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The Codex of Authority
Get PDFThis article introduces the concept of the Codex of Authority, a juridical metaphor for the compiled rule that governs without reference to a legislator. In predictive societies, authority is no longer produced by political will but by syntactic form. From automated drafts of the EU’s AI Act to blockchain smart contracts, institutional norms emerge as selfsufficient codices where legitimacy resides in structure rather than origin. By analyzing this shift, the article proposes a framework for understanding how legal authority becomes executable, impersonal, and detached from interpretation. Acknowledgment / Editorial Note This article is published with editorial permission from LeFortune Academic Imprint, under whose license the text will also appear as part of the upcoming book AI Syntactic Power and Legitimacy. The present version is an autonomous preprint, structurally complete and formally self-contained. No substantive modifications are expected between this edition and the print edition. LeFortune holds non-exclusive editorial rights for collective publication within the Grammars of Power series. Open access deposit on SSRN is authorized under that framework, if citation integrity and canonical links to related works (SSRN: 10.2139/ssrn.4841065, 10.2139/ssrn.4862741, 10.2139/ssrn.4877266) are maintained. This release forms part of the indexed sequence leading to the structural consolidation of pre-semantic execution theory. Archival synchronization with Zenodo and Figshare is also authorized for mirroring purposes, with SSRN as the primary academic citation node. For licensing, referential use, or translation inquiries, contact the editorial coordination office at: [[email protected]
TRAMPA TECNO-BIO: ALTERNATIVA LIMPIA PARA EL CONTROL DE PLAGAS AGRÍCOLAS
No full textThe purpose of this project is to design and build an automated and ecological trap for the control of common pests in school and family crops in the department of Sucre, as an alternative to the intensive use of chemical pesticides. It is intended to integrate technological and biological components that allow attracting and capturing insects such as the white fly (Bemisia tabaci) and the codling moth (Spodoptera frugiperda), by means of light stimuli and suction mechanisms. The study incorporates STEAM fundamentals to foster interdisciplinary learning and critical thinking in high school students. It will be developed through a project-based methodology (PBL) and formative research, with field tests, data recording, and scientific dissemination activities.
Keywords: Organic farming, STEAM education, Micro:bit, sustainability, pest control, educational innovation.
 
Computational Analysis of Newly Topp-Leone Data Using Adaptive Progressive Type-II Censoring and Its Applications in Medical and Industrial Sciences
Get PDFReliability analysis is critical in various scientific fields, necessitating robust lifetime models that effectively capture real-world failure mechanisms. This work explores a novel extension of the classical ToppLeone (TL) lifespan model, called the generalized-TL (GTL) distribution, when datasets are gathered from adaptive progressive Type-II censoring. This model is highly superior for analyzing complex lifetime data with diverse hazard rate structures, including decreasing, increasing, and bathtub-shaped patterns. Employing both likelihood and Bayes estimation approaches, this work attempts to infer the unknown parameters and the reliability and failure rate functions of the GTL model. The Bayesian inference is created using the squared-error loss and independent gamma assumptions. Asymptotic and credible intervals are also established for each unknown quantity. Since the posterior density is complicated, the Markov chain using the Monte Carlo approach is utilized to get information from the whole marginal posterior densities and thus assess the acquired Bayesian point and interval estimations. Using four optimality criteria, the optimum censoring is given among competing progressive techniques. The effectiveness of the offered estimations is tested against numerous parameters using comprehensive Monte Carlo comparisons. Lastly, the practical utility of the GTL model is demonstrated through two applications using different real-world datasets collected from veterinary medicine and engineering reliability studies. Our findings state that the Bayes’ setup outperforms classical approaches, particularly in smallsample settings, making the proposed methodology flexible and beneficial in concluding the study when the researcher’s foremost concern is the total number of failed items.OPEN ACCESS Received: 29/03/2025 Accepted: 21/05/2025 Accepted: 22/09/202
Neural Network Model Predictive Control Applied to Parafoil under Turbulence Wind Field
Get PDFIn the field of parafoil flight control, a critical challenge is managing the complex control requirements and mitigating the effects of turbulenceinduced disturbances. This paper explores the intricacies of parafoil control and the influence of the turbulent wind field on system performance. To address the challenges, we propose a Neural Network Model Predictive Control (NNMPC) strategy that utilizes extensive historical operational data, including flight attitude records from multiple flights and control responses under various wind conditions, to develop a neural network model as an alternative to traditional 3-degree-of-freedom (3DOF) models. The proposed approach integrates a NARX (Nonlinear AutoRegressive with Exogenous inputs) neural network into the Model Predictive Control(MPC) framework, leveraging its temporal modeling capabilities to improve prediction accuracy and enhance disturbance rejection. Experimental validation was performed in a simulated turbulence environment using the Dryden turbulence model, with carefully designed control groups in which both traditional MPC and NNMPC were tested under identical initial conditions and target trajectories. The results demonstrate that NNMPC achieves superior trajectory tracking performance, indicating its potential for robust parafoil control in complex atmospheric conditions.OPEN ACCESS Received: 06/03/2025 Accepted: 06/05/2025 Published: 22/09/202
On the application of the virtual element method for problems with inelastic material behaviour
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Systems Elements Analysis: Integrating Model-Based Systems Engineering with Early-Stage Ship Design Tools
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