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2,617 results on '"A Pommereau"'

1. The development of a novel high-throughput membrane potential assay and a solid-supported membrane (SSM)-based electrophysiological assay to study the pharmacological inhibition of GLUT9/SLC2A9 isoforms in a drug discovery program

Author

Antje Pommereau, Francesca Sassone, Alessandro Poli, Marcella De Silvestris, Lia Scarabottolo, Yasmin Zuschlag, Thomas Licher, and Felix Bärenz

Subjects
Drug discovery, GLUT9, glucose transporter-9, urate transporter, high content screening, drug discovery, Medicine (General), R5-920, Biotechnology, TP248.13-248.65
Abstract

GLUT9/SLC2A9 is a urate transporter and takes a fundamental role in the maintenance of normal serum urate levels. GLUT9 is the sole transporter of reabsorbed urate from renal epithelial cells to blood, thus making it an ideal pharmacological target for the development of urate-lowering drugs. None of the three currently available assays for studying GLUT9 pharmacological inhibition can support a high throughput drug discovery screening campaign. In this manuscript we present two novel assay technologies which can be used in a drug discovery screening cascade for GLUT9: a GLUT9 membrane potential assay for primary screening; and a solid-supported membrane (SSM)-based supported electrophysiological assay for secondary screening.

Published
2024
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7. Advancing drug discovery through assay development: a survey of tool compounds within the human solute carrier superfamily

Author

Daniela Digles, Alvaro Ingles-Prieto, Vojtech Dvorak, Tamara A. M. Mocking, Ulrich Goldmann, Andrea Garofoli, Evert J. Homan, Alberto Di Silvio, Lucia Azzollini, Francesca Sassone, Mario Fogazza, Felix Bärenz, Antje Pommereau, Yasmin Zuschlag, Jasper F. Ooms, Jeppe Tranberg-Jensen, Jesper S. Hansen, Josefina Stanka, Hubert J. Sijben, Helena Batoulis, Eckhard Bender, Riccardo Martini, Adriaan P. IJzerman, David B. Sauer, Laura H. Heitman, Vania Manolova, Juergen Reinhardt, Alexander Ehrmann, Philipp Leippe, Gerhard F. Ecker, Kilian V. M. Huber, Thomas Licher, Lia Scarabottolo, Tabea Wiedmer, and Giulio Superti-Furga

Subjects
solute carrier, transport protein, tool compound, KNIME, transport assay, Therapeutics. Pharmacology, RM1-950
Abstract

With over 450 genes, solute carriers (SLCs) constitute the largest transporter superfamily responsible for the uptake and efflux of nutrients, metabolites, and xenobiotics in human cells. SLCs are associated with a wide variety of human diseases, including cancer, diabetes, and metabolic and neurological disorders. They represent an important therapeutic target class that remains only partly exploited as therapeutics that target SLCs are scarce. Additionally, many small molecules reported in the literature to target SLCs are poorly characterized. Both features may be due to the difficulty of developing SLC transport assays that fulfill the quality criteria for high-throughput screening. Here, we report one of the main limitations hampering assay development within the RESOLUTE consortium: the lack of a resource providing high-quality information on SLC tool compounds. To address this, we provide a systematic annotation of tool compounds targeting SLCs. We first provide an overview on RESOLUTE assays. Next, we present a list of SLC-targeting compounds collected from the literature and public databases; we found that most data sources lacked specificity data. Finally, we report on experimental tests of 19 selected compounds against a panel of 13 SLCs from seven different families. Except for a few inhibitors, which were active on unrelated SLCs, the tested inhibitors demonstrated high selectivity for their reported targets. To make this knowledge easily accessible to the scientific community, we created an interactive dashboard displaying the collected data in the RESOLUTE web portal (https://re-solute.eu). We anticipate that our open-access resources on assays and compounds will support the development of future drug discovery campaigns for SLCs.

Published
2024
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8. Trends in polar ozone loss since 1989: potential sign of recovery in the Arctic ozone column

Author

A. Pazmiño, F. Goutail, S. Godin-Beekmann, A. Hauchecorne, J.-P. Pommereau, M. P. Chipperfield, W. Feng, F. Lefèvre, A. Lecouffe, M. Van Roozendael, N. Jepsen, G. Hansen, R. Kivi, K. Strong, and K. A. Walker

Subjects
Physics, QC1-999, Chemistry, QD1-999
Abstract

Ozone depletion over the polar regions is monitored each year by satellite- and ground-based instruments. In this study, the vortex-averaged ozone loss over the last 3 decades is evaluated for both polar regions using the passive ozone tracer of the chemical transport model TOMCAT/SLIMCAT and total ozone observations from Système d'Analyse par Observation Zénithale (SAOZ) ground-based instruments and Multi-Sensor Reanalysis (MSR2). The passive-tracer method allows us to determine the evolution of the daily rate of column ozone destruction and the magnitude of the cumulative column loss at the end of the winter. Three metrics are used in trend analyses that aim to assess the ozone recovery rate over both polar regions: (1) the maximum ozone loss at the end of the winter, (2) the onset day of ozone loss at a specific threshold, and (3) the ozone loss residuals computed from the differences between annual ozone loss and ozone loss values regressed with respect to sunlit volume of polar stratospheric clouds (VPSCs). This latter metric is based on linear and parabolic regressions for ozone loss in the Northern Hemisphere and Southern Hemisphere, respectively. In the Antarctic, metrics 1 and 3 yield trends of −2.3 % and −2.2 % per decade for the 2000–2021 period, significant at 1 and 2 standard deviations (σ), respectively. For metric 2, various thresholds were considered at the total ozone loss values of 20 %, 25 %, 30 %, 35 %, and 40 %, all of them showing a time delay as a function of year in terms of when the threshold is reached. The trends are significant at the 2σ level and vary from 3.5 to 4.2 d per decade between the various thresholds. In the Arctic, metric 1 exhibits large interannual variability, and no significant trend is detected; this result is highly influenced by the record ozone losses in 2011 and 2020. Metric 2 is not applied in the Northern Hemisphere due to the difficulty in finding a threshold value in enough of the winters. Metric 3 provides a negative trend in Arctic ozone loss residuals with respect to the sunlit VPSC fit of −2.00 ± 0.97 (1σ) % per decade, with limited significance at the 2σ level. With such a metric, a potential quantitative detection of ozone recovery in the Arctic springtime lower stratosphere can be made.

Published
2023
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10. Three-vessel coronary infusion of cardiosphere-derived cells for the treatment of heart failure with preserved ejection fraction in a pre-clinical pig model

Author

Gallet, Romain, Su, Jin-Bo, Corboz, Daphné, Chiaroni, Paul-Matthieu, Bizé, Alain, Dai, Jianping, Panel, Mathieu, Boucher, Pierre, Pallot, Gaëtan, Brehat, Juliette, Sambin, Lucien, Thery, Guillaume, Mouri, Nadir, de Pommereau, Aurélien, Denormandie, Pierre, Germain, Stéphane, Lacampagne, Alain, Teiger, Emmanuel, Marbán, Eduardo, and Ghaleh, Bijan

Published
2023
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14. Diversité des prises en charge hospitalières de l’anorexie mentale en psychiatrie en France

Author

Godart, N., Berthoz, S., Lalanne, C., Duclos, J., Mattar, L., Roux, H., Thiébaud, M.R., Vibert, S., Hubert, T., Courty, A., Ringuenet, D., Benoit, J.-P., Blanchet, C., Moro, M.-R., Bignami, L., Nordon, C., Rouillon, F., Cook, S., Doyen, C., Mouren Siméoni, M.-C., Gerardin, P., Lebecq, S., Podlipski, M.-A., Gayet, C., Lasfar, M., Delorme, M., Pommereau, X., Bioulac, S., Bouvard, M., Carrere, J., Doncieux, K., Faucher, S., Fayollet, C., Prexl, A., Billard, S., Lang, F., Mourier-Soleillant, V., Greiner, R., Gay, A., Carrot, G., Lambert, S., Rousselet, M., Placé, L., Venisse, J.-L., Bronnec, M., Falissard, B., Genolini, C., Hassler, C., Tréluyer, J.-M., Chacornac, O., Delattre, M., Moulopo, N., Turuban, C., Auger, C., Eveno, A.-L., and Huas, C.

