43569 research outputs found
Sort by
La Sintaxis en el cine inmersivo las posibilidades plásticas y expresivas del montaje en la Cinematic Virtual Reality
No full textLa Realidad Virtual Cinemática (Cinematic Virtual Reality, CVR) está emergiendo como un medio narrativo que combina elementos del cine, el teatro y los videojuegos, ofreciendo a los usuarios experiencias inmersivas de narración. Aunque comúnmente se denomina "cine inmersivo" debido a las características que comparte con el arte cinematográfico, la CVR aún se encuentra en una fase exploratoria, esforzándose por establecer un lenguaje propio que integre enfoques narrativos y estéticos diversos.
Esta investigación aplicada explora las conexiones entre la CVR y el lenguaje cinematográfico, con un enfoque particular en el montaje. A través de un análisis teórico combinado con la experimentación práctica, el estudio examina cómo las estructuras de montaje influyen en las dimensiones narrativa, estética y expresiva de la CVR. Para ello, se ha desarrollado un prototipo de CVR utilizando imágenes sintéticas, proporcionando un marco controlado para probar y demostrar el impacto de estas técnicas de montaje.Cinematic Virtual Reality (CVR) is emerging as a narrative medium that blends elements of cinema, theater, and video games, offering users immersive storytelling experiences. While commonly referred to as "immersive cinema" due to its shared characteristics with cinematic art, CVR is still in an exploratory phase, striving to establish a unique language that integrates diverse narrative and aesthetic approaches.
This applied research explores the connections between CVR and cinematic language, focusing particularly on editing. Through a combination of theoretical analysis and practical experimentation, the study examines how editing structures influence the narrative, aesthetic, and expressive dimensions of CVR. To achieve this, a CVR prototype using synthetic images was developed, providing a controlled framework to test and demonstrate the impact of these editing techniques.Programa de Doctorat en Comunicaci
Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
No full textIncludes supplementary materials for the online appendix.Depression is a multifactorial clinical syndrome with a low pharmacological treatment response rate. Therefore, identifying predictors of treatment response capable of providing the basis for future developments of individualized therapies is crucial. Here, we applied model-free and model-based measures of whole-brain turbulent dynamics in resting-state functional magnetic resonance imaging (fMRI) in healthy controls and unmedicated depressed patients. After eight weeks of treatment with selective serotonin reuptake inhibitors (SSRIs), patients were classified as responders and non-responders according to the Hamilton Depression Rating Scale 6 (HAMD6). Using the model-free approach, we found that compared to healthy controls and responder patients, non-responder patients presented disruption of the information transmission across spacetime scales. Furthermore, our results revealed that baseline turbulence level is positively correlated with beneficial pharmacological treatment outcomes. Importantly, our model-free approach enabled prediction of which patients would turn out to be non-responders. Finally, our model-based approach provides mechanistic evidence that non-responder patients are less sensitive to stimulation and, consequently, less prone to respond to treatment. Overall, we demonstrated that different levels of turbulent dynamics are suitable for predicting response to SSRIs treatment in depression.AE was supported by the project eBRAIN-Health—Actionable Multilevel Health Data (id 101058516), funded by EU Horizon Europe and by the Grant PID2022-136216NB-I00, funded by MICIU/AEI/10.13039/501100011033, and “ERDF A way of making Europe”, ERDF, EU. YSP was supported by the project NEurological MEchanismS of Injury, and the project Sleep-like cellular dynamics (NEMESIS) (ref. 101071900) funded by the EU ERC Synergy Horizon Europe. GD was supported by the project NEurological MEchanismS of Injury, and the project Sleep-like cellular dynamics (NEMESIS) (ref. 101071900) funded by the EU ERC Synergy Horizon Europe and and by the Grant PID2022-136216NB-I00, funded by MICIU/AEI/10.13039/501100011033, and “ERDF A way of making Europe”, ERDF, EU. MLK is supported by the Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117), and Center for Eudaimonia and Human Flourishing at Linacre College funded by the Pettit and Carlsberg Foundations. Data were acquired through the NeuroPharm project (www.neuropharm.eu), funded by grant 4108-00004B from the Innovation Fund Denmark, grant R279-2018-1145 from The Lundbeck Foundation Alliance BrainDrugs, the Research Fund of the Mental Health Services–Capital Region of Denmark, grant R149-A6325 from the Research Council of Rigshospitalet, grant 16-0058 from the AugustinusFoundation, grants from Savværksejer Jeppe Juhl og Hustru Ovita Juhls Mindelegat, and grantsDFF-6120-00038 and DFF-1057-00052B from the Independent Research Fund Denmark
