• Acoustic and prosodic information for home monitoring of bipolar disorder

  Farrús, Mireia; Codina Filbà, Joan; Escudero, Joan (SAGE Publications, 2021)

  Epidemiological studies suggest that bipolar disorder has a prevalence of about 1% in European countries, becoming one of the most disabling illnesses in working age adults, and often long-term and persistent with complex ...
• Aphasia and acquired reading impairments: What are the high‐tech alternatives to compensate for reading deficits?

  Cistola, Giorgia; Farrús, Mireia; van der Meulen, Ineke (Wiley, 2020)

  Abstract Background People with aphasia (PWA) frequently present impairments in reading comprehension. Such impairments can be particularly debilitating due to the limitations and constraints they impose on everyday life. ...
• “Cascades, torrents & drowning” in information: seeking help in the contemporary general practitioner practice in the UK

  Holley, Debbie; Santos Rodríguez, Patrícia; Cook, John; Kerr, Micky P. (Taylor & Francis, 2016)

  This paper responds to the Alpine Rendez-Vous “crisis” in technology-enhanced learning. It takes a contested area of policy as well as a rapid change in the National Health Service, and documents the responses to “information ...
• Uncovering the spatiotemporal scales of common neuro-mental constructs

  Vila-Vidal, Manel; Capouskova, Katerina; Atasoy, Selen; Kringelbach, Morten L.; Deco, Gustavo (Elsevier, 2019)
• Electrophoresis-assisted accumulation of conductive nanoparticles for the enhancement of cell electropermeabilization

  Ghorbel, Amina; André, Franck M.; Mir, Lluis M.; García Sánchez, Tomás (Elsevier, 2021)

  The use of conductive nanoparticles (NPs) was previously proposed as a way to locally amplify the electric field (EF) intensity at the cell membrane to enhance cell electroporation. To achieve this, a close distance between ...
• Enhancing consent forms to support participant decision making in multimodal learning data research

  Beardsley, Marc; Martínez Moreno, Judit; Vujovic, Milica; Hernández Leo, Davinia; Santos Rodríguez, Patrícia (Wiley, 2020)

  Advances in the field of multimodal learning analytics (MMLA) research is often accomplished by actively exploring new technologies and techniques related to the collection and analysis of data. Exploration of ethical ...
• An actionable orchestration dashboard to enhance collaboration in the classroom

  Amarasinghe, Ishari; Hernández Leo, Davinia; Michos, Konstantinos; Vujovic, Milica (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  The orchestration of collaborative learning activities in technology-enhanced classrooms has become a nontrivial endeavor for educators. Depending on the behaviors and needs of students that emerge in real educational ...
• Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning

  Perera Bel, Enric; Ceresa, Mario; Torrents Barrena, Jordina; Masoller, Narcís; Valenzuela Alcaraz, Brenda; Gratacós Solsona, Eduard; Eixarch, Elisenda; González Ballester, Miguel Ángel, 1973- (Springer, 2020)

  Purpose Twin-to-twin transfusion syndrome (TTTS) is a serious condition that occurs in about 10–15% of monochorionic twin pregnancies. In most instances, the blood flow is unevenly distributed throughout the placenta ...
• The Dynamics of functional brain networks associated with depressive symptoms in a nonclinical sample

  Alonso Martínez, Sonsoles; Deco, Gustavo; ter Horst, Gert J.; Cabral, Joana (Frontiers, 2020)

  Brain function depends on the flexible and dynamic coordination of functional subsystems within distributed neural networks operating on multiple scales. Recent progress has been made in the characterization of functional ...
• Statistical learning in domestic chicks is modulated by strain and sex

  Santolin, Chiara; Rosa Salva, Orsola; Lemaire, Bastien S.; Regolin, Lucia; Vallortigara, Giorgio (Nature Research, 2020)

  Statistical learning is a key mechanism for detecting regularities from a variety of sensory inputs. Precocial newborn domestic chicks provide an excellent model for (1) exploring unsupervised forms of statistical learning ...
• CoNTe: a core network temporal blockchain for 5G