Published
2022
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15. A high-throughput screening assay for mutant isocitrate dehydrogenase 1 using acoustic droplet ejection mass spectrometry

Author

Elisabeth Speckmeier, Antje Pommereau, Kay-Christoph Grosser, Hartmut Mors, Thomas C. Maier, Thomas Licher, and Felix Bärenz

Subjects
Isocitrate dehydrogenase type 1 (IDH1), IDH1 R132H inhibitors, Acoustic droplet ejection mass spectrometry (ADE-MS), Echo-MS, Open port interface, Label-free high throughput screening, Medicine (General), R5-920, Biotechnology, TP248.13-248.65
Abstract

Acoustic droplet ejection mass spectrometry (ADE-MS) has recently emerged as a promising label-free, MS-based readout method for high throughput screening (HTS) campaigns in early pharmaceutical drug discovery, since it enables high-speed analysis directly from 384- or 1536-well plates. In this manuscript we describe our characterization of an ADE-MS based high sample content enzymatic assay for mutant isocitrate dehydrogenase 1 (IDH1) R132H with a strong focus on assay development. IDH1 R132H has become a very attractive therapeutic target in the field of antitumor drug discovery, and several pharmaceutical companies have attempted to develop novel small molecule inhibitors against mutant IDH1. With the development of an mIDH1 ADE-MS based HTS assay and a detailed comparison of this new readout technique to the commonly used fluorescence intensity mIDH1 assay, we demonstrated good correlation of both methods and were able to identify new potent inhibitors of mIDH1.

Published
2022
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19. 25 Gb/s Colorless Transmitter Based on Reflective Electroabsorption Modulator for Ultra-Dense WDM-PON Application

Author

Atra, Kebede, Cerulo, Giancarlo, Provost, Jean-Guy, Mekhazni, Karim, Calo, Cosimo, Pommereau, Frederic, Gomez, Carmen, Fortin, Catherine, Decobert, Jean, Martin, Florence, Derouin, Estelle, Caillaud, Christophe, Erasme, Didier, Ware, Cédric, Mallecot, Franck, Achouche, Mohand, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, and Tsiatsos, Thrasyvoulos, editor

Published
2021
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26. Analysis of Discrete Models for Ecosystem Ecology

Author

Di Giusto, Cinzia, Gaucherel, Cédric, Klaudel, Hanna, Pommereau, Franck, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Roque, Ana, editor, Tomczyk, Arkadiusz, editor, De Maria, Elisabetta, editor, Putze, Felix, editor, Moucek, Roman, editor, Fred, Ana, editor, and Gamboa, Hugo, editor

Published
2020
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27. Model-checking ecological state-transition graphs.

Author

Colin Thomas, Maximilien Cosme, Cédric Gaucherel, and Franck Pommereau

Subjects
Biology (General), QH301-705.5
Abstract

Model-checking is a methodology developed in computer science to automatically assess the dynamics of discrete systems, by checking if a system modelled as a state-transition graph satisfies a dynamical property written as a temporal logic formula. The dynamics of ecosystems have been drawn as state-transition graphs for more than a century, ranging from state-and-transition models to assembly graphs. Model-checking can provide insights into both empirical data and theoretical models, as long as they sum up into state-transition graphs. While model-checking proved to be a valuable tool in systems biology, it remains largely underused in ecology apart from precursory applications. This article proposes to address this situation, through an inventory of existing ecological STGs and an accessible presentation of the model-checking methodology. This overview is illustrated by the application of model-checking to assess the dynamics of a vegetation pathways model. We select management scenarios by model-checking Computation Tree Logic formulas representing management goals and built from a proposed catalogue of patterns. In discussion, we sketch bridges between existing studies in ecology and available model-checking frameworks. In addition to the automated analysis of ecological state-transition graphs, we believe that defining ecological concepts with temporal logics could help clarify and compare them.

Published
2022
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28. Low incidence of SARS-CoV-2, risk factors of mortality and the course of illness in the French national cohort of dialysis patients

