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2,335 results on '"Laurent, François"'

2. Variational inference of fractional Brownian motion with linear computational complexity

Author

Verdier, Hippolyte, Laurent, François, Cassé, Alhassan, Vestergaard, Christian, and Masson, Jean-Baptiste

Subjects
Computer Science - Machine Learning, Physics - Biological Physics, Physics - Data Analysis, Statistics and Probability, Quantitative Biology - Quantitative Methods
Abstract

We introduce a simulation-based, amortised Bayesian inference scheme to infer the parameters of random walks. Our approach learns the posterior distribution of the walks' parameters with a likelihood-free method. In the first step a graph neural network is trained on simulated data to learn optimized low-dimensional summary statistics of the random walk. In the second step an invertible neural network generates the posterior distribution of the parameters from the learnt summary statistics using variational inference. We apply our method to infer the parameters of the fractional Brownian motion model from single trajectories. The computational complexity of the amortized inference procedure scales linearly with trajectory length, and its precision scales similarly to the Cram{\'e}r-Rao bound over a wide range of lengths. The approach is robust to positional noise, and generalizes well to trajectories longer than those seen during training. Finally, we adapt this scheme to show that a finite decorrelation time in the environment can furthermore be inferred from individual trajectories.

Published
2022
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3. Listeria monocytogenes-associated spontaneous bacterial peritonitis in France: a nationwide observational study of 208 cases

