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Entre dos aguas: Historia de la danza española en Puerto Rico 1900-1960
Programa de Doctorado en Humanidades por la Universidad Carlos III de MadridPresidente: Félix R. Huertas González.- Secretario: Manuel Ramírez Chicharro.- Vocal: Pilar Serrano Betore
Memorias de un colegial del Sacromonte
Se reeditan las ya más que centenarias Memorias de un colegial del Sacromonte que en 1917 compusiera José María Caparrós Lorencio (1876-1935), antiguo alumno que había sido ─últimos compases del siglo XIX─ al docto cobijo del Colegio-Seminario de Teólogos y Juristas de San Dionisio Areopagita, fundado en la floreciente Granada de los albores del XVII. Según destacaba una reseña en aquella hora de su originaria publicación, «para el lector deseoso de conocer la historia de la educación nacional, son muy instructivas porque muestran en cuadros llenos de vida un caso superviviente de antiguas instituciones docentes, y para el artista rebuscador de escenas típicas tiene verdadero interés por la singularidad de algunos asuntos pintados en riqueza de colorido por el discípulo apasionado de la institución que moldeó su espíritu en la primera juventud» , testimonio autorizadísimo, así, de su régimen pedagógico, lo mismo que el de la vida de los colegiales, tan castizo como a la par exponente de uno de esos virajes de la política educativa liberal que, con invocación de la libertad de enseñanza, apostó, siempre entre titubeos, por las mayores holguras en la coexistencia de centros de enseñanza no públicos y en el reconocimiento de los estudios en ellos cursados
A Novel Enhanced Methodology for Position and Orientation Control of the I-SUPPORT Robot
This study presents a novel method for controlling the position and orientation of the bioinspired I-SUPPORT soft robot, which represents a relevant advancement in the field of soft robotics. The approach is based on module actuation decoupling and fractional-order control, offering a more advanced and robust control solution. This innovation enhances the versatility of the robot and illustrates the efficacy of fractional-order controllers, which are comparable to current meta-learning-based controllers. The research involves experiments in both vertical and horizontal configurations, addressing tasks ranging from simple orientation to complex interactions, such as gentle rubbing during bathing activities with the robot. These experimental results exemplify the efficacy of the proposed control strategy and provide a foundation for future research in soft robotics control, underscoring its potential for broader applications and further technological advancement.The research leading to these results has received funding from the following projects: SOFIA: Articulación blanda inteligente con capacidades de reconfiguración y modularidad para plataformas robóticas, with reference PID2020-113194GB-I00, funded by the Spanish Ministry of Economics, Industry and Competitiveness, MCIN/AEI/10.13039/501100011033; ADAPTA: Flexibilización en la robótica industrial: Aplicación de tecnologías de Inteligencia Artificial y Aprendizaje Automático para factorías con alta capacidad de adaptación y resiliencia, with reference PLEC2023-010218, funded by the Spanish Ministry of Economics, Industry and Competitiveness, MICIU/AEI/10.13039/501100011033; Project Soft and Hybrid Robot Phase 2a, National Robotics Program, Singapore; Project Medium-Sized Centre Programme–Centre for Advanced Robotics Technology Innovation (CARTIN), National Research Foundation, Singapore
Ensuring Semantic Consistency in SysML v2 Models Through Metamodel-Driven Validation
Model-Based Systems Engineering (MBSE) relies on formal models for system lifecycle management, supporting model coherence and efficient reuse of components. Modelling languages, particularly SysML v2, provide a standardized framework for complex system modelling, overcoming key limitations of earlier versions. Unlike SysML v1, which was a UML profile and inherited UML"s complexities, SysML v2 is designed to better handle multi-disciplinary, large-scale, and emergent system behaviours. However, the validation of SysML v2 models is still an emerging area, and while some methods are beginning to surface, comprehensive and standardized validation approaches are not yet fully established. This may pose challenges to ensuring correctness and reliability in engineering workflows. This paper presents a systematic, metamodel-based method for validating SysML v2 models, utilising the SysML v2 metamodel as a formal specification. By defining validation rules derived from this metamodel, the method facilitates automated detection of structural and semantic inconsistencies. A practical case study validates the method on SysML v2 models of aerospace, automotive, and software development domains, demonstrating the systematic identification and resolution of errors. This research advances SysML v2 model validation, contributing to broader MBSE objectives by ensuring correct SysML v2 models for complex system development in multi-disciplinary environments.This work is part of the University Carlos III of Madrid (UC3M) research project CICLONES: Collaboration and smart continuous integration in Software and Systems Engineering with MBSE and DevOps. 10.13039/501100006318-Universidad Carlos III de Madrid CRUE-Madroño (Grant Number: 2025