Author

Abbassi, Abdelhamid, Debure, Alain, Guerraoui, Abdallah, Benmoussa, Abdelatif, Hamani, Abdelaziz, Ziane, Abdelaziz, Nefti, Abdelhamid, Hadj, Abdelkader, El Amari, Abderrahim, Ghazali, Abderrahmane, Abd El Fatah Mohamed, Abo Bakr, Laradi, Achour, Ben Ahmed, Adel, Sahar, Adel, Pillet, Adele, Lacraz, Adeline, Moinat, Adnan, Massoumi, Afshin, Pardon, Agathe, Beaudoin, Agnes Caillette, Debout, Agnes Chapelet, Mariot, Agnes, Rachi, Ahmed, Afiani, Aida, Boula, Aime Remy, Jalaby, Al, Cremault, Alain, Fournier, Alain, Jeanson, Alain, Lyon, Alain, Nony, Alain, Robert, Alain, Slingeneyer, Alain, Labatide, Alanor Agnes, Sartorius, Albane Brodin, Bensman, Albert, Fournier, Albert, Ranlin, Alex, Sandor, Alex Vido, Colombo, Alexandra, Duhem, Alexandra, Stancu, Alexandra, Dufay, Alexandre, Dumoulin, Alexandre, Ebel, Alexandre, Klein, Alexandre, Martin, Alexandre, Mouneimne, Alexandre, Seidowsky, Alexandre, De Martin, Alfio, Zannier, Alfredo, Aizel, Ali, Hafi, Ali, Diddaoui, Ali Zineddine, Heyani, Alim, Mocanu, Alina, Preda, Alina, Hafi, Aline, Talaszka, Aline, Duquesne, Alyette, Amaouche, Amar, Ghemmour, Amel, Simon, Amelie, Skalli, Amina, Boukadida, Amine, Ragab Eid, Amr Ekhlas, Fedorca, Ana, Baillet, Anabelle, Poyet, Anais, Giorgita, Ancuta Bouffandeau, Ratsimbazafy, Anderson, Pruna, Andre, Argiles, Angel, Testa, Angelo, Vandooren, Ann Karolien, Jolivot, Anne, Labadens, Anne Kolko, Lataste, Anne, Maisin, Anne, Paris, Anne, Sechet, Anne, Wuillai, Anne, Heng, Anne Elisabeth, Josse, Anne Gaelle, Querard, Anne Helene, Reboux, Anne Helene, Adra, Anne Laure, Faller, Anne Laure, Leclerc, Anne Laure, Poitou, Anne Laure, Manucci, Annie Lahoche, Jacquet, Antoine, Pommereau, Antoine, Thierry, Antoine, Adem, Arezki, Chapelet, Arielle, Del Bello, Arnaud, Delezire, Arnaud, Garnier, Arnaud, Guerard, Arnaud, Klisnick, Arnaud, Lionet, Arnaud, Roccabianca, Arnaud, Stolz, Arnaud, Capdeville, Arthur, Allal, Asma, Alrifai, Assem, Diarrassouba, Assetou, Djema, Assia, Carre, Assia Ferhat, Dubrasquet, Astrid Godron, Elmrabet, Atman Haddj, Jegado, Audrey, Thomas, Aurelia Bertholet, Salandre, Aurelie Davourie, Pajot, Aurelie, Lorthioir, Aurelien, Tiple, Aurelien, Sury, Aurore, Abokasem, Ayman, Sarraj, Ayman, Henaoui, Bachir, Chaghouri, Baher, Wehbe, Bassem, Ball, Beatrice, Viron, Beatrice, Issad, Belkassem, Corne, Benedicte Hodemon, Janbon, Benedicte, Deroure, Benjamin, Savenkoff, Benjamin, Jonon, Benoit, Vendrely, Benoit, Djelaleddine, Benyakoub, Ohry, Bernard, Painchart, Bernard, Strullu, Bernard, Temperville, Bernard, Ebikili, Bertin, Hacq, Bertrand, Morel, Bertrand, Aoun, Bilal, Muniz, Blanca, Chlih, Bouchra, Amara, Brahim, Mayor, Brice, Gilson, Brigitte, Llanas, Brigitte, Zins, Brigitte, Bourgeon, Bruno, Coevoet, Bruno, Guery, Bruno, Legallicier, Bruno, Paris, Bruno, Ranchin, Bruno, Seigneuric, Bruno, Dita, Camelia Ghiciuc, Prelipcean, Camelia, Hottelart, Carine Achard, Diet, Carine, Frangie, Carlos, Vela, Carlos, Muresan, Carmina, Deprele, Carole, Araujo, Caroline, Bidault, Caroline, Creput, Caroline, Delclaux, Caroline, Du Halgouet, Caroline, Favennec, Caroline, Freguin, Caroline, Vercel, Caroline Gourraud, Mesguen, Caroline, Obama, Caroline Ndomo, Poitou, Caroline, Dirhold, Caroline Preissig, Roubiou, Caroline, Albert, Catherine, Bessin, Catherine, De Marion Gaja, Catherine, Godart, Catherine, Lasseur, Catherine, Leocardi, Catherine, Lumbroso, Catherine, Melander, Catherine, Michel, Catherine, Maurouard, Catherine Quere, Rouannet, Catherine, Taddei, Catherine, Verove, Cathy, Guiraud, Cecile, Tafelin, Cecile, Baron, Cecile Turc, Formet, Cedric, Pinier, Cedric, De Ste Foy, Celia Lessore, Granolleras, Celine, Bennini, Chaouki, Cartou, Charles, Chazot, Charles, Jouzel, Charlotte, Badid, Cherif, Roubicek, Christa, Viaud, Christel, Verrier, Christelle, Chuet, Christian, Combe, Christian, Dabot, Christian, Duvic, Christian, Emond, Christian, Lagarde, Christian, Lamotte, Christian, Pain, Christian, Mousson, Christiane, Lorriaux, Christie, Beauchamp, Christine, Fumeron, Christine, Le Gurun, Christine, Leroy, Christine, Pietrement, Christine, Richer, Christine, Bouaka, Christophe, Charasse, Christophe, Goupy, Christophe, Ridel, Christophe, Castrale, Cindy, Detourne, Cindy, Francois, Clair, Presne, Claire, Trivin, Claire, Von Kotze, Clarissa, Bernard, Claude, Bonniol, Claude, Desvergnes, Claude, Raharivelina, Claude, Nistor, Claudia, Gueret, Claudine, Lloret, Claudine, Saltiel, Claudine, Rosati, Clelia, Rabate, Clementine, Stanescu, Corina, Ferrandini, Corinne, Guibergia, Corinne, Lemoine, Corinne, Passeron, Corinne, Kahil, Cynthia, Garrouste, Cyril, Van, Cyril Vo, Jolimoy, Cyrille, Kesraoui, Dalila, Jolly, Damien, Thibaudin, Damien, Teboulle, Dan, Daubresse, Daniel, Louvet, Daniel, Rasamimanantsoa, Daniel, Toledano, Daniel, Babici, Daniela, David, Daniela, Dincu, Daniela, Bruno, Danielle, May, Delia, Haussaire, Delphine, Viprey, Delphine Henriet, Bugnon, Denis, Fouque, Denis, Morin, Denis, Nour, Derradji, Mahmoud, Diab Mohamed, Cristescu, Diana Istrati, Aguilera, Didier, Coste, Didier, Hamel, Didier, Le Chapois, Didier, Testou, Didier, Erbilgin, Dilaver, Dahmane, Djamal, Quang, Doan Bui, Bertrand, Dominique, Besnier, Dominique, Blanchier, Dominique, Briffa, Dominique, Caux, Dominique, Durand, Dominique, Fleury, Dominique, Guerrot, Dominique, Hestin, Dominique, Jaubert, Dominique, Joly, Dominique, Lombart, Dominique, Pagniez, Dominique, Pierre, Dominique, Schohn, Dominique, Ikonga, Donatien, Visanica, Dorina, Bazin, Dorothee, Boury, Edouard, Maksour, Edouard, Agbonon, Ekoue, Harrami, Elarbi, Marcu, Elena, Tudorache, Elena, Caniot, Elisabeth, Semjen, Elisabeth, Tomkiewicz, Elisabeth, Scheidt, Elise, Gaboriau, Elke, Lamouroux, Elodie, Guiard, Elsa, Passos, Elsa Martin, Nsembani, Emerson, Fache, Emilie, Kalbacher, Emilie, Pambrun, Emilie, Pincon, Emilie, Launay, Emma Allain, Baron, Emmanuel, Dupuis, Emmanuel, Villar, Emmanuel, Charlin, Emmanuelle, Hecquet, Emmanuelle, Kohler, Emmanuelle, Laurain, Emmanuelle, Rosier, Emmanuelle, Figueroa, Enrique, Azoulay, Eric, Canivet, Eric, Daugas, Eric, Gauthier, Eric, Laruelle, Eric, Le Guen, Eric, Legrand, Eric, Moumas, Eric, Postec, Eric, Prinz, Eric, Renaudineau, Eric, Desport, Estelle, Sutra, Estelle Ricard, Berard, Etienne, Ged, Etienne, Robin, Etienne, Vilaine, Eve, Bargas, Evelyne, Namara, Evelyne Mac, Combarnous, François, Yazbeck, Fatima, Gerard, Fabien, Metivier, Fabien, Parazols, Fabien, Soulis, Fabien, Garnier, Fabrice, Messaoudene, Fadhila