  Platt, Steven; Sanabria Russo, Luis; Oliver Riera, Miquel (MDPI, 2020)

  Virtual Network Functions allow the effective separation between hardware and network functionality, a strong paradigm shift from previously tightly integrated monolithic, vendor, and technology dependent deployments. In ...
• EdCrumble, a data-enriched visual authoring design tool for blended learning

  Albó, Laia; Hernández Leo, Davinia (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  This paper presents an evaluation of edCrumble, a blended learning authoring tool for teachers. The tool visually represents learning designs and integrates data analytics to scaffold teacher design decisions. In addition ...
• Auditory and frontal anatomic correlates of pitch discrimination in musicians, non-musicians, and children without musical training

  Palomar García, María Ángeles; Hernández Pardo, Mireia; Olcina, Gustau; Adrián Ventura, Jesús; Costumero, Víctor; Miró Padilla, Anna; Villar Rodríguez, Esteban; Ávila, César (Springer, 2020)

  Individual differences in pitch discrimination have been associated with the volume of both the bilateral Heschl’s gyrus and the right inferior frontal gyrus (IFG). However, most of these studies used samples composed of ...
• Integration of artificial intelligence into clinical patient management: focus on cardiac imaging

  Loncaric, Filip; Camara, Oscar; Piella Fenoy, Gemma; Bijnens, Bart (Elsevier, 2020)

  Cardiac imaging is a crucial component in the management of patients with heart disease, and as such it influences multiple, inter-related parts of the clinical workflow: physician-patient contact, image acquisition, image ...
• Visual-reward driven changes of movement during action execution

  Marti Marca, Angela; Deco, Gustavo; Cos, Ignasi (Nature Research, 2020)

  Motor decision-making is often described as a sequential process, beginning with the assessment of available options and leading to the execution of a selected movement. While this view is likely to be accurate for decisions ...
• Maximizing the engagement: exploring new signals of implicit feedback in music recommendations

  Ferraro, Andrés; Oramas, Sergio; Quadrana, Massimo; Serra, Xavier (CEUR Workshop Proceedings, 2020)

  Music recommendation engines play a pivotal role in connecting artists with their listeners. Optimizing myopically only for user satisfaction may lead systems to recommend just a small fraction of all the available artists, ...
• Remote pacemaker control of chimera states in multilayer networks of neurons

  Ruzzene, Giulia; Omelchenko, Iryna; Sawicki, Jakub; Zakharova, Anna; Schöll, Eckehard; Andrzejak, Ralph Gregor (American Physical Society, 2020)

  Networks of coupled nonlinear oscillators allow for the formation of nontrivial partially synchronized spatiotemporal patterns, such as chimera states, in which there are coexisting coherent (synchronized) and incoherent ...
• Seizure onset zone lateralization using a non-linear analysis of micro vs. macro electroencephalographic recordings during seizure-free stages of the sleep-wake cycle from epilepsy patients

  Martínez, Cristina G. B.; Niediek, Johannes; Mormann, Florian; Andrzejak, Ralph Gregor (Frontiers, 2020)

  The application of non-linear signal analysis techniques to biomedical data is key to improve our knowledge about complex physiological and pathological processes. In particular, the use of non-linear techniques to study ...
• Student perspectives on the COVID-19 emergency remote teaching at a catalan engineering school

  Moreno Oliver, Verónica; Hernández Leo, Davinia (2020)

  Due to the COVID-19 health crisis, the UPF closed its physical doors in mid-March, in line with all other universities. As a result, all teaching activities (initially conceived as on-site) had to be reorganised in order ...
• Digital competences and social impact: extracurricular learning

  Freire, Ana; Moreno Oliver, Verónica (2020)

  The underrepresentation of women in technical degrees is a matter of concern, as it leads to multiple issues such as the lack of diversity and the exclusion of women from the tech industry job market. Several initiatives ...

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