https://hdl.handle.net/10259/5086 2026-09-09T12:42:15Z 2026-09-09T12:42:15Z García Alonso, Elena Ubillos Landa, Silvia Crespo Herrero, Guillermo Teso Martín, Beatriz https://hdl.handle.net/10259/12059 2026-09-09T12:15:40Z 2026-08-01T00:00:00Z

Supplementary tables for "Fighting Spirit, Coping Pathways and Emotional Distress Across Metastatic Status" García Alonso, Elena; Ubillos Landa, Silvia; Crespo Herrero, Guillermo; Teso Martín, Beatriz This repository record contains supplementary statistical tables associated with a cross-sectional study of 360 adults with cancer. The study examined theory-informed conditional direct and indirect associations between fighting spirit and emotional distress through four selected coping responses - active coping, planning, positive reframing, and acceptance - conditional on metastatic status. The supplementary material reports the complete regression coefficients for the mediator and outcome models and sensitivity analyses using anxiety and depression as separate outcomes. Only aggregate statistical results are included; no participant-level data are deposited.

2026-08-01T00:00:00Z Al Bodour, Ahmad Gutiérrez Vega, Alberto Alomari, Noor Aparicio Martínez, Santiago Atilhan, Mert https://hdl.handle.net/10259/12058 2026-09-09T12:41:11Z 2024-09-01T00:00:00Z

Exploring the thermophysical properties of natural deep eutectic solvents for gas capture applications: a comprehensive review Al Bodour, Ahmad; Gutiérrez Vega, Alberto; Alomari, Noor; Aparicio Martínez, Santiago; Atilhan, Mert With the intensifying challenge of global warming driven largely by anthropogenic activities, effective greenhouse gas capture techniques are critical. This paper focuses on the role of deep eutectic solvents (DES) as promising agents for such capture at the source. We review the key DES-based methods for greenhouse gas capture, drawing conclusions from a thorough analysis of the existing literature. In particular, we examine the effect of DES structure on gas solubilities and explore the mechanism of gas solubility in DES through molecular simulation. We present a synthesis of state-of-the-art results in this area, assessing the potential of DES as an alternative to current industrial gas capture methods. Furthermore, we propose future research directions for the design of novel DES tailored to more specific applications.

2024-09-01T00:00:00Z Pham, Dung T. Tran, Duy X. Tran, Thuong V. Latorre Carmona, Pedro Bruce, David Zhu, Xuan https://hdl.handle.net/10259/12057 2026-09-09T12:28:19Z 2026-08-01T00:00:00Z

Dilated residual U-Net with spatial–channel attention for building footprint extraction from UAV imagery in diverse landscapes Pham, Dung T.; Tran, Duy X.; Tran, Thuong V.; Latorre Carmona, Pedro; Bruce, David; Zhu, Xuan Accurate extraction of building footprints from unmanned aerial vehicle (UAV) imagery is essential for urban planning, infrastructure monitoring, and disaster risk management. However, segmentation performance remains challenged by scale variability, spectral ambiguity, and partial occlusion in heterogeneous environments. Here, we examine the integration of dilated convolution, residual learning, and spatial–channel attention within a unified U-Net framework for building footprint extraction. Rather than introducing new architectural components, the proposed approach investigates how these established mechanisms influence segmentation behaviour across diverse landscape conditions. Multi-rate dilated convolution is incorporated in the bottleneck stage; residual connections support stable feature propagation, and attention modules enhance feature discrimination. The model was evaluated on the WHU Building Dataset and a newly developed UAV dataset (HUMG) representing diverse environmental conditions in Vietnam. Results showed improved segmentation performance relative to U-Net, Feature Pyramid Network, and SegFormer, particularly in dense urban, rural, and vegetation-occluded environments. Although the proposed model incurs higher computational costs, the additional complexity reflects both increased model capacity and integrated architectural design. The findings demonstrate that systematic adaptation of established mechanisms can enhance building segmentation robustness in high-resolution UAV imagery for offline geospatial applications.

2026-08-01T00:00:00Z Gutiérrez Vega, Alberto Aparicio Martínez, Santiago Pekarovicova, Alexandra Wu, Qingliu Atilhan, Mert https://hdl.handle.net/10259/12052 2026-09-09T00:05:36Z 2023-07-01T00:00:00Z

Molecular dynamics study on the interfacial properties of mixtures of monomers of polyvinylpyrrolidone (PVP)-based battery binders on graphene and graphite surfaces Gutiérrez Vega, Alberto; Aparicio Martínez, Santiago; Pekarovicova, Alexandra; Wu, Qingliu; Atilhan, Mert This study investigates the behavior of two different mixtures of monomers of polyvinylpyrrolidone (PVP)-based battery binders, polyvinylpyrrolidone:polyvinylidene difluoride (PVP:PVDF) and polyvinylpyrrolidone:polyacrylic acid (PVP:PAA), at graphene and graphite interfaces using classical molecular dynamics simulations. The aim is to identify the best performing monomer binder blend and carbon-based material for the design of battery-optimized energy devices. The PVP:PAA monomer binder blend and graphite are found to have the best interaction energies, densification upon adsorption, and more ordered structure. The adsorption of both monomer binder blends is strongly guided by the higher affinity of PVP and PAA monomeric molecules for the surfaces compared to PVDF. The structure of adsorbed layers of PVP:PVDF monomer binder blend on graphene and graphite develops more quickly than PVP:PAA, indicating faster kinetics. This study complements a previous density functional theory study recently reported by our group and contributes to a better understanding of the nanoscopic features of relevant interfacial regions involving mixtures of monomers of PVP-based battery binders and different carbon-based materials. The effect of a blend of commonly used monomer binders on carbon-based materials is essential for obtaining tightly bound anode and cathode active materials in lithium-ion batteries, which is crucial for designing battery-optimized energy devices.

2023-07-01T00:00:00Z