Author

Abdou, Mohamed, Abdulhai, Ayman, Abdulhal, Ayman, Abel, Samy, Abergel, Armand, Aberrane, Saïd, Abraham, Bruno, Adler, Maxime, Agard, Christian, Agha-Mir, Ilhem, Aguilar, Claire, Agulles, Baptiste, Aldallal, Hamza, Alric, Laurent, Amiot, Xavier, Andrau, Pierre, Andrieux, Vladimir, Ansart, Séverine, Anty, Rodolphe, Archambeaud, Isabelle, Arem, Samir, Armand, Laurence, Aubailly, Lucie, Audibert, Juliette, Auguereau, Olivier, Auvray, Christelle, Aziz, Karime, Bachelier, Marie-Nadège, Bacquaert-Dufour, Karine, Badet, Françoise, Bahallah, Mohamed-Larbi, Balanant, Hélène, Baraduc, Régine, Bardis, Alexandre, Barraud, Olivier, Barrier, Jocelyn, Baudet, Antoine, Baumert, Thomas, Beaugerie, Laurent, Bébéar, Cécile, Becheur, Hakim, Bemer, Pascale, Benard, Caroline, Benezet, Marie-Pierre, Benmahammed, Mohammed, Bennouna, Jaafar, Benseddik, Zehaira, Bensimon, Pierre-Yves, Bental, Abdeslam, Berete, Aliou, Bergier, Jean-Michel, Berkani, Wacila, Bernardi, Franck, Bert, Frederic, Bertrou, Anne, Beuret, Pascal, Beurton-Chataigner, Isabelle, Beuscart, Claude, Beusnel, Christine, Bevilacqua, Sibylle, Beze, François, Bideau, Karine, Bidegain, Frédéric, Billon, Laura, Blaison, Gilles, Blanc, Michèle, Blanc, Pierre, Blanchi, Sophie, Blancho, Gilles, Bland, Stephane, Blondeau, Vincent, Boldron, Amale, Bon, Djemah, Bonacorsi, Stéphane, Bonzon, Lucas, Borderon, Anaïs, Botelho-Nevers, Elisabeth, Bottlaender, Jacques, Bouc-Boucher, Mathilde, Bouchaud, Olivier, Bougon, David, Boukelikha, Khaled, Bourlet, Thomas, Boussoukaya, Samy, Boutaleb, Hamza, Bouziges, Nicole, Bray, Philippe, Bréchet, Caroline, Bret, Laurent, Brieu, Nathalie, Briffaut, David, Brochet, Christine, Brulez-Des-Varannes, Stanislas, Brunel, Valéry, Brung-Lefebvre, Maud, Bureau, Christophe, Burucoa, Christophe, Buscail, Louis, Buzele, Rodolphe, Cadot, Catherine, Cadranel, Jean-Francois, Cady, Anne, Caillon, Jocelyne, Camiade, Sabine, Campillo, Bernard, Carbonnel, Franck, Carbonnelle, Etienne, Cardot-Martin, Émilie, Cariou, Marie-Estelle, Carles, Michel, Caron, Francois, Carrara-Delarue, Lucrecia, Carrier, Paul, Castang, Céline, Castellano, Inès, Cattoir, Vincent, Caubet, Olivier, Causse, Xavier, Chabrol, Amélie, Chanard, Emmanuel, Chatagnon, Thomas, Chazouilleres, Olivier, Chedanni, Halima, Chevrel, Pauline, Chirol, Catherine, Chirouze, Catherine, Chouquer, Renaud, Clavière, Christophe, Codreuil, Sylvain, Colardelle, Philippe, Combarnous, François, Commeau, Grégory, Cornillet, Anne, Corvec, Stephane, Costa, Yannick, Couderc, Philippe, Couffon, Caroline, Courivaud, Cécile, Courtade, Henri, Cruchant, Etienne, Cuen, David, Culard, Jean-François, Cung, Hong Ahn, Dahyot, Sandrine, D'Altéroche, Louis, Dao, Manh Thông, Darfeuil, Fabien, Darnaud, Céline, Daure, Sophie, De Grossouvre-Taillefer, Ludivine, Debriel, Dominique, Debrueres, Jacques, Decaens, Thomas, Decambron, Audrey, Decre-Grapinet, Dominique, Degand, Nicolas, Dehaye, Bruno, Delacour, Thierry, Delarbe, Jean-Marie, Delobel, Pierre, Delpierre, Éric, Delrez, René, Delvert, Didier, Demartino, Sylvie, Deniel, Marie-Clémence, Denis, Bernard, Derumeaux, Guy, Desroches, Marine, Dessein, Rodrigue, Devillez, Simon, Deweerdt, Didier, Diamantis, Sylvain, Diaz, Emmanuel, Didier, Raffenot, Dimartino, Vincent, Dion, Ludivine, Djemai, Mohand, Doche, Christophe, Donascimento, Maud, Dorval, Ian, Douala, Carol, Doucet-Populaire, Florence, Drouillat, Valérie, Dubée, Vincent, Dudermel, Anne-France, Dumont, Betty, Dupin, Clarisse, Dupont, Mathieu, Dupont, Philippe, Dupuy, Marion, Dupuychaffray, Jean-Pierre, Durand, Francois, Dusser, Pascale, Duval, Valérie, Duveau, Nicolas, El-Azouzi, Abdelghani, El-Gharras, Hynd, Elsendoorn, Antoine, Emile, Loïc, Epaulard, Olivier, Etchepare, Nicolas, Etienne, Jean-Pierre, Eveillard, Mathieu, Evers, Annie, Fach, Joelle, Faizoun, Claudia, Fangous, Marie-Sarah, Farmachidi, Jean Pierre, Fatome, Armelle, Faulques, Bernard, Faure, Karine, Felix, Charlotte, Ferec, Marc, Ferey, Janine, Ferracci, Serge, Feryn, Jean-Marc, Fesler, Pierre, Fiette, Hélène, Flevin, Emilie, Floch, Pauline, Fort, Eric, Fortineau, Nicolas, Fourcade, Jacques, Fraissinet, François, Franck, Patricia, Françoise, Thiebaut, Fratte, Serge, Galempoix, Jean-Marc, Garcera, Yves, Garcia, Anne, Garcon, Pierre, Garret, Charlotte, Gayet, Clement, Gazeau, Pierre, Gerber, Florence, Gilles, Raclot, Gillot, Jean-Michel, Goarant, Eric, Godreuil, Sylvain, Goret, Julien, Gorret, Julie, Goujard, Cecile, Goulenok, Thiphaine, Gournay, Jérôme, Gousseff, Marie, Goux, Alain, Graf, Emmanuelle, Grange, Jean-Didier, Gravet, Alain, Greder-Belan, Alix, Gronier, Olivier, Grosset, Marine, Guellouz, Sabra, Guenenna, Dalida, Guerbaa, Mohammed, Guerin, Meggie, Guerrot, Dominique, Guery, Benoit, Gugenheim, Jean, Guidet, Bertrand, Guiheneuf, Raphael, Guillet-Caruba, Christelle, Guimard, Yves, Guinard, Jérome, Guindre, Laure, Hagege, Albert, Hagege, Hervé, Haineaux, Paul-Arthur, Hamon, Rémy, Hassan, Firas, Hassine, Mélanie, Helie, Ludovic, Herber-Mayne, Anne, Hervio, Pascale, Héry-Arnaud, Geneviève, Hitoto, Hikombo, Hubsch, Théophile, Hunaut, Nicolas, Hurtova, Monika, Husson-Wetzel, Stéphanie, Hutin, Pascal, Izopet, Théo, Jacob, Jean-Louis, Jacomet, Christine, Jaffar-Bandjee, Marie-Christine, Janvier, Fréderic, Jaulhac, Benoît, Jaureguiberry, Stephane, Javaud, Nicolas, Jeannot, Katty, Joundy, Noureddine, Kacem, Moez, Karama, Rouis, Karsenti, David, Kempf, Marie, Khatibi, Sarah, Kikolski, Florence, Kittirath, Christine, Koch, Stephane, Kouatchet-Achille, Tchamba, Krummel, Yves, La Combe, Karine, Labarriere, Damien, Laberenne, Jean-Eric, Lacroix, Hervé, Ladrat, Laure, Lagarde, Stéphanie, Lagasse, Jean-Paul, Laggoune, Ahmed-Saïd, Lambare, Benedicte, Landgraf, Nathalie, Landraud, Luce, Laude, Jean-Francois, Laurent, François, Lavigne, Jean-Philippe, Lavoue, Vincent, Le Berre, Rozenn, Le Goff, Vallérie, Lebars, Hervé, Lebrun, Armandine, Lecapitaine, Anne-Lise, Lechat, Sylvie, Lecoustumier, Alain, Ledreau, Gérard, Lefevre, Benjamin, Leflon, Véronique, Lefort, Agnès, Legall, Florence, Legoff, Isabelle, Legrand, Eric, Lehello, Simon, Le-Henaff-Bourhis, Catherine, Leleu, Olivier, Lelievre, Lucie, Lemaignen, Adrien, Lemaire, Xavier, Le-Maout, Charles, Lemblé, Chantal, Lemeille, Yolande, Lemenand, Olivier, Lemeunier, Violaine, Lemeur, Yannick, Lemierre, Sylvia, Leotard, Sophie, Lepileur, Lucie, Letellier-Demonchy, Claire, Levecq, Hervé, Levy, Marc, Limal, Nicolas, Locher, Christophe, Lopez, Benjamin, Loron, Marie-Charlotte, Loulergue, Joelle, Loury-Larivière, Isabelle, Loustaud-Ratti, Véronique, Macchi, Valèrie, Machado, Moise, Madaule, Serge, Mainardi, Jean-Luc, Males, Silvija, Malherbe, Philippe, Maneglier, Benjamin, Marceau, Maryline, Marcel, Kévin, Marmonier, Alain, Martha, Benoît, Martin, Xavier, Martin-Blondel, Guillaume, Martinez, Camille, Marty, Fabrice, Marty, Patrick, Matray, Olivier, Maurin, Arnaud, Mazerand, Sandie, Mazouz, Nadia, Medevielle, Muriel, Mercat, Alain, Méreghetti, Laurent, Merzoug, Noureddine, Meziane, Ilham, Michaud, Anthony, Michel, Marc, Michel, Pierre, Mignard, Sophie, Milesi-Lecat, Anne-Marie, Mion, Mathieu, Mnasri, Nabil, Mohareb, Abdo, Mohib, Samir, Moindrot, Henri, Monlun, Eric, Montewis, Audrey, Morin, Thierry, Moussata, Driffa, Muller, Sandrine, Muzellec, Valérie, Nancey, Stéphane, Nassereddine, Ahmad, Naude, Sebastien, Neau, Didier, Ovidiu, Negru Calin, Ngo, Thuy, Ngwhotue, Marthe-Andree, Nivet, Patrick, Nordmann, Patrice, Nousbaum, Jean-Baptiste, Nouvel, Bernadette, Obled, Stephane, Oswald, Eric, Otto, Marie-Pierre, Pageaux, Georges-Philippe, Papin, Gregory, Parant, Fabrice, Patenotte, Arnaud, Paupard, Thierry, Pauwels, Arnaud, Pawlotsky, Jean Michel, Pelloux, Hervé, Perlemuter, Gabriel, Peron, Jean-Marie, Pestel-Caron, Martine, Peter, Natasha, Petillon, Sophie, Petit, Richard, Petitprez, Helene, Pettinelli, Francois, Phelip, Jean Marc, Philit, Jean-Baptiste, Phoutthasang, Valérie, Pialoux, Gilles, Piau-Couapel, Caroline, Pichard, Benoit, Pichon, Maxime, Picon-Coste, Magali, Picque, Marie, Pierson, Henri, Piques, Jean Francois, Piton, Béatrice, Planade, Orianne, Plassart, Claire, Plésiat, Patrick, Ploy, Marie-Cécile, Poubeau, Patrice, Pouderoux, Philippe, Pouedras, Pascal, Pourbaix, Annabelle, Poynard, Thierry, Preau, Florence, Pricope, Dumitrita, Queffelec, Gwenaëlle, Queneherve, Lucille, Quentin, Thomas, Raffenot, Didier, Rakotoniaina, Daniella, Ramanantsoa, Celine, Ramarijaona, Solofoniaina, Rami-Arab, Lila, Raulin, Olivia, Rebibou, Jean Michel, Renault, David, Rey, Philippe, Riche, Agnès, Rigaud, Jean Philippe, Rivière, Antoine, Rivière, Brigitte, Robert, Jérôme, Roblot, Pascal, Roger, Helene, Rolland, Christophe, Rondinaud, Emilie, Rosa-Hezode, Isabelle, Roubille, Martine, Rouquette, Olivier, Roux, Juliette, Ruimy, Raymond, Sachot-Ollivier, Sonia, Sailler, Laurent, Salamant, Sarah, Sarbu-Pop, Silvia, Sartre, Jacques, Schmitt, François, Scribe-Outtas, Myriam, Sefrioui, David, Sehouane, Rachid, Sekhri, Hacène, Serfaty, Lawrence, Sevin, Odile, Shawali, Cédric, Siladi, Souad, Silvain, Christine, Simon, Mireille, Simonet, Batiste, Sinayoko, Leila, Sirach, Estelle, Smati, Mustafa, Smets, Aurélie, Soltani, Dhaoui, Sommabere, André, Soulier-Guerin, Karine, Soulillou, Jean Paul, Soupison, Alain, Souply, Laurent, Soussy, Claude-James, Stampfli, Claire, Strullu, Bernard, Suatean, Diana, Tadjerouni, Nacer, Talarmin, Jean-Philippe, Tankovic, Jacques, Tarroun, Abdullah, Tchuenbou, Juliette, Teboul, Jean-Louis, Tedlaouti, Husni, Tellini, Charlotte, Thabut, Dominique, Thannberger, Philippe, Thiebault, Henri, Thiebaut, Françoise, Thomazeau, Joséphine, Tielman, Guillaume, Timsit, Jean-Francois, Tognon, Patrick, Tougeron, David, Toure, Fatouma, Tran, Albert, Tranvouez, Jean-Luc, Trésallet, Christophe, Trubert, Lise, Tsakiris, Laurent, Twizeyimana, Eterne, Vachee, Anne, Valade, Hélène, Valat, Isabelle, Vandendriessche, Anne, Vandermee, Nathalie, Vanheste, Marc, Varon, Emmanuelle, Vasse, Marc, Vasseur, Philippe, Vaucel, Elisabeth, Vauthier, Anne, Verdavaine-Loidreau, Delphine, Verdet, Charlotte, Verdon, Renaud, Vergnaud, Michel, Véziris, Nicolas, Vignaud, Guillaume, Viguier, Jérôme, Villemain, Marc, Villeneuve, Laurent, Vimont-Vicary, Alexandre, Vincent, Thomas, Vuillemenot, Jean-Baptiste, Walewski, Violaine, Warmoes, Elodie, Watry, Hélène, Weber, Jean-Christophe, Witz, Marie Thérèse, Woerther, Paul-Louis, Yazdanpanah, Yazdan, Zamfir, Oana, Zarka, Jonathan, Zavadil, Patrick, Zeboudj, Nabil, Zerbib, Franck, Blanchard, Florian, Henry, Benoît, Vijayaratnam, Sofieya, Canouï, Etienne, Moura, Alexandra, Thouvenot, Pierre, Bracq-Dieye, Hélène, Tessaud-Rita, Nathalie, Valès, Guillaume, Diakité, Andrée, Leclercq, Alexandre, Lecuit, Marc, and Charlier, Caroline

Published
2024
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4. CT Imaging Assessment of Response to Treatment in Allergic Bronchopulmonary Aspergillosis in Adults With Bronchial Asthma

