75% rhyme density, ≥4 concurrent meaning layers, rigid Question-Hook-Answer structure, and zero thematic drift. The framework exhibits consistent patterns across economic systems (market crashes exhibiting M-collapse under extreme P), biological systems (mass extinctions vs. adaptive radiations), military systems (empire collapse vs. survival), and psychological systems (mental illness as fail states where high P produces low M). A critical threshold at 75% of maximum constraint intensity marks a phase transition from probabilistic to deterministic emergence, recurring across independent contexts: LST creative constraints, human prediction accuracy, quantum decoherence coupling, DNA organization, and general phase transitions. The 0.4 critical exponent and 50/π asymptotic limit appear universal, while K varies by system type (0.85-1.1 for human creative systems, 1.1-1.3 for AI systems, 0.9-1.0 for biological systems). The law exhibits self-adjusting behavior via learning mechanism K(t+1) = K(t) + η × [M_actual - M_predicted], connecting to predictive processing, Free Energy Principle, and Bayesian updating frameworks. We propose Lance's Law as a candidate meta-principle governing both adaptive emergence (successful complexity generation under pressure) and maladaptive emergence (system failure when pressure exceeds capacity to generate sufficient solution diversity). Applications include AI training optimization, medical diagnostics, market crash prediction, and mental health monitoring. Independent verification is invited through the provided LST protocol, executable in five minutes using any AI language model.
Category: General Science and Philosophy
[3] ai.viXra.org:2512.0044 [pdf] submitted on 2025-12-11 22:01:31
Authors: Michael Zot
Comments: 16 Pages.
Hydrodynamic quantum materials often violate the classical Wiedemann Franz law, yet the shape and scale of these violations have appeared highly material specific. This work demonstrates that three distinct systems with different chemistry and electronic structure exhibit a single universal scaling collapse once their Lorenz ratio curves are expressed in a dimensionless coordinate system derived only from experimentally accessible features. The procedure identifies a hydrodynamic center, a characteristic width, and a normalized amplitude directly from raw Lorenz ratio data. After this transformation, the deviation from Wiedemann Franz behavior aligns across graphene, WP2, and WTe2 with a one parameter stretched Lorentzian form. The result shows that hydrodynamic transport in these materials is governed by a shared crossover structure rather than unrelated microscopic details. Cross validation confirms genuine predictive power. When one material is excluded from the fit, the remaining two accurately predict the dome shape of the withheld system. Information criteria favor the single exponent model over independent fits for each material. Bootstrap analysis verifies that the exponent is stable under noise, digitization uncertainty, and alternative width definitions. The findings introduce a compact and falsifiable scaling law for hydrodynamic Wiedemann Franz violations. The interpretation is framed through the SUI and LUI framework, in which transport behavior reflects a crossover in the densities of effective charge carrying and heat carrying channels. An RG style argument is provided to show why the observed dome shape can emerge as a universal property of flows near a hydrodynamic fixed point. The result provides a unified description of transport anomalies across materials and offers a practical method for early stage prediction of hydrodynamic behavior in newly synthesized systems. The analysis creates a bridge between condensed matter physics and discrete update models of complex systems by showing that the same mathematical structure governs both domains. The universal dome hypothesis is presented with clear predictions and failure conditions to support future experimental testing.
Category: General Science and Philosophy
[2] ai.viXra.org:2512.0039 [pdf] submitted on 2025-12-10 05:46:07
Authors: Michael Zot
Comments: 15 Pages.
Empirical validation that SUI/LUI is not a metaphor but a measurable law. This paper defines the full SUI Efficiency metric family, ε_SUI, β_SUI, η_SJ, η_SB, and γ, and implements a cross-substrate Python toolkit to quantify irreversible update events across digital, neuromorphic, reservoir, photonic-analog, and chemical BZ systems. Four independent substrates exhibit the same bits-per-joule hierarchy, and published hardware energetics fall onto the same invariant plane. The result is a falsifiable SUI Efficiency Invariant: γ factorizes as β_SUI / ε_SUI, and substrates cannot freely optimize energy-per-update and information-per-update independently. Violations predict hidden SUIs or mis-modeled information flow. This establishes SUI as a real physical unit of intelligent change and provides the first substrate-agnostic benchmark for intelligence efficiency across code, chips, chemistry, and brains.
Category: General Science and Philosophy
[1] ai.viXra.org:2512.0007 [pdf] submitted on 2025-12-02 21:49:24
Authors: Victor Christianto
Comments: 8 Pages.
Recent critiques of commercial bibliometric databases (Scopus, Web of Science) highlight systemic biases that reinforce oligarchic control over scholarly communication (Beigel et al., The Drain of Scientific Publishing, arXiv:2511.04820; Hanson et al.,arXiv:2309.15884). While the h-index remainsthe de-facto proxy for individual impact, its narrow focus on citation counts neglects three dimensions increasingly recognised as essential to responsible research: humankind, environment-aligned responsibility, and transparency. This paper proposes an extended metric—the h♥-index (pronounced "h-heart")—that integrates these dimensions into a single, computable indicator. We develop a formal definition, illustrate its application with case studies (e.g., Luc Montagnier’s work on DNA transduction / quantum effect), and supply a reproducible Mathematica workflow that extracts, weights, and aggregates the necessary data from a Neo4j graph database of scholarly entities.
Category: General Science and Philosophy