37 results on '"Bouet, Marinette"'
Search Results
2. Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials
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Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Boutron, Isabelle, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Cohen-Boulakia, Sarah, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Ferrand, Gabriel, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Ravaud, Philippe, Ripoll, Pierre, Riveros, Carolina, Rivière, Philippe, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Vuillemot, Romain, Xia, Jun, Yu, Xuan, Zoletic, Emina, Zweigenbaum, Pierre, Nguyen, Van Thu, and Barnier, Julien
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- 2021
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3. Revisiting the Effects of Gender Diversity in Small Groups on Divergent Thinking: A Large-Scale Study Using Synchronous Electronic Brainstorming
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Laurine Peter, Nicolas Michinov, Maud Besançon, Estelle Michinov, Jacques Juhel, Genavee Brown, Eric Jamet, Anthony Cherbonnier, ProFAN Consortium, Batruch Anatolia, Butera Fabrizio, Desrichard Olivier, Mella-Barraco Nathalie, Visintin Emilio Paolo, Brown Genavee, Bressan Marco, Poletti Céline, Régner Isabelle, Vives Eva, Bressoux Pascal, De Place Anne-Laure, Pansu Pascal, Riant Mathilde, Sanrey Camille, Cherbonnier Anthony, Goron Luc, Hemon Brivael, Jamet Eric, Michinov Estelle, Michinov Nicolas, Peter Laurine, Darnon Céline, Demolliens Marie, Huguet Pascal, Robert Anais, Stanczak Arnaud, Bouet Marinette, Cepeda Carlos, Ducros Théo, Martinez Ruben, Mazenod Vincent, Petitcollot Benoit, Toumani Farouk, and Vilmin Simon
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gender diversity ,electronic brainstorming ,collaborative creativity ,idea generation ,divergent thinking ,“solo” groups ,Psychology ,BF1-990 - Abstract
Numerous studies have examined the effects of gender diversity in groups on creative performance, and no clear effect has been identified. Findings depend on situational cues making gender diversity more or less salient in groups. A large-scale study on two cohorts (N = 2,261) was conducted among business students to examine the impact of the gender diversity in small groups on divergent thinking in an idea-generation task performed by synchronous electronic brainstorming. Participants were automatically randomized in three- or four-member groups to generate ideas during 10 min on a gendered or neutral task. Then, five categories of groups where the proportion of men/women in groups varied from three/four men to three/four women were compared to examine creative performance on three divergent thinking measures (fluency, flexibility, and originality). A Multivariate Generalized Linear Mixed Model (mGLMM) showed greater fluency in all-women groups than in other groups (except mixed-gender groups composed of two men and two women), and more specifically “solo” groups composed of a single woman/man among a majority of men/women. For flexibility and originality, the superiority of all-women groups was found only in comparison to “solo” groups composed of a single woman. As gender differences are more salient in “solo” groups than in other groups faultlines may appear in groups, leading to a deleterious impact on creative performance.