Author

Mal, Hervé, Le Guen, Pierre, Dupin, Clairelyne, Meurice, Jean Claude, Verdaguer, Marion, de Keizer, Joe, Delétage-Métreau, Céline, Le Mao, Raphael, Tromer, Cécile, Fajole, Gaëlle, Rayez, Mélanie, Raymond, Christel Saint, Gheerbrant, Hubert, Badatcheff, Anne, Person, Christine, Macey, Julie, Dermant, Xavier, Boitiaux, Jean-François, Gosset-Woimant, Marine, Metz-Favre, Carine, Degot, Tristan, Poulet, Claire, Popin, Elisabeth, Gamez, Anne Sophie, Boissin, Clément, Prevotat, Anne, Mangiapan, Gilles, Brouquières, Danielle, Le Floch, Hervé, Morisse-Pradier, Hélène, Sattler, Caroline, Muti, Daniela, Germaud, Patrick, Dirou, Stéphanie, Paris, Audrey, Melloni, Boris, Ballouhey, Julia, Bondeelle, Louise, Laurent, Lucie, Belleguic, Chantal, Kerjouan, Mallorie, Deslée, Gaëtan, Dury, Sandra, Bergot, Emmanuel, Magnier, Romain, Morel, Hugues, Lemaire, Bertrand, Tumino, Cécile, Sénéchal, Agathe, Choinier, Pascaline, Parrot, Antoine, Godet, Cendrine, Brun, Anne-Laure, Couturaud, Francis, Laurent, François, Frat, Jean-Pierre, Marchand-Adam, Sylvain, Gagnadoux, Frédéric, Blanchard, Elodie, Taillé, Camille, Philippe, Bruno, Hirschi, Sandrine, Andréjak, Claire, Bourdin, Arnaud, Chenivesse, Cécile, Dominique, Stéphane, Murris-Espin, Marlène, Rivière, Frédéric, Garcia, Gilles, Blanc, François-Xavier, Goupil, François, Bergeron, Anne, Flament, Thomas, Priou, Pascaline, Ragot, Stéphanie, and Cadranel, Jacques

Published
2024
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5. Learning physical properties of anomalous random walks using graph neural networks

Author

Verdier, Hippolyte, Duval, Maxime, Laurent, François, Cassé, Alhassan, Vestergaard, Christian, and Masson, Jean-Baptiste

Subjects
Computer Science - Machine Learning, Physics - Biological Physics, Physics - Data Analysis, Statistics and Probability, Quantitative Biology - Quantitative Methods
Abstract

Single particle tracking allows probing how biomolecules interact physically with their natural environments. A fundamental challenge when analysing recorded single particle trajectories is the inverse problem of inferring the physical model or class of models of the underlying random walks. Reliable inference is made difficult by the inherent stochastic nature of single particle motion, by experimental noise, and by the short duration of most experimental trajectories. Model identification is further complicated by the fact that main physical properties of random walk models are only defined asymptotically, and are thus degenerate for short trajectories. Here, we introduce a new, fast approach to inferring random walk properties based on graph neural networks (GNNs). Our approach consists in associating a vector of features with each observed position, and a sparse graph structure with each observed trajectory. By performing simulation-based supervised learning on this construct [1], we show that we can reliably learn models of random walks and their anomalous exponents. The method can naturally be applied to trajectories of any length. We show its efficiency in analysing various anomalous random walks of biological relevance that were proposed in the AnDi challenge [2]. We explore how information is encoded in the GNN, and we show that it learns relevant physical features of the random walks. We furthermore evaluate its ability to generalize to types of trajectories not seen during training, and we show that the GNN retains high accuracy even with few parameters. We finally discuss the possibility to leverage these networks to analyse experimental data.

Published
2021
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6. Interpersonal citizenship behaviors: the role of passion for work in helping behaviors towards coworkers

Author

Laurent, François-Albert, Houlfort, Nathalie, and Malchelosse, Katherine

Subjects
Workers -- Psychological aspects -- Social aspects, Interpersonal relations -- Psychological aspects, Psychological research, Helping behavior -- Research, Psychology and mental health
Abstract

Interpersonal citizenship behaviors (ICB) act as social glue and facilitate processes in the everchanging and fast paced rhythm of today's work context. They also have the potential to spark an upward spiral of positivity, vigor, connectedness and reciprocity that would be beneficial to any organization. Research on its antecedents is therefore needed. Two studies were conducted using cross-sectional designs and structural equation modeling to examine the role of obsessive (OP) and harmonious (HP) passion for work (Dualistic model of passion; Vallerand et al., 2003 (See CR103)) as antecedents of Task (T-ICB) and Person (P-ICB) focused interpersonal citizenship behaviors (Settoon & Mossholder, 2002 (See CR90)), as well as potential contextual, motivational and relational mediators and moderators affecting this role. Results show that HP is positively correlated to both types of ICB via the influence of relationship quality (Study 1 and 2), while OP only has a direct positive relationship with T-ICB (Study 1). Our results extend current knowledge on the Dualistic model of passion by demonstrating that obsessive passion can lead to positive work-related outcomes by facilitating specific helping behaviors at work. These findings shed new light on how and why passionate workers may help their coworkers, and how obsessive and harmonious passion differ in accomplishing this., Author(s): François-Albert Laurent [sup.1] , Nathalie Houlfort [sup.1] , Katherine Malchelosse [sup.1] Author Affiliations: (1) grid.38678.32, 0000 0001 2181 0211, Psychology Department, Université du Québec à Montréal, , C.P. 8888, [...]

Published
2023
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8. Simulation of land use dynamics in Paragominas-PA: differences in spatial rules between smallholdings and agribusiness areas

Author

Osis, Reinis, Laurent, François, and Poccard-Chapuis, René

Subjects
Statistics - Applications
Abstract

The aim of this paper is to present the results of the land use dynamic simulations in the municipality of Paragominas-PA. The simulation is based on models built from past land use data and spatial variables of the natural environment and infrastructure. Two spatial units were analyzed: the central area of commercial agricultural production and the area of settlements and smallholdings the east. The results show distinct spatial dynamics between the analyzed areas, among which we highlight the role of soil characteristics and, associated with the topography and the occupation history, are part of the context in which is defined rationality producers. Considering the transition from forest to pasture in the commercial farming area most often associated soils are sandy. This raises the following hypothesis: the deforestation that occurred in the period are related to livestock activities. Livestock favors access to water and low fertility sands does not affect production. On the other hand, the soybean expansion occurred preferentially on existing pastures and on clay soils (Belterra clay), reducing the availability of pastures on these soils. The relative importance of types of soil increases with time. In the area of settlements, the transition from forest to pasture and family crops occurred preferentially on the variegated clay. However, it is possible that the prevalence of this transition on this texture has been given due more to the history of occupation of this area. Historically the sandy valleys were the first to be occupied, and the continuity of the deforestation occurred toward the slopes dominated by variegated clay and plateaus with Belterra clay. These associations observed indicate that, within a wider context of social, economic and political factors, natural variable factors in space are important for the choice of managements in the properties, but they are done differently in the territory, and the best knowledge of these relationships are useful for territorial planning., Comment: in Portuguese

Published
2019

10. Statistical Tests for Force Inference in Heterogeneous Environments

Author

Serov, Alexander S., Laurent, François, Floderer, Charlotte, Perronet, Karen, Favard, Cyril, Muriaux, Delphine, Vestergaard, Christian L., and Masson, Jean-Baptiste

Subjects
Physics - Biological Physics, Physics - Chemical Physics, Quantitative Biology - Biomolecules, Quantitative Biology - Quantitative Methods
Abstract

We devise a method to detect and estimate forces in a heterogeneous environment based on experimentally recorded stochastic trajectories. In particular, we focus on systems modeled by the heterogeneous overdamped Langevin equation. Here, the observed drift includes a "spurious" force term when the diffusivity varies in space. We show how Bayesian inference can be leveraged to reliably infer forces by taking into account such spurious forces of unknown amplitude as well as experimental sources of error. The method is based on marginalizing the force posterior over all possible spurious force contributions. The approach is combined with a Bayes factor statistical test for the presence of forces. The performance of our method is investigated analytically, numerically and tested on experimental data sets. The main results are obtained in a closed form allowing for direct exploration of their properties and fast computation. The method is incorporated into TRamWAy, an open-source software platform for automated analysis of biomolecule trajectories., Comment: Keywords: overdamped Langevin equation, Bayesian inference, inverse problems, biomolecule dynamics, It\^o-Stratonovich dilemma, random walks

Published
2019

15. Management of neuroendocrine neoplasms: conformity with guidelines in and outside a center of excellence

Author

Carole Morin, Keo-Morakort Benedetto, Agathe Deville, Laurent Milot, Aurélie Theillaumas, Valérie Hervieu, Mathieu Pioche, Gilles Poncet, Julien Forestier, Laurent François, Francoise Borson-Chazot, Mustapha Adham, Catherine Lombard-Bohas, and Thomas Walter

Subjects
neuroendocrine neoplasm, enets center of excellence, diagnostic management, conformity to clinical guidelines, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Purpose: To improve neuroendocrine neoplasm (NEN) management, the European Neuroendocrine Tumor Society (ENETS) recognised 62 Centers of Excellence (CoE). This retrospective study compares conformity of patients’ initial management within vs outside an ENETS CoE with clinical practice guidelines (CPGs). Methods: Patients diagnosed with a NEN between August 2018 and July 2020 and presented in the Lyon-CoE Multidisciplinary Tumour Board (MDT) were included. Factors potentially associated with the conformity of initial management (work-up and first treatment) to CPG underwent univariate and multivariate analyses. Results: Among the 615 included patients, 170 (27.6%) were initially managed in the CoE and 445 (72.4%) were only presented at the CoE-MDT. Patients in the CoE group more often had intestinal or pancreatic primaries, metastatic disease (61.8% vs 33%), hereditary syndrome, and a functioning tumour. Work-up conformity was 37.1% in the CoE (vs 29.9%, P = 0.09); this was 95.8% for the first treatment (vs 88.7%, P = 0.01). After multivariate analysis, CPG conformity was significantly higher for patients managed in the CoE, for younger patients, for those having a grade 1–2 tumour, and a genetic syndrome. Pancreatic and small intestinal (SI) NET surgeries performed in the CoE had a higher splenic preservation rate during left pancreatectomy, better detection of multiple tumours in SI surgeries, and higher number of resected lymph nodes. Conclusions: Given the widespread observance of CPG, not all patients require management in the CoE. Referral should be considered for more complex cases such as metastatic diseases, G2 tumours, or carcinoid syndromes. Finally, we should encourage the centralization of NET surgery.

