• Neural correlates of acoustic dissonance in music: The role of musicianship, schematic and veridical expectations

  Pagès-Portabella, Carlota; Toro Soto, Juan Manuel, 1976-; Toro Soto, Juan Manuel, 1976- (Public Library of Science (PLoS), 2021)

  In western music, harmonic expectations can be fulfilled or broken by unexpected chords. Musical irregularities in the absence of auditory deviance elicit well-studied neural responses (e.g. ERAN, P3, N5). These responses ...
• Perturbations in dynamical models of wholebrain activity dissociate between the level and stability of consciousness

  Sanz Perl, Yonatan; Pallavicini, Carla; Pérez Ipiña, Ignacio; Demertz, Athena; Bonhomme, Vincent; Martial, Charlotte; Panda, Rajanikant; Annen, Jitka; Ibañez, Agustin; Kringelbach, Morten L.; Deco, Gustavo; Laufs, Helmut; Sitt, Jacobo; Laureys, Steven; Tagliazucchi, Enzo (Public Library of Science (PLoS), 2021)

  Consciousness transiently fades away during deep sleep, more stably under anesthesia, and sometimes permanently due to brain injury. The development of an index to quantify the level of consciousness across these different ...
• Twisted Edwards elliptic curves for zero-knowledge circuits

  Bellés-Muñoz, Marta; Whitehat, Barry; Baylina, Jordi; Daza, Vanesa; Muñoz-Tapia, Jose Luis (MDPI, 2021)

  Circuit-based zero-knowledge proofs have arose as a solution to the implementation of privacy in blockchain applications, and to current scalability problems that blockchains suffer from. The most efficient circuit-based ...
• Time-sensitive networking in IEEE 802.11be: on the way to low-latency WiFi 7

  Adame, Toni; Carrascosa Zamacois, Marc; Bellalta, Boris (MDPI, 2021)

  A short time after the official launch of WiFi 6, IEEE 802.11 working groups along with the WiFi Alliance are already designing its successor in the wireless local area network (WLAN) ecosystem: WiFi 7. With the IEEE ...
• Computational modeling of information propagation during the sleep–waking cycle

  Razi, Farhad; Moreno Bote, Rubén; Sancristóbal, Belén (MDPI, 2021)

  Non-threatening familiar sounds can go unnoticed during sleep despite the fact that they enter our brain by exciting the auditory nerves. Extracellular cortical recordings in the primary auditory cortex of rodents show ...
• Blockchain-based information management for supply chain data-platforms

  Della Valle, Fabio; Oliver Riera, Miquel (MDPI, 2021)

  Performance measurement and information management are vital assets for supply chain management. In this study, we analyzed the effective combination between blockchain technologies and supply chain management processes. ...
• An exterior algebraic derivation of the euler–lagrange equations from the principle of stationary action

  Colombaro, Ivano; Font Segura, Josep; Martínez, Alfonso, 1973- (MDPI, 2021)

  In this paper, we review two related aspects of field theory: the modeling of the fields by means of exterior algebra and calculus, and the derivation of the field dynamics, i.e., the Euler– Lagrange equations, by means ...
• Sensitivity analysis of in silico fluid simulations to predict thrombus formation after left atrial appendage occlusion

  Mill, Jordi; Agudelo, Victor; Olivares Miyares, Andy Luis; Pons Vidal, Maria Isabel; Silva, Etelvino; Nuñez-Garcia, Marta; Morales Ferez, Xabier; Arzamendi, Dabit; Freixa, Xavier; Noailly, Jérôme; Camara, Oscar (MDPI, 2021)

  Atrial fibrillation (AF) is nowadays the most common human arrhythmia and it is considered a marker of an increased risk of embolic stroke. It is known that 99% of AF-related thrombi are generated in the left atrial ...
• A Guidance for blockchain-based digital transition in supply chains

  Della Valle, Fabio; Oliver Riera, Miquel (MDPI, 2021)

  Blockchains play a crucial role in the digitalization of future supply chains (SCs). In this study, we analyzed the major influences that blockchain-based digital business strategies may play in SC operations. We conducted ...
• SafeSmart: a VANET system for faster responses and increased safety in time-critical scenarios

  Kochenborger Duarte, Eduardo; Da Costa, Luis Antonio L.F.; Erneberg, Mikael; Pignaton de Freitas, Edison; Bellalta, Boris; Vinel, Alexey (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  An important use case for Vehicular Ad-hoc Networks (VANETs) is its application in the warning systems of emergency vehicles (EV). VANET-based vehicle-to-infrastructure (V2I) communication can be used to exchange important ...
• Multi-armed bandits for spectrum allocation in multi-agent channel bonding WLANs

  Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  While dynamic channel bonding (DCB) is proven to boost the capacity of wireless local area networks (WLANs) by adapting the bandwidth on a per-frame basis, its performance is tied to the primary and secondary channel ...
• Volume conduction for powering deeply implanted networks of wireless injectable medical devices: a numerical parametric analysis

  Tudela Pi, Marc; Minguillon, Jesus; Becerra Fajardo, Laura; Ivorra Cano, Antoni, 1974- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  The use of networks of wireless active implantable medical devices (AIMDs) could revolutionize the way that numerous severe illnesses are treated. However, the development of sub-mm AIMDs is hindered by the bulkiness and ...
• Projection-based collision detection algorithm for stereoelectroencephalography electrode risk assessment and re-planning

  Higueras-Esteban, Alfredo; Delgado-Martínez, Ignacio; Serrano Pérez, Laura; Infante-Santos, Nazaret; Narváez-Martínez, Alejandra; Principe, Alessandro; Rocamora, Rodrigo; Conesa, Gerardo; Serra, Luis; González Ballester, Miguel Ángel, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Surgical planning is crucial to Stereoelectroencephalography (SEEG), a minimally invasive procedure that requires clinicians to operate with no direct view of the brain. Decisions making involves different clinical ...
• The Menstrual cycle modulates whole-brain turbulent dynamics

  De Filippi, Eleonora; Uribe, Carme; Avila-Varela, Daniela S.; Martínez-Molina, Noelia; Gashaj, Venera; Pritschet, Laura; Santander, Tyler; Jacobs, Emily G.; Kringelbach, Morten L.; Sanz Perl, Yonatan; Deco, Gustavo; Escrichs, Anira (Frontiers, 2021)

  Brain dynamics have recently been shown to be modulated by rhythmic changes in female sex hormone concentrations across an entire menstrual cycle. However, many questions remain regarding the specific differences in ...
• Evidence-based network modelling to simulate nucleus pulposus multicellular activity in different nutritional and pro-inflammatory environments

  Baumgartner, Laura; Sadowska, Aleksandra; González Ballester, Miguel Ángel, 1973-; Wuertz-Kozak, Karin; Noailly, Jérôme (Frontiers, 2021)

  Initiation of intervertebral disc degeneration is thought to be biologically driven. This reflects a process, where biochemical and mechanical stimuli affect cell activity (CA) that compromise the tissue strength over ...
• Revealing the relevant spatiotemporal scale underlying whole-brain dynamics

  Kobeleva, Xenia; López-González, Ane, 1993-; Kringelbach, Morten L.; Deco, Gustavo (Frontiers, 2021)

  The brain rapidly processes and adapts to new information by dynamically transitioning between whole-brain functional networks. In this whole-brain modeling study we investigate the relevance of spatiotemporal scale in ...
• The Response of governments and public health agencies to COVID-19 pandemics on social media: a multi-country analysis of Twitter discourse

  Li, Lan; Aldosery, Aisha; Vitiugin, Fedor; Nathan, Naomi; Novillo-Ortiz, David; Castillo, Carlos; Kostkova, Patty (Frontiers, 2021)

  During the COVID-19 pandemic, information is being rapidly shared by public health experts and researchers through social media platforms. Whilst government policies were disseminated and discussed, fake news and ...
• Distinguishing self, other, and autonomy from visual feedback: a combined correlation and acceleration transfer analysis

  Demirel, Berkay; Moulin-Frier, Clément; Arsiwalla, Xerxes D.; Verschure, Paul F. M. J.; Sánchez Fibla, Martí (Frontiers, 2021)

  In cognitive science, Theory of Mind (ToM) is the mental faculty of assessing intentions and beliefs of others and requires, in part, to distinguish incoming sensorimotor (SM) signals and, accordingly, attribute these ...
• Classification of complex emotions using EEG and virtual environment: proof of concept and therapeutic implication

  De Filippi, Eleonora; Wolter, Mara; Melo, Bruno R. P.; Tierra-Criollo, Carlos J.; Bortolini, Tiago; Deco, Gustavo; Moll, Jorge (Frontiers, 2021)

  During the last decades, neurofeedback training for emotional self-regulation has received significant attention from scientific and clinical communities. Most studies have investigated emotions using functional magnetic ...
• Deep learning framework for real-time estimation of in-silico thrombotic risk indices in the left atrial appendage

  Morales Ferez, Xabier; Mill, Jordi; Juhl, Kristine Aavild; Acebes, Cesar; Iriart, Xavier; Legghe, Benoit; Cochet, Hubert; De Backer, Ole; Paulsen, Rasmus R.; Camara, Oscar (Frontiers, 2021)

  Patient-specific computational fluid dynamics (CFD) simulations can provide invaluable insight into the interaction of left atrial appendage (LAA) morphology, hemodynamics, and the formation of thrombi in atrial fibrillation ...

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