https://hdl.handle.net/10259/9476 2026-05-26T16:14:52Z 2026-05-26T16:14:52Z Gui, Baoling Sam, Lydia Bhardwaj, Anshuman Soto Gómez, Diego González Peñaloza, Félix Buchroithner, Manfred F. Green, David R. https://hdl.handle.net/10259/11723 2026-05-26T08:24:00Z 2025-09-01T00:00:00Z

SAGRNet: A novel object-based graph convolutional neural network for diverse vegetation cover classification in remotely-sensed imagery Gui, Baoling; Sam, Lydia; Bhardwaj, Anshuman; Soto Gómez, Diego; González Peñaloza, Félix; Buchroithner, Manfred F.; Green, David R. Growing global population, changing climate, and shrinking land resources demand for quicker, efficient, and more accurate methods of mapping and monitoring vegetation cover in remote sensing datasets. Many deep learning-based methods have been widely applied for semantic segmentation tasks in remote sensing images of vegetated environments. However, most existing models are pixel-based, which introduces challenges such as high time consumption, cumbersome implementation, and limited scalability. This paper presents the SAGRNet model, a Graph Convolutional Neural Network (GCN) that incorporates sampling aggregation and self-attention mechanisms, while leveraging the ResNet residual network structure. A key innovation of SAGRNet is its ability to fuse features extracted through diverse algorithms, enabling comprehensive representation and enhanced classification performance. The SAGRNet model demonstrates superior performance over leading pixel-based neural networks, such as U-Net++ and DeepLabV3, in terms of both time efficiency and accuracy in vegetation image classification tasks. We achieved an overall mapping accuracy of ~90 % using SAGRNet, compared to ~87% and ~85% from U-Net++ and DeepLabV3, respectively. Additionally, it offers more convenience in data processing. Furthermore, the model significantly outperforms cutting-edge graph-based convolutional networks, including Graph U-Net (achieved overall accuracy ~65%) and TGNN (achieved overall accuracy ~75%), showcasing exceptional generalization capability and classification accuracy. This paper provides a comprehensive analysis of the various processing aspects of this object-based GCN for vegetation mapping and emphasizes its significant potential for practical use. The model’s versatility can also be expanded to other image processing domains, offering unprecedented possibilities of information extraction from satellite imagery

2025-09-01T00:00:00Z Pomar-Portillo, Vicenç Suarez-Merino, Blanca Aparicio Martínez, Santiago Badetti, Elena Boyles, Mathew Brunelli, Andrea Fito-López, Carlos Garmendia-Aguirre, Irantzu Giubilato, Elisa Katsumiti, Alberto Laurini, Erik Lofty, Morgan Marson, Domenico Pizzol, Lisa Rodríguez-Llopis, Isabel Rumbo Lorenzo, Carlos Scott-Fordsmand, Janeck J. Stone, Vicki Trabucco, Sara Hristozov, Danail Nowack, Bernd https://hdl.handle.net/10259/11718 2026-05-26T07:33:00Z 2025-11-01T00:00:00Z

Methods and tools for the safety assessment part of the European Commission’s safe and sustainable by design framework when applied to advanced materials Pomar-Portillo, Vicenç; Suarez-Merino, Blanca; Aparicio Martínez, Santiago; Badetti, Elena; Boyles, Mathew; Brunelli, Andrea; Fito-López, Carlos; Garmendia-Aguirre, Irantzu; Giubilato, Elisa; Katsumiti, Alberto; Laurini, Erik; Lofty, Morgan; Marson, Domenico; Pizzol, Lisa; Rodríguez-Llopis, Isabel; Rumbo Lorenzo, Carlos; Scott-Fordsmand, Janeck J.; Stone, Vicki; Trabucco, Sara; Hristozov, Danail; Nowack, Bernd The Safe and Sustainable-by-Design (SSbD) framework by the EC-JRC (European Commission – Joint Research Centre) provides a structured approach to integrate safety and sustainability considerations from the earliest stages of chemical and material innovation. However, applying SSbD principles to advanced materials poses specific challenges due to their complex and diverse physicochemical properties. This work analyzes and maps hazard, exposure, fate and risk assessment methods and tools applicable to Steps 1, 2 and 3 of the EC-JRC SSbD framework, categorizing them across its three tiers to address different stages of product development. The analysis highlights the challenges of adapting conventional testing and modelling approaches to advanced materials, particularly for hazard assessment, and considers the relevance and limitations of tools originally developed for exposure and risk assessment of engineered nanomaterials when applied to broader advanced materials categories. An assessment of operational status, access conditions, and tool formats provides practical insights for researchers and industry stakeholders. The study identifies key methodological gaps and offers recommendations to improve and expand the current tool landscape. By providing a structured mapping of available resources and challenges, this work supports the effective implementation of SSbD principles, promoting the safe and sustainable development of advanced materials