Pech, Haidar, Fadi, Boullenger, Fanny, Lepeytre, Fanny, Leroy, Fanny, Frejate, Fares, Bellahsene, Farid, Bellhasene, Farid, Saidani, Farid, Toure, Fatouma, Kriaa, Faycal, Nemmar, Fazia, Vetromile, Fernando, Chalmin, Florence, Lucats, Florence, Sens, Florence, Villemain, Florence, Plasse, Florent, Lebhour, Fouad, Schillinger, Francis, Berge, Franck, Bourdon, Franck, Bridoux, Franck, Reynaud, Franck, Babinet, Francois, Basse, Francois, Chantrel, Francois, Clair, Francois, Coulomb, Francois, De Cornelissen, Francois, Glowacki, Francois, Marchal, Francois, Maurice, Francois, Nobili, Francois, Pourreau, Francois, Provot, Francois, Amani, Francois Roux, Broux, Francoise, Bulte, Francoise, Heibel, Francoise, Leonetti, Francoise, Schott, Francoise Moussion, Le Roy, Frank, Besson, Frederic, Lavainne, Frederic, Tollis, Frederic, Bocquentin, Frederique, Meeus, Frederique, Vecina, Frederique, Von Ey, Friederike, Balit, Gabriel, Choukroun, Gabriel, Gruget, Gabriel, Huchard, Gabriel, Golea, Gabriella, Duneau, Gabrielle, Lefrancois, Gaelle, Pelle, Gaelle, Lebrun, Gaetan, Dumont, Genevieve, Brillet, Georges, Deschenes, Georges, Mourad, Georges, Stamatakis, Georges, Cazajous, Geraldine, D'ythurbide, Geraldine, Wiart, Geraldine Robitaille, Cardon, Gerard, Champion, Gerard, Deschodt, Gerard, Mangenot, Gerard, Motte, Gerard, Schortgen, Gerard, Boulahia, Ghada, Maakaroun, Ghassan, Michel, Ghylene Bourdat, Zanetta, Gilbert, Hufnagel, Gilles, Messier, Gilles, Piccoli, Giorgina, Desvergnes, Gregoire Couvrat, Bobrie, Guillaume, Bonnard, Guillaume, Clement, Guillaume, Jean, Guillaume, Queffeulou, Guillaume, Seret, Guillaume, Vernin, Guillaume, Delavaud, Guy, Lambrey, Guy, Rostoker, Guy, Poussard, Gwenaelle, Kesler, Gwenaelle Roussey, Leon, H., Aboubekr, Habib, Boulechfar, Hacene, Sekhri, Hacene, Hebibi, Hadia, Benalia, Hadjira, Fessi, Hafed, Atchia, Hafsabhai, Bittar, Haiat, Maiza, Hakim, Mazouz, Hakim, El Ali, Hamid, Bougrida, Hammouche, Van Der Pijl, Hans, Lokmane, Hassan, Izzedine, Hassane, Adda, Hassen, De Preneuf, Helene, Leray, Helene, Philippot, Helene, Boulanger, Henri, Merault, Henri, Renaud, Henri, Bonarek, Herve, Maheut, Herve, Nzeyimana, Hilaire, Mehama, Hocine, Zaidi, Hocine, Weclawiak, Hugo, Flodrops, Hugues, Karaaslan, Huseyin, Haskour, Ibrahim, Belhadj, Ihssen, Almoubarak, Imad, Haddad, Imad, Castellano, Ines, Ferrandiz, Ines, Daniliuc, Ioana, Darie, Ioana, Enache, Ioana, Prunescu, Ionut, Djiconkpode, Irenee, Shahapuni, Irina, Bouchoule, Isabelle, Devriendt, Isabelle, Kazes, Isabelle, Kolb, Isabelle, Landru, Isabelle, Poli, Isabelle, Rey, Isabelle, Segalen, Isabelle, Selcer, Isabelle, Vernier, Isabelle, Vrillon, Isabelle, Guenifi, Ismahane, Gheerbrandt, J. Dominique, Potier, Jacky, Becart, Jacques, Cledes, Jacques, Ducros, Jacques, Duvic, Jacques, Fourcade, Jacques, Gaultier, Jacques, Jurine, Jacques, Lebleu, Jacques, Ollier, Jacques, Charles, Jacques Ibsen, Yazji, Jamal, Mansour, Janette, Arnautou, Jean, Brocard, Jean, Carolfi, Jean, Montoriol, Jean, Gouin, Jean Baptiste, Palcoux, Jean Bernard, Bendini, Jean Christophe, Aldigier, Jean Claude, Alphonse, Jean Claude, Delbet, Jean Daniel, Bonne, Jean Francois, Cantin, Jean Francois, De Fremont, Jean Francois, Dessassis, Jean Francois, Subra, Jean Francois, Valentin, Jean Francois, Verdier, Jean Francois, Dion, Jean Jacques, Haultier, Jean Jacques, Montseny, Jean Jacques, Bacri, Jean Louis, Bouchet, Jean Louis, Mahe, Jean Luc, Chalopin, Jean Marc, Gabriel, Jean Marc, Hurot, Jean Marc, Lanau, Jean Marc, Batho, Jean Marie, Coulibaly, Jean Marie, Hardin, Jean Michel, Marc, Jean Michel, Poux, Jean Michel, Rebibou, Jean Michel, Tivollier, Jean Michel, Ottavioli, Jean Noel, Faucon, Jean Paul, Imiela, Jean Paul, Jaulin, Jean Paul, Masselot, Jean Paul, Ortiz, Jean Paul, Bourdenx, Jean Philippe, Devaux, Jean Philippe, Hammelin, Jean Philippe, Rivory, Jean Pierre, Wauquier, Jean Pierre, Larue, Jean Rene, Mondain, Jean Rene, Borde, Jean Sebastien, Virot, Jean Simon, Bosc, Jean Yves, Achiche, Jedjiga, Parasote, Jennifer, Diolez, Jeremie, Harambat, Jerome, Potier, Jerome, Sampol, Jerome, Mustel, Jihad, Lefevre, Jean Jacques, Maurizi, Jocelyne, Gamberoni, Joel, Claudeon, Joelle, Terzic, Joelle, Rogol, Joffrey, Sayegh, Johnny, Cardozo, Jorge, Brasseur, Jose, Guiserix, Jose, Barsumau, Joseph, Albaret, Julie, Beaume, Julie, Attias, Julie Sohier, Dehay, Julien, Hogan, Julien, Journet, Julien, Ott, Julien, Baleynaud, Juliette, Bacchetta, Justine, Faucher, Justine, Yousfi, Kamel, Dardim, Karim, Clabault, Karine, Moreau, Karine, Thomas, Kedna, Sirajedine, Khaled, Chedid, Khalil, El Kaeoui, Khalil, El Karoui, Khalil, Bouachi, Khedidja, Hue, Kheira, El Nasser, Khuzama, Akposso, Kodso, Kunz, Kristian, Bijak, Krzysztof, Kihal, Lilia, Rasoloarijaona, L., Harbouche, Laid, Bencheikh, Larbi, Lamriben, Larbie, Hanafi, Latifa, Parvez, Laura Braun, Champion, Laure, Croze, Laure, Eprinchard, Laure, Patrier, Laure, Nicolet, Laurence, Vrigneaud, Laurence, Duflot, Laurent, Mackaya, Leandre, Chenine, Leila, Odry, Leon, Tamiji, Lili Taghipour, Bouzar, Lilia Antri, Nga Messi, Liliane Ngango, Le Mouellic, Lionel, Mandart, Lise, Weis, Lise, Pouteau, Lise Marie, Georgieva, Lora, Vitanova, Lorita, Chalabi, Lotfi, Delvallez, Luc, Frimat, Luc, Fromentin, Luc, Marty, Luc, Monjot, Luc, Spataru, Luciana, Bessenay, Lucie, Boissinot, Lucie, Wajsbrot, Lucie, Rakoff, Lucien, Lebourg, Ludivine, Perez, Lydie, Lafage, Lyliane, Azzouz, Lynda, Dumoulin, Madeleine, Ouziala, Messaoud, Joseph, Maan, Brahimi, Mabrouk, Fat, Maeva Wong, Fort, Magalie, Nakhla, Magued, Abtahi, Mahdi, Albadawy, Mahen, Alouach, Mahmoud, Mezghani, Mahmoud, Daroux, Maite, Boukelmoune, Maklouf, Dhib, Malek, Touam, Malik, Dubau, Malina, Balde, Mamadou, Khoa, Man Nguyen, Ismer, Manfred, Mehdi, Manolie, Laforet, Manon, Bouiller, Marc, Eugene, Marc, Fila, Marc, Hazzan, Marc, Kribs, Marc, Ladriere, Marc, Lebot, Marc, Padilla, Marc, Souid, Marc, Marraoui, Marcel, Burbach, Maren, Manescu, Maria, Noguera Gonzalez, Maria Eugenia, Revenco, Mariana, Terrasse, Marianne, Essi, Marie, Macher, Marie Alice, Nogier, Marie Beatrice, Cazin, Marie Cecile, Schweitzer Camoin, Marie Christine, Thouret, Marie Christine, Hannaert, Marie Claude, Servel, Marie France, Chabannier, Marie Helene, Coudert Krier, Marie Jeanne, Catoliquot, Marie Noelle, Guillodo, Marie Paule, Gavard, Marie Sophie, Vairon Codaccioni, Marie Xaviere, Rabec, Marina, Freist, Marine, Gauthier, Marion, Lemaire, Marion, Mehrenberger, Marion, Venot, Marion, Pongas, Marios, Diant, Marlene