401 results on '"Baqué P"'
Search Results
2. Tutors’ perspective on the impact of their anatomy tutoring experience and ethics of body donation
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D’Andréa, Grégoire, Massalou, Damien, Camuzard, Olivier, Bronsard, Nicolas, and Baqué, Patrick
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- 2024
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3. Cadaveric study on the arterial blood supply to the middle third nasal skin: implications for aesthetic and reconstructive surgery
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D’Andréa, Grégoire, Poissonnet, Gilles, Camuzard, Olivier, Bronsard, Nicolas, and Baqué, Patrick
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- 2024
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4. A Gamma-adapted subunit vaccine induces broadly neutralizing antibodies against SARS-CoV-2 variants and protects mice from infection
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Coria, Lorena M., Rodriguez, Juan Manuel, Demaria, Agostina, Bruno, Laura A., Medrano, Mayra Rios, Castro, Celeste Pueblas, Castro, Eliana F., Del Priore, Sabrina A., Hernando Insua, Andres C., Kaufmann, Ingrid G., Saposnik, Lucas M., Stone, William B., Prado, Lineia, Notaro, Ulises S., Amweg, Ayelen N., Diaz, Pablo U., Avaro, Martin, Ortega, Hugo, Ceballos, Ana, Krum, Valeria, Zurvarra, Francisco M., Sidabra, Johanna E., Drehe, Ignacio, Baqué, Jonathan A., Li Causi, Mariana, De Nichilo, Analia V., Payes, Cristian J., Southard, Teresa, Vega, Julio C., Auguste, Albert J., Álvarez, Diego E., Flo, Juan M., Pasquevich, Karina A., and Cassataro, Juliana
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- 2024
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5. A national survey to assess the state of anatomy teaching in France across various disciplines and professions
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Dissaux, Brieg, Duigou, Marie, Herteleer, Matthias, Lefèvre, Christian, Baqué, Patrick, and Seizeur, Romuald
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- 2024
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6. The Effectiveness of Embodied Prosodic Training in L2 Accentedness and Vowel Accuracy
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Li, Peng, Baills, Florence, Baqué, Lorraine, and Prieto, Pilar
- Abstract
This study explores the effects of embodied prosodic training on the production of non-native French front rounded vowels (i.e. /y, ø, oe/) and the overall pronunciation proficiency. Fifty-seven Catalan learners of French practiced pronunciation in one of two conditions: one group observed hand gestures embodying prosodic features of the sentences they were listening to, while the other group did not see any such gestures. The learning outcome was assessed in a pretest, posttest, and delayed posttest through a dialogue-reading task and a sentence imitation task in terms of accentedness, comprehensibility and fluency scores, and through formant analysis of participant-produced target vowels. The results showed that compared to non-embodied training, embodied prosodic training yielded continuous improvement in accentedness in both tasks and improved the F2 values of French front rounded vowels (more fronted). As for comprehensibility and fluency scores, both groups showed similar levels of significant improvement. This study highlights the interaction between prosodic and segmental features of speech by showing that training with embodied prosodic features benefitted accentedness and the production accuracy of non-native vowels.
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- 2023
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7. Sustainability and the environmental impact of the tourism industry: An analysis of the hotel sector in Catalonia, Spain
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Juan Jose Gomez Guillen and David Tapias Baqué
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sustainability, environmental impact, communication, transparency, tourism, hotel, hospitality industry ,General Works - Abstract
Purpose: This research examines policies aimed at reducing the environmental impact of the hotel sector in Catalonia, Spain in 2020 and how they are communicated to stakeholders through corporate websites. It applies academic criteria to identify key aspects that are relevant to tourism. Design/Methodology: This study conducts a descriptive analysis of Catalonia's hotel sector in 2020, utilizing SABI (Iberian Balance Sheet Analysis System) data. It selects the top 48 companies in the hotel sector that are legally required to report their annual accounts in the regular format. The study then systematically evaluates their websites to assess the availability and transparency of information on environmental sustainability. Findings: Sustainable tourism, marked by non-financial indicators such as environmental impact, energy/water usage and waste generation, is a very important issue for stakeholders in the hotel industry, including governments, owners, investors, and customers. The sector's reporting methods are crucial for effectively communicating environmental policies to these parties. While many companies have implemented strategies to assess and reduce their environmental impact, there is still considerable room for improvement, particularly in communicating these efforts to the various stakeholders. Research limitations/implications: This research, while rigorous, has certain limitations that suggest directions for future studies. A primary constraint involves data reported at a group level by hotel companies, which complicates obtaining specific data for the Catalonia region, particularly for hotel groups with an international presence. Another significant limitation is the reliance on indirect data collection, based on the companies' self-reported environmental policies posted on their websites. Practical implications: By identifying and knowing the environmental policies of the hotel industry over the analyzed period, we can help the industry itself to improve the sustainability of its environmental efforts and make it more attractive to all stakeholders. Social implications: The study highlights the importance of environmental policies and the achievement of the UN Sustainable Development Goals (SDGs) in the hotel industry. This industry plays an important role in achieving the UN SDGs, which offer significant benefits for business, such as access to new markets, better risk management and long-term sustainability, as well as social benefits. This is increasingly expected by both consumers and investors. Originality/Value: This study examines the commitment and information transparency of the Costa Brava hotel sector in terms of environmental sustainability, as well as its communication strategies. This is achieved primarily through the analysis of corporate websites, comparing the information and indices to those of other entities in the sector. The relevance and value of this analysis stems from the recognition that, despite the efforts made to improve the sector, further progress needs to be made in order to make it more attractive to stakeholders.
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- 2024
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8. Preliminary evaluation of computer-assisted home training for French cochlear implant recipients.