How Challenges Become Opportunities: Micro-credentials and Artificial Intelligence
Proceedings of 2025 IEEE Global Engineering Education Conference (EDUCON), 22-25 Apr. 2025, London, United KingdomAs we move from the Information Age to the Intelligence Age, universities must redefine themselves taking into account recent challenges. Two of these challenges are Micro-credentials and Artificial Intelligence (AI). Micro-credentials certify the learning outcomes of short-term learning experiences, which are typically more flexible and tailored to specific, job-relevant skills, meeting the increasing demand for continuous education. These learning experiences are normally referred to as micro-credential courses or micro-credential programs and disrupt traditional degree models. On the other hand, Artificial Intelligence is disrupting every single aspect of our life and work. Artificial Intelligence tools can work as assistants helping in all kinds of tasks that were previously reserved for humans. Artificial Intelligence can be used in education in many ways, such as to create personalized learning paths, create and optimize educational multimedia content such as text, voice, image, or video, tutor students, and monitor student progress in real-time, contributing to the acquisition of learning outcomes. Putting the two challenges together, Artificial Intelligence can also contribute to generate micro-credentials by ensuring learners demonstrate competence in practical, job-specific skills, enhancing their credibility for employers. Therefore, Artificial Intelligence can playa pivotal role in advancing micro-credential courses and programs, helping universities redefine their offerings to provide personalized, adaptable, and industry-relevant learning experiences. Artificial Intelligence can help in designing the content and the learning experience as with courses in general, but it can also help in designing the specificities of micro-credential courses. The specific “skills” provided by Artificial Intelligence for defining micro-credentials range from clerical work related to mastering formats such as ELM or OpenBadges that are needed to construct digital credentials to creative sug-gestions that aid in designing the details of the micro-credential course. Alternatively, the micro-credentials designed can include topics about Artificial Intelligence, helping the workforce on this important area. This paper analyzes the interplay of these two challenges and how they can help each other, making opportunities out of challenges.This work was supported by grants PID2023-146692OB-C31 (GENIE Learn project) and PID2020-112584RB-C31 (H2O Learn project) funded by MICIU / AEI / 10.13039 / 501100011033, MCIN / AEI / 10.13039 / 501100011033 and ERDF, EU. This research has also received support from Erasmus+ projects MICROCASA (101081924), MICROGEAR (101127144), ECOCredGT (101129122), MOCHILA (101179172) and Fit4Digital (101179175). Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. This work was also partially funded by Universidad Carlos III de Madrid (UC3M) through the Grants for the Research Activity of Young Doctors of the UC3M’s Own Research and Transfer Program and the UNESCO Chair “Scalable Digital Education for All” at UC3M
Hybrid Dual-Band Antenna for 5G High-Speed Train Communication and Positioning Systems
This paper presents a novel dual-band antenna design for simultaneous 5G communication and localization services in high-speed train (HST) scenarios. It operates in the frequency range 1 (FR1) n78 band at 3.5 GHz and the FR2 n258 band at 26.2 GHz. The design combines a dielectric resonator antenna (DRA) and a planar patch antenna to achieve dual-band functionality. This provides efficient performance across both mid-band and millimeter-wave frequencies for advanced 5G applications. The dual-band configuration is motivated by the need to balance wide coverage and high data rates within a single, compact antenna design, addressing the specific challenges of maintaining stable connectivity and efficient spectrum utilization in high-speed, data-intensive environments. A common challenge in dual-band antenna designs is the interference between low- and high-frequency antennas, which can significantly degrade performance or even cause antenna failure. Our design addresses this issue by minimizing interference between the patch and DRA elements, ensuring stable operation across both frequency bands. As a result, the antenna achieves impressive gains and bandwidth, with a maximum gain of 6.8 dBi and an impedance bandwidth of 22.5% for the dual-band configuration. Also, both radiators present high total efficiency above 90%. The compact size of the antenna makes it highly suitable to be mounted on the roof of the train to enable 5G communication and location-based services for both safety-critical and liability-critical applications in HST scenarios.Kerlos Atia Abdalmalak's work is supported by the Recualificacion-Margarita Salas grant (call of Universidad Carlos III de Madrid) financed by the Ministry of Science, Innovation, and Universities and the European Union-Next Generation EU. This work has been supported by the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with UC3M (WiHEAT-CM-UC3M)