Beaubrun, Levannier, Martial, Bertaux, Martine, Jablonski, Mathieu, Sacquepee, Mathieu, Dargelos, Mathilde, Lemoine, Mathilde, Tamain, Mathilde, Monge, Matthieu, Reberolle, Matthieu, Cousin, Maud, Francois, Maud, Baron, Maurice, Hoffmann, Maxime, Ingwiller, Maxime, Touzot, Maxime, Mohajer, Mederick, Maaz, Mehadji, Hanoy, Melanie, Marroc, Melanie, Cuny, Melodie, Van Der Straaten, Menno, Serveaux, Mf., Basteri, Michel, Chong, Michel Fen, Hecht, Michel, Massad, Michel, Normand, Michel, Olmer, Michel, Tolani, Michel, Tsimaratos, Michel, Hemery, Michele, Kessler, Michele, Esposito, Miguel, Shenouda, Milad, Kareche, Mimi, Khalili, Mina, Diaconita, Mirella, Rifard, Mohamad Khair, Aladib, Mohamed, Belmouaz, Mohamed, Brahim, Mohamed, Diouani, Mohamed, Cherif, Mohamed Fodil, Jamali, Mohamed, Maghlaoua, Mohamed, Meddeb, Mohamed, Ramdane, Mohamed, Rifaat, Mohamed, Islam, Mohamed Sharifull, Abbade, Mohamed Adnan, Amrandi, Mokhtar, Chawki, Mokhtar, Ciobotaru, Monica, Indrieis, Monica, Chanas, Monique, Hoarau, Monique, Tomeh, Monzer, Bellou, Moufida, Bouzernidj, Mouloud, Ammor, Mounia, Guergour, Mounir, Benzakour, Mountassir, Hachicha, Mourad, Coulibaly, Moussa, Smati, Mustafa, Al Morabiti, Mustapha, Amirou, Mustapha, Isnard, Myriam, Pastural, Myriam, Pujo, Myriam, Boumendjel, Nourredine, Majbri, Nabil, Goumri, Nabila, Mingat, Nadege, Bassilios, Nader, Kerkeni, Nadia, Sedrati, Nadia, Soltani, Nadia, Maroun, Nadine, Neyrat, Nadine, Luang, Nahn, El Esper, Najeh, Ammar, Naji, Ghali, Nasredine, Hamdini, Nasser, Noel, Natacha, Potelune, Natacha, Maisonneuve, Nathalie, Pertuiset, Nathalie, Raynal, Nathalie, Vittoz, Nathalie, Terki, Nazim, Castin, Nelly, Nankeu, Nestor, Bouvier, Nicolas, Keller, Nicolas, Legros, Nicolas, Peters, Nicolas, Quirin, Nicolas, Lefrancois, Nicole, Monnier, Nicole, Rance, Nicole, Bruckmann, Niels, Mertens, Noel, Lorcy, Nolwenn, Gilbert, Olivia, Coldefy, Olivier, Drouineau, Olivier, Dunand, Olivier, Fritz, Olivier, Imhoff, Olivier, Kourilsky, Olivier, Lavelle, Olivier, Moranne, Olivier, Papin, Olivier, Roques, Olivier, Le Maner, Ophelie, Benbrahim, Oussamah Fikri, Erina Torres, Pablo Antonio, Urena Torres, Pablo Antonio, Malvezzi, Paolo, Bindi, Pascal, Cluzel, Pascal, Fontanier, Pascal, Wheatley, Pascal, Depraetre, Pascale, Dubosq, Pascale, Halin, Pascale, Sebahoun, Pascale, Siohan, Pascale, Testevuide, Pascale, Deteix, Patrice, Nolen, Patrice, Hue, Patricia, Lemarchand, Patricia, Donnadieu, Patrick, Fievet, Patrick, Fohrer, Patrick, Francais, Patrick, Giraud, Patrick, Hallonet, Patrick, Henri, Patrick, Michaut, Patrick, Niaudet, Patrick, Pauly, Patrick, Thomas, Patrick, Deleaval, Patrik, Finielz, Paul, Stroumza, Paul, Yverneau, Paule Hardy, Caillard, Pauline, Palacin, Pedro, Aubertin, Perrine, Attias, Philippe, Brunet, Philippe, Chauveau, Philippe, Coindre, Philippe, Coste, Philippe, Dubot, Philippe, Fournier, Philippe, Hiernaux, Philippe, Jousset, Philippe, Yue Wah, Philippe Lan, Lang, Philippe, Le Cacheux, Philippe, Dupont, Philippe Martin, Michel, Philippe, Mirgaine, Philippe, Moriniere, Philippe, Nicoud, Philippe, Rieu, Philippe, Rousseau, Philippe, Sporer, Philippe, Thorel, Philippe, Vanhille, Philippe, Vigeral, Philippe, Zaoui, Philippe, Bataille, Pierre, Brignon, Pierre, Filipozzi, Pierre, Housset, Pierre, Peyronnet, Pierre, Ramperez, Pierre, Vautrin, Pierre, Michel, Pierre Alexandre, Westeel, Pierre Francois, Carron, Pierre Louis, Durand, Pierre Yves, Parent, Pierrot, Seniuta, Piotr, Kuentz, François, Fraoui, Rabah, Tetaz, Rachel, Amaria, Rachid, Bourouma, Rachid, Djeffal, Rachid, Nebbad, Rachida, Allal, Radia, Dimulescu, Radu, Boustani, Rafaat, Mesbah, Rafik, Makdassi, Raifat, Diab, Raji, Puslenghea, Raluca, Roura, Raoul, Khayat, Rateb, Azar, Raymond, Frayssinet, Raymond, Monkam, Regine, Boulahrouz, Rehouni, Boudet, Remi, Demontis, Renato, Gansey, Renaud, Cuvelier, Rene, Schmitt, Renee, Noordally, Reschad, Binaut, Reynald, Latif, Rezkallah, Dufresne, Richard, Montagnac, Richard, Reade, Richard, Genin, Robert, Novo, Robert, Fickl, Rocsana, Dufresne, Roger, Magnol, Roger, Issautier, Roland, Mortelette, Romain, Delaval, Ronan, Lohro, Ronan, M'barga, Roseline, Beau, S., Dupuis, Clémentine, Vidil, Marie Jacques, Hacini, Sabria, Dahmoune, Said, Lekhal, Saliha, Sakso, Salima Ahriz, Saksi, Salima, Citarda, Salvatore, Boubenider, Samir, Kassis, Samuel, Verhille, Sandra, Genestier, Sandrine, Muller, Sandrine, Krid, Saoussen, Richter, Sarah, Delbes, Sebastien, Mailliez, Sebastien, Veillon, Sebastien, Nony, Sébastien, Benarbia, Seddick, Beaudreuil, Severine, Benyaghla, Sidi Ali, Duquennoy, Simon, Baluta, Simona, Boncila, Simona, Mzoughi, Sonia, Ribal, Sonia, Acamer, Sophie, Chauvet, Sophie, Girerd, Sophie, Ozenne, Sophie, Parahy, Sophie, Duval, Sophie Rubens, Taque, Sophie, Menouer, Soraya, Chargui, Soumaya, Bataille, Stanislas, Barbier, Stephane, Billion, Stephane, Roueff, Stephane, Torner, Stephane, Martin, Stephane Jean, Coupel, Stephanie, Cloarec, Sylvie, Lavaud, Sylvie, Leou, Sylvie, Chatelet, T., Onesta, Tania, Benhabib, Tassadit, Bensalem, Tayeb, Dimulescu, Theodora, Sawadogo, Theophile, Hitze, Thibault Dolley, Baranger, Thierry, Boudemaghe, Thierry, Hannedouche, Thierry, Krummel, Thierry, Lobbedez, Thierry, Milcent, Thierry, Dervaux, Thomas, Guincestre, Thomas, Kofman, Thomas, Raphael, Thomas, Sadreux, Thomas, Ulinski, Tim, Roger, Tiphaine Guyon, Serrato, Tomas, Kofman, Tomek, Wong, Tony, Boubia, Toufik, Gbindoun, Ubald Assogba, Khuzaie, Usama, Caudwell, Valerie, Chatelet, Valerie, Crougneau, Valerie, De Precigout, Valerie, Drouillat, Valerie, Galantine, Valerie, Hugot, Valerie Granveau, Leroy, Valerie, Boubia, Veronique, Falque, Veronique, Fournier, Veronique, Queron, Veronique, Viviani, Veronique, Gueuttin, Victor, Panescu, Victor, Calonge, Victorio Menoyo, Nguyen, Viet, Allot, Vincent, Delattre, Vincent, Leduc, Vincent, Pradier, Vincent, Aglae, Violaine Emal, Badulescu, Viorica, Molina, Virginia, Besson, Virginie, Chaigne, Virginie, Jaber, Waddah, Boudi, Wael, El Haggan, Wael, Guillon, Wen Qin, Aneni, Wided Tabbi, Hanf, William, Kohn, Wladimir, Bellenfant, Xavier, Gaudry, Xavier Moreau, Delmas, Yahsou, Knefati, Yannick, Saingra, Yannick, Tirolien, Yannick, Mann, Youssef, Brunak, Yvan, Dimitrov, Yves, Doussy, Yves, Tanter, Yves, Benabid, Zaid, Soltani, Zaara, Boukerroucha, Zacharia, Takla, Zafer, Ramanantsialonina, Zana, Dickson, Zara, Tubail, Zead, Pour, Zoe Koochaki, Boukhalfa, Zohra, Jacquot, Zohra, Couchoud, Cécile, Bayer, Florian, Ayav, Carole, Béchade, Clémence, Chantrel, François, Galland, Roula, Hourmant, Maryvonne, and Mercadal, Lucile