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Kerneis, Sandrine, Galvin, John, Borel, Stephanie, Baqué, Jean, Fu, Qian-Jie, and Bakhos, David
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Humans ,Cochlear Implants ,Pilot Projects ,Speech Perception ,Cochlear Implantation ,Hearing Aids ,Computers - Abstract
For French cochlear implant (CI) recipients, in-person clinical auditory rehabilitation is typically provided during the first few years post-implantation. However, this is often inconvenient, it requires substantial time resources and can be problematic when appointments are unavailable. In response, we developed a computer-based home training software (French AngelSound™) for French CI recipients. We recently conducted a pilot study to evaluate the newly developed French AngelSound™ in 15 CI recipients (5 unilateral, 5 bilateral, 5 bimodal). Outcome measures included phoneme recognition in quiet and sentence recognition in noise. Unilateral CI users were tested with the CI alone. Bilateral CI users were tested with each CI ear alone to determine the poorer ear to be trained, as well as with both ears (binaural performance). Bimodal CI users were tested with the CI ear alone, and with the contralateral hearing aid (binaural performance). Participants trained at home over a one-month period (10 hours total). Phonemic contrast training was used; the level of difficulty ranged from phoneme discrimination in quiet to phoneme identification in multi-talker babble. Unilateral and bimodal CI users trained with the CI alone; bilateral CI users trained with the poorer ear alone. Outcomes were measured before training (pre-training), immediately after training was completed (post-training), and one month after training was stopped (follow-up). For all participants, post-training CI-only vowel and consonant recognition scores significantly improved after phoneme training with the CI ear alone. For bilateral and bimodal CI users, binaural vowel and consonant recognition scores also significantly improved after training with a single CI ear. Follow-up measures showed that training benefits were largely retained. These preliminary data suggest that the phonemic contrast training in French AngelSound™ may significantly benefit French CI recipients and may complement clinical auditory rehabilitation, especially when in-person visits are not possible.
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- 2023
9. Icy ocean worlds - astrobiology research in Germany
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Fabian Klenner, Mickael Baqué, Kristina Beblo-Vranesevic, Janine Bönigk, Marc S. Boxberg, Bernd Dachwald, Ilya Digel, Andreas Elsaesser, Clemens Espe, Oliver Funke, Ernst Hauber, Dirk Heinen, Florence Hofmann, Lucía Hortal Sánchez, Nozair Khawaja, Maryse Napoleoni, Ana-Catalina Plesa, Frank Postberg, Autun Purser, Tina Rückriemen-Bez, Susanne Schröder, Dirk Schulze-Makuch, Stephan Ulamec, and Jean-Pierre Paul de Vera
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subsurface oceans ,space missions ,habitability ,icy moons ,solar system exploration ,Deutsche Astrobiologische Gesellschaft (DAbG) ,Astronomy ,QB1-991 ,Geophysics. Cosmic physics ,QC801-809 - Abstract
Icy bodies with subsurface oceans are a prime target for astrobiology investigations, with an increasing number of scientists participating in the planning, development, and realization of space missions to these worlds. Within Germany, the Ocean Worlds and Icy Moons working group of the German Astrobiology Society provides an invaluable platform for scientists and engineers from universities and other organizations with a passion for icy ocean worlds to share knowledge and start collaborations. We here present an overview about astrobiology research activities related to icy ocean worlds conducted either in Germany or in strong collaboration with scientists in Germany. With recent developments, Germany offers itself as a partner to contribute to icy ocean world missions.
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- 2024
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10. A Gamma-adapted subunit vaccine induces broadly neutralizing antibodies against SARS-CoV-2 variants and protects mice from infection
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Lorena M. Coria, Juan Manuel Rodriguez, Agostina Demaria, Laura A. Bruno, Mayra Rios Medrano, Celeste Pueblas Castro, Eliana F. Castro, Sabrina A. Del Priore, Andres C. Hernando Insua, Ingrid G. Kaufmann, Lucas M. Saposnik, William B. Stone, Lineia Prado, Ulises S. Notaro, Ayelen N. Amweg, Pablo U. Diaz, Martin Avaro, Hugo Ortega, Ana Ceballos, Valeria Krum, Francisco M. Zurvarra, Johanna E. Sidabra, Ignacio Drehe, Jonathan A. Baqué, Mariana Li Causi, Analia V. De Nichilo, Cristian J. Payes, Teresa Southard, Julio C. Vega, Albert J. Auguste, Diego E. Álvarez, Juan M. Flo, Karina A. Pasquevich, and Juliana Cassataro
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Science - Abstract
Abstract In the context of continuous emergence of SARS-CoV-2 variants of concern (VOCs), one strategy to prevent the severe outcomes of COVID-19 is developing safe and effective broad-spectrum vaccines. Here, we present preclinical studies of a RBD vaccine derived from the Gamma SARS-CoV-2 variant adjuvanted with Alum. The Gamma-adapted RBD vaccine is more immunogenic than the Ancestral RBD vaccine in terms of inducing broader neutralizing antibodies. The Gamma RBD presents more immunogenic B-cell restricted epitopes and induces a higher proportion of specific-B cells and plasmablasts than the Ancestral RBD version. The Gamma-adapted vaccine induces antigen specific T cell immune responses and confers protection against Ancestral and Omicron BA.5 SARS-CoV-2 challenge in mice. Moreover, the Gamma RBD vaccine induces higher and broader neutralizing antibody activity than homologous booster vaccination in mice previously primed with different SARS-CoV-2 vaccine platforms. Our study indicates that the adjuvanted Gamma RBD vaccine is highly immunogenic and a broad-spectrum vaccine candidate.
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- 2024
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11. Acoustic Analysis of Swallowing of an Experimental Meal of Three Food Textures: A Comparative Aging Study
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Baqué, Jean, Huret, Océane, Rayneau, Pierre, Schleich, Marianne, and Morinière, Sylvain
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- 2023
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12. Molecular profiling of stem cell-derived retinal pigment epithelial cell differentiation established for clinical translation
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Petrus-Reurer, Sandra, Lederer, Alex R, Baqué-Vidal, Laura, Douagi, Iyadh, Pannagel, Belinda, Khven, Irina, Aronsson, Monica, Bartuma, Hammurabi, Wagner, Magdalena, Wrona, Andreas, Efstathopoulos, Paschalis, Jaberi, Elham, Willenbrock, Hanni, Shimizu, Yutaka, Villaescusa, J Carlos, André, Helder, Sundstrӧm, Erik, Bhaduri, Aparna, Kriegstein, Arnold, Kvanta, Anders, La Manno, Gioele, and Lanner, Fredrik
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Biochemistry and Cell Biology ,Biological Sciences ,Neurodegenerative ,Stem Cell Research ,Regenerative Medicine ,Stem Cell Research - Embryonic - Human ,Macular Degeneration ,Eye Disease and Disorders of Vision ,Biotechnology ,Neurosciences ,Human Fetal Tissue ,Aging ,Transplantation ,1.1 Normal biological development and functioning ,5.2 Cellular and gene therapies ,Underpinning research ,Development of treatments and therapeutic interventions ,Eye ,Animals ,Cell Differentiation ,Human Embryonic Stem Cells ,Humans ,Retinal Pigment Epithelium ,Retinal Pigments ,Large-eyed model ,age-related macular degeneration ,cellular profiling and transcriptome ,cellular therapy ,clinical translation ,differentiation protocol dynamics ,human embryonic stem cell-derived retinal pigment epithelial cell ,retinal progenitor cells ,single-cell RNA sequencing ,subretinal injection ,Clinical Sciences ,Biochemistry and cell biology - Abstract
Human embryonic stem cell-derived retinal pigment epithelial cells (hESC-RPE) are a promising cell source to treat age-related macular degeneration (AMD). Despite several ongoing clinical studies, a detailed mapping of transient cellular states during in vitro differentiation has not been performed. Here, we conduct single-cell transcriptomic profiling of an hESC-RPE differentiation protocol that has been developed for clinical use. Differentiation progressed through a culture diversification recapitulating early embryonic development, whereby cells rapidly acquired a rostral embryo patterning signature before converging toward the RPE lineage. At intermediate steps, we identified and examined the potency of an NCAM1+ retinal progenitor population and showed the ability of the protocol to suppress non-RPE fates. We demonstrated that the method produces a pure RPE pool capable of maturing further after subretinal transplantation in a large-eyed animal model. Our evaluation of hESC-RPE differentiation supports the development of safe and efficient pluripotent stem cell-based therapies for AMD.
