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Screening High Abilities Through Executive Functions
No full textMany potentially talented students remain unidentified and unsupported due to resourcelimitations. This study aimed to create a screening tool to identify highly able studentsthrough a brief assessment of Executive Functions (EF). The TEXI questionnaire for EF wasadministered to students in an enrichment program for highly able students (n = 53) andmainstream education (n = 34). Additionally, the CHEXI questionnaire gathered parents’ per-spectives on their children’s EF abilities (n = 28) to check diverse perspectives. Data analysisshowed that highly able students had superior EF abilities, particularly in working memoryand cognitive flexibility. Hence, evaluating EF benefits the screening process for highly ablestudents, and incorporating diverse viewpoints from parents and children can improve itsefficacy
La visibilidad de los discursos femeninos en el teatro de Diana M. de Paco Serrano
No full textHoy en día estamos viendo cómo se empieza a recuperar y dar valor a las voces de las
mujeres, que durante mucho tiempo fueron silenciadas por el patriarcado. Esta
recuperación no solo es visible en lo social o lo político, sino que también aparece con
fuerza en el teatro actual del que hace gala Diana de Paco Serrano. Su dramaturgia está
en relación con la representación de las mujeres y las formas de violencia estructural que
atraviesan sus vidas, poniendo el foco en los procesos de empoderamiento, sororidad y
reapropiación de la palabra para hacer una crítica a los estereotipos de género impuestos
por el sistema patriarcalToday we are witnessing how women’s voices—silenced for so long by the patriarchy—
are beginning to be recovered and valued again. This recovery is not only evident in the
social and political spheres, but also emerges strongly in contemporary theatre, as seen in
the work of Diana de Paco Serrano. Her dramaturgy focuses on the representation of
women and the forms of structural violence that shape their lives, highlighting processes
of empowerment, sorority, and the reclaiming of speech as a way to challenge the gender
stereotypes imposed by the patriarchal system
Stochastic Simulation Dataset of IoT Malware Spread Using Individual-Based SIR Models and Topological Overlap Measures
No full textThis dataset contains simulation data generated from two individual-based stochastic models for malware propagation in an Internet-of-Things (IoT) network: a continuous-time Gillespie SIR model and a discrete-time Monte Carlo SIR model.
For each modeling framework, two variants are included: the standard version (Gil / LMC) and the version incorporating the Topological Overlap Measure (TOM) (GilT / LMCTOM).
All simulations are executed on a 128-node IoT communication network generated as a power-law cluster graph.
Each simulation is stored as an independent CSV file in pivoted format, where rows represent network nodes and columns represent temporal steps produced by the algorithm (event steps in the Gillespie method and iteration steps in the Monte Carlo method).
The dataset is suitable for research on malware propagation, stochastic processes on networks, graph-based machine learning models, and cybersecurity analytics.This publication is part of the AI4SECIoT project ("Artificial Intelligence for Securing IoT Devices"), funded by the National Cybersecurity Institute (INCIBE), derived from a collaboration agreement signed between the National Institute of Cybersecurity (INCIBE) and the University of Burgos. This initiative is carried out within the framework of the Recovery, Transformation and Resilience Plan funds, financed by the European Union (Next Generation), the project of the Government of Spain that outlines the roadmap for the modernization of the Spanish economy, the recovery of economic growth and job creation, for solid, inclusive and resilient economic reconstruction after the COVID19 crisis, and to respond to the challenges of the next decade
Too late to clean plastic up?
No full text¿Demasiado tarde para limpiar los plásticos? guía al alumnado a través de un recorrido interdisciplinar para comprender el impacto ambiental del plástico. Inspirada en la novela gráfica de Rachel Hope Allison, el material didáctico que presentamos combina lectura, debate y actividades prácticas para ayudar al estudiantado a explorar cuestiones clave sobre la contaminación, los ecosistemas y la responsabilidad humana.
A través de tareas individuales y colaborativas, así como de proyectos creativos, el alumnado investiga las causas y consecuencias de los residuos plásticos, analiza sus efectos en la vida marina y en las comunidades, y propone soluciones innovadoras. Paso a paso, desarrolla competencias esenciales en alfabetización crítica, indagación científica, creatividad y conciencia social, al tiempo que fortalece su comunicación en inglés.
