The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. https://ebiltegia.mondragon.edu:443/xmlui 2026-07-17T11:18:50Z 2026-07-17T11:18:50Z Albisua, Neritzel https://hdl.handle.net/20.500.11984/14629 2026-07-17T11:06:08Z 2026-06-22T00:00:00Z

Más allá del acceso: valor, legitimidad y mercantilización en el deporte en edad escolar Albisua, Neritzel El deporte en edad escolar mantiene una fuerte legitimidad normativa como espacio de salud, inclusión y desarrollo positivo. Sin embargo, esa legitimidad puede ocultar una transformación menos visible: la reorganización institucional de las condiciones bajo las cuales ciertas trayectorias llegan a ser reconocidas como valiosas, sostenibles y merecedoras de inversión. Este artículo desarrolla una intervención teórico-conceptual orientada a reconstruir la mercantilización del deporte en edad escolar más allá de sus manifestaciones más visibles, como el encarecimiento, la privatización o la intensificación competitiva. A partir de una lectura relacional de trabajos recientes sobre desigualdad de acceso, especialización temprana, calidad de la experiencia, abandono y dataficación, y en diálogo con la sociología institucional, la sociología de la infancia y la teoría bourdieusiana del campo, el texto articula tres dimensiones de análisis: la posibilidad deportiva, la temporalidad legítima de la infancia deportiva y la producción institucional del valor deportivo. Se concluye que la mercantilización no produce solo desigualdad distributiva, sino también mecanismos de cierre social y legitimación desigual mediante los cuales diferencias socialmente producidas pueden convertirse en señales legítimas de talento, potencial o mérito deportivo.; School-age sport is commonly presented as a beneficial practice for health, inclusion, education, and the development of children and adolescents. However, participating in sport does not always mean having access to the same opportunities. In many contexts, sporting trajectories increasingly depend on families’ capacity to sustain costs, time commitments, travel, specialized training, and continuity in competitive environments. This ar-ticle develops a theoretical-conceptual approach to this process through the concept of commodification. The aim is not only to analyze whether school-age sport is becoming more expensive or more privatized, but to understand how sporting value is produced; that is, how certain trajectories come to be considered more promising, legitimate, and worthy of support than others. To this end, three analytical dimensions are articulated: the possibility of initiating and sustaining a sporting trajectory, the organization of children’s sporting time around future expectations, and the institution-al production of sporting value. Drawing on recent literature on inequality, early specialization, dropout, quality of experience, and datafication, the article argues that commodification not only limits access, but also trans-forms pre-existing social inequalities into apparently legitimate signs of tal-ent, potential, or sporting merit

2026-06-22T00:00:00Z Etxezarreta, Xabier Turrin, Federico Garitano, Iñaki Iturbe, Mikel Zurutuza, Urko Conti, Mauro https://hdl.handle.net/20.500.11984/14628 2026-07-15T06:15:50Z 2026-01-01T00:00:00Z

Replica-Based Moving Target Defense Against Injection Attacks in Software-Defined Industrial Control Systems Etxezarreta, Xabier; Turrin, Federico; Garitano, Iñaki; Iturbe, Mikel; Zurutuza, Urko; Conti, Mauro Recent incidents have demonstrated the increasing vulnerability of Industrial Control Systems (ICSs) to sophisticated and targeted attacks orchestrated by adversaries with high motivation, resources, and domain knowledge. Among these threats, False Data Injection (FDI) attacks have emerged as one of the main security threats to ICSs, involving the deliberate manipulation or injection of false data into the control system to deceive or disrupt operations. FDI attacks pose a significant risk due to their high capacity of concealment and ability to evade intrusion detection systems that rely on accurate ICS models. In this paper, we present defclon, a novel Software-Defined Networking (SDN)-based Moving Target Defense (MTD) approach against FDI attacks. Defclon proactively replicates network packets across multiple network paths and adaptively selects a single path using a signaling game model to reach the destination end-device. We demonstrate the effectiveness of our approach through simulations, numerical analysis, and experiments on ICS network traffic and topologies. Experimental results show that defclon is able to not only mitigate the effects of FDI attacks, but also to introduce different levels of uncertainty without degrading network performance, significantly increasing the difficulty for adversaries to gather information and launch attacks.

2026-01-01T00:00:00Z Villuendas Rey, Yenny Camacho-Nieto, OSCAR Tusell Rey, Claudia Salinas García, Viridiana Pino Gómez, Joel https://hdl.handle.net/20.500.11984/14627 2026-07-15T06:15:49Z 2026-01-01T00:00:00Z

Explainable and Evaluative Artificial Intelligence: Alternatives to Ensure Equity in Decision-Making Villuendas Rey, Yenny; Camacho-Nieto, OSCAR; Tusell Rey, Claudia; Salinas García, Viridiana ; Pino Gómez, Joel Explainable Artificial Intelligence (XAI) and Evaluative Artificial Intelligence (EAI) are crucial approaches to ensuring fairness in decision-making. XAI refers to the ability of Artificial Intelligence (AI) systems to be understood and explained by humans, while EAI is a new paradigm that focuses on identifying possible decisions for intelligent algorithms by formulating hypotheses for and against them.

2026-01-01T00:00:00Z Alcibar, Jokin Aguirre, Aitor Aizpurua Unanue, Jose Ignacio https://hdl.handle.net/20.500.11984/14626 2026-07-14T06:15:55Z 2026-01-01T00:00:00Z

A Probabilistic Physics-Aware Battery Health Management Approach for Inspection Drone Operations Alcibar, Jokin; Aguirre, Aitor; Aizpurua Unanue, Jose Ignacio The increasing deployment of inspection drones for monitoring remote and critical infrastructure presents new opportunities and challenges in asset management. These drones operate in demanding environments, where ensuring operational reliability is essential. Among the various subsystems, battery health plays a central role in determining mission success and safety. This chapter presents a physics-aware probabilistic approach for battery health management, integrating data-driven techniques with physics-based models to improve the predictability of battery performance. At the core of this methodology lies a probabilistic machine learning model that provides uncertainty quantification, enabling more informed and robust decision-making. By incorporating this uncertainty-aware perspective into battery discharge forecasting, the approach supports advanced digital maintenance strategies. The methodology is demonstrated to drone-based inspections of offshore wind energy infrastructure, highlighting its contribution to enhancing asset reliability and enabling condition-aware maintenance strategies.

2026-01-01T00:00:00Z