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- 2021
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4. Formal Modeling and Analysis of Home Care Plans
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Gani, Kahina, Bouet, Marinette, Schneider, Michel, Toumani, Farouk, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Franch, Xavier, editor, Ghose, Aditya K., editor, Lewis, Grace A., editor, and Bhiri, Sami, editor
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- 2014
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5. New Image Retrieval Principle: Image Mining and Visual Ontology
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Bouet, Marinette, Aufaure, Marie-Aude, Petrushin, Valery A., editor, and Khan, Latifur, editor
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- 2007
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6. Revisiting the Effects of Gender Diversity in Small Groups on Divergent Thinking: A Large-Scale Study Using Synchronous Electronic Brainstorming
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Peter, Laurine, Michinov, Nicolas, Besançon, Maud, Michinov, Estelle, Juhel, Jacques, Brown, Genavee, Jamet, Eric, Cherbonnier, Anthony, ProFAN Consortium, Batruch, Anatolia, Butera, Fabrizio, Desrichard, Olivier, Mella-Barraco, Nathalie, Visintin, Emilio Paolo, Bressan, Marco, Poletti, Céline, Régner, Isabelle, Vives, Eva, Bressoux, Pascal, De Place, Anne-Laure, Pansu, Pascal, Riant, Mathilde, Sanrey, Camille, Goron, Luc, Hemon, Brivael, Darnon, Céline, Demolliens, Marie, Huguet, Pascal, Robert, Anais, Stanczak, Arnaud, Bouet, Marinette, Cepeda, Carlos, Ducros, Théo, Martinez, Ruben, Mazenod, Vincent, Petitcollot, Benoit, Toumani, Farouk, and Vilmin, Simon
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C800 - Abstract
Numerous studies have examined the effects of gender diversity in groups on creative performance, and no clear effect has been identified. Findings depend on situational cues making gender diversity more or less salient in groups. A large-scale study on two cohorts (N = 2,261) was conducted among business students to examine the impact of the gender diversity in small groups on divergent thinking in an idea-generation task performed by synchronous electronic brainstorming. Participants were automatically randomized in three- or four-member groups to generate ideas during 10 min on a gendered or neutral task. Then, five categories of groups where the proportion of men/women in groups varied from three/four men to three/four women were compared to examine creative performance on three divergent thinking measures (fluency, flexibility, and originality). A Multivariate Generalized Linear Mixed Model (mGLMM) showed greater fluency in all-women groups than in other groups (except mixed-gender groups composed of two men and two women), and more specifically “solo” groups composed of a single woman/man among a majority of men/women. For flexibility and originality, the superiority of all-women groups was found only in comparison to “solo” groups composed of a single woman. As gender differences are more salient in “solo” groups than in other groups faultlines may appear in groups, leading to a deleterious impact on creative performance.
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- 2021
7. Weak-Subsumption in the EL-Description Logic with Refreshing Variables
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Ducros, Théo, Bouet, Marinette, Toumani, Farouk, Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Ducros, Théo, and Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)
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[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO] ,[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO] ,[INFO]Computer Science [cs] ,[INFO] Computer Science [cs] ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
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- 2021
8. Formal Modeling and Analysis of Home Care Plans
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Gani, Kahina, primary, Bouet, Marinette, additional, Schneider, Michel, additional, and Toumani, Farouk, additional
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- 2014
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9. Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials
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Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, and Zweigenbaum, Pierre
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Epidemiology - Abstract
Objectives: Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluated. Study Design and Setting: We performed a living mapping of RCTs registered in the WHO International Clinical Trials Registry Platform. We systematically search the platform every week for all RCTs evaluating preventive interventions and treatments for COVID-19 and created a publicly available interactive mapping tool at https://covid-nma.com to visualize all trials registered. Results: By August 12, 2020, 1,568 trials for COVID-19 were registered worldwide. Overall, the median ([Q1–Q3]; range) delay between the first case recorded in each country and the first RCT registered was 47 days ([33–67]; 15–163). For the 9 countries with the highest number of trials registered, most trials were registered after the peak of the epidemic (from 100% trials in Italy to 38% in the United States). Most trials evaluated treatments (1,333 trials; 85%); only 223 (14%) evaluated preventive strategies and 12 postacute period intervention. A total of 254 trials were planned to assess different regimens of hydroxychloroquine with an expected sample size of 110,883 patients. Conclusion: This living mapping analysis showed that COVID-19 trials have relatively small sample size with certain redundancy in research questions. Most trials were registered when the first peak of the pandemic has passed.
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- 2021
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10. Reasoning in EL-Description Logic with Refreshing Variables
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Ducros, Théo, Bouet, Marinette, Toumani, Farouk, Ducros, Théo, Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS), EFRAN-PROFAN-LIMOS, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), and Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])
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TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES ,[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO] ,TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS ,[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO] ,[INFO]Computer Science [cs] ,[INFO] Computer Science [cs] ,ComputingMilieux_MISCELLANEOUS - Abstract
Description logics have been widely studied and used in several knowledge-based systems. They allow to model knowledge and more importantly to reason over it. Subsumption relationship, a hierarchical relationship between concepts, is one of the most common reasoning task. Matching and unification generalize subsumption to description involving variables. In this paper, we study the problem of reasoning in description logics with variables. More specifically, we consider refreshing semantics for variables in the context of the EL description logic. We investigate a particular reasoning mechanism, namely weak subsumption, which can be viewed as a generalization of matching and unification in presence of refreshing variables. We show that weak-subsumption is EXPTIME-complete. Our main technical results are derived by establishing a correspondence between this logic and variable automata.