Invited perspective: drinking water disinfection by-products and cancer-a historical perspective
No full textCan't stop scrolling! Adolescents' patterns of TikTok use and digital well-being self-perception
No full textDigital well-being, which refers to a balanced individual experience of digital consumption, has been gaining attention recently in the study of the effects of digital technology use. Social networks are central in debates over digital well-being, as social media overuse is often identified as a primary issue. Teenagers who spend an average of three hours daily on social media especially draw the attention of researchers. Based on statistical evidence, TikTok is the most popular network among young users worldwide. However, there are not many platform-specific studies on its effects on adolescent well-being. One of the most consistent gaps is the lack of research on how different aspects involved in TikTok use impact adolescents' digital well-being on the app. In light of this, the study aimed to explore the relationship between time spent on TikTok, content consumption, and self-perception of digital well-being. Given the scientific consensus on social media's greater impact on girls, this study also sought to examine gender differences. For that purpose, a quantitative cross-sectional study was conducted with 737 Spanish adolescents aged 12 to 18, who completed an online questionnaire with validated scales and items on daily usage time, type of content consumption, and digital well-being. Results showed significant gender differences in TikTok usage and content consumption: girls spent more time on TikTok and notably engaged more with beauty and fashion content, while boys with video games and sports content, suggesting that traditional gender roles are still present in their choices of content consumption. Beyond that, a rather positive self-perception of digital well-being on TikTok by teenagers was observed. Despite this, an increased TikTok usage was associated with a reduced ability to set boundaries and limit their time on the app. These findings highlight the need for measures to limit the time adolescents spend on TikTok, such as mandatory parental controls on electronic devices and educational programs aimed at promoting healthy digital habits.This article is a result of the research project ''Adolescent Receivers and Creators of Mental Health Content on Social Media. Discourse, incidence and Digital Literacy on Psychological Disorders and their Stigma (SMARS)'', corresponding to the 2022 Call for Knowledge Generation Projects, funded by the Spanish Ministry of Science, Innovation and Universities (reference: PID2022-141454OB-I00)
Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure
No full textArtificial intelligence (AI) is a powerful technology with the potential to disrupt cancer detection, diagnosis and treatment. However, the development of new AI algorithms requires access to large and complex real-world datasets. Although such datasets are constantly being generated, access to them is limited by data fragmentation across numerous repositories and sites, heterogeneity, lack of annotations, and potential privacy issues. The European Cancer Imaging Initiative is a flagship of Europe's Beating Cancer Plan, aiming to unlock the power of AI for cancer patients, clinicians, and researchers by establishing a federated European infrastructure for cancer images through the EU-funded EUropean Federation for CAncer IMages (EUCAIM) project. This infrastructure, called Cancer Image Europe, builds on the AI for Health Imaging network (AI4HI), established European Research Infrastructures (Euro-BioImaging, BBMRI-ERIC, EATRIS, ECRIN, and ELIXIR), and numerous related partners providing access to research tools, images, and related clinical, pathology and molecular data. The infrastructure targets clinicians, researchers, and innovators by providing the means to develop and validate data-intensive AI-based and other IT-enabled clinical decision-making systems supporting precision medicine. Common data models, including a linking hyperontology, quality standards, compliance with the FAIR (Findability, Accessibility, Interoperability and