• Interdisciplinary doctoral training in technology-enhanced learning in Europe

  Pammer Schindler, Viktoria; Wild, Fridolin; Fominykh, Mikhail; Ley, Tobias; Perifanou, Maria; Soule, Maria Victoria; Hernández Leo, Davinia; Kalz, Marco; Klamma, Ralf; Pedro, Luís; Santos, Carlos; Glahn, Christian; Economides, Anastasios A.; Parmaxi, Antigoni; Prasolova-Førland, Ekaterina; Gillet, Denis; Maillet, Katherine (Frontiers, 2020)

  Technology enhanced learning (TEL) research connects Learning Sciences, Educational Psychology, and Computer Science, in order to investigate interventions based on digital technologies in education and training settings. ...
• LASER: lightweight and secure remote keyless entry protocol

  Daza, Vanesa; Salleras Soler, Xavier (SciTePress. Science and Technology Publications, 2019)

  Since Remote Keyless Entry (RKE) systems started to be widely used, several vulnerabilities in their protocols have been found. Attacks such as jamming-and-replay attacks and relay attacks are still effective against most ...
• When the whole is less than the sum of its parts: how composition affects PMI values in distributional semantic vectors

  Paperno, Denis; Baroni, Marco (MIT Press, 2016)

  Distributional semantic models, deriving vector-based word representations from patterns of word usage in corpora, have many useful applications (Turney and Pantel 2010). Recently, there has been interest in compositional ...
• There is no logical negation here, but there are alternatives: modeling conversational negation with distributional semantics

  Kruszewski, German; Paperno, Denis; Bernardi, Raffaella; Baroni, Marco (MIT Press, 2016)

  Logical negation is a challenge for distributional semantics, because predicates and their negations tend to occur in very similar contexts, and consequently their distributional vectors are very similar. Indeed, it is not ...
• SICK through the SemEval glasses: lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment

  Bentivogli, Luisa; Bernardi, Raffaella; Marelli, Marco; Menini, Stefano; Baroni, Marco; Zamparelli, Roberto (Springer, 2016)

  This paper is an extended description of SemEval-2014 Task 1, the task on the evaluation of Compositional Distributional Semantics Models on full sentences. Systems participating in the task were presented with pairs of ...
• Multimodal word meaning induction from minimal exposure to natural text

  Lazaridou, Angeliki; Marelli, Marco; Baroni, Marco (Wiley, 2017)

  By the time they reach early adulthood, English speakers are familiar with the meaning of thousands of words. In the last decades, computational simulations known as distributional semantic models (DSMs) have demonstrated ...
• Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

  Kos, Zuzana; Comerma Blesa, Laura, 1983-; Salgado, Roberto; International Immuno-Oncology Biomarker Working Group (Nature Research, 2020)

  Stromal tumor-infiltrating lymphocytes (sTILs) are important prognostic and predictive biomarkers in triple-negative (TNBC) and HER2-positive breast cancer. Incorporating sTILs into clinical practice necessitates reproducible ...
• Blueprint of human thymopoiesis reveals molecular mechanisms of stage-specific TCR enhancer activation

  Cieslak, Agata; Gut, Marta; Gut, Ivo Glynne; Asnafi, Vahid (Rockefeller University Press, 2020)

  Cell differentiation is accompanied by epigenetic changes leading to precise lineage definition and cell identity. Here we present a comprehensive resource of epigenomic data of human T cell precursors along with an ...
• HypercubeME: two hundred million combinatorially complete datasets from a single experiment

  Esteban, Laura Avino; Lonishin, Lyubov R.; Bobrovskiy, Daniil; Leleytner, Gregory; Bogatyreva, Natalya S.; Kondrashov, Fyodor A., 1979-; Ivankov, Dmitry N. (Oxford University Press, 2020)

  Motivation: Epistasis, the context-dependence of the contribution of an amino acid substitution to fitness, is common in evolution. To detect epistasis, fitness must be measured for at least four genotypes: the reference ...
• DualSeqDB: the host-pathogen dual RNA sequencing database for infection processes