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- 2021
11. Visual and textual content based indexing and retrieval
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Djeraba, Chabane, Bouet, Marinette, Briand, Henri, and Khenchaf, Ali
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- 2000
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12. Pattern Mining and Clustering on Image Databases
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Bouet, Marinette, primary, Gançarski, Pierre, additional, Aufaure, Marie-Aude, additional, and Boussaïd, Omar, additional
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- 2009
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13. Pattern Mining and Clustering on Image Databases
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Bouet, Marinette, primary, Gançarski, Pierre, additional, and Boussaïd, Omar, additional
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- 2008
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14. AMISIA: A multidisciplinary approach for the secondary prevention of the loss of autonomy for patients with traumatic brain injury and stroke
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Mandigout, Stéphane, Perrochon, Anaïck, Fernandez, Laure, Rezzoug, Nasser, Encelle, Benoît, Kanellos, Ioannis, Bricard, Damien, Bouet, Marinette, Shneider, Michel, BUFFAT, Stéphane, Handicap, Activité, Vieillissement, Autonomie, Environnement (HAVAE), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Biomodélisation et Ingénierie des Handicaps - EA 4322 (HANDIBIO), Université de Toulon (UTLN), Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Cognition and Action Group (COGNAC-G - UMR 8257), École normale supérieure - Cachan (ENS Cachan)-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Sorbonne Universités, Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS)
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multidimensional data collection ,[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism ,activity incentive ,Secondary prevention ,brain traumatic injury ,stroke ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,[SPI.AUTO]Engineering Sciences [physics]/Automatic ,[SPI.TRON]Engineering Sciences [physics]/Electronics - Abstract
International audience; AMISIA a multidisciplinary, 36 months Defi CNRS AUTON project, aimed at the secondary prevention of the loss of autonomy for patients with traumatic brain injury and stroke. As “any patient is a unique case,” AMISIA proposes an integrated approach, mixing medical health devices, information technology, and human factors to provide patients, health care actors and caregivers from the relatives both the best incentives and high degree of monitoring. This first step aims to define a methodology to determine the indicators necessary to promote physical activity in traumatic brain injury and stroke patient. In line with the primary aim, we conducted a data collection experiment in Limoges with 61 volunteer participants. Data were biographic elements, socio - econo mic profiles, cognitive performance (Corsi test results), psychological battery (anxiety, fatigue, sleep), posture and gait measurement with 4 Imus and a Wii - balance board, and finally the physical activity over a week at home (Armband and Fitbit sensors). These data will help build a control database, to help extract individual profiles with machine learning techniques. Index Terms -Secondary prevention, stroke , brain traumatic injury , activity incentive, multidimensional data collection
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- 2019
15. AMISIA : a multidisciplinary apporoach for the secondary prevention of the loss of autonomy for patients with traumatic brain injury and stroke
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Mandigout, Stéphane, Perrochon, Anaïck, Fernandez, Laure, Kanellos, Ioannis, Encelle, Benoît, Rezzoug, Nasser, Ricard, Damien, Schneider, Michel, Bouet, Marinette, Handicap, Activité, Vieillissement, Autonomie, Environnement (HAVAE), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Laboratoire de Physiologie de la Perception et de l'Action (LPPA), Collège de France (CdF (institution))-Centre National de la Recherche Scientifique (CNRS), Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Dépt. Intelligence Artificielle et Systèmes Cognitifs (IASC), Institut Télécom-Télécom Bretagne, Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Laboratoire de Biomodélisation et Ingénierie des Handicaps - EA 4322 (HANDIBIO), Université de Toulon (UTLN), Service de neurologie [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Collège de France (CdF)-Centre National de la Recherche Scientifique (CNRS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Université Paris Diderot - Paris 7 (UPD7)-Hôpital Robert Debré-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Sigma CLERMONT (Sigma CLERMONT)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure des Mines de St Etienne, Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), and Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)
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[INFO]Computer Science [cs] ,ComputingMilieux_MISCELLANEOUS ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
National audience
- Published
- 2018
16. A general system for self collecting individual data - Application to medical data
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Schneider, Michel, TAY, Suan, Gay, Chloé, Bouet, Marinette, Coudeyre, Emmanuel, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Médecine physique et de réadaptation, CHU Clermont-Ferrand, Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS), CHU Gabriel Montpied [Clermont-Ferrand], Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), and SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)
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[INFO]Computer Science [cs] ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2017
17. Using Timed Automata Framework for Modeling Home Care Plans
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Gani, Kahina, primary, Bouet, Marinette, additional, Schneider, Michel, additional, and Toumani, Farouk, additional
