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Slide 1 of 5 Publicación Acceso Abierto
Morphological fingerprints of forbush decreases and their relation to geomagnetic storm severity
(Instrumentation and Methods for Astrophysics, 2026-06-19) Perez Navarro, Juan Diego; Sierra Porta, David; Grupo de Investigación Gravitación y Matemática Aplicada; Semillero de Investigación en Astronomía y Ciencia de Datos
Forbush decreases (FDs) are transient depressions in the galactic cosmic-ray flux observed by global neutron-monitor networks and are commonly associated with interplanetary disturbances driven by coronal mass ejections and related shocks. Despite extensive observational work, quantitatively comparing FD morphology across events and linking it to storm severity remains challenging due to heterogeneous station responses, coverage gaps, and the multivariate nature of the network. This work introduces a graph-based event representation in which each FD is mapped to an event network constructed from pairwise dissimilarities between station response time series. A controlled sparse backbone is obtained via the minimum spanning tree, enabling comparable event graphs across cases. From each graph, a compact set of geometric/topological fingerprints is computed, including global integration measures, spectral summaries, mesoscopic structure, centrality aggregates, and complexity descriptors.
Predictive skill is assessed using strict leave-one-event-out validation over a pre-defined grid of distance metrics and distance-domain transformations, with selection criteria fixed \emph{a priori}. The proposed fingerprints exhibit measurable signal for three tasks: (i) multi-class classification of geomagnetic storm intensity (G3/G4/G5) with moderate but consistent performance and errors dominated by adjacent categories; (ii) stronger binary severity screening (≥G4 vs. G3) with high sensitivity to severe events; and (iii) drop regression with partial least squares achieving positive explained variance relative to a fold-wise mean baseline.
Slide 2 of 5 Publicación Acceso Abierto
Memoria histórica-democrática y patrimonio de la humanidad: el escudo personal de Franco en el Monasterio de Santa María de Sobrado
(Revista Anual de Historia del Arte, 2026-07-02) Vázquez Miraz, Pedro; Posada Llorente, Marcos Ricardo; Pastrana, Camilo Andrés; Grupo de Investigación Desarrollo, Salud y Desempeño Humano; Grupo de Investigación en Justicia Global (GIJUS)
El presente escrito denuncia la existencia del escudo personal del dictador Francisco Franco en el Monasterio de Sobrado, un monumento Patrimonio de la Humanidad, protegido por la UNESCO. Previo un análisis comparativo de las Leyes de Memoria Histórica y Democrática y una revisión de publicaciones científicas relacionadas con el Patrimonio religioso y el franquismo, el artículo pretende comprender los orígenes y causas de la existencia de este símbolo específico. Los resultados evidencian que la presencia del escudo en el monasterio es un hecho consciente por parte de la comunidad religiosa, recomendándose su supresión y conservación en un almacén militar.
Slide 3 of 5 Publicación Acceso Abierto
Magnitude-dependent quantum advantage in Forbush decrease detection: A quantum kernel SVM benchmark
(Astronomy and Computing, 2026-07-04) Sierra Porta, David; Grupo de Investigación Gravitación y Matemática Aplicada; Semillero de Investigación en Astronomía y Ciencia de Datos
Forbush decreases (FDs) — transient reductions in galactic cosmic ray intensity driven by interplanetary coronal mass ejections — are key observables in space weather monitoring, yet their automated detection from multivariate solar wind and neutron monitor time series remains a challenging classification problem. Here we report a systematic benchmark of quantum kernel support vector machines (QKSVM) for FD detection, in which the FD magnitude threshold emerges as the governing factor separating two distinct classification regimes. Using 2971 confirmed events from the Forbush Effects and Interplanetary Disturbances (FEID) catalogue, combined with hourly OMNI solar wind parameters — including interplanetary magnetic field (IMF) components, solar wind speed, proton density, proton temperature, and the Kp and Dst geomagnetic indices — and galactic cosmic ray count rates from the Jungfraujoch neutron monitor station (JUNG, NMDB), we construct a balanced FD versus quiet-time classification dataset and extract 121 statistical features across eleven physical channels. A ZZFeatureMap quantum kernel with 4–8 qubits is benchmarked against a classical radial basis function (RBF) SVM across 180 experimental configurations spanning FD magnitude thresholds of 0%–7%, circuit depths of 1–3 repetitions, and quantum training sizes of 50–250 samples. We find that below a magnitude threshold of 4%, the classical kernel consistently outperforms the quantum alternative (mean at min_magn %). Above this threshold, the relationship inverts: at min_magn % the quantum kernel achieves positive mean in 72% of configurations, rising to 100% of configurations at min_magn % (mean , peak with 4–8 qubits), indicating that the entanglement structure of the ZZFeatureMap captures non-linear correlations between IMF dynamics and cosmic ray modulation that the RBF kernel cannot represent. The magnitude threshold of 4% thus constitutes a physically interpretable boundary between a noise-dominated regime where classical methods suffice and a signal-rich regime where quantum kernels provide measurable and statistically significant advantage (, Wilcoxon signed-rank test). These results establish FD magnitude as a key predictor of quantum classification performance, and suggest that near-term quantum machine learning applications in heliophysics should preferentially target high-amplitude space weather events.