Reusability) principles, data annotation, curation and anonymization services are provided to ensure data quality and interoperability, consistency and privacy. In summer 2024, the EUCAIM project released the first prototype of an EU-wide infrastructure, with a comprehensive dashboard integrating applications for dataset discovery, federated search, data access request, metadata harvesting, annotation, secure processing environments and federated processing. CRITICAL RELEVANCE STATEMENT: EUCAIM's federated infrastructure for cancer image data advances medical research and related AI development in Europe. It addresses the current fragmentation and heterogeneity of data repositories is legally compliant, and facilitates collaboration among clinicians, researchers, and innovators. KEY POINTS: AI solutions to advance cancer care rely on large, high-quality real-world datasets. EUCAIM's federated infrastructure for cancer image data empowers cancer research in Europe. It provides access to research tools, images, and related clinical, pathology and molecular data
Demand for information on environmental health risk, mode of delivery, and behavioral change: evidence from Sonargaon, Bangladesh
No full textMillions of villagers in Bangladesh are exposed to arsenic by drinking contaminated water from private wells. Testing for arsenic can encourage switching from unsafe wells to safer sources. This study describes results from a cluster randomized controlled trial conducted in 112 villages in Bangladesh to evaluate the effectiveness of different test selling schemes at inducing switching from unsafe wells. At a price of about US0.60, only one in four households purchased a test. Sales were not increased by informal inter-household agreements to share water from wells found to be safe, or by visual reminders of well status in the form of metal placards mounted on the well pump. However, switching away from unsafe wells almost doubled in response to agreements or placards relative to the one in three proportion of households that switched away from an unsafe well with simple individual sales.We acknowledge finanancial support from the Earth Clinic at the Earth Institute, Columbia University (this is LDEO publication number 8384), NIEHS (grant P42 ES010349), NSF (grant ICER1414131), and the Ministerio de Economía y Competitividad of the Spanish Government (grant ECO2015-69869-R)
Análisis de la tipificación y punibilidad de los delitos de malversación tras la reforma de la ley orgánica 14/2022: con especial atención a los casos de administración desleal
No full textTreball de Fi de Grau en Dret. Curs 2024-2025Tutor: Ramon Ragués VallèsEste trabajo va a tratar de analizar cómo ha evolucionado la tipificación y la punibilidad de los delitos de malversación con las diferentes reformas que han experimentado recientemente estos delitos y su efectividad para proteger penalmente a la Administración Pública frente a la corrupción relacionada con estas conductas, haciendo especial hincapié en aquellas conductas de administración desleal de los funcionarios y cargos públicos, al haber sido el principal elemento que han modificado las dos reformas más recientes
Verifiable report generation: a GraphRAG approach to grounded security analysis
No full textTreball fi de màster de: Master's Degree in Data Science. Master Program in Data Science for Decision Making. Curs 2024-2025Tutors: Hannes Mueller i Vanina MartínezThe United Nations places community protection at the core of its humanitarian mission, requiring resource deployment in volatile, high-risk areas. We present a tool leveraging up-to-date conflict and political event data to generate comprehensive country reports. The automated pipeline includes data ingestion, Knowledge Graph construction, GraphRAG-based report generation, self-evaluation using large language models. To address traditional RAG limitations in processing complex geopolitical queries, we adopt GraphRAG, integrating knowledge graph structures into retrieval processes. This improves precision by leveraging entity and relationship awareness, enabling accurate, explainable analyses. GraphRAG enhances synthesis from diverse sources — conflict data, humanitarian reporting, socio-political indicators — resulting in actionable assessments.Les Nacions Unides situen la protecció comunitària al centre de la seva missió humanitària, cosa que requereix el desplegament de recursos en zones volàtils i d'alt risc. Presentem una eina que aprofita dades actualitzades sobre conflictes i esdeveniments polítics per generar informes complets sobre els països. El procés automatitzat inclou la ingestió de dades, la construcció de gràfics de coneixement, la generació d'informes basats en GraphRAG i l'autoavaluació mitjançant models de llenguatge grans. Per abordar les limitacions tradicionals dels RAG en el processament de consultes geopolítiques complexes, adoptem GraphRAG, integrant estructures de gràfics de coneixement en els processos de recuperació. Això millora la precisió aprofitant el coneixement de les entitats i les relacions, permetent anàlisis precises i explicables. GraphRAG millora la síntesi de diverses fonts (dades de conflictes, informes humanitaris, indicadors sociopolítics), donant lloc a avaluacions accionables