Published
2020
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30. Assessing the Zone of Comfort in Stereoscopic Displays using EEG

Author

Frey, Jérémy, Pommereau, Léonard, Lotte, Fabien, and Hachet, Martin

Subjects
Computer Science - Human-Computer Interaction
Abstract

The conflict between vergence (eye movement) and accommodation (crystalline lens deformation) occurs in every stereoscopic display. It could cause important stress outside the "zone of comfort", when stereoscopic effect is too strong. This conflict has already been studied using questionnaires, during viewing sessions of several minutes. The present pilot study describes an experimental protocol which compares two different comfort conditions using electroencephalography (EEG) over short viewing sequences. Analyses showed significant differences both in event-related potentials (ERP) and in frequency bands power. An uncomfortable stereoscopy correlates with a weaker negative component and a delayed positive component in ERP. It also induces a power decrease in the alpha band and increases in theta and beta bands. With fast responses to stimuli, EEG is likely to enable the conception of adaptive systems, which could tune the stereoscopic experience according to each viewer.

Published
2014
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31. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks

Author

T. Verhoelst, S. Compernolle, G. Pinardi, J.-C. Lambert, H. J. Eskes, K.-U. Eichmann, A. M. Fjæraa, J. Granville, S. Niemeijer, A. Cede, M. Tiefengraber, F. Hendrick, A. Pazmiño, A. Bais, A. Bazureau, K. F. Boersma, K. Bognar, A. Dehn, S. Donner, A. Elokhov, M. Gebetsberger, F. Goutail, M. Grutter de la Mora, A. Gruzdev, M. Gratsea, G. H. Hansen, H. Irie, N. Jepsen, Y. Kanaya, D. Karagkiozidis, R. Kivi, K. Kreher, P. F. Levelt, C. Liu, M. Müller, M. Navarro Comas, A. J. M. Piters, J.-P. Pommereau, T. Portafaix, C. Prados-Roman, O. Puentedura, R. Querel, J. Remmers, A. Richter, J. Rimmer, C. Rivera Cárdenas, L. Saavedra de Miguel, V. P. Sinyakov, W. Stremme, K. Strong, M. Van Roozendael, J. P. Veefkind, T. Wagner, F. Wittrock, M. Yela González, and C. Zehner

Subjects
Environmental engineering, TA170-171, Earthwork. Foundations, TA715-787
Abstract

This paper reports on consolidated ground-based validation results of the atmospheric NO2 data produced operationally since April 2018 by the TROPOspheric Monitoring Instrument (TROPOMI) on board of the ESA/EU Copernicus Sentinel-5 Precursor (S5P) satellite. Tropospheric, stratospheric, and total NO2 column data from S5P are compared to correlative measurements collected from, respectively, 19 Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS), 26 Network for the Detection of Atmospheric Composition Change (NDACC) Zenith-Scattered-Light DOAS (ZSL-DOAS), and 25 Pandonia Global Network (PGN)/Pandora instruments distributed globally. The validation methodology gives special care to minimizing mismatch errors due to imperfect spatio-temporal co-location of the satellite and correlative data, e.g. by using tailored observation operators to account for differences in smoothing and in sampling of atmospheric structures and variability and photochemical modelling to reduce diurnal cycle effects. Compared to the ground-based measurements, S5P data show, on average, (i) a negative bias for the tropospheric column data, of typically −23 % to −37 % in clean to slightly polluted conditions but reaching values as high as −51 % over highly polluted areas; (ii) a slight negative median difference for the stratospheric column data, of about −0.2 Pmolec cm−2, i.e. approx. −2 % in summer to −15 % in winter; and (iii) a bias ranging from zero to −50 % for the total column data, found to depend on the amplitude of the total NO2 column, with small to slightly positive bias values for columns below 6 Pmolec cm−2 and negative values above. The dispersion between S5P and correlative measurements contains mostly random components, which remain within mission requirements for the stratospheric column data (0.5 Pmolec cm−2) but exceed those for the tropospheric column data (0.7 Pmolec cm−2). While a part of the biases and dispersion may be due to representativeness differences such as different area averaging and measurement times, it is known that errors in the S5P tropospheric columns exist due to shortcomings in the (horizontally coarse) a priori profile representation in the TM5-MP chemical transport model used in the S5P retrieval and, to a lesser extent, to the treatment of cloud effects and aerosols. Although considerable differences (up to 2 Pmolec cm−2 and more) are observed at single ground-pixel level, the near-real-time (NRTI) and offline (OFFL) versions of the S5P NO2 operational data processor provide similar NO2 column values and validation results when globally averaged, with the NRTI values being on average 0.79 % larger than the OFFL values.

Published
2021
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32. Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties

Author

S. Compernolle, T. Verhoelst, G. Pinardi, J. Granville, D. Hubert, A. Keppens, S. Niemeijer, B. Rino, A. Bais, S. Beirle, F. Boersma, J. P. Burrows, I. De Smedt, H. Eskes, F. Goutail, F. Hendrick, A. Lorente, A. Pazmino, A. Piters, E. Peters, J.-P. Pommereau, J. Remmers, A. Richter, J. van Geffen, M. Van Roozendael, T. Wagner, and J.-C. Lambert

Subjects
Physics, QC1-999, Chemistry, QD1-999
Abstract

The QA4ECV (Quality Assurance for Essential Climate Variables) version 1.1 stratospheric and tropospheric NO2 vertical column density (VCD) climate data records (CDRs) from the OMI (Ozone Monitoring Instrument) satellite sensor are validated using NDACC (Network for the Detection of Atmospheric Composition Change) zenith-scattered light differential optical absorption spectroscopy (ZSL-DOAS) and multi-axis DOAS (MAX-DOAS) data as a reference. The QA4ECV OMI stratospheric VCDs have a small bias of ∼0.2 Pmolec.cm-2 (5 %–10 %) and a dispersion of 0.2 to 1 Pmolec.cm-2 with respect to the ZSL-DOAS measurements. QA4ECV tropospheric VCD observations from OMI are restricted to near-cloud-free scenes, leading to a negative sampling bias (with respect to the unrestricted scene ensemble) of a few peta molecules per square centimetre (Pmolec.cm-2) up to −10 Pmolec.cm-2 (−40 %) in one extreme high-pollution case. The QA4ECV OMI tropospheric VCD has a negative bias with respect to the MAX-DOAS data (−1 to −4 Pmolec.cm-2), which is a feature also found for the OMI OMNO2 standard data product. The tropospheric VCD discrepancies between satellite measurements and ground-based data greatly exceed the combined measurement uncertainties. Depending on the site, part of the discrepancy can be attributed to a combination of comparison errors (notably horizontal smoothing difference error), measurement/retrieval errors related to clouds and aerosols, and the difference in vertical smoothing and a priori profile assumptions.

Published
2020
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33. Frédéric Lassere, Anne Choquet, and Camille Escudé-Joffres, Géopolitique des Pôles. Vers une appropriation des espaces polaires ? (Paris: Le Cavalier Bleu, 2021)

Author

Galadrielle Pommereau Guitard

Subjects
antarctica, arctic, law, geopolitics, governance, Social sciences (General), H1-99, Human ecology. Anthropogeography, GF1-900
Abstract

The book “Géopolitique des Pôles.” subtitled “Vers une appropriation des espaces polaires?” (“Polar geopolitics. Towards an appropriation of polar spaces?”, author’s translation) written by Frédéric Lasserre, Anne Choquet and Camille Escudé-Joffres is a general public book describing geopolitical polar dynamics, responding notably to the “Arctic Scramble” narratives and similar discourses of a war on resources at the poles. The book states very clearly and from the beginning that the authors consider the risk of conflict to be over-exaggerated, and even unrealistic. Drawing on the academic background of the authors, the book presents a geographical, political and legal overview of both the Arctic and Antarctic regimes of governance in layman’s language.