2025-11-01T00:00:00Z Rozas Azcona, Sara Aguilar Cuesta, Nuria Marcos Villa, Pedro A. Bol Arreba, Alfredo Aparicio Martínez, Santiago https://hdl.handle.net/10259/11717 2026-05-26T06:47:24Z 2026-01-01T00:00:00Z

Molecular layering and CO₂ selectivity in graphene-supported natural deep eutectic solvent films: An in-silico investigation Rozas Azcona, Sara; Aguilar Cuesta, Nuria; Marcos Villa, Pedro A.; Bol Arreba, Alfredo; Aparicio Martínez, Santiago A multiscale computational study was conducted to investigate graphene-supported thin films composed of a natural deep eutectic solvent (NADES) formed by menthol and decanoic acid (MENTH:DA), with a focus on applications in sustainable CO₂ capture. Density functional theory (DFT) and molecular dynamics (MD) simulations were employed to elucidate interfacial structuring, molecular interactions, and gas adsorption behavior. DFT results indicated a strong interaction between decanoic acid and the graphene surface (− 35.88 kJ/mol), characterized by a parallel orientation that maximizes van der Waals interactions. In contrast, menthol displayed weaker adsorption energies (− 5.15 kJ/mol) and a predominantly perpendicular orientation. MD simulations revealed the formation of distinct adsorption layers, with decanoic acid enriched in the first layer and menthol in the second, while the NADES hydrogen-bonding network remained largely intact. CO₂ exhibited preferential adsorption over flue gas components (N₂, H₂O, O₂), with substantial accumulation in both the first and second interfacial layers. Approximately 50% of the CO₂ content from flue gas mixtures was retained within the structured region. Adsorption performance was found to be largely independent of temperature (303− 323K) and NADES film thickness (20–50 Å). These results provide fundamental insight into NADES–graphene interactions and highlight the potential of type V, naturally derived deep eutectic solvents as selective and environmentally benign materials for CO₂ separation technologie

2026-01-01T00:00:00Z Escobedo-Monge, Marlene Fabiola Barrado, Enrique Parodi-Román, Joaquín Escobedo Monge, María Antonieta Torres-Hinojal, María Marugán Miguelsanz, José Manuel https://hdl.handle.net/10259/11462 2026-03-03T01:05:52Z 2021-10-01T00:00:00Z

Copper and Copper/Zn Ratio in a Series of Children with Chronic Diseases: A Cross-Sectional Study Escobedo-Monge, Marlene Fabiola; Barrado, Enrique; Parodi-Román, Joaquín; Escobedo Monge, María Antonieta; Torres-Hinojal, María; Marugán Miguelsanz, José Manuel Copper is an essential micronutrient for humans. A cross-sectional and comparative study was done to assess serum Cu levels and serum copper/zinc (Cu/Zn) ratio and its association with nutritional indicators in a series of children and adolescents with chronic diseases. Anthropometric, biochemical, dietary, body composition, and bone densitometry assessments were carried out. Serum Cu and Zn were measured by atomic absorption spectrophotometry. Seventy-eight patients (55% women) participated. The mean serum Cu in the entire series and by nutritional status through body mass index (BMI) was normal. Serum Cu decreased significantly with age and was meaningfully higher in children than in adolescents. The risk of finding altered Cu levels in children and men was higher than in adolescents and women, respectively. Twenty-two per cent of patients had abnormal serum copper levels, 13 had hypercupremia, and four had hypocupremia. The Cu/Zn ratio was greater than 1.00 for 87% of the patients, which is an indicator of an inflammatory state. All patients with hypozincemia and hypocupremia had deficient Zn intake, but only 65% of the patients with hypercupremia had dietary Zn deficiency. Consequently, the Cu/Zn ratio could indicate an inflammatory state and a high risk of zinc deficiency in this specific child population.

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