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- 2022
13. HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation
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Vasu, Subeesh, Talabot, Nicolas, Lukoianov, Artem, Baqué, Pierre, Donier, Jonathan, and Fua, Pascal
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence ,Computer Science - Computational Geometry - Abstract
Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives are particularly good at. In this paper, we propose a representation combining latent and explicit parameters that can be decoded into a set of deep implicit and geometric shapes that are consistent with each other. As a result, we can effectively model both complex and highly regular shapes that coexist in manufactured objects. This enables our approach to manipulate 3D shapes in an efficient and precise manner., Comment: 18 pages, 21 figures, 3DV 2022
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- 2021
14. Resilience of Xanthoria parietina under Mars-like conditions: photosynthesis and oxidative stress response
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Lorenz, Christian, Arena, Carmen, Vitale, Ermenegilda, Bianchi, Elisabetta, Poggiali, Giovanni, Alemanno, Giulia, Benesperi, Renato, Brucato, John Robert, Garland, Stephen, Helbert, Jörn, Loppi, Stefano, Lorek, Andreas, Maturilli, Alessandro, Papini, Alessio, de Vera, Jean-Pierre, and Baqué, Mickaël
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- 2024
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15. Confidence in visual detection, familiarity and recollection judgments is preserved in schizophrenia spectrum disorder
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Rouy, Martin, Pereira, Michael, Saliou, Pauline, Sanchez, Rémi, el Mardi, Wassila, Sebban, Hanna, Baqué, Eugénie, Dezier, Childéric, Porte, Perrine, Micaux, Julia, de Gardelle, Vincent, Mamassian, Pascal, Moulin, Chris J. A., Dondé, Clément, Roux, Paul, and Faivre, Nathan
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- 2023
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16. Survivability of the lichen Xanthoria parietina in simulated Martian environmental conditions
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Lorenz, Christian, Bianchi, Elisabetta, Poggiali, Giovanni, Alemanno, Giulia, Benesperi, Renato, Brucato, John Robert, Garland, Stephen, Helbert, Jörn, Loppi, Stefano, Lorek, Andreas, Maturilli, Alessandro, Papini, Alessio, de Vera, Jean-Pierre, and Baqué, Mickaël
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- 2023
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17. DeepMesh: Differentiable Iso-Surface Extraction
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Guillard, Benoit, Remelli, Edoardo, Lukoianov, Artem, Richter, Stephan R., Bagautdinov, Timur, Baque, Pierre, and Fua, Pascal
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Geometric Deep Learning has recently made striking progress with the advent of continuous deep implicit fields. They allow for detailed modeling of watertight surfaces of arbitrary topology while not relying on a 3D Euclidean grid, resulting in a learnable parameterization that is unlimited in resolution. Unfortunately, these methods are often unsuitable for applications that require an explicit mesh-based surface representation because converting an implicit field to such a representation relies on the Marching Cubes algorithm, which cannot be differentiated with respect to the underlying implicit field. In this work, we remove this limitation and introduce a differentiable way to produce explicit surface mesh representations from Deep Implicit Fields. Our key insight is that by reasoning on how implicit field perturbations impact local surface geometry, one can ultimately differentiate the 3D location of surface samples with respect to the underlying deep implicit field. We exploit this to define DeepMesh - an end-to-end differentiable mesh representation that can vary its topology. We validate our theoretical insight through several applications: Single view 3D Reconstruction via Differentiable Rendering, Physically-Driven Shape Optimization, Full Scene 3D Reconstruction from Scans and End-to-End Training. In all cases our end-to-end differentiable parameterization gives us an edge over state-of-the-art algorithms., Comment: arXiv admin note: substantial text overlap with arXiv:2006.03997
- Published
- 2021
18. Confidence in visual detection, familiarity and recollection judgments is preserved in schizophrenia spectrum disorder
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Martin Rouy, Michael Pereira, Pauline Saliou, Rémi Sanchez, Wassila el Mardi, Hanna Sebban, Eugénie Baqué, Childéric Dezier, Perrine Porte, Julia Micaux, Vincent de Gardelle, Pascal Mamassian, Chris J. A. Moulin, Clément Dondé, Paul Roux, and Nathan Faivre
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Psychiatry ,RC435-571 - Abstract
Abstract An effective way to quantify metacognitive performance is to ask participants to estimate their confidence in the accuracy of their response during a cognitive task. A recent meta-analysis1 raised the issue that most assessments of metacognitive performance in schizophrenia spectrum disorders may be confounded with cognitive deficits, which are known to be present in this population. Therefore, it remains unclear whether the reported metacognitive deficits are metacognitive in nature or rather inherited from cognitive deficits. Arbitrating between these two possibilities requires equating task performance between experimental groups. Here, we aimed to characterize metacognitive performance among individuals with schizophrenia across three tasks (visual detection, familiarity, recollection) using a within-subject design while controlling experimentally for intra-individual task performance and statistically for between-subject task performance. In line with our hypotheses, we found no metacognitive deficit for visual detection and familiarity judgments. While we expected metacognition for recollection to be specifically impaired among individuals with schizophrenia, we found evidence in favor of an absence of a deficit in that domain also. We found no specific metacognitive deficit in schizophrenia spectrum disorder in the visual or memory domain. The clinical relevance of our findings is discussed in light of a hierarchical framework of metacognition.