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- 2015
- Full Text
- View/download PDF
18. New image retrieval principle: Image mining & visual ontology
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Bouet, Marinette, Aufaure, Marie-Aude, SUPELEC-Campus Gif, Ecole Supérieure d'Electricité - SUPELEC (FRANCE), and Faivre, Evelyne
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[INFO.INFO-WB] Computer Science [cs]/Web ,[INFO.INFO-WB]Computer Science [cs]/Web ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION - Abstract
Image data are omnipresent for various applications. A considerable volume of data is produced and we need to develop tools to efficiently retrieve relevant information. Image mining is a new and challenging research field which tries to overcome some limitations reached by content-based image retrieval. Image mining deals with making associations between images from large database and presenting a resumed view. After a state of the art in the image retrieval field, this chapter presents some work and ideas about the need to define new descriptors to integrate image semantics. Clustering and characterization rules are combined to reduce the research space and produce a resumed view of an annotated image database. These data mining techniques are performed separately on visual descriptors and textual information (annotations, keywords, web pages). A visual ontology is derived from the textual part, and enriched with representative images associated to each concept of the ontology. Ontology-based navigation can also be seen as a user-friendly and powerful tool to retrieve relevant information. These two approaches should make the exploitation and the exploration of a large image database easier.
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- 2006
19. Recherche d'information multimédia : Apport des techniques de fouille de données et des ontologies
- Author
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Aufaure, Marie-Aude, Bouet, Marinette, SUPELEC-Campus Gif, Ecole Supérieure d'Electricité - SUPELEC (FRANCE), and Faivre, Evelyne
- Subjects
[INFO.INFO-WB] Computer Science [cs]/Web ,[INFO.INFO-WB]Computer Science [cs]/Web - Abstract
National audience; A ce jour, le média image est omniprésent dans de nombreuses applications. Un volume de données considérable est produit ce qui conduit à la nécessité de développer des outils permettant de retrouver efficacement de l'information pertinente. Les systèmes de recherche actuels montrent aujourd'hui leurs limites en raison de l'absence de sémantique. Une voie qui semble intéressante à explorer afin de combler le fossé existant entre les propriétés extraites et le contenu sémantique, est la fouille de données. C'est un domaine de recherche encore immature mais très prometteur. Cet article présente des travaux préliminaires sur la manière de définir de nouveaux descripteurs intégrant la sémantique. Le clustering et la caractérisation des classes obtenues sont utilisés pour réduire l'espace de recherche et produire une vue résumée de la base. La navigation basée sur une ontologie visuelle est un moyen puissant et convivial pour retrouver de l'information pertinente.
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- 2005
20. New Image Retrieval Principle: Image Mining and Visual Ontology
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Bouet, Marinette, primary and Aufaure, Marie-Aude, additional
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21. Shape Processing and Image retrieval
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Bouet, Marinette, Djeraba, Chaabane, Khenchaf, Ali, Briand, Henri, Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_ENSTAB_CID_TOMS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Laboratoire d'Informatique de Nantes Atlantique (LINA), Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)
- Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] ,[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] ,[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM] ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,ComputingMilieux_MISCELLANEOUS ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] - Abstract
International audience
- Published
- 2000
22. Introduction of high level descriptions in a visual information system
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Djeraba, Chaabane, Bouet, Marinette, Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - USR 3380 (IRCICA), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), IRIN, Université de Nantes (UN), Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] ,[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] ,[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM] ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,ComputingMilieux_MISCELLANEOUS ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] - Abstract
International audience
- Published
- 1998
23. Visual Content Based Retrieval in an Image Database with Relevant Feedback
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Bouet, Marinette, Djeraba, Chaabane, Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), IRIN, Université de Nantes (UN), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - USR 3380 (IRCICA), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS), and Université de Lille-Centre National de la Recherche Scientifique (CNRS)
- Subjects
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] ,[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] ,[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM] ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,ComputingMilieux_MISCELLANEOUS ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] - Abstract
International audience
- Published
- 1998
24. A general model for specifying near periodic recurrent activities - application to home care activities
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Bouet, Marinette, primary, Gani, Kahina, additional, Schneider, Michel, additional, and Toumani, Farouk, additional
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- 2013
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25. New Image Retrieval Principle: Image Mining and Visual Ontology.
