Examinando por Autor "Quesada Granja, Carlos"
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Ítem Climate change from B to Z: a cross-generational perception study in Spain(Frontiers Media SA, 2025) Divasson Jaureguibarria, Asier; Aguayo Mendoza, Armando; Quesada Granja, Carlos; Casado Mansilla, Diego; Borges Hernández, Cruz E.In the context of increasing climate concerns, this study explores generational perceptions and responses to potential climate-induced crises through a workshop and survey methodology. The aim of this study is to understand how different age groups view and react to extreme climate scenarios and evaluate their proposed actions and attitudes toward climate change mitigation. This study investigates generational perceptions and responses to climate change through a dual-format workshop and survey, conducted both in person and online. The methodological approach involved presenting respondents with a range of apocalyptic scenarios resulting from climate change, including electricity shortages, reduced food production, fuel scarcity, inadequate home heating, drought, and raw material shortages. These scenarios aimed to assess respondents’ awareness, concern, and proposed actions in response to potential future crises. The survey, administered via the Prolific platform, and workshops, held at the “Zientzia Azoka” science fair and online, gathered data from 153 participants across four generational cohorts, namely, Baby Boomers, Generation X (Gen X), Millennials, and Generation Z (Gen Z). The analysis revealed distinct generational differences in attitudes toward societal responsibility and action. Baby Boomers emphasized community responsibility over formal regulations, showing a preference for moral and ethical accountability rather than legislative action. Generation X displayed balanced responses, with tendencies toward valuing education and long-term stability. Millennials were more likely to emphasize the role of authorities and formal governance in addressing societal issues, reflecting their reliance on structured systems. In contrast, Generation Z showed a strong inclination to hold companies accountable, often associating responsibility with corporate entities, and were more vocal about behavioral changes and restrictions to drive progress. The study underscores significant generational differences in climate change perceptions and actions, highlighting a trend toward increasing demand for climate action and growing distrust in institutions. These insights suggest the need for inclusive, generationally tailored climate policies with a focus on education and systemic change. Future research should explore the relationship between sustainable consumption and economic vulnerability, addressing how financial constraints impact individuals’ ability to adopt sustainable practicesÍtem Cross-generational perceptions on climate change: resolutive insights from youth and elder(Universidad del País Vasco = Euskal Herriko Unibertsitatea, 2024) Divasson Jaureguibarria, Asier; Quesada Granja, Carlos; Casado Mansilla, Diego; Cubillo Eguizabal, Iker; Aguayo Mendoza, Armando; Borges Hernández, Cruz E.In a world increasingly dominated by conversations about climate change, this research delves deeper, exploring the disconnect between widespread awareness and the implementation of concrete actions to mitigate global warming and adapt to the energy transition. The study investigates this gap by focusing on the concerns of two distinct demographic groups: teenagers and adults. Conceived during the Zientzia Azoka event and developed through other events and sessions, the project actively engaged over 131 participants in a series of workshops. These participants spanned various age groups: 16 individuals under the age of 18, 110 adults between 18 and 65 years old, and 5 adults over 65 years old. The workshops employed qualitative methods, presenting participants with a range of potential climate crisis scenarios encompassing environmental challenges, energy shortages, and mobility restrictions. These scenarios explored situations such as insufficient renewable energy development leading to electricity shortages, extreme weather events causing food scarcity, and disruptions to travel due to fuel shortages. Participants’ responses to these scenarios were then subjected to a process of semi-quantification, enabling a more nuanced analysis of their concerns. The analysis revealed not only a clear awareness of these impending challenges among both teenagers and adults, but also a recognition of the substantial barriers hindering proactive solutions. These barriers encompassed economic constraints, a perceived lack of general awareness about the gravity of the situation, and the ever-evolving social landscape shaped by recent global events like the COVID-19 pandemic and the war in Ukraine. However, amidst these anxieties, a glimmer of hope emerged. Participants identified a potential shift in societal behavior, possibly driven by these very crises. Thematic analysis of their responses revealed a strong emphasis on the crucial role of sufficiency in mitigating climate change. This highlights the importance of reducing consumption and waste rather than solely relying on technological advancements as the solution. Additionally, peer influence was recognized as a significant force in shaping attitudes and behaviors, suggesting a powerful avenue for promoting positive change. The political dimension of climate action also came into sharp focus. Participants demonstrated a sophisticated understanding of the complexities surrounding political processes and the challenges they present. They emphasized the need for clear and effective communication from political leaders, while acknowledging concerns about political motivations and the influence of special interest groups. This underscores the intricate relationship between politics, media, and public perception, highlighting the need for a multi-faceted approach to climate communication.