33380 research outputs found

    Turismo Rural Sostenible en Toluviejo, Sucre: Revisión Crítica, Oportunidades y Retos

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    Toluviejo (Montes de María) consolida una oferta de turismo rural y de naturaleza con activos como el mirador de La Piche, arroyos, cavernas, agroecosistemas y memoria cultural. Esta revisión sintetiza el estado del turismo rural sostenible en el municipio, identifica brechas en sostenibilidad ambiental, sociocultural, económica y de gobernanza, y propone líneas de acción con enfoque comunitario y de largo plazo

    The Laplace Residual Power Series Method for Solving Fractional Fifth-Order Korteweg–de Vries Equations

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    This study explores a modern analytical approach for solving the fractional fifth-order Korteweg–de Vries (KdV) equations, which describe intricate wave phenomena influenced by nonlinearity, dispersion, and memory effects. Specifically, the Laplace residual power series method (LRPSM) is utilized to obtain accurate approximate analytical solutions for three fundamental fractional equations: the fractional Sawada–Kotera (SK) equation, the fractional Caudrey–Dodd–Gibbon (CDG) equation, and the fractional Kaup–Kuperschmidt (KK) equation. These equations represent special cases of the broader fractional fifth-order KdV equation. The novelty of this study lies in the application of LRPSM, which addresses the limitations of traditional methods by combining analytical precision with computational efficiency. The method successfully captures fractional dynamics, including soliton-like behaviors and memory effects, demonstrating its capability to model wave attenuation and smoothness influenced by fractional orders. The numerical results demonstrate that this method achieves minimal error margins, validating its robustness and precision in solving nonlinear fractional systems. Numerical examples validate the efficiency and robustness of this method, achieving high accuracy in solving nonlinear fractional systems. The results establish LRPSM as a versatile and reliable tool for solving fractional differential equations, paving the way for advancements in modern wave theory and applications across disciplines such as plasma physics, fluid mechanics, and nonlinear optics.OPEN ACCESS Received: 12/10/2024 Accepted: 21/01/2025 Published: 14/07/202

    Iber v3. Reference manual and GUI. Large wood transport calculation module

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    Large wood plays a vital role in river systems, shaping habitats and supporting biodiversity. However, during floods, large wood transport can threaten infrastructure and communities. Traditional flood models often overlook wood material, despite its natural presence in rivers. To address this gap, the calculation module Iber-Wood was developed and integrated into the Iber model. Iber-Wood combines the Eulerian Iber 2D hydrodynamics with a Lagrangian model to simulate wood as dynamic elements. The model accounts for wood-flow-sediment, wood-wood, wood-infrastructure, and wood-terrain interactions, using two-way coupling. It has been validated with flume experiments and applied to various real rivers using field data. Applications include studying wood-sediment-flow dynamics and bridge-related wood accumulation. Though deterministic, Iber-Wood enables scenario testing and hypothesis exploration for complex wood dynamics

    Advanced thermal control of VARI process with self-heating mold

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    Manufacturing liquid composites with thermoset resins requires precise temperature control throughout the process. In the specific case of vacuum infusion (VARI) in a self-heating mold, one side of the part is in contact with the mold, which is the one that incorporates the heating elements (resistors), while the other side is in contact with the consumables (peelable, bleeder, mesh, vacuum bag), which imposes a substantially different thermal condition that can create thermal gradients. In order to achieve the greatest possible thermal uniformity, not only throughout the length of the part, but also throughout its thickness, additional external heating elements are usually incorporated. In the present work, the thermal control of an infusion process of a leading edge section of a horizontal stabilizer of an aircraft is developed. This control has been developed using the MPC (Model Predictive Control) method, which allows applying the necessary power to the heat sources independently to control the temperature at the measurement points, based on predictions obtained from a reduced-order thermal model (MOR). This reduced representation has been generated using the POD (Proper Orthogonal Decomposition) technique from the thermal matrices obtained from a finite element simulation (FEM) model of the prototype mold, previously adjusted and validated. In order to detect and compensate for the nonlinear behaviors present in the system, mainly due to convection, a perturbation estimator using a Kalman filter is implemented. In addition, the reduced-order model allows a thermal representation of the complete system to be obtained, which facilitates the implementation of virtual sensors in a way that controls not only the temperature at the measurement points, but also at points of the part that would not be possible to monitor with physical sensors, helping to maintain a homogeneous temperature distribution in the material during the manufacturing process. The control scheme has been experimentally validated on the prototype mold, obtaining precise monitoring of the temperature profile and complying with the manufacturing standards of the part

    Maintenance optimization for unavailability enhancement of representative interconnected infrastructure based on minimum cost

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    This paper explores the feasibility of solving a maintenance optimization problem in an interconnected smart grid system, comprising a power grid and a communication network, to reduce system unavailability. The unavailability, which must be in practice under the control of a system operator, is particularly sensitive to critical components in the power grid that must be under preventive maintenance (PM). The main goal is to find an optimal setup of PM within the specified mission time, minimizing system operation costs and reducing time-dependent unavailability. The method for unavailability quantification was remade to include different stochastic models for the unavailability calculation of system components working in different maintenance modes. A cost model is suggested to estimate the cost of various maintenance configurations. By applying these methodological tools designed to benefit users of any complex system, an optimal PM policy was developed for the selected smart grid. This policy reduces grid unavailability by approximately 20% and lowers costs by about 8.5% compared to a configuration without maintenance

    Pol.lució i restriccions a la mobilitat a Catalunya: Un experiment natural basat en la COVID-19