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- 2023
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19. Masksembles for Uncertainty Estimation
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Durasov, Nikita, Bagautdinov, Timur, Baque, Pierre, and Fua, Pascal
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Computer Science - Machine Learning ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Deep neural networks have amply demonstrated their prowess but estimating the reliability of their predictions remains challenging. Deep Ensembles are widely considered as being one of the best methods for generating uncertainty estimates but are very expensive to train and evaluate. MC-Dropout is another popular alternative, which is less expensive, but also less reliable. Our central intuition is that there is a continuous spectrum of ensemble-like models of which MC-Dropout and Deep Ensembles are extreme examples. The first uses an effectively infinite number of highly correlated models while the second relies on a finite number of independent models. To combine the benefits of both, we introduce Masksembles. Instead of randomly dropping parts of the network as in MC-dropout, Masksemble relies on a fixed number of binary masks, which are parameterized in a way that allows to change correlations between individual models. Namely, by controlling the overlap between the masks and their density one can choose the optimal configuration for the task at hand. This leads to a simple and easy to implement method with performance on par with Ensembles at a fraction of the cost. We experimentally validate Masksembles on two widely used datasets, CIFAR10 and ImageNet.
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- 2020
20. MeshSDF: Differentiable Iso-Surface Extraction
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Remelli, Edoardo, Lukoianov, Artem, Richter, Stephan R., Guillard, Benoît, Bagautdinov, Timur, Baque, Pierre, and Fua, Pascal
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Computer Science - Computer Vision and Pattern Recognition ,30L05 ,I.2.10 ,I.4.8 ,J.6 - Abstract
Geometric Deep Learning has recently made striking progress with the advent of continuous Deep Implicit Fields. They allow for detailed modeling of watertight surfaces of arbitrary topology while not relying on a 3D Euclidean grid, resulting in a learnable parameterization that is not limited in resolution. Unfortunately, these methods are often not suitable for applications that require an explicit mesh-based surface representation because converting an implicit field to such a representation relies on the Marching Cubes algorithm, which cannot be differentiated with respect to the underlying implicit field. In this work, we remove this limitation and introduce a differentiable way to produce explicit surface mesh representations from Deep Signed Distance Functions. Our key insight is that by reasoning on how implicit field perturbations impact local surface geometry, one can ultimately differentiate the 3D location of surface samples with respect to the underlying deep implicit field. We exploit this to define MeshSDF, an end-to-end differentiable mesh representation which can vary its topology. We use two different applications to validate our theoretical insight: Single-View Reconstruction via Differentiable Rendering and Physically-Driven Shape Optimization. In both cases our differentiable parameterization gives us an edge over state-of-the-art algorithms., Comment: 22 pages, 16 figures, Neural Information Processing Systems (NeurIPS 2020)
- Published
- 2020
21. Sub-surface H2S detection by a Surface Acoustic Wave passive wireless sensor interrogated with a ground penetrating radar
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Rabus, David, Friedt, Jean-Michel, Arapan, Lilia, Lamare, Simon, Baque, Marc, Audouin, Gregoire, and Cherioux, Frederic
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Physics - Applied Physics ,Physics - Instrumentation and Detectors - Abstract
Long-term monitoring of organic pollutants in the soil is a major environmental challenge. We propose to meet this issue by the development of a polymer dedicated to selectively react with H2S, coating surface acoustic wave transducers designed as passive cooperative targets with the compound, and probing their response using Ground Penetrating RADAR, thus providing the capability to monitor the presence of H2S in the subsurface environment. The selectivity is brought by including lead(II) cation in a reticulated polymer matrix which can be deposited as a thin layer on a surface acoustic wave sensor. We demonstrate a signal enhancement mechanism in which water absorption magnifies the signal detection, making the sensor most sensitive to H2S in an underground environment saturated with moisture., Comment: 13 pages including supplementary material
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- 2020
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22. Survivability of the lichen Xanthoria parietina in simulated Martian environmental conditions
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Christian Lorenz, Elisabetta Bianchi, Giovanni Poggiali, Giulia Alemanno, Renato Benesperi, John Robert Brucato, Stephen Garland, Jörn Helbert, Stefano Loppi, Andreas Lorek, Alessandro Maturilli, Alessio Papini, Jean-Pierre de Vera, and Mickaël Baqué
- Subjects
Medicine ,Science - Abstract
Abstract Xanthoria parietina (L.) Th. Fr. is a widely spread foliose lichen showing high tolerance against UV-radiation thanks to parietin, a secondary lichen substance. We exposed samples of X. parietina under simulated Martian conditions for 30 days to explore its survivability. The lichen’s vitality was monitored via chlorophyll a fluorescence that gives an indication for active light reaction of photosynthesis, performing in situ and after-treatment analyses. Raman spectroscopy and TEM were used to evaluate carotenoid preservation and possible variations in the photobiont’s ultrastructure respectively. Significant differences in the photo-efficiency between UV irradiated samples and dark-kept samples were observed. Fluorescence values correlated with temperature and humidity day-night cycles. The photo-efficiency recovery showed that UV irradiation caused significant effects on the photosynthetic light reaction. Raman spectroscopy showed that the carotenoid signal from UV exposed samples decreased significantly after the exposure. TEM observations confirmed that UV exposed samples were the most affected by the treatment, showing chloroplastidial disorganization in photobionts’ cells. Overall, X. parietina was able to survive the simulated Mars conditions, and for this reason it may be considered as a candidate for space long-term space exposure and evaluations of the parietin photodegradability.
