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39 results on '"Lafond, S."'

1. Addressing the gap for racially diverse research involvement: The King's Model for minority ethnic research participant recruitment

Author

Ray Chaudhuri, K., primary, Podlewska, A., additional, Hui Lau, Yue, additional, Gonde, C., additional, McIntosh, A., additional, Qamar, M.A., additional, O'Donoghue, S., additional, Larcombe, K., additional, Adeeko, M., additional, Gupta, A., additional, Bajwah, S., additional, Lafond, S., additional, Awogbemila, O., additional, van Coller, R., additional, Murtagh, A.M., additional, and Ocloo, J.E., additional

Published
2023
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4. Evaluating System Identification Methods for Predicting Thermal Dissipation of Heterogeneous SoCs

Author

��hrling, Joel, Lafond, S��bastien, and Truscan, Dragos

Subjects
FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)
Abstract

In this paper we evaluate the use of system identification methods to build a thermal prediction model of heterogeneous SoC platforms that can be used to quickly predict the temperature of different configurations without the need of hardware. Specifically, we focus on modeling approaches that can predict the temperature based on the clock frequency and the utilization percentage of each core. We investigate three methods with respect to their prediction accuracy: a linear state-space identification approach using polynomial regressors, a NARX neural network approach and a recurrent neural network approach configured in an FIR model structure. We evaluate the methods on an Odroid-XU4 board featuring an Exynos 5422 SoC. The results show that the model based on polynomial regressors significantly outperformed the other two models when trained with 1 hour and 6 hours of data., arXiv admin note: substantial text overlap with arXiv:2104.10387

Published
2021

8. Le partenariat INRA-CEP INNOVATION-NOVADI: Bases contractuelles et stratégies associées

Author

Garmendia, Laurence, Grillet, E., Lafond, S., Unité de gestion du département de génétique et amélioration des plantes, Institut National de la Recherche Agronomique (INRA), NOVADI, and CEP Innovation

Subjects
édition exclusive, [SDV]Life Sciences [q-bio], partenariat, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, contrats
Abstract

Colloque du 5 Novembre à Angers : variétés nouvelles et modes de culture adaptés, Colloque du 26 novembre 2009 à Lyon; National audience; INRA (by the way of its subsidiary Agri Obtentions) signed in 2008 two edition agreements for 10 years. The first one was signed with CEP INNOVATION (Ltd.) gathering most of the French fruit tree nursery companies involved in the French fruit certification regarding several fruit species. The second one was signed with NOVADI (Ltd) founded in 1997 by 16 French nursery companies aiming at developing a series of apple cultivars of good eating quality, naturally resistant to the most common diseases. Through thse edition agreements, INRA gives the exclusivity on the edition, propagation and development for its fruit material in France and also in foreign countries. These agreements create a new dynamics for INRA fruit varieties promotion and testing in France and all over the world. It underlines the existence of a successful partnership between public and private sectors regarding fruit production sustainability. This is relevant with the framework of the French governmental initiative called “Grenelle de l’Environnement”.; Une nouvelle dynamique a été mise en place pour la promotion et l’expérimentation des variétés INRA grâce à la signature en 2008 des deux contrats d’édition liant pour l’un l’INRA et sa filiale Agri Obtentions (AO) à CEP INNOVATION Sarl, associant 32 pépiniéristes, concernant plusieurs espèces fruitières et pour l’autre l’INRA et sa filiale AO à NOVADI Sarl, regroupant 16 des 32 pépiniéristes de CEP INNOVATION, concernant spécifiquement le pommier. Par ces contrats, CEP INNOVATION et NOVADI deviennent éditeurs exclusifs du matériel développé par l’INRA non plus seulement en France mais aussi à l’étranger. Pour l’INRA, l’objectif est de mettre ses obtentions à disposition des professionnels à travers la certification fruitière afin de garantir une authenticité variétale et un état sanitaire irréprochable et d’assurer une bonne visibilité des résultats issus de la recherche publique aux niveaux national et international. A travers ces contrats, et au-delà de l’édition des nouvelles variétés, il s’agit, plus largement, de mettre en place une véritable stratégie de partenariat entre le secteur public et le secteur privé basée sur la mise en oeuvre commune d’un verger durable et assurant une production de qualité. Cette stratégie s’inscrit dans la démarche initiée par le Grenelle de l’Environnement.