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    Aquest treball investiga l’impacte que té la mobilitat sobre la pol.lució als municipis de Catalunya. Per fer-ho, fem ús de l’experiment natural que representa la pandèmia de la COVID-19 per avaluar fins a quin punt es poden reduir els nivells de pol.lució quan s’estableixen restriccions a la mobilitat i la tecnologia no canvia. Gràcies a l’ús de dades amb un elevat detall temporal, analitzem també els impactes durant els diferents subperíodes de la pandèmia (primera onada, nova normalitat i segona i tercera onades) i a cadascuna de les hores del dia. En conjunt, els resultats d’aquestes anàlisis poden interpretar-se com una aproximació als possibles efectes de fenòmens cada cop més importants en la nostra vida com el teletreball o el comerç electrònic. Classificació JEL: R41, Q53, L8

    AI Syntactic Power and Legitimacy: How AI Structures Shape Authority

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    AI Syntactic Power and Legitimacy: How AI Structures Shape Authority This book consolidates a cycle of research on the structural foundations of authority in artificial intelligence. It brings together a series of peer-reviewed articles that demonstrate how power in AI systems no longer depends on meaning, interpretation, or intention, but on syntactic sufficiency. The argument develops in fourteen chapters, beginning with the autonomy of sense beyond reference and culminating in the colonization of temporality by predictive infrastructures. Along the way, it formalizes a set of theoretical contributions: the regla compilada as a Type 0 grammar of executable authority, the figure of the soberano ejecutable as operator of legitimacy without subject, the theorem of Disconnected Syntactic Authority (DSAT), the theorem of the Limit of Conditional Obedience (TLOC), the δ [E] → ∅ rule of ethical trace deletion, and the formalization of compiled norms as computable legal speech. The book demonstrates that: Authority migrates from agents to structures, producing the sujeto evanescente. Ethical, interpretative, and referential markers can be structurally erased without breaking execution. Legal norms can be transformed into executable grammars with cross-linguistic validity. Predictive infrastructures colonize time, replacing futurity with executable closure. AI Syntactic Power and Legitimacy marks the closure of a first syntactic phase of research, while opening the way to further studies on structural delegation, institutional obedience, and computable legality. Author: Agustin V. Startari, linguistic theorist and researcher in historical studies (UdelaR and University of Palermo). Publisher: LEFORTUNE ISBN: 9798266066687 DOI: https://doi.org/10.5281/zenodo.17154108 and https://doi.org/10.6084/m9.figshare.30158239&nbsp

    A Novel Analytical Framework for Investigating Mittag—Leffler Stability in Fractional Order Reaction—Diffusion Systems

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    In this paper, we develop a novel analytical framework to investigate the Mittag-Leffler stability (MLS) of fractional order reaction—diffusion systems (FO-RDs). By employing fractional calculus and Lyapunov function (LF) techniques, we derive sufficient conditions that guarantee the system’s equilibrium point (EP) is reached within a settling time (ST). Our approach provides explicit estimates for the ST, linking the fractional dynamics to practical stability criteria. The theoretical results are rigorously validated through numerical simulations on a glycolysis RD model, which demonstrates rapid convergence of the state trajectories to the unique equilibrium. These findings not only deepen the understanding of the transient behavior in FO-RDs but also pave the way for applications in biomedical engineering, chemical reactor design, and environmental management, where swift stabilization is essential.OPEN ACCESS Received: 30/03/2025 Accepted: 17/06/2025 Published: 22/09/202

    Evaluation of the properties of Elevated Short Term Aged Asphalt Binder

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    The rheological properties of Asphalt binder are dependent on the induced temperature during mixing, hauling and compaction. Different literatures and manuals recommend the short term aging property to be checked for period of 85 minutes but during construction on the site this time will not be attained and there is a probability of increase on this time. The objective of this study is to determine time-dependent aging property of 80/100 penetration grade bitumen. Four specimens of equal weight were extracted from the Penetration grade-80/100 bitumen. The first specimen checked for quality requirements. The other three specimens are aged using Rolling Thin Film Oven for 85, 115, and 145 minutes to simulate the delay during HMA production, hauling, and compaction. Test results indicated as the time of aging increased, penetration and ductility decreased, while, softening point, flash point, and mass loss increased, but a fire point remained constant. Further rheological study using AST and FST test indicate that there is property change on the stiffness and flow property of asphalt binder

    Citation by Completion: LLM Writing Aids and the Redistribution of Academic Credits

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    Large language models increasingly shape how academic citations are produced, suggested, and normalized. This paper examines the redistribution of academic credit produced by autocomplete and citation recommendation systems. While citation metrics traditionally reflect author intent, the syntactic design of LLM suggestion interfaces introduces a new variable: authority-bearing syntax. Through a double-blind experimental design comparing writing sessions with suggestion disabled, neutral suggestion, and authority-framed suggestion, this study quantifies shifts in citation concentration, novelty, and legitimacy phrasing. Results show that completions containing legitimizing structures (“as established by,” “following the seminal work of”) significantly increase concentration and reduce source diversity. The paper defines three measurable deltas, ΔC (concentration), ΔN (novelty), and ΔA (authority syntax), and demonstrates how predictive phrasing can algorithmically reproduce canonical hierarchies. As a corrective, it proposes a Fair Citation Prompt specification and an editorial checklist to detect and mitigate credit capture through syntactic bias. The findings suggest that citation fairness must be treated not only as a bibliometric concern but as a structural property of text generation systems, requiring explicit governance at the level of language form.. 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

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