Este material, compuesto por tres unidades y diseñado dentro del modelo PROMISED, ofrece al profesorado un marco flexible y listo para usar que conecta la literatura, la educación STEAM y la ciudadanía global. El material se adapta a distintos contextos educativos y puede implementarse no solo en inglés, sino también en otras lenguas, ofreciendo así un recurso versátil que impulsa la innovación en aulas bilingües y multilingües. Incluye actividades prácticas, recursos digitales y herramientas de evaluación, todos ellos alineados con los retos globales de sostenibilidad.
Sobre el proyecto:
PROMISED es un proyecto Erasmus+ coordinado por la Universidad de Burgos en colaboración con Howest University, la Universidad Matej Bel, la Universidad de Granada, el CFIE de Burgos y Kveloce. Su objetivo es diseñar e implementar un modelo didáctico innovador que integre la educación STEAM, el aprendizaje bilingüe (AICLE/CLIL), la sostenibilidad y las competencias digitales en la educación secundaria, promoviendo así las transiciones verde y digital en la educación en Europa, para responder a las necesidades del alumnado del siglo XXI y apoyar a los centros escolares frente a los desafíos educativos actuales.This work is part of the scientific studies carried out within the framework of the PROMISED project (Pro-moting twin transition through Integrated STEAM in bilingual Secondary Education). PROMISED is funded under the Erasmus+ Programme, Key Action 2: Cooperation Partnerships in School Education (Reference: 2023-1-ES01-KA220-SCH-000157221). The project is coordinated by the University of Burgos (Spain) and involves the following partners: Senior Europa S.L. (Kveloce, Spain), the Teacher Training and Educational Innovation Centre of Burgos (CFIE, Spain), Matej Bel University (UMB, Slovakia), Howest University of Ap-plied Sciences (Belgium), and the University of Granada (Spain). This project has been funded with support from the European Commission. This website and the fact-sheets, reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therei
New approach using alternative proteolytic enzymes to the conventional enzyme pronase for the isolation of bread melanoidins
No full textBread melanoidins are melanoproteins classically extracted with the proteolytic enzyme pronase E (S. griserus). In this study, the structure and functionality of melanoidins extracted with the proteolytic enzymes papain (PE) and enzymes from B. subtillus (SP) and a mixture from B. subtillus and A. oryzae (MP) were evaluated. PE extracted melanoidins have the highest nitrogen (4.3 %) and protein (29 %) content. FTIR showed that PE had a higher protein content and pronase had higher in carbohydrates. The K420 and K345 values and antioxidant capacities of the PE extract were similar to pronase and higher than the other microbial enzymes. After in vitro digestion, the increased in the antioxidant capacity was most pronounced in the PE extract. No neurotoxicity was observed, as evidenced by no neuronal cell death or changes in neuronal ROS levels. These results indicate that the PE enzyme may be a good alternative to pronase for extraction of melanoidins.This research was funded by the Ministry of Science and Innovation, Spanish State Research Agency and European Regional Development Fund (TED201-132195B-I00)
InvIPM: Toolbox for segmentation optimization of images of metallic objects using illumination-invariant transforms
No full textThe automation of industrial quality control based on artificial (computer) vision can avoid some of the problems associated with tedious and repetitive manual procedures that will often originate operator errors. Automatic quality control can also be applied uninterruptedly. However, strategies of that sort have some drawbacks. One is associated with image acquisition under controlled illumination conditions. The material characteristics of an object for analysis will also influence the final result. For example, the illumination of metallic objects or objects with metallic finishes will generate specular reflection and shadow, which must be minimized. The illumination effect on subsequent processing stages may be analysed by applying segmentation techniques (based, for instance, on clustering strategies), to identify the number of objects. In this study, a MATLAB desktop application for image processing was developed, where illumination-invariant transforms were applied prior to image segmentation, to improve the quality of segmentation results. A set of illumination-invariant transforms and clustering-based segmentation methods were applied and the segmentation quality (if there was a groundtruth image) was quantified. The experimental results obtained with 4 illumination-invariant algorithms, 4 clustering-based segmentation algorithms, and 29 images of metal parts acquired by factory operators and manually segmented by researchers, demonstrated significant improvement to image segmentation following the application of illumination-invariant transforms.This work has been partially funded by project � � �− 20221059, from the Centro para el Desarrollo Tecnológico y la Innovación (CDTI), and also partially by the indirect costs with code CILT.00 from the university of Burgos
Thermodynamic study of binary mixtures of alcohols and alkoxyethanols for fuel applications: excess molar enthalpies and local composition models