Published
2009

10. Breeding for compatible apricot rootstocks cumulating resistance to plum pox virus and root-knot nematodes: the P x Dasycarpa way

Author

Poessel, Jean-Luc, Faurobert, Mireille, Esmenjaud, Daniel, Dirlewanger, Elisabeth, Lemoine, Marie-Claude, Gurrieri, F., MICHELOT, P., Lafond, S., Génétique et Amélioration des Fruits et Légumes (GAFL), Institut National de la Recherche Agronomique (INRA), Interactions plantes-microorganismes et santé végétale (IPMSV), Institut National de la Recherche Agronomique (INRA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Unité de recherches Espèces Fruitières et Vigne (UREFV), and Pré-développement in vitro

Subjects
[SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2001

17. Effect of inhibition of hepatic fatty acid oxidation on metabolic and hormonal responses to exercise in rats

Author

S. Cardin, R. Helie, Bolduc L, N. Yamaguchi, Bergeron R, Jean-Marc Lavoie, Lafond S, and F. Trabelsi

Subjects
Blood Glucose, Male, medicine.medical_specialty, Normal diet, medicine.medical_treatment, Hydroxybutyrates, Physical Therapy, Sports Therapy and Rehabilitation, Physical exercise, Biology, Glucagon, Rats, Sprague-Dawley, Internal medicine, Physical Conditioning, Animal, medicine, Animals, Insulin, Orthopedics and Sports Medicine, Beta oxidation, Pancreas, Pancreatic hormone, Swimming, chemistry.chemical_classification, 3-Hydroxybutyric Acid, Fatty Acids, Fatty acid, Rats, Epinephrine, Endocrinology, chemistry, Liver, Adrenal Medulla, Thioglycolates, Oxidation-Reduction, Glycogen, medicine.drug
Abstract

The purpose of the present study was to assess the effects of 2-mercaptoacetate (MA), an inhibitor of hepatic fatty acid oxidation, on the metabolic and pancreatic hormone response to a prolonged (3 h) swimming exercise. All rats were first adrenodemedullated and were either submitted for 3 weeks to a normal (5% fat) or a medium-fat diet (MF; 18% fat). After being submitted to an exercise swimming habituation programme for one week, rats under both dietary conditions were either injected with a bolus dose of MA (600 mumol/kg; ip) or with a saline solution. MA and saline injected rats were either sacrificed after a 3-h swimming exercise or after a 3-h resting period. Administration of MA was associated with a lower level of beta-hydroxybutyrate after exercise in rats fed the MF diet, higher resting and exercising blood glucose levels in rats fed the MF diet, and higher resting and exercising levels of hepatic glycogen in rats fed a normal diet. There were, however, no significant effects of MA on free fatty acid, insulin, glucagon, epinephrine, and norepinephrine concentrations in both dietary conditions either at rest or after exercise. Therefore, the present data do not provide any evidence that the administration of MA, an inhibitor of hepatic fatty acid oxidation, influences the pancreatic hormonal response to exercise. There was also no evidence of a lowering effect of MA on blood glucose levels during exercise.

Published
1994

25. Comparative analysis of FoxP3+ regulatory T cells in the target tissues and blood in chronic graft versus host disease.

Author

Imanguli, M M, Cowen, E W, Rose, J, Dhamala, S, Swaim, W, Lafond, S, Yagi, B, Gress, R E, Pavletic, S Z, and Hakim, F T

Subjects
T cells, INFLAMMATION, GRAFT versus host disease, CD3 antigen, CHEMOKINE receptors
Abstract

Activation and migration of regulatory T cells (Treg) into tissue is critical in control of inflammation, but has not been examined extensively in chronic graft versus host disease (cGVHD). In parallel studies of tissues and blood, we determined that FoxP3+ T cells increased in proportion to T effectors (Teff) in tissue infiltrates in oral and cutaneous lichenoid cGVHD. These FoxP3+ cells expressed distinguishing phenotypic and functional markers of Treg (CD3+, CD4+, CD27+, ICOS+ and CD39+), not found on FoxP3− Teff. Both Teff and FoxP3+ Treg expressed T-bet and the chemokine receptor CXCR3, however, consistent with a common mechanism of chemokine-mediated migration into tissue. Furthermore, functional markers (ICOS and CD39) and chemokine receptors (CXCR3) were both present in a higher proportion of FoxP3+ cells in tissues than in peripheral blood, consistent with recruitment and activation of Treg in cGVHD target tissues. Finally, the 'activated' CD45RA−FoxP3hi subset of Treg cells, which highly express functional markers, were found in comparable frequencies in cGVHD patients and normal controls, despite a significant deficit in naive 'resting' Treg. These findings are consistent with Treg capacity to upregulate functional markers and traffick into tissue in cGVHD. [ABSTRACT FROM AUTHOR]

Published
2014
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30. Safe motor controller in a mixed-critical environment with runtime updating capabilities

Author

Gutiérrez-Rivas, J. L., Holmbacka, S., Méndez-Mac, M., Lund, W., Lafond, S., Johan Lilius, and D´ıaz-Alonso, J.