Published
2022
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19. Listeria monocytogenes-associated spontaneous bacterial peritonitis in France: a nationwide observational study of 208 cases

Author

Blanchard, Florian, primary, Henry, Benoît, additional, Vijayaratnam, Sofieya, additional, Canouï, Etienne, additional, Moura, Alexandra, additional, Thouvenot, Pierre, additional, Bracq-Dieye, Hélène, additional, Tessaud-Rita, Nathalie, additional, Valès, Guillaume, additional, Diakité, Andrée, additional, Leclercq, Alexandre, additional, Lecuit, Marc, additional, Charlier, Caroline, additional, Abdou, Mohamed, additional, Abdulhai, Ayman, additional, Abdulhal, Ayman, additional, Abel, Samy, additional, Abergel, Armand, additional, Aberrane, Saïd, additional, Abraham, Bruno, additional, Adler, Maxime, additional, Agard, Christian, additional, Agha-Mir, Ilhem, additional, Aguilar, Claire, additional, Agulles, Baptiste, additional, Aldallal, Hamza, additional, Alric, Laurent, additional, Amiot, Xavier, additional, Andrau, Pierre, additional, Andrieux, Vladimir, additional, Ansart, Séverine, additional, Anty, Rodolphe, additional, Archambeaud, Isabelle, additional, Arem, Samir, additional, Armand, Laurence, additional, Aubailly, Lucie, additional, Audibert, Juliette, additional, Auguereau, Olivier, additional, Auvray, Christelle, additional, Aziz, Karime, additional, Bachelier, Marie-Nadège, additional, Bacquaert-Dufour, Karine, additional, Badet, Françoise, additional, Bahallah, Mohamed-Larbi, additional, Balanant, Hélène, additional, Baraduc, Régine, additional, Bardis, Alexandre, additional, Barraud, Olivier, additional, Barrier, Jocelyn, additional, Baudet, Antoine, additional, Baumert, Thomas, additional, Beaugerie, Laurent, additional, Bébéar, Cécile, additional, Becheur, Hakim, additional, Bemer, Pascale, additional, Benard, Caroline, additional, Benezet, Marie-Pierre, additional, Benmahammed, Mohammed, additional, Bennouna, Jaafar, additional, Benseddik, Zehaira, additional, Bensimon, Pierre-Yves, additional, Bental, Abdeslam, additional, Berete, Aliou, additional, Bergier, Jean-Michel, additional, Berkani, Wacila, additional, Bernardi, Franck, additional, Bert, Frederic, additional, Bertrou, Anne, additional, Beuret, Pascal, additional, Beurton-Chataigner, Isabelle, additional, Beuscart, Claude, additional, Beusnel, Christine, additional, Bevilacqua, Sibylle, additional, Beze, François, additional, Bideau, Karine, additional, Bidegain, Frédéric, additional, Billon, Laura, additional, Blaison, Gilles, additional, Blanc, Michèle, additional, Blanc, Pierre, additional, Blanchi, Sophie, additional, Blancho, Gilles, additional, Bland, Stephane, additional, Blondeau, Vincent, additional, Boldron, Amale, additional, Bon, Djemah, additional, Bonacorsi, Stéphane, additional, Bonzon, Lucas, additional, Borderon, Anaïs, additional, Botelho-Nevers, Elisabeth, additional, Bottlaender, Jacques, additional, Bouc-Boucher, Mathilde, additional, Bouchaud, Olivier, additional, Bougon, David, additional, Boukelikha, Khaled, additional, Bourlet, Thomas, additional, Boussoukaya, Samy, additional, Boutaleb, Hamza, additional, Bouziges, Nicole, additional, Bray, Philippe, additional, Bréchet, Caroline, additional, Bret, Laurent, additional, Brieu, Nathalie, additional, Briffaut, David, additional, Brochet, Christine, additional, Brulez-Des-Varannes, Stanislas, additional, Brunel, Valéry, additional, Brung-Lefebvre, Maud, additional, Bureau, Christophe, additional, Burucoa, Christophe, additional, Buscail, Louis, additional, Buzele, Rodolphe, additional, Cadot, Catherine, additional, Cadranel, Jean-Francois, additional, Cady, Anne, additional, Caillon, Jocelyne, additional, Camiade, Sabine, additional, Campillo, Bernard, additional, Carbonnel, Franck, additional, Carbonnelle, Etienne, additional, Cardot-Martin, Émilie, additional, Cariou, Marie-Estelle, additional, Carles, Michel, additional, Caron, Francois, additional, Carrara-Delarue, Lucrecia, additional, Carrier, Paul, additional, Castang, Céline, additional, Castellano, Inès, additional, Cattoir, Vincent, additional, Caubet, Olivier, additional, Causse, Xavier, additional, Chabrol, Amélie, additional, Chanard, Emmanuel, additional, Chatagnon, Thomas, additional, Chazouilleres, Olivier, additional, Chedanni, Halima, additional, Chevrel, Pauline, additional, Chirol, Catherine, additional, Chirouze, Catherine, additional, Chouquer, Renaud, additional, Clavière, Christophe, additional, Codreuil, Sylvain, additional, Colardelle, Philippe, additional, Combarnous, François, additional, Commeau, Grégory, additional, Cornillet, Anne, additional, Corvec, Stephane, additional, Costa, Yannick, additional, Couderc, Philippe, additional, Couffon, Caroline, additional, Courivaud, Cécile, additional, Courtade, Henri, additional, Cruchant, Etienne, additional, Cuen, David, additional, Culard, Jean-François, additional, Cung, Hong Ahn, additional, Dahyot, Sandrine, additional, D'Altéroche, Louis, additional, Dao, Manh Thông, additional, Darfeuil, Fabien, additional, Darnaud, Céline, additional, Daure, Sophie, additional, De Grossouvre-Taillefer, Ludivine, additional, Debriel, Dominique, additional, Debrueres, Jacques, additional, Decaens, Thomas, additional, Decambron, Audrey, additional, Decre-Grapinet, Dominique, additional, Degand, Nicolas, additional, Dehaye, Bruno, additional, Delacour, Thierry, additional, Delarbe, Jean-Marie, additional, Delobel, Pierre, additional, Delpierre, Éric, additional, Delrez, René, additional, Delvert, Didier, additional, Demartino, Sylvie, additional, Deniel, Marie-Clémence, additional, Denis, Bernard, additional, Derumeaux, Guy, additional, Desroches, Marine, additional, Dessein, Rodrigue, additional, Devillez, Simon, additional, Deweerdt, Didier, additional, Diamantis, Sylvain, additional, Diaz, Emmanuel, additional, Didier, Raffenot, additional, Dimartino, Vincent, additional, Dion, Ludivine, additional, Djemai, Mohand, additional, Doche, Christophe, additional, Donascimento, Maud, additional, Dorval, Ian, additional, Douala, Carol, additional, Doucet-Populaire, Florence, additional, Drouillat, Valérie, additional, Dubée, Vincent, additional, Dudermel, Anne-France, additional, Dumont, Betty, additional, Dupin, Clarisse, additional, Dupont, Mathieu, additional, Dupont, Philippe, additional, Dupuy, Marion, additional, Dupuychaffray, Jean-Pierre, additional, Durand, Francois, additional, Dusser, Pascale, additional, Duval, Valérie, additional, Duveau, Nicolas, additional, El-Azouzi, Abdelghani, additional, El-Gharras, Hynd, additional, Elsendoorn, Antoine, additional, Emile, Loïc, additional, Epaulard, Olivier, additional, Etchepare, Nicolas, additional, Etienne, Jean-Pierre, additional, Eveillard, Mathieu, additional, Evers, Annie, additional, Fach, Joelle, additional, Faizoun, Claudia, additional, Fangous, Marie-Sarah, additional, Farmachidi, Jean Pierre, additional, Fatome, Armelle, additional, Faulques, Bernard, additional, Faure, Karine, additional, Felix, Charlotte, additional, Ferec, Marc, additional, Ferey, Janine, additional, Ferracci, Serge, additional, Feryn, Jean-Marc, additional, Fesler, Pierre, additional, Fiette, Hélène, additional, Flevin, Emilie, additional, Floch, Pauline, additional, Fort, Eric, additional, Fortineau, Nicolas, additional, Fourcade, Jacques, additional, Fraissinet, François, additional, Franck, Patricia, additional, Françoise, Thiebaut, additional, Fratte, Serge, additional, Galempoix, Jean-Marc, additional, Garcera, Yves, additional, Garcia, Anne, additional, Garcon, Pierre, additional, Garret, Charlotte, additional, Gayet, Clement, additional, Gazeau, Pierre, additional, Gerber, Florence, additional, Gilles, Raclot, additional, Gillot, Jean-Michel, additional, Goarant, Eric, additional, Godreuil, Sylvain, additional, Goret, Julien, additional, Gorret, Julie, additional, Goujard, Cecile, additional, Goulenok, Thiphaine, additional, Gournay, Jérôme, additional, Gousseff, Marie, additional, Goux, Alain, additional, Graf, Emmanuelle, additional, Grange, Jean-Didier, additional, Gravet, Alain, additional, Greder-Belan, Alix, additional, Gronier, Olivier, additional, Grosset, Marine, additional, Guellouz, Sabra, additional, Guenenna, Dalida, additional, Guerbaa, Mohammed, additional, Guerin, Meggie, additional, Guerrot, Dominique, additional, Guery, Benoit, additional, Gugenheim, Jean, additional, Guidet, Bertrand, additional, Guiheneuf, Raphael, additional, Guillet-Caruba, Christelle, additional, Guimard, Yves, additional, Guinard, Jérome, additional, Guindre, Laure, additional, Hagege, Albert, additional, Hagege, Hervé, additional, Haineaux, Paul-Arthur, additional, Hamon, Rémy, additional, Hassan, Firas, additional, Hassine, Mélanie, additional, Helie, Ludovic, additional, Herber-Mayne, Anne, additional, Hervio, Pascale, additional, Héry-Arnaud, Geneviève, additional, Hitoto, Hikombo, additional, Hubsch, Théophile, additional, Hunaut, Nicolas, additional, Hurtova, Monika, additional, Husson-Wetzel, Stéphanie, additional, Hutin, Pascal, additional, Izopet, Théo, additional, Jacob, Jean-Louis, additional, Jacomet, Christine, additional, Jaffar-Bandjee, Marie-Christine, additional, Janvier, Fréderic, additional, Jaulhac, Benoît, additional, Jaureguiberry, Stephane, additional, Javaud, Nicolas, additional, Jeannot, Katty, additional, Joundy, Noureddine, additional, Kacem, Moez, additional, Karama, Rouis, additional, Karsenti, David, additional, Kempf, Marie, additional, Khatibi, Sarah, additional, Kikolski, Florence, additional, Kittirath, Christine, additional, Koch, Stephane, additional, Kouatchet-Achille, Tchamba, additional, Krummel, Yves, additional, La