- Author
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Petrushin, Valery A., Khan, Latifur, Bouet, Marinette, and Aufaure, Marie-Aude
- Abstract
Image data are omnipresent for various applications. A considerable volume of data is produced, and we need to develop tools to efficiently retrieve relevant information. Image mining is a new and challenging research field that tries to overcome some limitations reached by content-based image retrieval. Image mining deals with making associations between images from large database and presenting a summarized view. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
26. Traitement de l'information multimédia : recherche du média image
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Bouet, Marinette, primary and Khenchaf, Ali, additional
- Published
- 2002
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27. Shape representation for content-based image retrieval.
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Khenchaf, Ali and Bouet, Marinette
- Published
- 2000
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28. Shape representation for content-based image retrieval
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Khenchaf, Ali, primary and Bouet, Marinette, additional
- Published
- 2000
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- View/download PDF
29. Shape representation for image retrieval
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Bouet, Marinette, primary, Khenchaf, Ali, additional, and Briand, Henri, additional
- Published
- 1999
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30. Powerful image organization in visual retrieval systems
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Bouet, Marinette, primary and Djeraba, Chabane, additional
- Published
- 1998
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31. Digital information retrieval
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Djeraba, Chabane, primary and Bouet, marinette, additional
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- 1997
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32. Cooperative Learning Reduces the Gender Gap in Perceived Social Competences: A Large-Scale Nationwide Longitudinal Experiment.
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Rudmann, Ocyna, Batruch, Anatolia, Visintin, Emilio Paolo, Sommet, Nicolas, Bressoux, Pascal, Darnon, Céline, Bouet, Marinette, Bressan, Marco, Brown, Genavee, Cepeda, Carlos, Cherbonnier, Anthony, Demolliens, Marie, De Place, Anne-Laure, Desrichard, Olivier, Ducros, Théo, Goron, Luc, Hemon, Brivael, Huguet, Pascal, Jamet, Eric, and Martinez, Ruben
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- *
SOCIAL skills , *VOCATIONAL high schools , *VOCATIONAL school students , *SOCIALIZATION , *COOPERATIVE binding (Biochemistry) - Abstract
Considering the evolving and unpredictable job market, adaptability is an important skill for young adults. Such adaptability implies that schools need to teach key social competences, like communication, collaboration, or problem-solving. In this area, a gender gap has consistently been found, showing that boys display social competences less than girls. A large-scale nationwide multilab longitudinal experiment—the ProFAN project—was conducted in France among more than 10,000 vocational high-school students. Its primary goal was to develop and test an intervention promoting a range of psychological and psychosocial variables in vocational high schools, including social competences. This 2-year long, three-wave field experiment compared the effects of a cooperative learning method—the jigsaw classroom, that entails positive goal and resource interdependence—to two control conditions: one that involves cooperation with resource independence, and the other that remains business-as-usual. This article focuses on the differential development of perceived social competences of adolescent boys and girls over time, comparing the three pedagogical methods. Results of longitudinal multilevel modeling replicate the gender gap in perceived social competences and show that this gap widens with time. However, and most importantly, the analyses revealed that such widening of the gender gap was greater in the two control conditions than in the jigsaw condition, in which the evolution of boys' and girls' perceptions of social competences remained similar over time. Contributions to the understanding of the development and teaching of social competences in education settings are discussed. Educational Impact and Implications Statement: Social competences, like communication and collaboration, are key to adapting in today's ever-changing job market, and boys are usually found to be less skilled with social competences than girls. In a nationwide longitudinal intervention, we explored how schools can promote essential social competences in a way that compensates for this gap. In our study involving over 10,000 vocational high school students, we found that boys lag behind girls in reporting and valuing social competences and that this gap widens over time. However, implementing a jigsaw classroom—a cooperative learning method with positive goal and resource interdependence—was effective in refraining this gap from increasing. These findings emphasize that the jigsaw classroom allows all students to practice social competences and reduces the gender gap in social competences. [ABSTRACT FROM AUTHOR]