Subjects
Mixed Critical, real-time operating system, runtime updating mechanism, Safety Critical, isolation, FPGA
Abstract

Safety-critical systems and certification standards are the bare essential elements for the development process of avionics, automotive and industrial embedded systems. The necessity of including non-safety capabilities to reduce the price of these systems has resulted in a new type of critical systems, the mixed-criticality ones. These systems should be able to execute safety-critical applications but, at the same time, to run non-safety-critical functionalities without affecting the integrity of the safety-critical tasks. This paper presents a new system architecture which includes safety-critical and non-safety-critical parts in order to form a mixed-criticality system. The system consists of a reliable platform with a dual-core processor (implemented using a FPGA) architecture designed as open-hardware, running two isolated real-time operating systems which are connected through a safe core-to-core communication channel that executes the safety-critical applications. Moreover, the safety-critical system is connected to an external processor, an ARM9, which is used as an external sensing system. The ARM9 runs the non-safety-critical applications and allows the system to insert modifications updating without affecting the safety capabilities of the safety-critical part. This platform is described providing evidences of the isolation between safety-critical (SC) and non-safety-critical (NSC) applications, as well as describing an updating methodology for non-safety-critical applications. This system is validated using a complete and reliable application for safe emergency stop applications for industrial machinery.

31. Risk factors for Coronavirus Disease 2019 (COVID-19) severity and mortality among solid cancer patients and impact of the disease on anticancer treatment: A French nationwide cohort study (GCO-002 CACOVID-19)