Combe, Karine, additional, Labarriere, Damien, additional, Laberenne, Jean-Eric, additional, Lacroix, Hervé, additional, Ladrat, Laure, additional, Lagarde, Stéphanie, additional, Lagasse, Jean-Paul, additional, Laggoune, Ahmed-Saïd, additional, Lambare, Benedicte, additional, Landgraf, Nathalie, additional, Landraud, Luce, additional, Laude, Jean-Francois, additional, Laurent, François, additional, Lavigne, Jean-Philippe, additional, Lavoue, Vincent, additional, Le Berre, Rozenn, additional, Le Goff, Vallérie, additional, Lebars, Hervé, additional, Lebrun, Armandine, additional, Lecapitaine, Anne-Lise, additional, Lechat, Sylvie, additional, Lecoustumier, Alain, additional, Ledreau, Gérard, additional, Lefevre, Benjamin, additional, Leflon, Véronique, additional, Lefort, Agnès, additional, Legall, Florence, additional, Legoff, Isabelle, additional, Legrand, Eric, additional, Lehello, Simon, additional, Le-Henaff-Bourhis, Catherine, additional, Leleu, Olivier, additional, Lelievre, Lucie, additional, Lemaignen, Adrien, additional, Lemaire, Xavier, additional, Le-Maout, Charles, additional, Lemblé, Chantal, additional, Lemeille, Yolande, additional, Lemenand, Olivier, additional, Lemeunier, Violaine, additional, Lemeur, Yannick, additional, Lemierre, Sylvia, additional, Leotard, Sophie, additional, Lepileur, Lucie, additional, Letellier-Demonchy, Claire, additional, Levecq, Hervé, additional, Levy, Marc, additional, Limal, Nicolas, additional, Locher, Christophe, additional, Lopez, Benjamin, additional, Loron, Marie-Charlotte, additional, Loulergue, Joelle, additional, Loury-Larivière, Isabelle, additional, Loustaud-Ratti, Véronique, additional, Macchi, Valèrie, additional, Machado, Moise, additional, Madaule, Serge, additional, Mainardi, Jean-Luc, additional, Males, Silvija, additional, Malherbe, Philippe, additional, Maneglier, Benjamin, additional, Marceau, Maryline, additional, Marcel, Kévin, additional, Marmonier, Alain, additional, Martha, Benoît, additional, Martin, Xavier, additional, Martin-Blondel, Guillaume, additional, Martinez, Camille, additional, Marty, Fabrice, additional, Marty, Patrick, additional, Matray, Olivier, additional, Maurin, Arnaud, additional, Mazerand, Sandie, additional, Mazouz, Nadia, additional, Medevielle, Muriel, additional, Mercat, Alain, additional, Méreghetti, Laurent, additional, Merzoug, Noureddine, additional, Meziane, Ilham, additional, Michaud, Anthony, additional, Michel, Marc, additional, Michel, Pierre, additional, Mignard, Sophie, additional, Milesi-Lecat, Anne-Marie, additional, Mion, Mathieu, additional, Mnasri, Nabil, additional, Mohareb, Abdo, additional, Mohib, Samir, additional, Moindrot, Henri, additional, Monlun, Eric, additional, Montewis, Audrey, additional, Morin, Thierry, additional, Moussata, Driffa, additional, Muller, Sandrine, additional, Muzellec, Valérie, additional, Nancey, Stéphane, additional, Nassereddine, Ahmad, additional, Naude, Sebastien, additional, Neau, Didier, additional, Ovidiu, Negru Calin, additional, Ngo, Thuy, additional, Ngwhotue, Marthe-Andree, additional, Nivet, Patrick, additional, Nordmann, Patrice, additional, Nousbaum, Jean-Baptiste, additional, Nouvel, Bernadette, additional, Obled, Stephane, additional, Oswald, Eric, additional, Otto, Marie-Pierre, additional, Pageaux, Georges-Philippe, additional, Papin, Gregory, additional, Parant, Fabrice, additional, Patenotte, Arnaud, additional, Paupard, Thierry, additional, Pauwels, Arnaud, additional, Pawlotsky, Jean Michel, additional, Pelloux, Hervé, additional, Perlemuter, Gabriel, additional, Peron, Jean-Marie, additional, Pestel-Caron, Martine, additional, Peter, Natasha, additional, Petillon, Sophie, additional, Petit, Richard, additional, Petitprez, Helene, additional, Pettinelli, Francois, additional, Phelip, Jean Marc, additional, Philit, Jean-Baptiste, additional, Phoutthasang, Valérie, additional, Pialoux, Gilles, additional, Piau-Couapel, Caroline, additional, Pichard, Benoit, additional, Pichon, Maxime, additional, Picon-Coste, Magali, additional, Picque, Marie, additional, Pierson, Henri, additional, Piques, Jean Francois, additional, Piton, Béatrice, additional, Planade, Orianne, additional, Plassart, Claire, additional, Plésiat, Patrick, additional, Ploy, Marie-Cécile, additional, Poubeau, Patrice, additional, Pouderoux, Philippe, additional, Pouedras, Pascal, additional, Pourbaix, Annabelle, additional, Poynard, Thierry, additional, Preau, Florence, additional, Pricope, Dumitrita, additional, Queffelec, Gwenaëlle, additional, Queneherve, Lucille, additional, Quentin, Thomas, additional, Raffenot, Didier, additional, Rakotoniaina, Daniella, additional, Ramanantsoa, Celine, additional, Ramarijaona, Solofoniaina, additional, Rami-Arab, Lila, additional, Raulin, Olivia, additional, Rebibou, Jean Michel, additional, Renault, David, additional, Rey, Philippe, additional, Riche, Agnès, additional, Rigaud, Jean Philippe, additional, Rivière, Antoine, additional, Rivière, Brigitte, additional, Robert, Jérôme, additional, Roblot, Pascal, additional, Roger, Helene, additional, Rolland, Christophe, additional, Rondinaud, Emilie, additional, Rosa-Hezode, Isabelle, additional, Roubille, Martine, additional, Rouquette, Olivier, additional, Roux, Juliette, additional, Ruimy, Raymond, additional, Sachot-Ollivier, Sonia, additional, Sailler, Laurent, additional, Salamant, Sarah, additional, Sarbu-Pop, Silvia, additional, Sartre, Jacques, additional, Schmitt, François, additional, Scribe-Outtas, Myriam, additional, Sefrioui, David, additional, Sehouane, Rachid, additional, Sekhri, Hacène, additional, Serfaty, Lawrence, additional, Sevin, Odile, additional, Shawali, Cédric, additional, Siladi, Souad, additional, Silvain, Christine, additional, Simon, Mireille, additional, Simonet, Batiste, additional, Sinayoko, Leila, additional, Sirach, Estelle, additional, Smati, Mustafa, additional, Smets, Aurélie, additional, Soltani, Dhaoui, additional, Sommabere, André, additional, Soulier-Guerin, Karine, additional, Soulillou, Jean Paul, additional, Soupison, Alain, additional, Souply, Laurent, additional, Soussy, Claude-James, additional, Stampfli, Claire, additional, Strullu, Bernard, additional, Suatean, Diana, additional, Tadjerouni, Nacer, additional, Talarmin, Jean-Philippe, additional, Tankovic, Jacques, additional, Tarroun, Abdullah, additional, Tchuenbou, Juliette, additional, Teboul, Jean-Louis, additional, Tedlaouti, Husni, additional, Tellini, Charlotte, additional, Thabut, Dominique, additional, Thannberger, Philippe, additional, Thiebault, Henri, additional, Thiebaut, Françoise, additional, Thomazeau, Joséphine, additional, Tielman, Guillaume, additional, Timsit, Jean-Francois, additional, Tognon, Patrick, additional, Tougeron, David, additional, Toure, Fatouma, additional, Tran, Albert, additional, Tranvouez, Jean-Luc, additional, Trésallet, Christophe, additional, Trubert, Lise, additional, Tsakiris, Laurent, additional, Twizeyimana, Eterne, additional, Vachee, Anne, additional, Valade, Hélène, additional, Valat, Isabelle, additional, Vandendriessche, Anne, additional, Vandermee, Nathalie, additional, Vanheste, Marc, additional, Varon, Emmanuelle, additional, Vasse, Marc, additional, Vasseur, Philippe, additional, Vaucel, Elisabeth, additional, Vauthier, Anne, additional, Verdavaine-Loidreau, Delphine, additional, Verdet, Charlotte, additional, Verdon, Renaud, additional, Vergnaud, Michel, additional, Véziris, Nicolas, additional, Vignaud, Guillaume, additional, Viguier, Jérôme, additional, Villemain, Marc, additional, Villeneuve, Laurent, additional, Vimont-Vicary, Alexandre, additional, Vincent, Thomas, additional, Vuillemenot, Jean-Baptiste, additional, Walewski, Violaine, additional, Warmoes, Elodie, additional, Watry, Hélène, additional, Weber, Jean-Christophe, additional, Witz, Marie Thérèse, additional, Woerther, Paul-Louis, additional, Yazdanpanah, Yazdan, additional, Zamfir, Oana, additional, Zarka, Jonathan, additional, Zavadil, Patrick, additional, Zeboudj, Nabil, additional, and Zerbib, Franck, additional