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- 2023
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23. Correction to: Acoustic Analysis of Swallowing of an Experimental Meal of Three Food Textures: A Comparative Aging Study
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Baqué, Jean, Huret, Océane, Rayneau, Pierre, Schleich, Marianne, and Morinière, Sylvain
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- 2024
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24. Water and Energy Sustainability of Swimming Pools: A Case Model on the Costa Brava, Catalonia
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Juan-Jose Gomez-Guillen, Núria Arimany-Serrat, David Tapias Baqué, and David Giménez
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environmental sustainability ,environmental impact ,swimming pools ,climate change ,tourism ,hotels ,Hydraulic engineering ,TC1-978 ,Water supply for domestic and industrial purposes ,TD201-500 - Abstract
The aim of this research is to propose a more sustainable swimming pool, in terms of water and energy, in the Costa Brava area. The methodology is focused on the creation of a descriptive water and energy model for swimming pools and their monitoring, to propose the transition to a more sustainable swimming pool, in the context of climate change. The research is characterized by an exploratory, descriptive, and simulation approach to adapt swimming pools to the new requirements. Two significant impacts are highlighted from the perspective of water and energy stress—the carbon footprint, related to environmental impact and climate change, and the new business models of the sector, for a more sustainable tourism, with more sustainable pools. In terms of water balance, evaporation is an important variable and there are technical solutions on the market to control it, such as the use of covers. Furthermore, the modeling and simulation carried out helps to calculate the variable as a tool for improvement. For energy balance, in outdoor pools, pumping is an important variable and there are technologies, such as speed variation, that make it possible to reduce this. Furthermore, it should be noted that this research represents an important tool for the improvement of sustainability and operability for the various stakeholders, especially owners and governments, to face climate change, which is becoming increasingly critical for many regions.
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- 2024
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25. NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler
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Remelli, Edoardo, Baque, Pierre, and Fua, Pascal
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Most algorithms that rely on deep learning-based approaches to generate 3D point sets can only produce clouds containing fixed number of points. Furthermore, they typically require large networks parameterized by many weights, which makes them hard to train. In this paper, we propose an auto-encoder architecture that can both encode and decode clouds of arbitrary size and demonstrate its effectiveness at upsampling sparse point clouds. Interestingly, we can do so using less than half as many parameters as state-of-the-art architectures while still delivering better performance. We will make our code base fully available.
- Published
- 2019
26. Polycomb repressive complex 2 shields naïve human pluripotent cells from trophectoderm differentiation
- Author
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Kumar, Banushree, Navarro, Carmen, Winblad, Nerges, Schell, John P., Zhao, Cheng, Weltner, Jere, Baqué-Vidal, Laura, Salazar Mantero, Angelo, Petropoulos, Sophie, Lanner, Fredrik, and Elsässer, Simon J.
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- 2022
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27. Preoperative prognostic factors for obstructive colorectal cancer
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Etienne, Jean-Hubert, Salucki, Benjamin, Bereder, Jean-Marc, Massalou, Damien, Bentellis, Imad, Goetschy, Maïlys, and Baqué, Patrick
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- 2022
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28. Geodesic Convolutional Shape Optimization
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Baqué, Pierre, Remelli, Edoardo, Fleuret, François, and Fua, Pascal
- Subjects
Computer Science - Computational Engineering, Finance, and Science - Abstract
Aerodynamic shape optimization has many industrial applications. Existing methods, however, are so computationally demanding that typical engineering practices are to either simply try a limited number of hand-designed shapes or restrict oneself to shapes that can be parameterized using only few degrees of freedom. In this work, we introduce a new way to optimize complex shapes fast and accurately. To this end, we train Geodesic Convolutional Neural Networks to emulate a fluidynamics simulator. The key to making this approach practical is remeshing the original shape using a polycube map, which makes it possible to perform the computations on GPUs instead of CPUs. The neural net is then used to formulate an objective function that is differentiable with respect to the shape parameters, which can then be optimized using a gradient-based technique. This outperforms state- of-the-art methods by 5 to 20% for standard problems and, even more importantly, our approach applies to cases that previous methods cannot handle.
- Published
- 2018
29. Non-random genetic alterations in the cyanobacterium Nostoc sp. exposed to space conditions
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Yuguang Liu, Patricio Jeraldo, William Herbert, Samantha McDonough, Bruce Eckloff, Jean-Pierre de Vera, Charles Cockell, Thomas Leya, Mickael Baqué, Jin Jen, Dirk Schulze-Makuch, and Marina Walther-Antonio
- Subjects
Medicine ,Science - Abstract
Abstract Understanding the impact of long-term exposure of microorganisms to space is critical in understanding how these exposures impact the evolution and adaptation of microbial life under space conditions. In this work we subjected Nostoc sp. CCCryo 231-06, a cyanobacterium capable of living under many different ecological conditions, and also surviving in extreme ones, to a 23-month stay at the International Space Station (the Biology and Mars Experiment, BIOMEX, on the EXPOSE-R2 platform) and returned it to Earth for single-cell genome analysis. We used microfluidic technology and single cell sequencing to identify the changes that occurred in the whole genome of single Nostoc cells. The variant profile showed that biofilm and photosystem associated loci were the most altered, with an increased variant rate of synonymous base pair substitutions. The cause(s) of these non-random alterations and their implications to the evolutionary potential of single bacterial cells under long-term cosmic exposure warrants further investigation.
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- 2022
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30. Don du corps à la science et usages des corps à finalités pédagogiques et scientifiques : enjeux éthiques et perspectives pour demain
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Moutel, G., Destrieux, C., Suzat, B., Charvin, M., Baqué, P., Ploteau, S., Gouriot, M., and Grandazzi, G.
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- 2022
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31. Modern and synchronized clinical anatomy teaching based on the BDIE method (board–digital dissection–imaging–evaluation)
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Massalou, Damien, Bronsard, Nicolas, Hekayem, Laurent, Baqué, Patrick, and Camuzard, Olivier
- Published
- 2022
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32. Non-random genetic alterations in the cyanobacterium Nostoc sp. exposed to space conditions
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Liu, Yuguang, Jeraldo, Patricio, Herbert, William, McDonough, Samantha, Eckloff, Bruce, de Vera, Jean-Pierre, Cockell, Charles, Leya, Thomas, Baqué, Mickael, Jen, Jin, Schulze-Makuch, Dirk, and Walther-Antonio, Marina
- Published
- 2022
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33. The WILDTRACK Multi-Camera Person Dataset
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Chavdarova, Tatjana, Baqué, Pierre, Bouquet, Stéphane, Maksai, Andrii, Jose, Cijo, Lettry, Louis, Fua, Pascal, Van Gool, Luc, and Fleuret, François
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
People detection methods are highly sensitive to the perpetual occlusions among the targets. As multi-camera set-ups become more frequently encountered, joint exploitation of the across views information would allow for improved detection performances. We provide a large-scale HD dataset named WILDTRACK which finally makes advanced deep learning methods applicable to this problem. The seven-static-camera set-up captures realistic and challenging scenarios of walking people. Notably, its camera calibration with jointly high-precision projection widens the range of algorithms which may make use of this dataset. In aim to help accelerate the research on automatic camera calibration, such annotations also accompany this dataset. Furthermore, the rich-in-appearance visual context of the pedestrian class makes this dataset attractive for monocular pedestrian detection as well, since: the HD cameras are placed relatively close to the people, and the size of the dataset further increases seven-fold. In summary, we overview existing multi-camera datasets and detection methods, enumerate details of our dataset, and we benchmark multi-camera state of the art detectors on this new dataset.
