Artículos

URI permanente para esta colección

https://hdl.handle.net/20.500.14454/1634

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Mostrando 1 - 7 de 7

Climate adaptation in urban space: the need for a transdisciplinary approach
(Frontiers Media SA, 2025-03-25) Lenzi, Sara; Sádaba Fernández, Juan Antonio; Retegi Uria, Aiur
Climate change demands innovative and holistic approaches to urban design that address both the tangible and intangible challenges posed by a rapidly evolving environment. This article explores the necessity of a transdisciplinary approach to climate adaptation in urban spaces, emphasizing the integration of architecture, social innovation, more-than-human design, and multisensory analysis. We examine the current approaches and controversies of architectural and urban solutions to climate adaptation. Drawing on the state-of-the-art from key fields, we discuss the potential of Nature-based Solutions, co-creation practices, and multimodal design to create adaptive urban spaces that address the physical, emotional, and social needs of human and more-than-human inhabitants. The article reviews emerging frameworks and case studies, including climate shelters, biodiversity-inclusive design, and the integration of soundscapes and smellscapes, to demonstrate the importance of considering diverse perspectives and stakeholders. By synthesizing these findings, we propose an integrated design framework for climate adaptation that moves beyond traditional architectural approaches by overlapping intangible layers of social awareness, ecological diversity, and cultural sensitivity
Combined coracohumeral and coracoacromial ligament release for refractory frozen shoulder: a comparative cohort study
(Oxford University Press, 2025-07-02) Wahezi, Sayed E.; Mehta, Nimesha; Naeimi, Tahereh; Yener, Ugur; Ciftci, Hatice Begum; Rodríguez Maruri, Guillermo Emilio
This study evaluates the efficacy of 2 minimally invasiveprocedures—coracohumeral ligament (CHL) percutaneousrelease and coracohumeral ligament release (CHLR) combined with coracoacromial ligament release (CACLR)—inimproving shoulder mobility in patients diagnosed with adhesive capsulitis. The primary outcomes measured were therange of motion in external rotation and abduction pre- andpost-procedure. Statistical analyses, including paired andindependent t-tests, were employed to assess within-groupimprovements and between-group differences. The findingssuggest that both procedures significantly enhance shouldermobility, with the combined CHLR and CACLR approachdemonstrating superior improvements in abduction.
Egocentric vision-based action recognition: a survey
(Elsevier B.V., 2022-02) Núñez Marcos, Adrián ; Azkune Galparsoro, Gorka ; Arganda-Carreras, Ignacio
The egocentric action recognition EAR field has recently increased its popularity due to the affordable and lightweight wearable cameras available nowadays such as GoPro and similars. Therefore, the amount of egocentric data generated has increased, triggering the interest in the understanding of egocentric videos. More specifically, the recognition of actions in egocentric videos has gained popularity due to the challenge that it poses: the wild movement of the camera and the lack of context make it hard to recognise actions with a performance similar to that of third-person vision solutions. This has ignited the research interest on the field and, nowadays, many public datasets and competitions can be found in both the machine learning and the computer vision communities. In this survey, we aim to analyse the literature on egocentric vision methods and algorithms. For that, we propose a taxonomy to divide the literature into various categories with subcategories, contributing a more fine-grained classification of the available methods. We also provide a review of the zero-shot approaches used by the EAR community, a methodology that could help to transfer EAR algorithms to real-world applications. Finally, we summarise the datasets used by researchers in the literature.
The impact of Covid-19 media coverage on tourist's awareness for future travelling
(Routledge, 2022) Chemli, Samiha ; Toanoglou, Michail ; Valeri, Marco