Slide 4 of 5 Publicación Acceso Abierto
Women’s scarcity in academic governance. Gendered identity or gendered processes?
(VEZETÉSTUDOMÁNY / BUDAPEST MANAGEMENT REVIEW, 2021-03-31) Solano Cahuana, Iris Laudith
This article contributes to the empirical evidence for women’s scarcity in academic governance. The study evaluates to what extend women lean towards non-management careers and dismiss opportunities to attain executive roles in Colombian public universities, as well as the support received when they break the paradigm. The purpose was to determine
whether gendered practices are ingrained in the designation process or whether women’s scarcity is the outcome of individual attributes/choices and collective perceptions of inadequacy. Data was collected from universities’ proceedings, opinion polls of rectors’ designations, and candidates’ curricula. Findings show low female candidacy rate but high public
support for female candidates to the rector’s seat among all universities examined. Also, curricula’s in-depth analyses display women’s preference for male-dominated careers and analogous academic/administrative experience to that of male candidates. Hence, the results challenge explanations presented by human capital and congruity prejudice theories, while leaning towards gendered processes and identities.
Slide 5 of 5 Publicación Acceso Abierto
Bio-oil and bio-crude gasification for syngas production: energy, exergy and environmental analyses
(ASME, 2026-06-24) Buelvas, Ana; Quintero - Coronel, Daniel A.; Fajardo Cuadro, Juan Gabriel; Barreto Ponton, Deibys; Bula, Antonio; González- Quiroga, Arturo; Grupo de Investigación Energías Alternativas y Fluidos (EOLITO)
Fast pyrolysis is a thermochemical process that converts solid biomass into bio-oil, biochar, and non-condensable gases. In this study, a simulation model was developed in Aspen Plus® using the Ranzi kinetic mechanism to describe biomass pyrolysis. Two gasification pathways were evaluated: bio-oil and bio-crude (a mixture of bio-oil and biochar), employing air and steam as gasifying agents. The Waste Reduction Algorithm was also applied to estimate Potential Environmental Impacts (PEI). Results showed that bio-oil gasification of empty fruit bunches (EFB) achieved higher energy and exergy efficiencies than rice husk (RH). For bio-crude gasification, energy efficiencies reached 50.8% and 44.3% for EFB with air and steam, respectively, while RH achieved 41.1% and 37.7%. Exergy analysis demonstrated that steam gasification improved thermodynamic performance, despite higher energy requirements. For EFB, exergy efficiencies ranged from 64.1% to 70.1% for bio-oil and from 62.9% to 71.9% for bio-crude, whereas RH presented lower efficiencies (53.9%–64.1%) due to its high ash content. Grassmann diagrams indicated that the greatest exergy destruction occurred during combustion and heat transfer, while syngas streams contributed the main exergy gains. Environmental assessment revealed maximum PEI values of 86.5 and 61.2 PEI/h for RH-derived bio-oil using air and steam. Overall, indirect gasification routes appear more efficient and environmentally favorable.