Published
2024
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20. CT Imaging Assessment of Response to Treatment in Allergic Bronchopulmonary Aspergillosis in Adults With Bronchial Asthma

Author

Godet, Cendrine, primary, Brun, Anne-Laure, additional, Couturaud, Francis, additional, Laurent, François, additional, Frat, Jean-Pierre, additional, Marchand-Adam, Sylvain, additional, Gagnadoux, Frédéric, additional, Blanchard, Elodie, additional, Taillé, Camille, additional, Philippe, Bruno, additional, Hirschi, Sandrine, additional, Andréjak, Claire, additional, Bourdin, Arnaud, additional, Chenivesse, Cécile, additional, Dominique, Stéphane, additional, Mangiapan, Gilles, additional, Murris-Espin, Marlène, additional, Rivière, Frédéric, additional, Garcia, Gilles, additional, Blanc, François-Xavier, additional, Goupil, François, additional, Bergeron, Anne, additional, Flament, Thomas, additional, Priou, Pascaline, additional, Mal, Hervé, additional, de Keizer, Joe, additional, Ragot, Stéphanie, additional, Cadranel, Jacques, additional, Le Guen, Pierre, additional, Dupin, Clairelyne, additional, Meurice, Jean Claude, additional, Verdaguer, Marion, additional, Delétage-Métreau, Céline, additional, Le Mao, Raphael, additional, Tromer, Cécile, additional, Fajole, Gaëlle, additional, Rayez, Mélanie, additional, Raymond, Christel Saint, additional, Gheerbrant, Hubert, additional, Badatcheff, Anne, additional, Person, Christine, additional, Macey, Julie, additional, Dermant, Xavier, additional, Boitiaux, Jean-François, additional, Gosset-Woimant, Marine, additional, Metz-Favre, Carine, additional, Degot, Tristan, additional, Poulet, Claire, additional, Popin, Elisabeth, additional, Gamez, Anne Sophie, additional, Boissin, Clément, additional, Prevotat, Anne, additional, Brouquières, Danielle, additional, Le Floch, Hervé, additional, Morisse-Pradier, Hélène, additional, Sattler, Caroline, additional, Muti, Daniela, additional, Germaud, Patrick, additional, Dirou, Stéphanie, additional, Paris, Audrey, additional, Melloni, Boris, additional, Ballouhey, Julia, additional, Bondeelle, Louise, additional, Laurent, Lucie, additional, Belleguic, Chantal, additional, Kerjouan, Mallorie, additional, Deslée, Gaëtan, additional, Dury, Sandra, additional, Bergot, Emmanuel, additional, Magnier, Romain, additional, Morel, Hugues, additional, Lemaire, Bertrand, additional, Tumino, Cécile, additional, Sénéchal, Agathe, additional, Choinier, Pascaline, additional, and Parrot, Antoine, additional

Published
2024
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22. LarvaTagger: manual and automatic tagging of Drosophila larval behaviour.

Author

Laurent, François, Blanc, Alexandre, May, Lilly, Gándara, Lautaro, Cocanougher, Benjamin T, Jones, Benjamin M W, Hague, Peter, Barré, Chloé, Vestergaard, Christian L, Crocker, Justin, Zlatic, Marta, Jovanic, Tihana, and Masson, Jean-Baptiste

Subjects
*ARTIFICIAL neural networks, *GRAPHICAL user interfaces, *VIDEO recording, *KNOWLEDGE transfer, *DROSOPHILA
Abstract

Motivation As more behavioural assays are carried out in large-scale experiments on Drosophila larvae, the definitions of the archetypal actions of a larva are regularly refined. In addition, video recording and tracking technologies constantly evolve. Consequently, automatic tagging tools for Drosophila larval behaviour must be retrained to learn new representations from new data. However, existing tools cannot transfer knowledge from large amounts of previously accumulated data. We introduce LarvaTagger, a piece of software that combines a pre-trained deep neural network, providing a continuous latent representation of larva actions for stereotypical behaviour identification, with a graphical user interface to manually tag the behaviour and train new automatic taggers with the updated ground truth. Results We reproduced results from an automatic tagger with high accuracy, and we demonstrated that pre-training on large databases accelerates the training of a new tagger, achieving similar prediction accuracy using less data. Availability and implementation All the code is free and open source. Docker images are also available. See gitlab.pasteur.fr/nyx/LarvaTagger.jl. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Longitudinal Evaluation of Bronchial Changes in Cystic Fibrosis Patients Undergoing Elexacaftor/Tezacaftor/Ivacaftor Therapy Using Lung MRI With Ultrashort Echo‐Times.