Published
2022
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36. Model Checking Contest @ Petri Nets, Report on the 2013 edition

Author

Kordon, Fabrice, Linard, Alban, Beccuti, Marco, Buchs, Didier, Fronc, Łukasz, Hillah, Lom-Messan, Hulin-Hubard, Francis, Legond-Aubry, Fabrice, Lohmann, Niels, Marechal, Alexis, Paviot-Adet, Emmanuel, Pommereau, Franck, Rodríguez, César, Rohr, Christian, Thierry-Mieg, Yann, Wimmel, Harro, and Wolf, Karsten

Subjects
Computer Science - Software Engineering
Abstract

This document presents the results of the Model Checking Contest held at Petri Nets 2013 in Milano. This contest aimed at a fair and experimental evaluation of the performances of model checking techniques applied to Petri nets. This is the third edition after two successful editions in 2011 and 2012. The participating tools were compared on several examinations (state space generation and evaluation of several types of formul{\ae} -- reachability, LTL, CTL for various classes of atomic propositions) run on a set of common models (Place/Transition and Symmetric Petri nets). After a short overview of the contest, this paper provides the raw results from the contest, model per model and examination per examination. An HTML version of this report is also provided (http://mcc.lip6.fr)., Comment: one main report (422 pages) and two annexes (1386 and 1740 pages)

Published
2013

39. Raw Report on the Model Checking Contest at Petri Nets 2012

Author

Kordon, F., Linard, A., Buchs, D., Colange, M., Evangelista, S., Fronc, L., Hillah, L. M., Lohmann, N., Paviot-Adet, E., Pommereau, F, Rohr, C., Thierry-Mieg, Y., Wimmel, H., and Wolf, K.

Subjects
Computer Science - Software Engineering
Abstract

This article presents the results of the Model Checking Contest held at Petri Nets 2012 in Hambourg. This contest aimed at a fair and experimental evaluation of the performances of model checking techniques applied to Petri nets. This is the second edition after a successful one in 2011. The participating tools were compared on several examinations (state space generation and evaluation of several types of formulae - structural, reachability, LTL, CTL) run on a set of common models (Place/Transition and Symmetric Petri nets). After a short overview of the contest, this paper provides the raw results from the context, model per model and examination per examination., Comment: 78 pages

Published
2012

40. Qualitative modelling and analysis of regulations in multi-cellular systems using Petri nets and topological collections

Author

Giavitto, Jean-Louis, Klaudel, Hanna, and Pommereau, Franck

Subjects
Computer Science - Computational Engineering, Finance, and Science, J3, I.6.5, I.6.4, D.2.2
Abstract

In this paper, we aim at modelling and analyzing the regulation processes in multi-cellular biological systems, in particular tissues. The modelling framework is based on interconnected logical regulatory networks a la Rene Thomas equipped with information about their spatial relationships. The semantics of such models is expressed through colored Petri nets to implement regulation rules, combined with topological collections to implement the spatial information. Some constraints are put on the the representation of spatial information in order to preserve the possibility of an enumerative and exhaustive state space exploration. This paper presents the modelling framework, its semantics, as well as a prototype implementation that allowed preliminary experimentation on some applications., Comment: In Proceedings MeCBIC 2010, arXiv:1011.0051

Published
2010
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41. Integration by Selective Area Growth of Multiple Semi‐Insulating Buried Heterostructure‐Distributed Feedback Lasers with Optimized Performance Over 100 nm in the O‐Band

Author

Afonso, Gustavo, primary, Cerulo, Giancarlo, additional, Vaissiere, Nicolas, additional, Vakarin, Vladyslav, additional, Elias, Antoine, additional, Fortin, Catherine, additional, Paret, Jean-François, additional, Lanteri, Delphine, additional, Mekhazni, Karim, additional, Pommereau, Frédéric, additional, and Decobert, Jean, additional

Published
2024
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42. Advancing drug discovery through assay development: a survey of tool compounds within the human solute carrier superfamily.

Author

Digles, Daniela, Ingles-Prieto, Alvaro, Dvorak, Vojtech, Mocking, Tamara A. M., Goldmann, Ulrich, Garofoli, Andrea, Homan, Evert J., Di Silvio, Alberto, Azzollini, Lucia, Sassone, Francesca, Fogazza, Mario, Bärenz, Felix, Pommereau, Antje, Zuschlag, Yasmin, Ooms, Jasper F., Tranberg-Jensen, Jeppe, Hansen, Jesper S., Stanka, Josefina, Sijben, Hubert J., and Batoulis, Helena

Subjects
DRUG discovery, HIGH throughput screening (Drug development), WEB portals, SMALL molecules, DRUG development, TRACKING radar
Abstract

With over 450 genes, solute carriers (SLCs) constitute the largest transporter superfamily responsible for the uptake and efflux of nutrients, metabolites, and xenobiotics in human cells. SLCs are associated with a wide variety of human diseases, including cancer, diabetes, and metabolic and neurological disorders. They represent an important therapeutic target class that remains only partly exploited as therapeutics that target SLCs are scarce. Additionally, many small molecules reported in the literature to target SLCs are poorly characterized. Both features may be due to the difficulty of developing SLC transport assays that fulfill the quality criteria for high-throughput screening. Here, we report one of the main limitations hampering assay development within the RESOLUTE consortium: the lack of a resource providing high-quality information on SLC tool compounds. To address this, we provide a systematic annotation of tool compounds targeting SLCs. We first provide an overview on RESOLUTE assays. Next, we present a list of SLC-targeting compounds collected from the literature and public databases; we found that most data sources lacked specificity data. Finally, we report on experimental tests of 19 selected compounds against a panel of 13 SLCs from seven different families. Except for a few inhibitors, which were active on unrelated SLCs, the tested inhibitors demonstrated high selectivity for their reported targets. To make this knowledge easily accessible to the scientific community, we created an interactive dashboard displaying the collected data in the RESOLUTE web portal (https://re-solute.eu). We anticipate that our openaccess resources on assays and compounds will support the development of future drug discovery campaigns for SLCs. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Trends in polar ozone loss since 1989: potential sign of recovery in the Arctic ozone column

Author

Pazmiño, Andrea, primary, Goutail, Florence, additional, Godin-Beekmann, Sophie, additional, Hauchecorne, Alain, additional, Pommereau, Jean-Pierre, additional, Chipperfield, Martyn P., additional, Feng, Wuhu, additional, Lefèvre, Franck, additional, Lecouffe, Audrey, additional, Van Roozendael, Michel, additional, Jepsen, Nis, additional, Hansen, Georg, additional, Kivi, Rigel, additional, Strong, Kimberly, additional, and Walker, Kaley A., additional

Published
2023
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44. TROPOMI/S5P total ozone column data: global ground-based validation and consistency with other satellite missions

Author

K. Garane, M.-E. Koukouli, T. Verhoelst, C. Lerot, K.-P. Heue, V. Fioletov, D. Balis, A. Bais, A. Bazureau, A. Dehn, F. Goutail, J. Granville, D. Griffin, D. Hubert, A. Keppens, J.-C. Lambert, D. Loyola, C. McLinden, A. Pazmino, J.-P. Pommereau, A. Redondas, F. Romahn, P. Valks, M. Van Roozendael, J. Xu, C. Zehner, C. Zerefos, and W. Zimmer

Subjects
Environmental engineering, TA170-171, Earthwork. Foundations, TA715-787
Abstract