Exergy Analysis of the Discharge of Sensible Heat Thermal Energy Storage Systems: Granular Material vs. Solid Blocks
Thermal energy storage (TES) systems are essential components of concentrating solar power (CSP) plants that enable uniform generation of green electricity and process heat. The performance of sensible heat TES systems based on granular material and on solid blocks was experimentally analyzed during the discharge process. A granular material TES system was studied in its operation as a regular fluidized bed and as a confined bed that restricted the motion of the granular material via mechanical confinement. The pressure drop required to circulate the heat transfer fluid (HTF) through the TES system made of alumina blocks was measured to be two orders of magnitude lower than that used in the granular material TES system, being uniform and close to 0.2 bar for operation of the fluidized bed and decreasing from 0.65 to 0.3 bar for the confined bed. The evolution of the exergy efficiency of the TES systems along the discharge process was determined by obtaining an inversed exponential reduction for the fluidized bed TES system, a parabolic reduction for the alumina block TES system, and a roughly uniform value for the confined bed TES system. The exergy efficiency of the confined bed TES system, considering the HTF pressure drop as a parasitic consumption of the plant, remained higher than 90% during the complete discharge process.This research was funded by Spanish Government, grant number PID2019-109224RA-100. The research was also supported by a USA–Spain Fulbright grant under the Florida Polytechnic University program
Global spillovers of taxation in the online advertising market. Theory and evidence from facebook
We study the effect of corporate taxes on multinational digital platforms and the global online advertising market. Using a novel dataset of advertising prices and user product preferences from Facebook, jointly with international trade data, we show that an increase in the platform"s corporate tax rate in several countries had a sizeable effect on advertising prices therein. Given the platform"s two-sided and multinational structure, we also document substantial spillovers in the effects of ad prices across countries. The results are consistent with our theoretical model, which shows that, due to consumers" limited tolerance for ads, the platform reduces the supply of ads to advertisers located in countries where it faces a higher tax rate
Web of Shadows: Investigating Malware Abuse of Internet Services
Internet Web and cloud services are routinely abused by malware, but the breadth of this abuse has not been thoroughly investigated. In this work, we quantitatively investigate this abuse by leveraging data from the Cyber Threat Alliance (CTA), where 36 security vendors share threat intelligence. We analyze CTA data collected over 4 years from January 2020 until December 2023 comprising over one billion cyber-security observations from where we extract 7.7M URLs and 1.8M domains related to malware. We complement this dataset with an active measurement where we periodically attempt to download the content pointed out by 33,876 recently reported malicious URLs. We investigate the following questions. How generalized is malware abuse of Internet services? How do domains of abused Internet services differ? For what purpose are Internet services abused? and How long do malicious resources remain active? Among others, we uncover a broad abuse affecting 22K domains of Internet services, that Internet services are largely abused for enabling malware distribution, and that malicious content in Internet services remains active longer than on malicious domains.The work conducted by UC3M is supported by theSpanish Ministry of Economic Affairs and Digital Transformation through the UNICO 5G I+D project, 6G-RIEMANN. This work was also partially funded by the Spanish Government’s MCIN/AEI/10.13039/501100011033/ through grants TED2021-132464B-I00 (PRODIGY) and PID2022-142290OB-I00 (ESPADA), co-funded by the European Union’s ESF, EIE, FEDER, and NextGeneration funds. NEC’s contributions are funded by the European Union’s Horizon Research & Innovation Action (RIA) programme under grant agreement No. 101136024 (Empyrean) and No. 101139285 (Natwork). The latter has also been funded by the Smart Networks and Services Joint Undertaking (SNS JU). Funding for APC: Universidad Carlos III de Madrid (Agreement CRUE-Madroño 2024).
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