(Springer, 2025) Algaba Durán, Encarnación; Rémila, Eric; Solal, Philippe; Matemática Aplicada II (ETSI); Ministerio de Ciencia e Innovación (MICIN). España
A cooperative game with a coalition structure is formed by a TU-game and a partition of the agent set. For this class of games, the Owen value is computed as a two-step procedure where the relevant coalitions are those formed by the union of some elements of the partition and a coalition of another element of the partition. In this paper, we consider a broader class of games where the partition is replaced by a collection of (not necessarily pairwise disjoint) coalitions over the agent set and where, in each element of this collection, cooperation among the agents is restricted. Agents then organize themselves into a profile of feasible coalitions. This class of games can be applied to several situations such as the problem of allocating aircraft landing fees in the presence of airlines and codeshare flights. We begin by defining and axiomatically characterizing the class of flow methods, which are marginal values whose coefficients induce a unit flow on the graph of feasible coalition profiles. We then define Owen-type values constructed from flow methods. We show that these values are flow methods whose flow is decomposable into two flows. Finally, we introduce two axioms from which we characterize the flows that can be decomposed in this way, and hence the flow methods constructed by our Owen-type procedure. The last part of the paper studies some special cases.
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Akinwumi, Joseph O.; Gao, Yuan; Yuan, Xin; Vázquez Pérez, Sergio; Ruiz, Harold S.; Ingeniería Electrónica; Ministerio de Ciencia e Innovación (MICIN). España; University of Leicester
In this study, we propose a long prediction horizon finite control set model predictive control (FCS-MPC) framework for PMSMs. Initial simulations using a one-norm cost function resulted in instability in switching frequency control, particularly due to the inherent limitations imposed by the sampling interval when no control effort was applied. To mitigate this, we reformulated the MPC framework using a two-norm cost function within a sphere decoding algorithm (SDA), which, at high sampling intervals (>40 μs), resulted in an undershoot in the direct-quadrature axis. Extensive simulations were conducted over a range of sampling intervals (1–80μs), revealing that while a 10μs interval achieved the lowest THD, it also led to an increased switching frequency. To address this trade-off, a weighting factor tuning approach was employed, effectively reducing switching frequency while maintaining acceptable THD levels. Further investigations analyzed the effects of three-step and five-step prediction horizons, as well as parameter mismatches in the long prediction formulation, providing critical insights into controller robustness. These findings underscore the importance of norm selection, sampling interval optimization, and weighting factor adjustments in balancing THD reduction and switching frequency. The proposed approach enhances system efficiency, reliability, and overall performance, offering significant implications for high-performance aerospace PMSM applications.
(2025) Rosa Pérez, Miriam; Espejo-Cala, Carmen; Periodismo I
Los medios de comunicación británicos desempeñan un papel clave en la construcción del modelo ideal de mujer royal. Más allá de la imagen proyectada por parte de la Casa Real —estudiada como una marca corporativa— la cobertura mediática regula e incluso refuerza esta representación. El punto de vista crítico de la prensa reacciona contra las figuras que transgreden el estereotipo. Meghan Markle es un caso que ejemplifica esta dinámica. Protagonista del estudio, evidencia un discurso negativo hacia su feminidad, la cual desafía ciertas normas y tradiciones establecidas.
A través del análisis de contenido, se examinará las portadas de cuatro medios altamente influyentes en el público británico: Daily Mail, Daily Mirror, The Daily Telegraph y The Sun, en momentos puntuales de la trayectoria de Markle dentro de la familia real. Desde su romance con el príncipe Harry en 2016 hasta el fin de las tareas reales, conocido coloquialmente como Megxit, en 2020, se observa cómo la prensa de Reino Unido actúa con un mecanismo de control simbólico en la historia del periodismo.
(Springer Nature, 2025-06-06) Chozas, Sergio; Mira, André F.; Serrano, Manuel; Medina, Nagore G.; Hortal, Joaquín; Díaz Antunes-Barradas, María Cruz; Biología Vegetal y Ecología; Ministerio de Ciencia, Innovación y Universidades (MICIU). España
Fire significantly contributes to the distribution, composition, and functioning of ecosystems. It is also among the most damaging disturbances, exacerbated by increasing fire intensity and extent due to climate change. However, some ecosystems, like Mediterranean scrublands, recover quickly due to species’ adaptations to frequent fire regimes. This study investigates the community assembly processes during a secondary succession following the fire in a dune system within Doñana Natural Park, Southern Spain. To achieve this, three shrub communities were characterised along a coast-to-inland gradient over two consecutive years using a Non-Metric Multidimensional Scaling ordination. Then, a set of ecophysiological and structural traits of the dominant shrub species were analysed through a Principal Component Analysis, and correlation analyses were performed to assess the relationships between the three communities and the studied traits. Finally, to investigate the spatial structure of the shrub communities, a co-occurrence network was constructed and Moran’s I analyses were conducted. The results revealed that natural secondary succession has restored shrub communities along the gradient to states similar to those existing before the fire, indicating a consistent recovery pattern. Although species composition was comparable across zones, community spatial structure and several traits varied from coastal to interior areas, with more complex co-occurrence networks observed inland. Overall, the results underline the significance of environmental filters and species interactions in shaping community assembly during secondary succession after fire. Furthermore, they highlight that post fire community responses can be predicted through mechanisms linking the regional species pool, regeneration traits, and physical heterogeneity.
(Elsevier, 2025-07) Márquez Trujillo, Antonio Germán; Varela Vaca, Ángel Jesús; Gómez López, María Teresa; Lenguajes y Sistemas Informáticos; Ministerio de Ciencia, Innovación y Universidades (MICIU). España
The increasing reliance on third-party dependencies in soft- ware development introduces significant security risk chal- lenges. This study presents a dataset that maps the vulnera- bilities that affect dependencies in three major package managers: Node Package Manager (NPM), Python Package Index (PyPI), Cargo Crates and RubyGems. The dataset comprises information on 4437,679 unique packages and 60,950,846 versions of packages, with vulnerability data sourced from Open Source Vulnerabilities (OSV). It includes 270,430 known vulnerabilities linked to package versions, allowing a detailed analysis of security risks in software supply chains.
Our methodology involved extracting dependency and version data from official package manager sources, correlating them with vulnerability reports, and storing the results in structured formats, including CSV and database dumps. The resultant dataset enables automated monitoring of vulnerable dependencies, facilitating analysis and security assessments, and defining mitigation strategies. This work identifies that 0.42 % of PyPI, 7.5 % of RubyGems, 3.91 % of Cargo and 6.93 % NPM versions rely on at least one vulnerable dependency. Furthermore, PyPI has 329 latest versions affected, RubyGem 919, Cargo 53, and NPM 14,858. This dataset provides valuable information for researchers, devel opers, and security professionals looking to improve software supply chain security. It provides a foundation for developing tools aimed at security and data analytics, enabling early vulnerability detection and improving mitigation controls for dependency-related security risks, thus promoting more secure software ecosystems. The dataset can be extended by incorporating additional packages, introducing new features, and ensuring continuous updates.