In October 2017, the Sentinel-5 Precursor (S5P) mission was launched, carrying the TROPOspheric Monitoring Instrument (TROPOMI), which provides a daily global coverage at a spatial resolution as high as 7 km × 3.5 km and is expected to extend the European atmospheric composition record initiated with GOME/ERS-2 in 1995, enhancing our scientific knowledge of atmospheric processes with its unprecedented spatial resolution. Due to the ongoing need to understand and monitor the recovery of the ozone layer, as well as the evolution of tropospheric pollution, total ozone remains one of the leading species of interest during this mission. In this work, the TROPOMI near real time (NRTI) and offline (OFFL) total ozone column (TOC) products are presented and compared to daily ground-based quality-assured Brewer and Dobson TOC measurements deposited in the World Ozone and Ultraviolet Radiation Data Centre (WOUDC). Additional comparisons to individual Brewer measurements from the Canadian Brewer Network and the European Brewer Network (Eubrewnet) are performed. Furthermore, twilight zenith-sky measurements obtained with ZSL-DOAS (Zenith Scattered Light Differential Optical Absorption Spectroscopy) instruments, which form part of the SAOZ network (Système d'Analyse par Observation Zénitale), are used for the validation. The quality of the TROPOMI TOC data is evaluated in terms of the influence of location, solar zenith angle, viewing angle, season, effective temperature, surface albedo and clouds. For this purpose, globally distributed ground-based measurements have been utilized as the background truth. The overall statistical analysis of the global comparison shows that the mean bias and the mean standard deviation of the percentage difference between TROPOMI and ground-based TOC is within 0 –1.5 % and 2.5 %–4.5 %, respectively. The mean bias that results from the comparisons is well within the S5P product requirements, while the mean standard deviation is very close to those limits, especially considering that the statistics shown here originate both from the satellite and the ground-based measurements. Additionally, the TROPOMI OFFL and NRTI products are evaluated against already known spaceborne sensors, namely, the Ozone Mapping Profiler Suite, on board the Suomi National Polar-orbiting Partnership (OMPS/Suomi-NPP), NASA v2 TOCs, and the Global Ozone Monitoring Experiment 2 (GOME-2), on board the Metop-A (GOME-2/Metop-A) and Metop-B (GOME-2/Metop-B) satellites. This analysis shows a very good agreement for both TROPOMI products with well-established instruments, with the absolute differences in mean bias and mean standard deviation being below +0.7 % and 1 %, respectively. These results assure the scientific community of the good quality of the TROPOMI TOC products during its first year of operation and enhance the already prevalent expectation that TROPOMI/S5P will play a very significant role in the continuity of ozone monitoring from space.

Published
2019
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45. 25 Gb/s Colorless Transmitter Based on Reflective Electroabsorption Modulator for Ultra-Dense WDM-PON Application

Author

Atra, Kebede, primary, Cerulo, Giancarlo, additional, Provost, Jean-Guy, additional, Mekhazni, Karim, additional, Calo, Cosimo, additional, Pommereau, Frederic, additional, Gomez, Carmen, additional, Fortin, Catherine, additional, Decobert, Jean, additional, Martin, Florence, additional, Derouin, Estelle, additional, Caillaud, Christophe, additional, Erasme, Didier, additional, Ware, Cédric, additional, Mallecot, Franck, additional, and Achouche, Mohand, additional

Published
2020
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46. Is the Severity of the Clinical Expression of Anorexia Nervosa Influenced by an Anxiety, Depressive, or Obsessive-Compulsive Comorbidity Over a Lifetime?

Author

Elise Riquin, Agathe Raynal, Lama Mattar, Christophe Lalanne, France Hirot, Caroline Huas, Jeanne Duclos, EVHAN group, Sylvie Berthoz, Nathalie Godart, Hélène Roux, Marie Raphaële Thiébaud, Sarah Vibert, Tamara Hubert, Annaig Courty, Damien Ringuenet, Jean-pierre Benoit, Corinne Blanchet, Marie Rose Moro, Laura Bignami, Clémentine Nordon, Frédéric Rouillon, Solange Cook, Catherine Doyen, Marie-Christine Mouren Siméoni, Priscille Gerardin, Sylvie Lebecq, Marc-Antoine Podlipski, Claire Gayet, Malaika Lasfar, Marc Delorme, Xavier Pommereau, Stéphanie Bioulac, Manuel Bouvard, Jennifer Carrere, Karine Doncieux, Sophie Faucher, Catherine Fayollet, Amélie Prexl, Stéphane Billard, François Lang, Virginie Mourier-Soleillant, Régine Greiner, Aurélia Gay, Guy Carrot, Sylvain Lambert, Morgane Rousselet, Ludovic Placé, Jean-luc Venisse, Marie Bronnec, Bruno Falissard, Christophe Genolini, Christine Hassler, Jean-Marc Tréluyer, Olivier Chacornac, Maryline Delattre, Nellie Moulopo, Christelle Turuban, and Auger Christelle

Subjects
anorexia nervosa, anxiety, depression, nutritional status, body mass index, Psychiatry, RC435-571
Abstract

Purpose: The relationship between anxiety or depressive comorbidities, their chronology of onset, and the severity of anorexia nervosa (AN) is not well-studied. We hypothesize that the existence of a comorbidity, particularly before the onset of AN, is associated with greater severity of AN.Methods: One hundred seventy-seven subjects were assessed. The prevalence of major depressive disorder (MDD), obsessive-compulsive disorder (OCD), generalized anxiety disorder (GAD), and social phobia (SP) as well as their chronology of onset were studied. The assessment criteria of AN severity were the overall clinical condition, body mass index (BMI) on admission, lowest BMI, intensity of the eating symptoms, age at the onset of AN, illness duration, number of hospitalizations, and quality of life.Results: Patients with AN had the greatest clinical severity when they had a comorbid disorder over their lifetime, such as MDD, GAD, or SP. These comorbidities along with OCD were associated with a higher level of eating symptoms and a more altered quality of life. A profile of maximum severity was associated with a higher prevalence of MDD and GAD. Concerning the chronology of onset, the age at the start of AN was later in cases of MDD or GAD prior to AN.Conclusion: There seems to be an association between severity of AN and both MDD and GAD. The chronology of onset of the comorbidity did not seem to be associated with the severity.

Published
2021
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49. The DREAMS experiment flown on the ExoMars 2016 mission for the study of Martian environment during the dust storm season

Author

Harri, A.-M., Montmessin, F., Wilson, C., Rodríguez, I. Arruego, Abbaki, S., Apestigue, V., Bellucci, G., Berthelier, J.-J., Calcutt, S.B., Forget, F., Genzer, M., Gilbert, P., Haukka, H., Jiménez, J.J., Jiménez, S., Josset, J.-L., Karatekin, O., Landis, G., Lorenz, R., Martinez, J., Möhlmann, D., Moirin, D., Palomba, E., Patel, M., Pommereau, J.-P., Popa, C.I., Rafkin, S., Rannou, P., Renno, N.O., Schmidt, W., Simoes, F., Spiga, A., Valero, F., Vázquez, L., Vivat, F., Witasse, O., Bettanini, C., Esposito, F., Debei, S., Molfese, C., Colombatti, G., Aboudan, A., Brucato, J.R., Cortecchia, F., Di Achille, G., Guizzo, G.P., Friso, E., Ferri, F., Marty, L., Mennella, V., Molinaro, R., Schipani, P., Silvestro, S., Mugnuolo, R., Pirrotta, S., and Marchetti, E.

Published
2018
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50. Humoral response after SARS-CoV-2 mRNA vaccines in dialysis patients: Integrating anti-SARS-CoV-2 Spike-Protein-RBD antibody monitoring to manage dialysis centers in pandemic times.

Author

Thomas Bachelet, Jean-Philippe Bourdenx, Charlie Martinez, Simon Mucha, Philippe Martin-Dupont, Valerie Perier, and Antoine Pommereau

Subjects
Medicine, Science
Abstract

Dialysis patients are both the most likely to benefit from vaccine protection against SARS-CoV-2 and at the highest risk of not developing an immune response. Data from the medical field are thus mandatory. We report our experience with a BNT162b2-mRNA vaccine in a retrospective analysis of 241 dialysis patients including 193 who underwent anti-Spike-Protein-Receptor-Binding-Domain (RBD) IgG analysis. We show that a pro-active vaccine campaign is effective in convincing most patients to be vaccinated (95%) and frequently elicits a specific antibody response (94.3% after two doses and 98.4% after three doses). Only immunocompromised Status is associated with lack of seroconversion (OR 7.6 [1.5-38.2], p = 0.02). We also identify factors associated with low response (last quartile; IgG7000AU/mL): age; previous SARS-CoV-2 infection and active Cancer. From this experience, we propose a strategy integrating anti-spike IgG monitoring to guide revaccination and dialysis center management in pandemic times.

Published
2021
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