Author

Astrid Lièvre, Anthony Turpin, Isabelle Ray-Coquard, Karine Le Malicot, Juliette Thariat, Guido Ahle, Cindy Neuzillet, Xavier Paoletti, Olivier Bouché, Kais Aldabbagh, Pierre Michel, Didier Debieuvre, Anthony Canellas, Marie Wislez, Lucie Laurent, May Mabro, Raphael Colle, Anne-Claire Hardy-Bessard, Laura Mansi, Emeline Colomba, Jean Bourhis, Philippe Gorphe, Yoann Pointreau, Ahmed Idbaih, Renata Ursu, Anna Luisa Di Stefano, Gérard Zalcman, Thomas Aparicio, Solenne Moulin, Olivier Leleu, Sylvie Leparree, Henri Goasdoue, Christine Piprot, Gerald Tourneur, Vincent Bayart, Delphine Lignier, Emma Lachaier, Marwa Khamari, Alexandre Coutte, Nicolas Siembida, Aline Houessinon, Jean Marc Regimbeau, Bruno Chauffert, Aurélie Moreira, Vincent Hautefeuille, Christine Hee, Mathieu Boone, Céline Bihan, Emilie Chive, Stéphane Poulet-Potriquier, Rachida Fahem, Dominique Luet, Guillaume Roquin, Carole Vitellius, Nathanaëlle Cornet-Trichereau, François-Xavier Caroli-Bosc, Anne Thirot-Bidault, Stanislas Ropert, Julie Gachet - Masson, Mélanie Dehais, Gwen-Ael L'helgoualc'h, Ibrahim Ali-Mahamadou, Safia Talfi, Laure Belmont, Dieudonné Kilendo, Nasro Benrezzak, Emeline Dubief, Guillaume Conroy, Laurence Delique, Maud Basso, Isabelle Pons, Karine Salignon, Anne-Laure Villing, Emmanuelle Mougenot, Cassandra Porebski, Asma Guiatni, Nicolas Cloarec, Laurent Mineur, Marie Bouchaud, Céleste David, Annie Peytier, Thomas Greletty, Franck Audemar, Emanuelle Vignes, Floriane Minne, Guillaume Goldzak, Fabienne Huysman, Fayçal Hocine, Zaher Lakkis, Guillaume Meynard, Hamadi Almotlak, Elodie Klajer, Xu-Shan Sun, Julie Wasselin, Pascale Catala, Claire Mazuy, Hélène Vandamme, Jean-Briac Prevost, Aurélie Fadin, Laurent Basson, Jean-Baptiste Huguet, Emmanuelle Dos Santos, Bérangère Jany, Alain Saad, Frédéric Goutorbe, Eric Oziol, Mohamed Ramdani, Ouafae Kadiri, Delphine Garbay, Clotilde Huet, Etienne Giroux Leprieur, Wen Teng, Justine Monvoisin, Patrick Arnaud Coffin, Sylvie Roux, Hubert Orfeuvre, Mélanie Chagros, Didier Pillon, Agathe Rassoul, Pierre Guillaume Poureau, Cécile Novello, François Ducray, Cécile Trouba, Vianney Bastit, Emmanuel Babin, Vincent Leon, Anne-Catherine Courtecuisse, Julie Vambre, Vincent Tack, Christophe Desauw, Fatima Meniai, Christina Peres, Aurélie Esparcieux, Hervé Perrier, Nathalie Doux, Régis Kaphan, Bertrand Roques, Christine Rebischung, Dominique Mille, Gaëlle Fernandes, Naceur Abdelli, Natacha Jousset, Pierre Combe, Eric Jonveaux, Patrick Dumont, Marc Kanaan, Corinne Berthelot Gras, Valérie Panis, Laure Kaluzinski, Marjolène Venant-Valery, You-Heng Lam, Laura Vallee, Frédéric Riviere, Muriel Durand, Dihya Benghadid, Emilie Villeneuve, Olivia Hentic Dhome, Zedjiga Bounouar, Louis De Mestier, Jacqueline Dubois, Magali Eyriey, Lionel Moreau, Dib Baihas, Kaïs Aldabbagh, Dominique Degriffolet, Virginie Sebbagh, Jean-Christophe Seghezzi, Marion Lozach-Brugirard, Julie Mandrou, Loubna Mavier, Florence Hennetier, Jean-Philippe Wagner, Elisabeth Carola, Karthiga Chandirakumaran, Sandrine Loutski, Isabelle Cojean-Zelek, Amina Bouras, Sandrine Lacour, Fahem Froura, Hadjer Ben Nadji, Sophie Cattelain, Franck Darloy, Geneviève Jolimoy Boilleau, Cyrielle Maissiat, Ariane Darut-Jouve, Véronique Lorgis, Ikram Charifi-Alaoui, François Ghiringhelli, Antoine Drouillard, Marie Chaix, Sylvain Manfredi, Côme Lepage, Alice Gagnaire, Marianne Latournerie, Sofia jourdan, Nora Perrot, Mireille folia, Anne Minello, Jean-Louis Jouve, Marielle Fery, Alain Landau, Diane Evrard, Bruno Valenza, Jean-François Paitel, Laetitia Chablais, Thomas Kreitmann, Laurence