• Impact of blood rheological strategies on the optimization of patient-specific LAAO configurations for thrombus assessment

  Albors, Carlos; Olivares Miyares, Andy Luis; Iriart, Xavier; Cochet, Hubert; Mill, Jordi; Camara, Oscar (Springer, 2023)

  Left atrial appendage occlusion devices (LAAO) are a feasible alternative for non-valvular atrial fibrillation (AF) patients at high risk of thromboembolic stroke and contraindication to antithrombotic therapies. However, ...
• Sensitivity analysis of left atrial wall modeling approaches and inlet/outlet boundary conditions in fluid simulations to predict thrombus formation

  Albors, Carlos; Mill, Jordi; Kjeldsberg, Henrik A; Viladés-Medel, David; Olivares Miyares, Andy Luis; Valen-Sendstad, Kristian; Camara, Oscar (Springer, 2022)

  In-silico fluid simulations of the left atria (LA) in atrial fibrillation (AF) patients can help to describe and relate patient-specific morphologies and complex flow haemodynamics with the pathophysiological mechanisms ...
• Towards real-time optimization of left atrial appendage occlusion device placement through physics-informed neural networks

  Morales, Xabier; Albors, Carlos; Mill, Jordi; Camara, Oscar (Springer, 2022)

  The adoption of patient-specific computational fluid dynamics (CFD) simulations has been instrumental toward a better understanding of the mechanisms underlying thrombogenesis in the left atrial appendage. Such simulations ...
• Unsupervised machine learning exploration of morphological and haemodynamic indices to predict thrombus formation in the left atrial appendage

  Saiz-Vivó, Marta; Mill, Jordi; Harrison, Josquin; Jimenez-Perez, Guillermo; Legghe, Benoit; Iriart, Xavier; Cochet, Hubert; Piella Fenoy, Gemma; Sermesant, Maxime; Camara, Oscar (Springer, 2022)

  Atrial Fibrillation (AF) is the most common cardiac arrhythmia, and it is associated with an increased risk of embolic stroke. It is known that AF-related thrombus formation occurs predominantly in the left atrial appendage ...
• Abelian groups of fractional operators

  Torres-Hernandez, Anthony; Brambila Paz, Fernando; Ramírez, Rafael, 1966- (MDPI, 2022)

  Taking into count the large number of fractional operators that have been generated over the years, and considering that their number is unlikely to stop increasing at the time of writing this paper due to the recent boom ...
• Proposal for use of the fractional derivative of radial functions in interpolation problems

  Torres Hernandez, Anthony; Brambila Paz, Fernando; Ramírez, Rafael, 1966- (MDPI, 2024)

  This paper presents the construction of a family of radial functions aimed at emulating the behavior of the radial basis function known as thin plate spline (TPS). Additionally, a method is proposed for applying fractional ...
• The CLEF-2024 CheckThat! Lab: check-worthiness, subjectivity, persuasion, roles, authorities, and adversarial robustness.

  Barrón Cedeño, Alberto; Alam, Firoj; Chakraborty, Tanmoy; Elsayed, Tamer; Nakov, Preslav; Przybyła, Piotr; Struß, Julia Maria; Haouari, Fatima; Hasanain, Maram; Ruggeri, Federico; Song, Xingyi; Suwaileh, Reem (Springer, 2024)

  The first five editions of the CheckThat! lab focused on the main tasks of the information verification pipeline: check-worthiness, evidence retrieval and pairing, and verification. Since the 2023 edition, it has been ...
• Sets of fractional operators and some of their applications

  Torres Hernandez, Anthony; Brambila Paz, Fernando; Ramírez, Rafael, 1966- (IntechOpen, 2023)

  This chapter presents one way to define Abelian groups of fractional operators isomorphic to the group of integers under addition through a family of sets of fractional operators and a modified Hadamard product, as well ...
• Researching the role of AI tools in the research practice

  Hernández Leo, Davinia; Sánchez Reina, Jesús Roberto (Universitat Pompeu Fabra, [2024])