Author

David, Mathieu, Benlala, Ilyes, Bui, Stephanie, Benkert, Thomas, Berger, Patrick, Laurent, François, Macey, Julie, and Dournes, Gael

Subjects
CYSTIC fibrosis, FORCED expiratory volume, MAGNETIC resonance imaging, LUNGS, INTRACLASS correlation, ECHO-planar imaging
Abstract

Background: Lung magnetic resonance imaging (MRI) with ultrashort echo‐times (UTE‐MRI) allows high‐resolution and radiation‐free imaging of the lung structure in cystic fibrosis (CF). In addition, the combination of elexacaftor/tezacaftor/ivacaftor (ETI) has improved CF clinical outcomes such as need for hospitalization. However, the effect on structural disease still needs longitudinal evaluation at high resolution. Purpose: To analyze the effects of ETI on lung structural alterations using UTE‐MRI, with a focus on bronchiectasis reversibility. Study Type: Retrospective. Population: Fifty CF patients (mean age 24.3 ± 9.2; 23 males). Field Strength/Sequence: 1.5 T, UTE‐MRI. Assessment: All subjects completed both UTE‐MRI and pulmonary function tests (PFTs) during two annual visits (M0 and M12), and 30 of them completed a CT scan. They initiated ETI treatment after M0 within a maximum of 3 months from the annual examinations. Three observers scored a clinical MRI Bhalla score on UTE‐MRI. Bronchiectasis reversibility was defined as a reduction in both outer and inner bronchial dimensions. Correlations were searched between the Bhalla score and PFT such as the forced expiratory volume in 1 second percentage predicted (FEV1%p). Statistical Tests: Comparison was assessed using the paired t‐test, correlation using the Spearman correlation test with a significance level of 0.05. Concordance and reproducibility were assessed using intraclass correlation coefficient (ICC). Results: There was a significant improvement in MRI Bhalla score after ETI treatment. UTE‐MRI demonstrated bronchiectasis reversibility in a subgroup of 18 out of 50 CF patients (36%). These patients with bronchiectasis reversibility were significantly younger, with lower severity of wall thickening but no difference in mucus plugging extent (P = 0.39) was found. The reproducibility of UTE‐MRI evaluations was excellent (ICC ≥ 0.95), was concordant with CT scan (N = 30; ICC ≥ 0.90) and significantly correlated to FEV1% at PFT at M0 (N = 50; r = 0.71) and M12 (N = 50; r = 0.72). Data Conclusion: UTE‐MRI is a reproducible tool for the longitudinal follow‐up of CF patients, allowing to quantify the response to ETI and demonstrating the reversibility of some structural alterations such as bronchiectasis in a substantial fraction of this study population. Level of Evidence: 4 Technical Efficacy: Stage 2 [ABSTRACT FROM AUTHOR]

Published
2024
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33. GALERIE DES ILLUSTRES.

Author

CHAHINE, LOÏC, DUPUY, EMMANUEL, and LAURENT, FRANÇOIS

Subjects
MUSIC industry, CULTURAL industries, MUSICIANS
Abstract

The article offers information on three influential musicians and their works from the 19th century.

Published
2024

34. Non‐Contrast‐Enhanced Functional Lung MRI to Evaluate Treatment Response of Allergic Bronchopulmonary Aspergillosis in Patients With Cystic Fibrosis: A Pilot Study.

Author

Benlala, Ilyes, Klaar, Rabea, Gaass, Thomas, Macey, Julie, Bui, Stéphanie, Senneville, Baudouin Denis De, Berger, Patrick, Laurent, François, Dournes, Gael, and Dinkel, Julien

Subjects
PULMONARY aspergillosis, FUNCTIONAL magnetic resonance imaging, CYSTIC fibrosis, PULMONARY function tests, INTRACLASS correlation
Abstract

Background: Allergic bronchopulmonary aspergillosis (ABPA) in cystic fibrosis (CF) patients is associated with severe lung damage and requires specific therapeutic management. Repeated imaging is recommended to both diagnose and follow‐up response to treatment of ABPA in CF. However, high risk of cumulative radiation exposure requires evaluation of free‐radiation techniques in the follow‐up of CF patients with ABPA. Purpose: To evaluate whether Fourier decomposition (FD) functional lung MRI can detect response to treatment of ABPA in CF patients. Study Type: Retrospective longitudinal. Population: Twelve patients (7M, median‐age:14 years) with CF and ABPA with pre‐ and post‐treatment MRI. Field Strength/Sequence: 2D‐balanced‐steady‐state free‐precession (bSSFP) sequence with FD at 1.5T. Assessment: Ventilation‐weighted (V) and perfusion‐weighted (Q) maps were obtained after FD processing of 2D‐coronal bSSFP time‐resolved images acquired before and 3–9 months after treatment. Defects extent was assessed on the functional maps using a qualitative semi‐quantitative score (0 = absence/negligible, 1 = <50%, 2 = >50%). Mean and coefficient of variation (CV) of the ventilation signal‐intensity (VSI) and the perfusion signal‐intensity (QSI) were calculated. Measurements were performed independently by three readers and averaged. Inter‐reader reproducibility of the measurements was assessed. Pulmonary function tests (PFTs) were performed within 1 week of both MRI studies as markers of the airflow‐limitation severity. Statistical Tests: Comparisons of medians were performed using the paired Wilcoxon‐test. Reproducibility was assessed using intraclass correlation coefficient (ICC). Correlations between MRI and PFT parameters were assessed using the Spearman‐test (rho correlation‐coefficient). A P‐value <0.05 was considered as significant. Results: Defects extent on both V and Q maps showed a significant reduction after ABPA treatment (4.25 vs. 1.92 for V‐defect‐score and 5 vs. 2.75 for Q‐defect‐score). VSI_mean was significantly increased after treatment (280 vs. 167). Qualitative analyses reproducibility showed an ICC > 0.90, while the ICCs of the quantitative measurements was almost perfect (>0.99). Changes in VSI_cv and QSI_cv before and after treatment correlated inversely with changes of FEV1%p (rho = −0.68 for both). Data Conclusion: Non‐contrast‐enhanced FD lung MRI has potential to reproducibly assess response to treatment of ABPA in CF patients and correlates with PFT obstructive parameters. Evidence Level: 4 Technical Efficacy: Stage 3 [ABSTRACT FROM AUTHOR]

Published
2024
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35. Radiological Diagnosis of Pulmonary Aspergillosis.

Author

Laurent, François, Benlala, Ilyes, and Dournes, Gael

Subjects
*PULMONARY aspergillosis, *MAGNETIC resonance imaging, *CYSTIC fibrosis, *DIAGNOSIS, *LUNG diseases, *COMPUTED tomography
Abstract

Imaging plays an important role in the various forms of Aspergillus -related pulmonary disease. Depending on the immune status of the patient, three forms are described with distinct imaging characteristics: invasive aspergillosis affecting severely immunocompromised patients, chronic pulmonary aspergillosis affecting less severely immunocompromised patients but suffering from a pre-existing structural lung disease, and allergic bronchopulmonary aspergillosis related to respiratory exposure to Aspergillus species in patients with asthma and cystic fibrosis. Computed tomography (CT) has been demonstrated more sensitive and specific than chest radiographs and its use has largely contributed to the diagnosis, follow-up, and evaluation of treatment in each condition. In the last few decades, CT has also been described in the specific context of cystic fibrosis. In this particular clinical setting, magnetic resonance imaging and the recent developments in artificial intelligence have shown promising results. [ABSTRACT FROM AUTHOR]

Published
2024
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38. O IMPACTO DO USO DA TERRA SOBRE O BALANÇO HÍDRICO NA BACIA HIDROGRÁFICA DO RIO SANTA MARIA – OESTE DO RIO GRANDE DO SUL – BRASIL

Author

Trentin , Romário, Laurent , François, and Robaina , Luís Eduardo de Souza

Subjects
General Medicine
Abstract

Land use is undergoing rapid transformation in Rio Grande do Sul. The major transformations in the forms of land use have significantly contributed to the change in the water balance, and consequently in the flow of rivers. The present work aims to analyze the effect that land occupation has on the water balance in the Santa Maria whatershed. This whatershed has an area of 14,913 km² and is located in the southwestern portion of the state of Rio Grande do Sul, southern Brazil, on the border with the country of Uruguay, making up a significant area of the Pampa Biome. The methodology is based on the SWAT hydrological model (Soil & Water Assessment Tool), which is based on the calculation of the water balance in relation to climate, soil, slope, vegetation cover associated with hydrological response units, and on equations of transfer of flow in the aquifer and in the hydrological network. The results show that the contribution is quite different between the cultures and pastures present in the basin, since in addition to the specific contributions of the characteristics of the soils and slope of the basin, the way of handling the cultures allows great differences in the characteristics of the elements of the water balance. Changes in use, with the shift from native grassland areas to soybean or rice plantations, or even forestry, tend to have a significant impact on the water balance of the basin., O uso da terra encontra-se em fase de transformação rápida no Rio Grande do Sul. As grandes transformações nas formas de uso da terra têm contribuído significativamente para a mudança do balanço hídrico e, consequentemente, da vazão dos cursos d’água. O presente trabalho tem como objetivo analisar o efeito que a ocupação da terra, tem sobre o balaço hídrico na bacia hidrográfica do Rio Santa Maria. Essa bacia possui uma área de 14.913 km² e está localizada na porção sudoeste do estado do Rio Grande do Sul, região sul do Brasil, situando-se na divisa com o Uruguai, compondo uma significativa área do Bioma Pampa. A metodologia é baseada no modelo hidrológico SWAT (Soil & Water Assessment Tool), com um cálculo do balanço hídrico em relação ao clima, ao solo, à declividade, à cobertura vegetal, associados em unidades de resposta hidrológica, em equações de transferência do escoamento no aquífero e na rede hidrológica. Os resultados mostram que a contribuição é bastante diferenciada entre as culturas e as pastagens presentes na bacia, visto que, além das contribuições específicas das características dos solos e da declividade da bacia, a forma de manuseio das culturas possibilita grandes diferenças quanto às características dos elementos do balanço hídrico. As transformações do uso, com a mudança das áreas de campos nativos para as áreas de lavouras de soja ou arroz, ou ainda de silvicultura, tende a apresentar um significativo impacto no balanço hídrico da bacia.