This research investigates the influence of Media Coverage and the perceived risks related to travel and tourism by the pandemic's time on the odds of potential outbound tourists’ level of awareness. The data of 1845 individuals nested from more than 12 countries and 4 continents representing quarantined and most impacted areas in the world during the crisis phase. A multilevel model with a categorical dichotomous outcome was applied. The findings confirm that media have preeminent control on accentuating potential travellers’ awareness during a crisis as the primary source of information. Besides, the physical perceived risk influences the likelihood to fall in the group of aware individuals. The research gives insights and evidence to practitioners of the tourism industry in destinations to plan and organize better with governmental authorities and provide ethical, responsible, and accurate information about the real situation and the health system's responses through their communication and information efforts during the recovery phase.
Making dispersed data a visual event
(Frontiers Media S.A., 2023-02-02) Gutiérrez Almazor, Miren
Managing the unknown in machine learning: definitions, related areas, recent advances, and prospects
(Elsevier B.V., 2024-06-14) Barcina Blanco, Marcos; López Lobo, Jesús; García Bringas, Pablo; Ser Lorente, Javier del
In the rapidly evolving domain of machine learning, the ability to adapt to unforeseen circumstances and novel data types is of paramount importance. The deployment of Artificial Intelligence is progressively aimed at more realistic and open scenarios where data, tasks, and conditions are variable and not fully predetermined, and therefore where a closed set assumption cannot be hold. In such evolving environments, machine learning is asked to be autonomous, continuous, and adaptive, requiring effective management of uncertainty and the unknown to fulfill expectations. In response, there is a vigorous effort to develop a new generation of models, which are characterized by enhanced autonomy and a broad capacity to generalize, enabling them to perform effectively across a wide range of tasks. The field of machine learning in open set environments poses many challenges and also brings together different paradigms, some traditional but others emerging, where the overlapping and confusion between them makes it difficult to distinguish them or give them the necessary relevance. This work delves into the frontiers of methodologies that thrive in these open set environments, by identifying common practices, limitations, and connections between the paradigms Open-Ended Learning, Open-World Learning, Open Set Recognition, and other related areas such as Continual Learning, Out-of-Distribution detection, Novelty Detection, and Active Learning. We seek to easy the understanding of these fields and their common roots, uncover open problems and suggest several research directions that may motivate and articulate future efforts towards more robust and autonomous systems.
The Warburg hypothesis and the emergence of the mitochondrial metabolic theory of cancer
(Springer, 2025-04-08) Seyfried, Thomas N.; Lee, Derek C.; Duraj, Tomás; Ta, Nathan L.; Mukherjee, Purna; Kiebish, Michael; Arismendi Morillo, Gabriel J.; Chinopoulos, Christos
Otto Warburg originally proposed that cancer arose from a two-step process. The first step involved a chronic insufficiency of mitochondrial oxidative phosphorylation (OxPhos), while the second step involved a protracted compensatory energy synthesis through lactic acid fermentation. His extensive findings showed that oxygen consumption was lower while lactate production was higher in cancerous tissues than in non-cancerous tissues. Warburg considered both oxygen consumption and extracellular lactate as accurate markers for ATP production through OxPhos and glycolysis, respectively. Warburg’s hypothesis was challenged from findings showing that oxygen consumption remained high in some cancer cells despite the elevated production of lactate suggesting that OxPhos was largely unimpaired. New information indicates that neither oxygen consumption nor lactate production are accurate surrogates for quantification of ATP production in cancer cells. Warburg also did not know that a significant amount of ATP could come from glutamine-driven mitochondrial substrate level phosphorylation in the glutaminolysis pathway with succinate produced as end product, thus confounding the linkage of oxygen consumption to the origin of ATP production within mitochondria. Moreover, new information shows that cytoplasmic lipid droplets and elevated aerobic lactic acid fermentation are both biomarkers for OxPhos insufficiency. Warburg’s original hypothesis can now be linked to a more complete understanding of how OxPhos insufficiency underlies dysregulated cancer cell growth. These findings can also address several questionable assumptions regarding the origin of cancer thus allowing the field to advance with more effective therapeutic strategies for a less toxic metabolic management and prevention of cancer.

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