Ítem An electricity smart meter dataset of Spanish households: insights into consumption patterns(Nature Research, 2024-12) Quesada Granja, Carlos; Astigarraga, Leire; Merveille, Chris; Borges Hernández, Cruz E.Smart meters are devices that provide detailed information about the energy consumed by specific electricity supply points, such as homes, offices, and businesses. Data from smart meters are useful for modeling energy systems, predicting electricity consumption, and understanding human behavior. We present the first smart meter dataset from Spanish electricity supply points, expanding the geographic diversity of available data on energy consumption at the household level and reducing biases in existing data, which typically come from a limited number of countries. The dataset consists of 25,559 raw hourly time series with an average length of nearly three years, spanning from November 2014 to June 2022. It also includes three subsets obtained by segmenting and cleaning the raw time series data, each focusing on the periods before, during, and after the COVID-19 lockdowns in Spain. This dataset is a valuable resource for studying electricity consumption patterns and behaviors that emerge in response to different natural experiments, such as nationwide and regional lockdowns, nighttime curfews, and changes in electricity pricing.Ítem Is a massive deployment of renewable-based low voltage direct current microgrids feasible?: converters, protections, controllers, and social approach(Elsevier Ltd, 2022) Castillo Calzadilla, Tony; Cuesta, M. A.; Quesada Granja, Carlos; Olivares-Rodríguez, Cristian; Macarulla, Ana María; Legarda Macon, Jon; Borges Hernández, Cruz E.The main objective pursued by this survey is to debate the feasibility of a new distribution system in low voltage direct current (LVDC) microgrids and its impact on social development. To this end, this study provides valuable information for renewable energy planners and researchers, giving insights or solutions to reduce the transition gap between the current energy network and the future DC energy microgrids. Mainly, this article is divided into interlinking converters, protection schemes, and control systems, which have been analyzed taking into account the technical aspects of an LVDC microgrid as well as the social impact they have in poverty areas. This survey studies how low voltage DC networks can produce social welfare. In short, this paper assess social implications and technical issues, such as low inertia, grounding issues, voltage regulations, arc apparition, etc., providing a different approach to overcome these issues.Ítem A multi-parametric model for progression of metabolic dysfunction-associated steatohepatitis (MASH) in humans(IEEE, 2024) Baek, Jihye; Sanabria, Sergio; Oyarzabal, Ignacio; Echevarría Uraga, José Javier; Quesada Granja, Carlos; Dahl, Jeremy; Parker, Kevin J.Multiparametric analysis of quantitative ultrasound parameters was previously shown to improve assessment of metabolic dysfunction-associated fatty liver diseases (MAFLD). In this study, we aim to develop a multiparametric model for metabolic dysfunction-associated steatohepatitis (MASH), which contains more complex disease progression as an advanced version of MAFLD.We extracted quantitative ultrasound parameters, including H-scan frequency, Burr distribution λ and b, B-mode intensity, and shear wave speed (SWS). The parameters were categorized and displayed in multiparametric space. Support vector machine (SVM) was used to produce hyperplanes to differentiate MASH stages. Gaussian mixture model (GMM) was used to identify the centroids of the MASH stages. The centroids of MASH stages 0, 2, and 4 were then used to find early and late stage MASH progression vectors.To evaluate the multiparametric model, we performed an in vivo human study. 39 patients were enrolled and unterwent clinical tests, such as biopsy, blood biochemistry, metabolomics test (OWLiver), and ultrasound B-mode and shear wave elastography (SWE). A clinician confirmed MASH stages based on the clinical test results (M0: no disease; M1: steatosis; M2: steatohepatitis; M3: steatohepatitis with fibrosis; M4: steatohepatitis with cirrhosis).Complex disease progression was not well characterized by individual parameters, but the multiparametric model captured the trajectory of MASH progression. SVM classification resulted in 87.0% and 76.8% accuracy for training and testing, respectively. SVM and GMM produced a consistent trajectory in the multiparametric space. In conclusion, our multiparametric model was able to track nonlinear MASH progression trajectory accurately.Ítem Surgery simulators based on model-order reduction(Elsevier Science Ltd., 2023) Quesada Granja, Carlos; Badías, Alberto; González, David; Alfaro, Icíar; Chinesta, Francisco; Cueto, ElíasThe development of realistic, credible surgery simulators for surgery planning and training is not an easy task. This is due, on the one hand, to the extremely complex physics involved: large deformations of complex living tissues, cutting and tearing and contact, among others. On the other hand, a simulators requires a very fast feedback rate: some 60 Hz if we expect visual feedback, but some 500–1000 Hz if we plan to add the simulator with haptic feedback. These very stringent requirements make it difficult to combine both ingredients, accuracy and realism, with fast responses. This is why model-order reduction has opened a new avenue for the development of such simulators. Reduced-order models allow for extremely fast feedback rates without compromising accuracy; error can be controlled by means of error estimators and so can the feedback rate, by choosing judiciously the number of degrees of freedom of the model. Among all the available reduced-order modeling techniques, we focus here on the proper generalized decomposition, a technique that has shown great promise in the field.