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- 2024
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33. Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials
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Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, Zweigenbaum, Pierre, Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, and Zweigenbaum, Pierre
- Abstract
Objectives: Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluated. Study Design and Setting: We performed a living mapping of RCTs registered in the WHO International Clinical Trials Registry Platform. We systematically search the platform every week for all RCTs evaluating preventive interventions and treatments for COVID-19 and created a publicly available interactive mapping tool at https://covid-nma.com to visualize all trials registered. Results: By August 12, 2020, 1,568 trials for COVID-19 were registered worldwide. Overall, the median ([Q1–Q3]; range) delay between the first case recorded in each country and the first RCT registered was 47 days ([33–67]; 15–163). For the 9 countries with the highest number of trials registered, most trials were registered after the peak of the epidemic (from 100% trials in Italy to 38% in the United States). Most trials evaluated treatments (1,333 trials; 85%); only 223 (14%) evaluated preventive strategies and 12 postacute period intervention. A total of 254 trials were planned to assess different regimens of hydroxychloroquine with an expected sample size of 110,883 patients. Conclusion: This living mapping analysis showed that COVID-19 trials have relatively small sample size with certain redundancy in research questions. Most trials were registered when the first peak of the pandemic has passed.
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- View/download PDF
34. Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials
- Author
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Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, Zweigenbaum, Pierre, Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, and Zweigenbaum, Pierre
- Abstract
Objectives: Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluated. Study Design and Setting: We performed a living mapping of RCTs registered in the WHO International Clinical Trials Registry Platform. We systematically search the platform every week for all RCTs evaluating preventive interventions and treatments for COVID-19 and created a publicly available interactive mapping tool at https://covid-nma.com to visualize all trials registered. Results: By August 12, 2020, 1,568 trials for COVID-19 were registered worldwide. Overall, the median ([Q1–Q3]; range) delay between the first case recorded in each country and the first RCT registered was 47 days ([33–67]; 15–163). For the 9 countries with the highest number of trials registered, most trials were registered after the peak of the epidemic (from 100% trials in Italy to 38% in the United States). Most trials evaluated treatments (1,333 trials; 85%); only 223 (14%) evaluated preventive strategies and 12 postacute period intervention. A total of 254 trials were planned to assess different regimens of hydroxychloroquine with an expected sample size of 110,883 patients. Conclusion: This living mapping analysis showed that COVID-19 trials have relatively small sample size with certain redundancy in research questions. Most trials were registered when the first peak of the pandemic has passed.
- Full Text
- View/download PDF
35. Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials
- Author
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Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, Zweigenbaum, Pierre, Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, and Zweigenbaum, Pierre
- Abstract
Objectives: Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluated. Study Design and Setting: We performed a living mapping of RCTs registered in the WHO International Clinical Trials Registry Platform. We systematically search the platform every week for all RCTs evaluating preventive interventions and treatments for COVID-19 and created a publicly available interactive mapping tool at https://covid-nma.com to visualize all trials registered. Results: By August 12, 2020, 1,568 trials for COVID-19 were registered worldwide. Overall, the median ([Q1–Q3]; range) delay between the first case recorded in each country and the first RCT registered was 47 days ([33–67]; 15–163). For the 9 countries with the highest number of trials registered, most trials were registered after the peak of the epidemic (from 100% trials in Italy to 38% in the United States). Most trials evaluated treatments (1,333 trials; 85%); only 223 (14%) evaluated preventive strategies and 12 postacute period intervention. A total of 254 trials were planned to assess different regimens of hydroxychloroquine with an expected sample size of 110,883 patients. Conclusion: This living mapping analysis showed that COVID-19 trials have relatively small sample size with certain redundancy in research questions. Most trials were registered when the first peak of the pandemic has passed.
