Zenodo (CERN European Organization for Nuclear Research)

In the context of socio-ecological and climate crises, the global challenges for biodiversity conservation are enormous. These challenges are addressed through a range of conservation regulations, programs, and initiatives stemming from both the public and private sectors. This perspective proposes focusing on the “pluriverses of conservation”, understood as the diverse modes of attention and car…

This article examines Programme Evaluation and Performance Management in East African Development Programmes: Evidence from South Sudan with a focused emphasis on South Sudan within the field of Law. It is structured as a comparative study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregroun…

This work presents a conceptual propulsion architecture based on structured Casimir-Polder interactions in phase-coherent Bose-Einstein-condensate cavity arrays combined with dynamically modulated photonic field structures. The proposed framework explores whether distributed vacuum-energy asymmetries and synchronized compensation-field configurations could, in principle, generate effective spacet…

This technical protocol defines the engineering basis for direct neural-to-vacuum interaction within the Resonant Vacuum Architecture (RVA). It formalizes the coupling between the human brain and the spacetime metric via the Davidenko Absolute ($\lambda_0 = 766.490234$ nm). Key Technical Pillars: The Neural Hamiltonian: Formal operator description of the phase-locking between neural microtubules …

H2E: Human-to-Expert AI Governance Roadmap H2E (Human-to-Expert) is a deterministic AI governance system developed by the Sovereign Machine Lab (SOMALA) for the UNESCO Resilient AI Challenge. Unlike traditional AI safety methods that rely on statistical probabilities and filtering after an output is generated, H2E uses geometric and mathematical constraints to guarantee safety before a single tok…

Background. Businesses are increasingly discovered through generative artificial intelligence (AI) search systems such as ChatGPT, Claude, Perplexity, Google Gemini, and Google AI Overviews. The off-page signals that drive whether a business appears in those answers are not well characterised, and prior work has typically aggregated outcomes across models, masking model-specific behaviour. Method…

This working paper presents a research protocol and analytical framework for studying post-MeToo gender backlash, livestream/podcast creator ecosystems, platform monetization, state-linked influence comparison cases, and data–AI influence architecture. It separates observable public conduct from documentary evidence of paid coordination and uses evidence tiers to avoid unsupported accusations aga…

Volume 1 of the Ordinative Sciences programme. The Technology of Expressions (TE) is a foundational system that formalises the dynamic relationship between identity, coherence, and the generation of reality. Where classical objectivist science measures what has already been collapsed and quantum mechanics describes the indeterminacy of pre-collapse states, TE specifies the operator through which …

This paper defines the four primary measurement quantities of the Branch Admissibility System: Width (W), Encapsulation (E), Participation, and Exposure. These quantities provide a non-generative, non-causal description of competitive structure under constraint, without introducing learning mechanisms or representation normalization. The paper specifies closed definitions for each variable and es…

Interstellar travel represents one of humanity’s oldest and most profound dreams. Proxima Centauri, located only 4.24 light-years away and hosting at least one potentially habitable rocky exoplanet, stands as the most realistic target for our first journey to another star system. This paper presents a comprehensive conceptual design for a crewed or advanced robotic mission to Proxima Centauri, bu…

The greatest health care and pharmaceutical problems remain adverse drug reactions and chemical toxicities. Because of the extensive use of animal testing, conventional toxicology approaches often do not have the mechanistic insights required to relate molecular perturbations to their adverse biological outcomes. To address this limitation, adverse outcome pathway architecture is a sequence of ca…

Horizon Instability as an Admissible Reconstruction ObstructionNo Uncertified Permanent Horizons under Standing-Conserving Exterior Reconstruction This paper develops a reconstruction-theoretic obstruction framework for permanent horizon structures within the AASC admissibility architecture. The result is not a derivation of Hawking radiation, a quantum-gravity proposal, or a dynamical evaporatio…

Public attention to new technologies typically arrives years after their first public emergence — yet this lag has rarely been measured systematically. This work introduces the Zorthex Public Attention Diffusion Lag (L), an empirical indicator defined as the number of months between the first public emergence of a technology (seminal paper or commercial launch) and the first sustained mainstream …

Pitre, Schneider, and Poisson recently established that self-gravitating thin shells with nonvanishing surface energy density σ > 0 and barotropic matter are dynamically unstable on all even-parity angular scales ℓ ≥ 2. We show that their instability mode is absent for thin-shell junctions with σ = 0. For generalized-Vaidya interiors matched to Vaidya exteriors, the first junction condition force…

The proposed SharedAir is a harmonized, human‑centred co‑creation framework designed to guide the participatory design and validation of the MULTIPULM digital health ecosystem for chronic respiratory care (https://www.multipulm.eu/). It structures co‑creation into three iterative cycles (i.e., Shared Understanding, Shared Design, and Shared Validation), embedded in agile sprint logic from early e…

This paper proposes the Weiwen's Law formula M=(S×R)/(D×H) to quantify the steady-state level of systems. The core contributions of this revision are: revealing for the first time the dual effect of D-H transmission—that low H-value behavior not only reduces the D-value of the counterpart system but also accumulates irreversible S-value for it; and systematically elaborating for the first time th…

This paper formalizes the representational boundary conditions under which the Branch Admissibility System (BAS) operates. It establishes that BAS does not assume normalization, convergence, or correction of representations, and instead treats plurality as a permanent structural condition. The paper defines false competition as a representational artifact and specifies the structural limits of BA…

v1.2 update: Added direct Transformer comparison — 54% lower MSE on time-series, 360% higher reward on CartPole.Core innovations:Contemporary AI systems (Transformer, Mamba, MoE) share three structural limitations: static computation depth, frozen inference parameters, and unstructured exploration. Hans Architecture addresses each through: (1) H_spiral — a spiral constraint vector field that tran…