Published
2023

39. O ESPAÇO RURAL BRASILEIRO NAS DUAS PRIMEIRAS DÉCADAS DO SÉCULO XXI: AVANÇOS E LIMITES DA TRANSIÇÃO AGROAMBIENTAL

Author

Diniz, Raphael Fernando, Hespanhol, Antonio Nivaldo, and Laurent, François

Subjects
General Medicine
Abstract

This article aims to assess the evolution of certain variables related to techniques and productive resources used in Brazilian farms, from the analysis of statistical data published in the 2006 and 2017 agricultural censuses of the Instituto Brasileiro de Geografia e Estatística (IBGE). The analysis was carried out on the scale of the five major regions and the 27 states of Brazil. To achieve this objective, a documentary and bibliographical research was carried out on the instruments instituted by the Brazilian State with the aim of promoting the agro-environmental transition over the last decades in the country. In addition, we analyzed the data from the 2006 and 2017 agricultural censuses on the use of agrochemicals, the use of machines and instruments, and the use of different production techniques on farms in the country. From the analysis of these data, we observed that the transition from a production paradigm based on the technological package of the green revolution to that to a model managed by ecological principles, techniques and practices is taking place in a very slow, limited, uneven way and permeated with ambiguities and contradictions in the Brazilian rural space. In this sense, it is verified that the adoption of positive agro-environmental practices requires the maintenance or expansion of the use of techniques and inputs harmful to natural resources and agrobiodiversity, in a process that is still mainly guided by an instrumentalist-technological and economic-productivist rationality, which, in certain socio-spatial contexts, begins to incorporate the precepts of other ecological and ecosocial rationalities., O objetivo deste artigo foi avaliar a evolução de algumas variáveis relacionadas às técnicas e recursos produtivos utilizados nos estabelecimentos agropecuários do país, com base em dados publicados nos Censos Agropecuários de 2006 e 2017 do Instituto Brasileiro de Geografia e Estatística (IBGE). O recorte espacial de investigação compreende as cinco grandes regiões geográficas do país e suas 27 unidades federativas. Para a consecução deste objetivo, realizou-se uma pesquisa documental e bibliográfica acerca dos instrumentos instituídos pelo Estado brasileiro com o propósito de se promover a transição agroambiental nas últimas décadas. Complementarmente, foram analisados os dados censitários relativos ao emprego de produtos agroquímicos, utilização de máquinas e implementos e o emprego de diferentes técnicas de produção nos estabelecimentos agropecuários brasileiros. A partir da análise destes dados, constatou-se que a transição de um paradigma de produção fundamentado no uso intensivo de insumos do pacote tecnológico da revolução verde para outro gerido por princípios, técnicas e práticas de base ecológica tem se realizado de forma bastante lenta, limitada, desigual e permeada por ambiguidades e contradições. Verifica-se, neste sentido, que a adoção de práticas agroambientais positivas se faz em meio à manutenção ou expansão do uso de técnicas e insumos nocivos aos recursos naturais e à agrobiodiversidade, em um processo ainda predominantemente orientado por uma racionalidade instrumentalista-tecnológica e econômico-produtivista, que, em determinados contextos socioespaciais, começa a incorporar preceitos de outras racionalidades ecológicas e ecossociais.&nbsp

Published
2023

41. Relationship Between Fibrosis Detected on Late Gadolinium-Enhanced Cardiac Magnetic Resonance and Re-Entrant Activity Assessed With Electrocardiographic Imaging in Human Persistent Atrial Fibrillation

Author

Cochet, Hubert, Dubois, Rémi, Yamashita, Seigo, Al Jefairi, Nora, Berte, Benjamin, Sellal, Jean-Marc, Hooks, Darren, Frontera, Antonio, Amraoui, Sana, Zemoura, Adlane, Denis, Arnaud, Derval, Nicolas, Sacher, Frederic, Corneloup, Olivier, Latrabe, Valérie, Clément-Guinaudeau, Stéphanie, Relan, Jatin, Zahid, Sohail, Boyle, Patrick M., Trayanova, Natalia A., Bernus, Olivier, Montaudon, Michel, Laurent, François, Hocini, Mélèze, Haïssaguerre, Michel, and Jaïs, Pierre

Published
2018
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44. Non‐Contrast‐Enhanced Functional Lung MRI to Evaluate Treatment Response of Allergic Bronchopulmonary Aspergillosis in Patients With Cystic Fibrosis: A Pilot Study

Author

Benlala, Ilyes, primary, Klaar, Rabea, additional, Gaass, Thomas, additional, Macey, Julie, additional, Bui, Stéphanie, additional, Senneville, Baudouin Denis De, additional, Berger, Patrick, additional, Laurent, François, additional, Dournes, Gael, additional, and Dinkel, Julien, additional

Published
2023
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45. Real Time MSE Ratio Monitoring Enables Early Bit Failure Detection and Delivers Rapid Decision-Making Tool to Drive Drilling Performance

Author

Krikor, Ara, additional, Bimastianto, Paulinus Abhyudaya, additional, Khambete, Shreepad Purushottam, additional, Cotten, Michael Bradley, additional, Toader, Lucian, additional, Landaeta Rivas, Fernando Jose, additional, Duivala, Shahid Yakubbhai, additional, Mughal, Muhammad Idrees, additional, Al Ameri, Suhail Mohammed, additional, AlMarzooqi, Adel AbdulRahman, additional, Chevallier, Bertrand, additional, Vallet, Laurent François, additional, Ullah, Nadeem Hidayat, additional, Qadir, Ahsan, additional, Al Khufash, Hassan Walid, additional, Shareef, Raneef Mohamed, additional, and Ul Islam, Muhammad Ashar, additional

Published
2023
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49. Real Time MSE Ratio Monitoring Enables Early Bit Failure Detection and Delivers Rapid Decision-Making Tool to Drive Drilling Performance

Author

Ara Krikor, Paulinus Abhyudaya Bimastianto, Shreepad Purushottam Khambete, Michael Bradley Cotten, Lucian Toader, Fernando Jose Landaeta Rivas, Shahid Yakubbhai Duivala, Muhammad Idrees Mughal, Suhail Mohammed Al Ameri, Adel AbdulRahman AlMarzooqi, Bertrand Chevallier, Laurent François Vallet, Nadeem Hidayat Ullah, Ahsan Qadir, Hassan Walid Al Khufash, Raneef Mohamed Shareef, and Muhammad Ashar Ul Islam

Abstract

Digital Twin has become pillar of Oil and Gas industry. Previously, there was no solution / tool available to detect early bit failure, therefore Real Time Operations Centre (RTOC) team decided to develop and implement Mechanical Specific Energy (MSE) Ratio in real time to detect drilling dysfunctions and consequently prevent Non-Productive Time (NPT). The paper aims to demonstrate how MSE ratio helps to enhance the performance efficiency in real time while drilling operation. RTOC aggregates data from all the operational Rigs in real time and digital twin solution was developed to compute MSE Ratio in real time from downhole and surface MSE. Automated Machine Learning workflows compute downhole Weight on Bit and downhole Torque to compute downhole MSE. Surface MSE is automatically computed based on surface parameters. Output is filtered with Machine Learning Rig State workflow to avoid any false computation. The algorithmic outputs are calculated in time dataset and then converted to depth-based data in real time. Trend analysis of outputs will help to identify inefficiency and take decision on time. The Dynamic Solution can be used as smart drilling decision tool to detect bit performance abnormality and to enhance the efficiency for drilling operation. Trend of MSE Ratio output has helped to identify the bit failure in real time which further paves the way to decide bit trip and optimize the performance of the well. Case Study will demonstrate where trend of MSE ratio reached below the defined baseline and provided alert for potential bit failure. Bit trip was performed and based on bit dull grading, it was decided to run with new bit. MSE ratio observed on the new bit reached back to normal trend as per defined baseline. New bit was able to drill and complete the section within the plan. This tool has been implemented successfully on all the operational Rigs to monitor performance in real time and can help to take decisions to safeguarding and optimize the performance of the sections and well. Trend analysis of MSE Ratio along with other parameters can help to detect inefficiency and optimize rate of penetration (ROP) in real time. This innovative approach of using MSE Ratio can help to build new digital twin solutions and enhance utilization of MSE output. Machine Learning workflows leverages the objective of digital drilling transformation and to optimize drilling efficiency in real time. Output helps to improve performance and prevent unwanted events. Solution can be further enhanced to detect other drilling dysfunctions and define efficiency roadmap with the combination of Drilling Strength.

Published
2023

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