- Published
- 2017
34. Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
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Baqué, Pierre, Fleuret, François, and Fua, Pascal
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
People detection in single 2D images has improved greatly in recent years. However, comparatively little of this progress has percolated into multi-camera multi-people tracking algorithms, whose performance still degrades severely when scenes become very crowded. In this work, we introduce a new architecture that combines Convolutional Neural Nets and Conditional Random Fields to explicitly model those ambiguities. One of its key ingredients are high-order CRF terms that model potential occlusions and give our approach its robustness even when many people are present. Our model is trained end-to-end and we show that it outperforms several state-of-art algorithms on challenging scenes.
- Published
- 2017
35. MIC: Microwave Imaging Curtain for Dynamic and Automatic Detection of Weapons and Explosive Belts
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Rémi Baqué, Luc Vignaud, Valentine Wasik, Nicolas Castet, Reinhold Herschel, Harun Cetinkaya, and Thomas Brandes
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ultra-wide band radar ,artificial intelligence ,3D radar ,MIMO radar ,counter-terrorism ,Chemical technology ,TP1-1185 - Abstract
DEXTER (detection of explosives and firearms to counter terrorism) is a project funded by NATO’s Science for Peace and Security (SPS) program with the goal of developing an integrated system capable of remotely and accurately detecting explosives and firearms in public places without impeding the flow of pedestrians. While body scanner systems in secure areas of public places are becoming more and more efficient, the attack at Brussels airport on 22 March 2016, upstream of these systems, in the middle of the crowd of passengers, demonstrated the lack of discreet and real-time security against threats of mass terrorism. The NATO-SPS international and multi-year DEXTER project aims to provide new technical and strategic solutions to fill this gap. This project is based on multi-sensor coordination and fusion, from hyperspectral remote laser to smart glasses, artificial algorithms, and suspect identification and tracking. One of these sensors is dedicated to threat detection (large weapon or explosive belt) using the clothing of pedestrians by means of an active microwave component. This project is referred to as MIC (Microwave Imaging Curtain), also supported by the French SGDSN (General Secretariat of Defense and National Security), and utilizes a radar system capable of generating 3D images in real-time to address non-checkpoint detection of explosives and firearms. The project, led by ONERA (France), is based on a radar imaging system developed by the Fraunhofer FHR institute, using a MIMO architecture with an Ultra-Wide Band waveform. Although high-resolution 3D microwave imaging is already being used in expensive body scanners to detect firearms concealed under clothing, MIC’s innovative approach lies in utilizing a high-resolution 3D imaging device that can detect larger dangerous objects carried by moving individuals at a longer range, in addition to providing discrete detection in pedestrian flow. Automatic detection and classification of these dangerous objects is carried out on 3D radar images using a deep-learning network. This paper will outline the project’s objectives and constraints, as well as the design, architecture, and performance of the final system. Additionally, it will present real-time imaging results obtained during a live demonstration in a relevant environment.
- Published
- 2023
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36. Preliminary evaluation of computer-assisted home training for French cochlear implant recipients.
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Sandrine Kerneis, John J Galvin, Stephanie Borel, Jean Baqué, Qian-Jie Fu, and David Bakhos
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Medicine ,Science - Abstract
For French cochlear implant (CI) recipients, in-person clinical auditory rehabilitation is typically provided during the first few years post-implantation. However, this is often inconvenient, it requires substantial time resources and can be problematic when appointments are unavailable. In response, we developed a computer-based home training software ("French AngelSound™") for French CI recipients. We recently conducted a pilot study to evaluate the newly developed French AngelSound™ in 15 CI recipients (5 unilateral, 5 bilateral, 5 bimodal). Outcome measures included phoneme recognition in quiet and sentence recognition in noise. Unilateral CI users were tested with the CI alone. Bilateral CI users were tested with each CI ear alone to determine the poorer ear to be trained, as well as with both ears (binaural performance). Bimodal CI users were tested with the CI ear alone, and with the contralateral hearing aid (binaural performance). Participants trained at home over a one-month period (10 hours total). Phonemic contrast training was used; the level of difficulty ranged from phoneme discrimination in quiet to phoneme identification in multi-talker babble. Unilateral and bimodal CI users trained with the CI alone; bilateral CI users trained with the poorer ear alone. Outcomes were measured before training (pre-training), immediately after training was completed (post-training), and one month after training was stopped (follow-up). For all participants, post-training CI-only vowel and consonant recognition scores significantly improved after phoneme training with the CI ear alone. For bilateral and bimodal CI users, binaural vowel and consonant recognition scores also significantly improved after training with a single CI ear. Follow-up measures showed that training benefits were largely retained. These preliminary data suggest that the phonemic contrast training in French AngelSound™ may significantly benefit French CI recipients and may complement clinical auditory rehabilitation, especially when in-person visits are not possible.
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- 2023
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37. Multi-Modal Mean-Fields via Cardinality-Based Clamping
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Baqué, Pierre, Fleuret, François, and Fua, Pascal
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Mean Field inference is central to statistical physics. It has attracted much interest in the Computer Vision community to efficiently solve problems expressible in terms of large Conditional Random Fields. However, since it models the posterior probability distribution as a product of marginal probabilities, it may fail to properly account for important dependencies between variables. We therefore replace the fully factorized distribution of Mean Field by a weighted mixture of such distributions, that similarly minimizes the KL-Divergence to the true posterior. By introducing two new ideas, namely, conditioning on groups of variables instead of single ones and using a parameter of the conditional random field potentials, that we identify to the temperature in the sense of statistical physics to select such groups, we can perform this minimization efficiently. Our extension of the clamping method proposed in previous works allows us to both produce a more descriptive approximation of the true posterior and, inspired by the diverse MAP paradigms, fit a mixture of Mean Field approximations. We demonstrate that this positively impacts real-world algorithms that initially relied on mean fields., Comment: Submitted for review to CVPR 2017
- Published
- 2016
38. Vascularization of the lateral and medial antebrachial cutaneous nerves by cutaneous perforator arteries: An anatomical study
- Author
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Cegarra-Escolano, M., Jaloux, C., Poumellec, M.-A., Balaguer, T., Baqué, P., Bronsard, N., and Camuzard, O.
