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    Peregrinant en la memòria: estudi del canvi de traçat del Camino Primitivo al llarg del temps i el posterior deteriorament dels edificis religiosos

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    Avui en dia, el conjunt de Caminos de Santiago formen part del turisme d’Espanya. Un tipus de turisme de caràcter religiós catòlic que va iniciar el segle IX amb la primera peregrinació d’Alfons II, rei d’Oviedo, per anar a veure la tomba de l’apòstol Santiago, fent ús d’un camí que va d’Oviedo a Santiago de Compostela, com és el cas de l’actual Camino Primitivo. Aquest camí antic s’ha anat modificant al llarg dels anys a causa de l’aparició de carreteres i l’interès turístic de passar per alguns pobles en concret obtenint l’actual Camino Primitivo. Malgrat això, el Camino Primitivo no ha estat el més important entre els Caminos de Santiago, el camí que va tenir més importància des del seu origen al segle XII va ser el Camino Francés degut a la connectivitat amb França i la resta d’Europa. Per aquest motiu el treball se centra en el Camino Primitivo, un camí que va caure en l’oblit on hi ha edificis completament abandonats que es degraden amb el pas del temps, ja convertits en ruïnes. En l’anàlisi a través de la comparació entre la traça del camí actual amb l’antic i la valoració dels edificis en l’estat actual amb la finalitat d’una possible posterior restauració.Award-winnin

    A comparison of radio frequency and microwave heating methods for enhancing the removal and biotransformation of endocrine-disrupting triclocarban during advanced anaerobic digestion

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    Anaerobic digestion (AD) has very limited effectiveness against the removal of many emerging contaminants, including the pervasive antimicrobial triclocarban (TCC). This is the first study to compare two thermal pretreatment methods to evaluate the fate of persistent TCC and its transformation/degradation by-products during advanced AD. Two electromagnetic heating methods are employed: one uses an innovative radio frequency (RF) heating system at 13.56 MHz, while the other uses microwave (MW) heating at 2450 MHz. The biodegradation was assessed by biochemical methane potential (BMP) assays utilizing spiked secondary sludge. Overall, advanced digestion processes, combined with RF and MW pretreatments, were highly effective in increasing TCC elimination (up to 65 %) from digested sludge after 60 days of incubation, compared to conventional digestion (without pretreatment), which achieved only up to 20 % elimination. The contribution of RF and MW pretreatments to the total TCC removal efficiencies of the overall advanced digestion process was 26 ± 1 % and 22 ± 1 %, respectively. After pretreatment, during thermophilic anaerobic digestion, 34 ± 3 % and 30 ± 2 % additional TCC removals were achieved from the RF- and MW-pretreated samples, respectively. Significantly higher TCC removal and biotransformation occurred in advanced BMPs incubated at thermophilic temperatures compared to mesophilic temperatures. The chlorinated TCC was converted to less toxic carbanilide during digestion, reducing the environmental risk of TCC through the dechlorination mechanism. Considering the feasibility of RF and MW heating systems at full scale, the RF heating technology combined with anaerobic sludge digestion can be preferred to manage the municipal sludge contaminated with antimicrobials.This project received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 843320 - RADIOFREPOLIS. The authors thank the Canada Foundation for Innovation and The Natural Sciences and Engineering Research Council for essential support for Micropollutant Detection and Anaerobic Digestion Facilities at UBC's Okanagan Campus. The authors express their gratitude to Aaron Clements from the UBC Electrical Engineering Department for his assistance in performing the RF sludge heating experiments and Dr. Jake Bobowski from the UBC Faculty of Science/Physics for his contributions to RF heating experimental design.Peer ReviewedPostprint (published version

    Confidencialitat

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    Diseño de un parque fotovoltaico de 4,6 MW e impacto en la red de distribución de la compañía eléctrica Anell

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    Environmental, economic, and social impacts of methane cracking for hydrogen production: a comprehensive review

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    Methane cracking (MC) is emerging as a low-carbon hydrogen production technology. This review conducts a comprehensive bibliometric analysis of 46 studies examining the sustainability of MC process. The review employs Life Cycle Assessment (LCA), Life Cycle Cost (LCC), Techno-Economic Analysis (TEA), and Social Life Cycle Assessment (SLCA) methodologies. The findings reveal that LCOH for MC technologies ranges from 0.9 to 6.6 $/kg H2, at the same time, GHG emissions span 0.8–14.5 kg CO2eq/kg H2, depending on the specific reactor configurations, plant geographical locations, and carbon revenues. These results indicate that MC can be competitive with steam methane reforming with carbon capture and electrolysis under certain conditions. However, the review identifies significant research gaps, including limited comprehensive LCA studies, a lack of social impact assessments, insufficient environmental impact analysis of molten media catalysts and particulate matter formation in MC processes, as well as insufficient analysis of the potential of biomethane cracking.The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: This work was supported by the European Union’s Research and Innovation project ColdSpark under Grant agreement No. 101069931.Peer ReviewedPostprint (published version