- Full Text
- View/download PDF
36. Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials
- Author
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Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, Zweigenbaum, Pierre, Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, and Zweigenbaum, Pierre
- Abstract
Objectives: Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluated. Study Design and Setting: We performed a living mapping of RCTs registered in the WHO International Clinical Trials Registry Platform. We systematically search the platform every week for all RCTs evaluating preventive interventions and treatments for COVID-19 and created a publicly available interactive mapping tool at https://covid-nma.com to visualize all trials registered. Results: By August 12, 2020, 1,568 trials for COVID-19 were registered worldwide. Overall, the median ([Q1–Q3]; range) delay between the first case recorded in each country and the first RCT registered was 47 days ([33–67]; 15–163). For the 9 countries with the highest number of trials registered, most trials were registered after the peak of the epidemic (from 100% trials in Italy to 38% in the United States). Most trials evaluated treatments (1,333 trials; 85%); only 223 (14%) evaluated preventive strategies and 12 postacute period intervention. A total of 254 trials were planned to assess different regimens of hydroxychloroquine with an expected sample size of 110,883 patients. Conclusion: This living mapping analysis showed that COVID-19 trials have relatively small sample size with certain redundancy in research questions. Most trials were registered when the first peak of the pandemic has passed.
- Full Text
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37. Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials
- Author
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Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, Zweigenbaum, Pierre, Nguyen, Van Thu, Rivière, Philippe, Ripoll, Pierre, Barnier, Julien, Vuillemot, Romain, Ferrand, Gabriel, Cohen-Boulakia, Sarah, Ravaud, Philippe, Boutron, Isabelle, Alawadhi, Solaf, Amer-Yahia, Sihem, Ávila, Camila, Bafeta, Aïda, Baudry, Julia, Bollig, Claudia, Bonnet, Hillary, Bouet, Marinette, Cabanac, Guillaume, Chaimani, Anna, Chavalarias, David, Chen, Yaolong, Chevance, Astrid, Coquery, Emmanuel, Conil, Francoise, Davidson, Mauricia, De Nale, Laura, Devane, Declan, Diard, Elise, Doreau, Bastien, Evrenoglou, Theodoros, Fabri, Alice, Feron, Gilles, Fezeu, Leopold, Fouet, Mathilde, El Chall, Lina Ghosn, Graña, Carolina, Grasselli, Giacomo, Grolleau, François, Hacid, Mohand-Said, Haddy, Loubna, Hansen, Camilla, Hohlfeld, Ameer, Hróbjartsson, Asbjørn, Julia, Chantal, Mavridis, Dimitris, Meerpohl, Joerg J., Meyer, Brice, Naidoo, Nivantha, Thu, Van Nguyen, Oikonomidi, Theodora, Pienaar, Elizabeth, Quirke, Fiona, Rada, Gabriel, Riveros, Carolina, Sauvant, Marie, Schmucker, Christine, Toumani, Farouk, Tovey, David, Xia, Jun, Yu, Xuan, Zoletic, Emina, and Zweigenbaum, Pierre
- Abstract
Objectives: Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluated. Study Design and Setting: We performed a living mapping of RCTs registered in the WHO International Clinical Trials Registry Platform. We systematically search the platform every week for all RCTs evaluating preventive interventions and treatments for COVID-19 and created a publicly available interactive mapping tool at https://covid-nma.com to visualize all trials registered. Results: By August 12, 2020, 1,568 trials for COVID-19 were registered worldwide. Overall, the median ([Q1–Q3]; range) delay between the first case recorded in each country and the first RCT registered was 47 days ([33–67]; 15–163). For the 9 countries with the highest number of trials registered, most trials were registered after the peak of the epidemic (from 100% trials in Italy to 38% in the United States). Most trials evaluated treatments (1,333 trials; 85%); only 223 (14%) evaluated preventive strategies and 12 postacute period intervention. A total of 254 trials were planned to assess different regimens of hydroxychloroquine with an expected sample size of 110,883 patients. Conclusion: This living mapping analysis showed that COVID-19 trials have relatively small sample size with certain redundancy in research questions. Most trials were registered when the first peak of the pandemic has passed.
- Full Text
- View/download PDF
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