- Published
- 2021
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39. Arterial grafts for proper palmar digital artery reconstruction: An anatomical study
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Remy, H., Locatelli, F., Maertens, A., Balaguer, T., Baqué, P., Bronsard, N., and Camuzard, O.
- Published
- 2021
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40. Principled Parallel Mean-Field Inference for Discrete Random Fields
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Baqué, Pierre, Bagautdinov, Timur, Fleuret, François, and Fua, Pascal
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Learning - Abstract
Mean-field variational inference is one of the most popular approaches to inference in discrete random fields. Standard mean-field optimization is based on coordinate descent and in many situations can be impractical. Thus, in practice, various parallel techniques are used, which either rely on ad-hoc smoothing with heuristically set parameters, or put strong constraints on the type of models. In this paper, we propose a novel proximal gradient-based approach to optimizing the variational objective. It is naturally parallelizable and easy to implement. We prove its convergence, and then demonstrate that, in practice, it yields faster convergence and often finds better optima than more traditional mean-field optimization techniques. Moreover, our method is less sensitive to the choice of parameters., Comment: The first two authors contributed equally
- Published
- 2015
41. A provably convergent alternating minimization method for mean field inference
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Baqué, Pierre, Hours, Jean-Hubert, Fleuret, François, and Fua, Pascal
- Subjects
Computer Science - Learning ,Mathematics - Optimization and Control - Abstract
Mean-Field is an efficient way to approximate a posterior distribution in complex graphical models and constitutes the most popular class of Bayesian variational approximation methods. In most applications, the mean field distribution parameters are computed using an alternate coordinate minimization. However, the convergence properties of this algorithm remain unclear. In this paper, we show how, by adding an appropriate penalization term, we can guarantee convergence to a critical point, while keeping a closed form update at each step. A convergence rate estimate can also be derived based on recent results in non-convex optimization., Comment: Submitted to Colt 2015
- Published
- 2015
42. Whole genome sequencing of cyanobacterium Nostoc sp. CCCryo 231-06 using microfluidic single cell technology
- Author
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Yuguang Liu, Patricio Jeraldo, William Herbert, Samantha McDonough, Bruce Eckloff, Dirk Schulze-Makuch, Jean-Pierre de Vera, Charles Cockell, Thomas Leya, Mickael Baqué, Jin Jen, and Marina Walther-Antonio
- Subjects
Microbiology ,Microbial genomics ,Space sciences ,Astrobiology ,Science - Abstract
Summary: The Nostoc sp. strain CCCryo 231-06 is a cyanobacterial strain capable of surviving under extreme conditions and thus is of great interest for the astrobiology community. The knowledge of its complete genome sequence would serve as a guide for further studies. However, a major concern has been placed on the effects of contamination on the quality of sequencing data without a reference genome. Here, we report the use of microfluidic technology combined with single cell sequencing and de novo assembly to minimize the contamination and recover the complete genome of the Nostoc strain CCCryo 231-06 with high quality. 100% of the whole genome was recovered with all contaminants removed and a strongly supported phylogenetic tree. The data reported can be useful for comparative genomics for phylogenetic and taxonomic studies. The method used in this work can be applied to studies that require high-quality assemblies of genomes of unknown microorganisms.
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- 2022
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43. Microvascular injuries, secondary edema, and inconsistencies in lung vascularization between affected and nonaffected pulmonary segments of non-critically ill hospitalized COVID-19 patients presenting with clinical deterioration
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Cécile Maincent, Christophe Perrin, Gilles Chironi, Marie. Baqué-Juston, Frédéric Berthier, Benoît Paulmier, Florent Hugonnet, Claire Dittlot, Ryan Lukas. Farhad, Julien Renvoise, Benjamin Serrano, Valérie Nataf, François Mocquot, Olivia Keita-Perse, Yann-Erik Claessens, and Marc Faraggi
- Subjects
Diseases of the respiratory system ,RC705-779 - Abstract
Purpose: We aimed to better understand the pathophysiology of SARS-CoV-2 pneumonia in non-critically ill hospitalized patients secondarily presenting with clinical deterioration and increase in oxygen requirement without any identified worsening factors. Methods: We consecutively enrolled patients without clinical or biological evidence for superinfection, without left ventricular dysfunction and for whom a pulmonary embolism was discarded by computed tomography (CT) pulmonary angiography. We investigated lung ventilation and perfusion (LVP) by LVP scintigraphy, and, 24 h later, left and right ventricular function by Tc-99m-labeled albumin-gated blood-pool scintigraphy with late (60 mn) tomographic albumin images on the lungs to evaluate lung albumin retention that could indicate microvascular injuries with secondary edema. Results: We included 20 patients with confirmed SARS-CoV-2 pneumonia. All had CT evidence of organizing pneumonia and normal left ventricular ejection fraction. No patient demonstrated preserved ventilation with perfusion defect (mismatch), which may discard a distal lung thrombosis. Patterns of ventilation and perfusion were heterogeneous in seven patients (35%) with healthy lung segments presenting a relative paradoxical hypoperfusion and hypoventilation compared with segments with organizing pneumonia presenting a relative enhancement in perfusion and preserved ventilation. Lung albumin retention in area of organizing pneumonia was observed in 12 patients (60%), indicating microvascular injuries, increase in vessel permeability, and secondary edema. Conclusion: In hospitalized non-critically ill patients without evidence of superinfection, pulmonary embolism, or cardiac dysfunction, various types of damage may contribute to clinical deterioration including microvascular injuries and secondary edema, inconsistencies in lung segments vascularization suggesting a dysregulation of the balance in perfusion between segments affected by COVID-19 and others. Summary Statement Microvascular injuries and dysregulation of the balance in perfusion between segments affected by COVID-19 and others are present in non-critically ill patients without other known aggravating factors. Key Results In non-critically ill patients without evidence of superinfection, pulmonary embolism, macroscopic distal thrombosis or cardiac dysfunction, various types of damage may contribute to clinical deterioration including 1/ microvascular injuries and secondary edema, 2/ inconsistencies in lung segments vascularization with hypervascularization of consolidated segments contrasting with hypoperfusion of not affected segments, suggesting a dysregulation of the balance in perfusion between segments affected by COVID-19 and others.