  Macho Rendón, Javier; Lang, Benjamin; Ramos Llorens, Marc; Tartaglia, Gian Gaetano; Torrent Burgas, Marc (Oxford University Press, 2020)

  Despite antibiotic resistance being a matter of growing concern worldwide, the bacterial mechanisms of pathogenesis remain underexplored, restraining our ability to develop new antimicrobials. The rise of high-throughput ...
• RNA as the stone guest of protein aggregation

  Louka, Alexandra; Zacco, Elsa; Temussi, Piero Andrea; Tartaglia, Gian Gaetano; Pastore, Annalisa (Oxford University Press, 2020)

  The study of prions as infectious aggregates dates several decades. From its original formulation, the definition of a prion has progressively changed to the point that many aggregation-prone proteins are now considered ...
• Structural analysis of SARS-CoV-2 genome and predictions of the human interactome

  Vandelli, Andrea; Monti, Michele; Milanetti, Edoardo; Armaos, Alexandros, 1989-; Rupert, Jakob; Zacco, Elsa; Bechara, Elias; Delli Ponti, Riccardo, 1987-; Tartaglia, Gian Gaetano (Oxford University Press, 2020)

  Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2000 coronaviruses and computed >100 000 human protein interactions with severe acute ...
• Modulation-enhanced localization microscopy

  Reymond, Loïc; Huser, Thomas; Ruprecht, Verena; Wieser, Stefan (IOP Publishing Ltd., 2020)

  Super-resolution fluorescence microscopy has become a powerful tool in cell biology to observe sub-cellular organization and molecular details below the diffraction limit of light. Super-resolution methods are generally ...
• Quantifying the monomer-dimer equilibrium of tubulin with mass photometry

  Fineberg, Adam; Surrey, Thomas; Kukura, Philipp (Elsevier, 2020)

  The αβ-tubulin heterodimer is the fundamental building block of microtubules, making it central to several cellular processes. Despite the apparent simplicity of heterodimerisation, the associated energetics and kinetics ...
• Neural sensitivity to syllable frequency and mutual information in speech perception and production

  Tremblay, Pascale; Deschamps, Isabelle; Baroni, Marco; Hasson, Uri (Elsevier, 2016)

  Many factors affect our ability to decode the speech signal, including its quality, the complexity of the elements that compose it, as well as their frequency of occurrence and co-occurrence in a language. Syllable frequency ...
• Chromatin-bound proteome profiling by genome capture

  Aranda Aragón, Sergio; Borràs, Eva; Sabidó Aguadé, Eduard, 1981-; Di Croce, Luciano (Elsevier, 2020)

  De novo identification of chromatin interactors can reveal unexpected pathways relevant to physiology and human disease. Inspired by the DNA mediated chromatin pull-down (Dm-ChP) technology (also known as iPOND [isolation ...
• Web-based embodied conversational agents and older people

  Llorach, Gerard; Agenjo, Javier; Blat, Josep; Sayago Barrantes, Sergio (Springer, 2019)

  Within Human-Computer Interaction, there has recently been an important turn to embodied and voice-based interaction. In this chapter, we discuss our ongoing research on building online Embodied Conversational Agents (ECAs), ...
• Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

  Vogelezang, Suzanne; Vilor Tejedor, Natàlia, 1988-; Bustamante Pineda, Mariona; Vrijheid, Martine; Sunyer Deu, Jordi; Felix, Janine Frédérique (Public Library of Science (PLoS), 2020)

  The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed ...
• Hierarchical multi-scale set-class analysis

  Martorell Domínguez, Agustín; Gómez Gutiérrez, Emilia, 1975- (Taylor & Francis, 2015)

  This work presents a systematic methodology for set-class surface analysis using temporal multi-scale techniques. The method extracts the set-class content of all the possible temporal segments, addressing the representational ...
• Mapping between dynamic markings and performed loudness: a machine learning approach

  Kosta, Katerina; Ramírez, Rafael,1966-; Bandtlow, Oscar F.; Chew, Elaine (Taylor & Francis, 2016)

  Loudness variation is one of the foremost tools for expressivity in music performance. Loudness is frequently notated as dynamic markings such as p (piano, meaning soft) or f (forte, meaning loud). While dynamic markings ...

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