Clonal tracing with somatic epimutations reveals dynamics of blood ageing
No full textCurrent approaches used to track stem cell clones through differentiation require genetic engineering1,2 or rely on sparse somatic DNA variants3,4, which limits their wide application. Here we discover that DNA methylation of a subset of CpG sites reflects cellular differentiation, whereas another subset undergoes stochastic epimutations and can serve as digital barcodes of clonal identity. We demonstrate that targeted single-cell profiling of DNA methylation5 at single-CpG resolution can accurately extract both layers of information. To that end, we develop EPI-Clone, a method for transgene-free lineage tracing at scale. Applied to mouse and human haematopoiesis, we capture hundreds of clonal differentiation trajectories across tens of individuals and 230,358 single cells. In mouse ageing, we demonstrate that myeloid bias and low output of old haematopoietic stem cells6 are restricted to a small number of expanded clones, whereas many functionally young-like clones persist in old age. In human ageing, clones with and without known driver mutations of clonal haematopoieis7 are part of a spectrum of age-related clonal expansions that display similar lineage biases. EPI-Clone enables accurate and transgene-free single-cell lineage tracing on hematopoietic cell state landscapes at scale.We thank staff at Mission Bio for support and at the CRG Core Technologies Programme, specifically to the CRG Genomics Unit for assistance with sequencing and the CRG/UPF Flow Cytometry Unit for flow sorting. Funding for this project was provided to L.V. by an EHA Research Grant award granted by the European Hematology Association, by the Fundación Asociación Española Contra el Cáncer (AECC laboratory grant) and by the the Ministry of Science and Innovation (PID2023-146699NB-I00 funded by MCIN / AEI / 10.13039/501100011033 / FEDER, UE). M.S. was supported through the Walter Benjamin Fellowship funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, reference 493935791) and a postdoctoral fellowship provided by the Dr. Rurainski Foundation for Cancer Research. I.S. was supported through the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no 945352. The project that gave rise to these results received the support of a fellowship to M.M.B. from “la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI24/12070016. L.V. acknowledges support of the Spanish Ministry of Science and Innovation through the Centro de Excelencia Severo Ochoa (CEX2020-001049-S, MCIN/AEI /10.13039/501100011033), the Generalitat de Catalunya through the CERCA programme and to the EMBL partnership. A.R.-F has been supported by the Cris Foundation Excellence Award (PR_EX_2020-24), the ERC Starting Grant MemOriStem (101042992), the Spanish National Research Agency (PID2020-114638RA-I00), the Agencia de Gestio d’Ajuts Universitaris i de Recerca (AGAUR, 2017 SGR 1322), and the CERCA Program/Generalitat de Catalunya. A.R.-F. acknowledges support from the Institut Catalá de Recerca i Estudis Avançats (ICREA), the American Society of Hematology (ASH) Scholar Award, the Leukemia Lymphoma Society Special Fellow Career Development Program Award (3391–19), the NIH NHLBI K99/R00 transition to independence award (K99 HL146983), the Ministry of Science Ramon y Cajal Fellowship, and the LaCaixa Junior Fellows Incoming Fellowship. C.A.L. is supported by NIH grants P30CA008748 and R00HG012579. L.S.L. acknowledges supported by grants by the German Research Foundation (DFG), including an Emmy Noether fellowship (LU 2336/2-1), LU 2336/3-1, LU 2336/6-1, STA 1586/5-1, TRR241, SFB1588, and the Heinz Maier-Leibnitz Award. N.A.J. was supported by a Medical Research Council and Leukaemia UK Clinical Research Training Fellowship (MR/R002258/1) and MRC DTP Supplementary Funding 2021. P.V. acknowledges funding from the Medical Research Council Molecular Haematology Unit Programme Grant (MC_UU_00029/8), Blood Cancer UK Programme Continuity Grant 13008, NIHR Senior Fellowship, and the Oxford BRC Haematology Theme