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- 2022
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44. Quality of life in subjects with upper- and lower-limb spasticity treated with incobotulinumtoxinA
- Author
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Klemens Fheodoroff, Tiina Rekand, Luisa Medeiros, Peter Koßmehl, Jörg Wissel, Djamel Bensmail, Astrid Scheschonka, Birgit Flatau-Baqué, Olivier Simon, Dirk Dressler, and David M. Simpson
- Subjects
Botulinum neurotoxin ,IncobotulinumtoxinA ,Long-term care ,Lower limb ,Quality of life ,Spasticity ,Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Abstract Background We evaluated quality of life among subjects with upper- and lower-limb spasticity who received escalating doses of incobotulinumtoxinA (total body doses up to 800 U) in the prospective, single-arm, dose-titration TOWER study. Methods In this exploratory trial, subjects (N = 155; 18–80 years of age) with upper- and lower-limb spasticity due to cerebral causes who were deemed to require total body doses of up to 800 U incobotulinumtoxinA received three consecutive injection cycles of incobotulinumtoxinA (400, 600, and up to 800 U), each with 12 to 16 weeks’ follow-up. QoL was assessed using the EuroQol 5-dimensions questionnaire, three-level (EQ-5D), before and 4 weeks post-injection in each injection cycle and at the end of injection cycle 3. Results The mean EQ-5D visual analog scale scores of 155 participants continuously improved from study baseline to 4 weeks post-injection in all injection cycles (mean [standard deviation] change 6.7 [14.1], 9.6 [16.3], and 8.6 [17.0] for injection cycles 1, 2, and 3, respectively; p
- Published
- 2020
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45. The assessment of gamma probe-assisted removal of intracranial meningioma
- Author
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D. Kalasauskas, P.-E. Baqué, H. Reber, J. Conrad, E. Schwandt, N. Keric, M. Schreckenberger, and F. Ringel
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2022
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46. Hesitations in Primary Progressive Aphasia
- Author
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Lorraine Baqué and María Jesús Machuca
- Subjects
fillers ,hesitations ,pauses ,primary progressive aphasia (PPA) ,Language and Literature - Abstract
Hesitations are often used by speakers in spontaneous speech not only to organise and prepare their speech but also to address any obstacles that may arise during delivery. Given the relationship between hesitation phenomena and motor and/or cognitive–linguistic control deficits, characterising the form of hesitation could be potentially useful in diagnosing specific speech and language disorders, such as primary progressive aphasia (PPA). This work aims to analyse the features of hesitations in patients with PPA compared to healthy speakers, with hesitations understood here as those related to speech planning, that is, silent or empty pauses, filled pauses, and lengthened syllables. Forty-three adults took part in this experiment, of whom thirty-two suffered from some form of PPA: thirteen from logopenic PPA (lvPPA), ten from nonfluent PPA (nfvPPA), and nine from semantic PPA (svPPA). The remaining 11 were healthy speakers who served as a control group. An analysis of audio data recorded when participants produced spontaneous speech for a picture description task showed that the frequency of silent pauses, especially those classified as long (>1000 ms) was particularly useful to distinguish PPA participants from healthy controls and also to differentiate among PPA types. This was also true, albeit to a lesser extent, of the frequency of filled pauses and lengthened syllables.
- Published
- 2023
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47. LA PROFESIONALIZACIÓN DOCENTE EN PERSPECTIVA CRÍTICO-GENEALÓGICA. EL CASO ESPAÑOL
- Author
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Juan Mainer Baqué
- Subjects
profesionalización docente. ,perspectiva crítico-genealógica. ,didáctica crítica. ,tecnoburocracia. ,totalcapitalismo. ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
En este trabajo se trata deesbozar algunas ideas sobre la construcción del oficio docente, desde una perspectiva crítico-genealógica, que nos permitan situarhistóricamente los actuales discursos y prácticas, de neta raigambre neoliberal, sobre la formación del profesorado, así comolos supuestos nuevos perfiles profesionales que se postulan y pretenden, en particular para la educación secundaria en España, enel marco de las políticas educativas del totalcapitalismo.
- Published
- 2019
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48. Mechanical effects of load speed on the human colon
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Massalou, D., Masson, C., Afquir, S., Baqué, P., Arnoux, P.-J., and Bège, T.
- Published
- 2019
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49. Exploiting Partial Solubility in Partially Fluorinated Thermoplastic Blends to Improve Adhesion during Fused Deposition Modeling
- Author
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Pau Saldaña-Baqué, Jared W. Strutton, Rahul Shankar, Sarah E. Morgan, and Jena M. McCollum
- Subjects
adhesion ,thermoplastic ,crystallinity ,fused deposition modeling ,injection molding ,tensile testing ,Technology ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Microscopy ,QH201-278.5 ,Descriptive and experimental mechanics ,QC120-168.85 - Abstract
This work studies the effect of interlayer adhesion on mechanical performance of fluorinated thermoplastics produced by fused deposition modeling (FDM). Here, we study the anisotropic mechanical response of 3D-printed binary blends of poly (vinylidene fluoride) (PVDF) and poly (methyl methacrylate) (PMMA) with the isotropic mechanical response of these blends fabricated via injection molding. Various PVDF/PMMA filament compositions were produced by twin-screw extrusion and, subsequently, injection-molded or 3D printed into dog-bone shapes. Specimen mechanical and thermal properties were evaluated by mode I tensile testing and differential scanning calorimetry, respectively. Results show that higher PMMA concentration not only improved the tensile strength and decreased ductility but reduced PVDF crystallization. As expected, injection-molded samples revealed better mechanical properties compared to 3D printed specimens. Interestingly, 3D printed blends with lower PMMA content demonstrated better diffusion (adhesion) across interfaces than those with a higher amount of PMMA. The present study provides new findings that may be used to tune mechanical response in 3D printed fluorinated thermoplastics, particularly for energy applications.
- Published
- 2022
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50. Terrorist attack in Nice – The experience of general surgeons
- Author
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Massalou, D., Ichai, C., Mariage, D., and Baqué, P.
- Published
- 2019
- Full Text
- View/download PDF
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