Lancry-Lecomte, Adrien Monard, Eve Faugeras, Paul Boucheret, Cécile Glommeau, Christine Tchikladze, Claire Garnier Tixidre, Jérôme Long, Manel Zaidi, Véronique Delabarre, Juliette Meyzenc, Loïc Ferrand, Denis Moro-Sibilot, Paul Bouheret, Cécile Leyronnas, Camille Herve, Audrey Thoor, Emanuelle Jacquet, Gaël Roth, Videsheka Madapathage-Senanyake, Peggy Chupeau, Elsa Bieber, Maud Rosso, Isabelle Lepage, Frank Priou, Margot Laly, Sylvie Aprelon, Natacha Sobolak, Helen Homokos, Fabienne Watelle, Alice Pham-Becker, Géraldine Lauridant, Charlotte Dujardin, Etienne Lenglin, Aimée Nienguet Tsota, Sophie Dominguez, Alexandra Forestier, Franck Nouvel, Justine Lerooy, Céline Ratajczak, Olivier Romano, Dorothéee Brzyski, Aurélien Barriere, Dominique Genet, Julien Tisse, Xavier Zasadny, Adeline Grelet, Amélie Hennion-Imbault, Eglantine Haustraete, Samy Louafi, Manal Awad, Younes Zekri, Caroline Cheneau, Nolwen Leissen, Joëlle Egreteau, Alexandra Breant, Matthieu Sarabi, Stéphanie Labonne, Julien Forestier, Céline Leclercq, Florence Prunier-Bossion, Isabelle Ray Coquard, Marielle Guillet, Aurélie Theillaumas, Emilie Prome, Thomas Walter, Pierre Philouze, Melody Lawo, Solène De Talhouet, Johanne Beuvelot, Yann Molin, Marie Bellecoste Martin, Maud Saussereau, Lauren Agnelli, Nicolas Fakhry, Christophe Laplace, Emmanuelle Norguet Monnereau, Céline Boucard, Kahina Djenad, Catherine Fontaine, Jean-François Seitz, Laétitia Dahan, Julie Sigrand, Muriel Duluc, Christophe Locher, Marjory Fleury, Ange Brou Marie, Ramdane Berkane, Séverine Poupblanc, Dominique Auby, Daniela Petran, Patrick Texereau, Elodie Guerineau, Morgan Andre, Linda Mahjoubi, Fanny Sarrazin, Sonia Jeanson, Anthony Gschwend, Virginie Birr, Mathieu Fore, Monique Noirclerc, Sihem Dahou, Dominique Spaeth, Mélanie Lambotin, Thomas Lelu, Benjamin Linot, Nathalie Hugon, Dominique Rousseau, Hélène Castanie, Carole Lenne, Alain Lortholary, Anatole Cessot, Messaouda Merzoug, Cécile Naudin, Jean-Michel Vannetzel, Ghina Aziz, Yacine Hadj Arab, Stéphanie Pernes, Isabelle Roche-Lachaise, Frédéric Fiteni, Hadjer Yahiaoui, Gwendoline Marel Lopez, Jeanne Oddoz, Fabienne Peira, Olivier Michel, Jérôme Meunier, Brahim Ouahrani, Antoine Roger, Sonia Branco, Van Nguyen, Mathilde Gisselbrecht, Ghania Hammad, Pierre Mordant, Magda Stroksztejn, Marc Pocard, Luc Nlo Meyengue, Emmanuelle Sacco, Sophie Simon Anne, Elizabeth Fabre-Guillevin, Marine Slim, Aziz Zaanan, Jacques Cadranel, Johan Pluvy, Rénata Ursu, Amyrath Geraldo, Rime Lihi, Maryline Vo, Zohra Brouk, Raphaël Colle, Mostefa Bennamoun, Fabrice Lacan, Christophe Louvet, Soraya Mebarki, Marianne Veyri, Elena Paillaud, Christelle Lucas, Olivier Dubreuil, Jamila Lyamani, Hanane Agguini, Emilie Soularue, Clément Jourdaine, Benjamin Verillaud, Hakima Herzine, Eric Raymond, Nathalie Mathiot, Lola Jade Palmieri, Christian Epanya, Julien Taieb, Eliane Bertrand, Gaël Goujon, Céline Namour, Benoit Gazeau, Biljana Zafirova, Haitham Mirghani, Catherine Belin, Kahina Belkhir, Myriam Gharib, Aurore Vozy, Karim Amrane, Jean-Philippe Spano, Johanna Wassermann, Loic Feuvret, Jean-Baptiste Bachet, Sara Philonenko, Laetitia Guillot, Marion Zabbe, Stéphanie Gibiat, Camille Baylot, Aude Jouinot, Nicolas Leduc, Sabine Vieillot, Laurie James, Camille Ducerf, Jean-Frédéric Blanc, Claire Falandry Leger, Virginie Wautot, Marion Chauvenet, Aude Vincent, David Tougeron, Sandrine Goulvent, Etienne Suc, Anne-Pascale Laurenty, Eric Marquis, Margaux Bonnaire, Maxime Dewolf, Esteban Brenet, Delphine Billard, Claude-Fabien Litre, Antoine Dumazet, Damien Botsen, Marion Vazel, Claire