No full textThe growing demand for transportation has made the sector one of the largest sources of air pollution globally, directly impacting environmental quality and human health. To address these challenges, various mitigation strategies are being investigated, particularly those targeting emissions from vehicles using internal combustion engines. Among these, the incorporation of oxygen-rich additives, such as long-chain alcohols and alkoxyethanols, has shown promise in enhancing fuel compatibility and improving combustion behaviour, which can lead to reduced pollutant emissions. Understanding their thermodynamic behaviour, particularly excess molar enthalpy,
, is crucial for optimizing fuel formulations, as hydrogen bonding and steric effects influence mixing behaviour, stability, and performance. The presence of hydroxyl (–OH) functional group in each component (alcohol or alkoxyethanol) introduces varying degrees of complexity, depending on molecular structure, steric hindrance, and the ability to form intermolecular networks. In the present work, an isothermal flow calorimeter was employed to measure the
of mixtures involving alcohols and alkoxyethanols at two different temperatures: 298.15 K and 313.15 K, yielding a total of 304 experimental data points. The measured results were correlated using the Redlich–Kister equation (R–K) and modelled with various local composition models, including UNIQUAC, NRTL, and UNIFAC models. The results show that the first two models provided accurate predictions of
, effectively capturing the impact of hydrogen bonding and steric hindrance on mixing behavior. Although the UNIFAC model successfully predicted the overall thermodynamic trends of the mixtures, it exhibited systematic deviations, either underestimating or overestimating
, due to its limitations in describing specific molecular interactions. The analysis shows that all analysed binary mixtures exhibit endothermic behaviour at different temperatures.Open access funding provided by FEDER European Funds and the Junta de Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027. Open access funding was provided by UNIVERSIDAD DE BURGOS
Optimization Strategies for Standalone Virtual Reality Experiences: the Virtual Reconstruction of the City of Aquinum
Get PDFComunicación presentada en Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) 2025, celebrado durante los días 8-12 de marzo en Saint Malo, Francia.This study presents an optimized 3D modelling procedure for the development of immersive Virtual Reality (iVR) experiences. It has been tested by conducting the virtual reconstruction of the Roman city of Aquinum (Italy), a key archaeological site. The resulting 3D model demonstrates a high Level of Detail (LoD) across a total area of 17,570 m2 (2,470 m2 of which are explorable) with a file size of only 46.2 MB, incorporating just six unique textures. This research not only delivers an accurate reconstruction of the city of Aquinum but also introduces an effective optimization method based on open-source tools
Bending performance of concrete with coarse recycled aggregate and raw-crushed wind-turbine blade at an early age
No full textThe bonded mortar in the Coarse Recycled Aggregate (CRA) reduces both the adhesion in the interfacial transition zones and the stiffness of concrete, which worsens concrete bending behavior. These aspects are more remarkable at early ages due to the lower strength and stiffness developed by the concrete matrix. The stitching effect of the 66.8% by weight of Glass Fiber-Reinforced Polymer (GFRP) fibers contained in Raw-Crushed Wind-Turbine Blade (RCWTB) can counteract these phenomena. This research analyzes the bending behavior of concrete made with up to 100% CRA in combination with 6% RCWTB as aggregate replacement. Early ages (1, 3, and 7 days) and both moist and ambient curing are considered to cover all possible put-into-service situations of concrete elements. Compared to concrete with the same composition but without RCWTB, this waste increased the pre-failure compliance by up to 26.9%, the failure deflection by up to 12.8%, and the failure stress by up to 37.5% when combined with as much as 50% CRA. An earlier concrete age and ambient curing made such effects more notable due to the weaker cementitious matrix. Furthermore, RCWTB provided post-failure load-bearing capacity to concrete, the incorporation of 6% RCWTB to concrete with 50% CRA increasing the absorbed energy under bending loading by 135%. RCWTB also allowed the energy absorbed by concrete to be almost unaffected when adding any CRA amount. All these effects were statistically significant and demonstrate that RCWTB improves the bending deformability of concrete produced with CRA, mainly because of the deflection improvement it caused.g Open access funding provided by FEDER European Funds and the Junta de Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027. This research work was supported by the Spanish Ministry of Universities, MICINN, AEI, EU, ERDF and NextGenerationEU/PRTR [grant numbers PID2023- 146642OB-I00;https://doi.org/10.13039/501100011033; TED2021-129715B-I00]; the Junta de Castilla y León (Regional Government) and ERDF [grant number UIC-231; BU033P23]; and, fnally, the University of Burgos [grant number SUCONS, Y135.GI]