    ECONOMIA I EMPRESA (Examen, 1er quadrimestre)

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    Examen finalResolved2023/20241r quadrimestr

    Towards studying the effect of compiler optimizations and software randomization on GPU reliability

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    The evolution of Graphics Processing Unit (GPU) compilers has facilitated the support for general-purpose programming languages across various architectures. The NVIDIA CUDA Compiler (NVCC) employs multiple compilation levels prior to generating machine code, implementing intricate optimizations to enhance performance. These optimizations influence the manner in which software is mapped to the underlying hardware, which can also impact GPU reliability. TASA is a source-to-source code randomization tool designed to alter the mapping of software onto the underlying hardware. It achieves this by generating random permutations of variable and function declarations, thereby introducing random padding between declarations of different types and modifying the program memory layout. Since this modifies their location in the memory, it also modifies their cache placement, affecting both their execution time (due to the different conflicts between them, which result in a different amount of cache misses in every execution), as well as their lifetime in the cache. In this work, which is part of the HiPEAC Student Challenge 2025, we first examine the reproducibility of a subset of data presented in the ACM TACO paper "Assessing the Impact of Compiler Optimizations on GPU Reliability" [Santos et al., 2024], and second we extend it by combining it with our proposal of software randomization. The paper indicates that the -O3 optimization flag facilitates an increased workload before failures occur within the application. By employing TASA, we investigate the impact of GPU randomization on reliability and performance metrics. By reproducing the results of the paper on a different GPU platform, we observe the same trend as reported in the original publication. Moreover, our preliminary results with the application of software randomization show in several cases an improved Mean Waiting Before Failure (MWBF) compared to the original source code.This work was supported by the ESA funded project “Open Source Software Randomisation Framework for Probabilistic WCET Prediction and Security on (multicore) CPUs, GPUs and Accelerators” as well as European Commission’s METASAT Horizon Europe project (grant agreement 101082622). Moreover, it was also partially supported by the Spanish Ministry of Economy and Competitiveness (MINECO) under the grant IJC2020-045931-I.Peer ReviewedPostprint (published version

    Multimodal large language models for zero-shot real-world classification tasks: benchmark, taxonomy of prompting methods, and application to human-object interaction recognition and detection

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    Multimodal Large Language Models (MLLMs) excel as zero-shot reasoners across diverse domains. However, their application to real-world classification tasks, particularly in direct comparison with specialized models, remains underexplored. This work explores how MLLMs can be leveraged for zero-shot Human-Object Interaction (HOI) recognition and detection using token probability outputs. We first benchmark lightweight MLLMs, identifying Qwen2-VL and MiniCPM-V as the most effective families for HOI. We perform a comprehensive comparison of zero-shot strategies applicable to this task. A taxonomy of zero-shot approaches is proposed, integrating textual and visual prompting strategies. Our analysis over the HICO dataset reveals that Objects as Context boosts performance for multi-image-capable MLLMs, while ensembling text prompts enhances robustness. On the HICO-DET and V-COCO datasets, Objects as Context, Black Other Objects, and Blur the Background emerge as superior visual prompting methods for localization. Our approach achieves 53.50 mAP on HICO and 23.69 mAP on HICO-DET, outperforming prior zero-shot methods and being competitive with the current state-of-the-art supervised models. Our code is made publicly availabl

    Environmental impact in the learning of the architectural design

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    The immediate future will be characterized by the double environmental crisis that is already being felt in the present: the climate change and the depletion of natural resources, with their consequences in the population’s health. Schools of architecture in Spain do not seem to have incorporated these two variables into their curricula or have not done so systematically in the core of their training: the architectural design as opportunity to synthesize the knowledge and skills obtained in specialized subjects. Today, everything seems to indicate that decisions aimed at guaranteeing the well-being of the population in this context of environmental emergency will be hasty and improvised. A consequence of this possibility would be that the resilience of buildings and infrastructures would prevail over the cultural component of architecture. It is therefore necessary to propose strategies for the integrated design of buildings and public spaces that can be a viable alternative to urgent and fragmented measures. This article analyses a simple method of introducing these aspects into architectural project learning and its implementation, analysing the effect of simple quantitative approaches to environmental impact on design decisions.Objectius de Desenvolupament Sostenible::7 - Energia Assequible i No ContaminantObjectius de Desenvolupament Sostenible::11 - Ciutats i Comunitats SosteniblesObjectius de Desenvolupament Sostenible::4 - Educació de QualitatPostprint (published version

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