  Artificial intelligence is in a constant state of evolution and transformation. In recent times, remarkable changes in AI applications have been observed, ranging from generating social media photos to customizing content ...
• Modelling non-invasive brain stimulation in cognitive neuroscience

  Miniussi, Carlo; Harris, Justin A.; Ruzzoli, Manuela (Elsevier, 2013)

  Non-invasive brain stimulation (NIBS) is a method for the study of cognitive function that is quickly gaining popularity. It bypasses the correlative approaches of other imaging techniques, making it possible to establish ...
• J3Gen: a PRNG for low-cost passive RFID

  Melià Seguí, Joan; Garcia-Alfaro, Joaquin; Herrera-Joancomartí, Jordi (MDPI, 2013)

  Pseudorandom number generation (PRNG) is the main security tool in low-cost passive radio-frequency identification (RFID) technologies, such as EPC Gen2. We present a lightweight PRNG design for low-cost passive RFID tags, ...
• Abstract processing of syllabic structures in early infancy

  Santolin, Chiara; Zacharaki, Konstantina; Toro Soto, Juan Manuel, 1976-; Sebastian-Galles, Nuria (Elsevier, 2024)

  Syllables are one of the fundamental building blocks of early language acquisition. From birth onwards, infants preferentially segment, process and represent the speech into syllable-sized units, raising the question of ...
• Line-of-sight MIMO via intelligent reflecting surface

  Do, Heedong; Le, Namyoon; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2023)

  This paper deals with line-of-sight (LOS) MIMO communication via an intelligent reflecting surface (IRS). It is shown that the number of spatial degrees of freedom (DOF) afforded by this setting grows in proportion with ...
• Precoding and reception for ULA-based wide-aperture MIMO

  Mojahedian, Mohammad M.; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2023)

  An approach is presented to compute the capacity-achieving precoder and receiver for wide-aperture MIMO with uniform linear arrays in O(N2min) operations as opposed to the O(N2minNmax) required by the singular-value ...
• Parabolic wavefront model for line-of-sight MIMO channels

  Do, Heedong; Lee, Namyoon; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2023)

  Motivated by the widespread adoption of the parabolic wavefront model for line-of-sight (LOS) multiple-input multiple-output (MIMO) communication, this paper presents a comprehensive analysis of this model’s validity and ...
• Neural geometrodynamics, complexity, and plasticity: a psychedelics perspective

  Ruffini, Giulio; Lopez-Sola, Edmundo; Vohryzek, Jakub; Sanchez Todo, Roser (MDPI, 2024)

  We explore the intersection of neural dynamics and the effects of psychedelics in light of distinct timescales in a framework integrating concepts from dynamics, complexity, and plasticity. We call this framework neural ...
• Individualized post-crisis monitoring of psychiatric patients via Hidden Markov models

  Garriga, Roger; Gómez Cerdà, Vicenç; Lugosi, Gábor (Frontiers, 2024)

  Introduction: Individuals in the midst of a mental health crisis frequently exhibit instability and face an elevated risk of recurring crises in the subsequent weeks, which underscores the importance of timely intervention ...
• Gender-based learning and behavioural differences in an educational social media platform

  Theophilou, Emily; Hernández Leo, Davinia; Gómez, Vicenç (Wiley, 2023)

  Background:Gender differences in the use of educational environments and socialmedia platforms have been a topic of interest in research. Several studies have exam-ined the disparities between female and male participants ...
• Variable penumbra soft shadows for mobile devices

  Evans, Alun Thomas; Agenjo, Javier; Blat, Josep (SCITEPRESS – Science and Technology Publications, 2014)

  In many applications of 3D graphics, shadows increase the believability and perceived quality of a scene. With the increase in power of workstation hardware, high-quality soft shadowing has become relatively common in many ...
• A multiclass anisotropic Mumford-Shah functional for segmentation of d-dimensional vectorial images

  Garamendi, Juan Francisco; Schiavi, Emanuele (SCITEPRESS – Science and Technology Publications, 2017)

  We present a general model for multi-class segmentation of multi-channel digital images. It is based on the minimization of an anisotropic version of the Mumford-Shah energy functional in the class of piecewise constant ...

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