Carlier, David Bonnerave, Charles Marchand-Crety, Olivier Bouche, Patricia Fosse, David Sefrioui, Sarah Watson, Fatah Torche, Thierry Muron, Stéphane Natur, Romain Desgrippes, Véronique Bihel, François-Régis Ferrand, Caroline Leiterer, Julie Lavole, Claire Moquet, Nathalie Pressoir, Catherine Dziukala, Catherine Ligeza Poisson, Abdelhalim Naji, Nicolas Williet, Jean-Marc Phelip, Fabrice Di Palma, Amina Kherrour Mehdi, Julien Langrand-Escure, Pierre Fournel, Grégoire Pigne, Léa Saban-Roche, Nicolas Magne, Cécile Vassal, Jean-Philippe Jacquin, Carole Ramirez, Alexis Vallard, Olivier Collard, Romain Rivoirard, Ivan Graber, Stéphanie Trager Maury, Elodie Duboisset, Jorge Ayllon Ugarte, Dalilia Rami, Christine Saler, Manon Reinbolt, Clara Le Fevre, Meher Ben Abdelghani, Louis-Marie Dourthe, Joffrey Perruisseau-Carrier, Marlène Nguimpi-Tambou, Flavie Barret, Luisa Di Stefano Anna, Annie Balthazard, Camille Vassord-Dang, Mathilde Le Marchand, Julien Vergniol, Iulia Pripon, Axelle Daemaegdt, Vanessa Latry, Muna Larrieu, Gaëlle Landry, Laetitia Touihri Maximin, Francesco Del Piano, Agnès Barlet, Mylène Vernisse, Sophie Lafond, Charline Genin, Camille Sibertin-Blanc, Emilien Chabrillac, Caroline Gregoire, Sébastien Vergez, Quentin Panouille, Rosine Guimbaud, Floriane Richa, Loïc Lebellec, Sophie Gounin, Guillaume Buiret, Marine Baudin, Hervé Hamon, Anne-Claire Deshorgue, Eduardo Barrascout, Stéphanie Legrand, Morgane Houlze, Linda Cambula, Anthony Lopez, Guillaume Fouquet, Kahina Touabi, Adeline GermaIn, Benoit Godbert, Florence Voivret, Julie Perrin, Rosa Da Silva, Emilie Bernichon, GCO-002 CACOVID-19 collaborators/investigators, Moulin, S., Leleu, O., Leparree, S., Goasdoue, H., Piprot, C., Tourneur, G., Bayart, V., Lignier, D., Lachaier, E., Khamari, M., Coutte, A., Siembida, N., Houessinon, A., Regimbeau, J.M., Chauffert, B., Moreira, A., Hautefeuille, V., Hee, C., Boone, M., Bihan, C., Chive, E., Poulet-Potriquier, S., Fahem, R., Luet, D., Roquin, G., Vitellius, C., Cornet-Trichereau, N., Caroli-Bosc, F.X., Thirot-Bidault, A., Ropert, S., Gachet-Masson, J., Dehais, M., L'helgoualc'h, G.A., Ali-Mahamadou, I., Talfi, S., Belmont, L., Kilendo, D., Benrezzak, N., Dubief, E., Conroy, G., Delique, L., Basso, M., Pons, I., Salignon, K., Villing, A.L., Mougenot, E., Porebski, C., Guiatni, A., Cloarec, N., Mineur, L., Bouchaud, M., David, C., Peytier, A., Greletty, T., Audemar, F., Vignes, E., Minne, F., Goldzak, G., Huysman, F., Hocine, F., Lakkis, Z., Mansi, L., Meynard, G., Almotlak, H., Klajer, E., Sun, X.S., Wasselin, J., Catala, P., Mazuy, C., Vandamme, H., Prevost, J.B., Fadin, A., Basson, L., Huguet, J.B., Dos Santos, E., Jany, B., Saad, A., Goutorbe, F., Oziol, E., Ramdani, M., Kadiri, O., Garbay, D., Huet, C., Giroux Leprieur, E., Teng, W., Monvoisin, J., Arnaud Coffin, P., Roux, S., Orfeuvre, H., Chagros, M., Pillon, D., Rassoul, A., Poureau, P.G., Novello, C., Ducray, F., Trouba, C., Bastit, V., Babin, E., Thariat, J., Leon, V., Courtecuisse, A.C., Vambre, J., Tack, V., Desauw, C., Meniai, F., Peres, C., Esparcieux, A., Perrier, H., Doux, N., Kaphan, R., Roques, B., Rebischung, C., Mille, D., Fernandes, G., Abdelli, N., Jousset, N., Combe, P., Jonveaux, E., Dumont, P., Kanaan, M., Berthelot Gras, C., Panis, V., Kaluzinski, L., Venant-Valery, M., Lam, Y.H., Vallee, L., Riviere, F., Durand, M., Benghadid, D., Villeneuve, E., Hentic Dhome, O., Laurent, L., Bounouar, Z., De Mestier, L., Dubois, J., Eyriey, M., Moreau, L., Ahle, G., Baihas, D., Aldabbagh, K., Degriffolet, D., Sebbagh, V., Seghezzi, J.C., Lozach-Brugirard, M., Mandrou, J., Mavier, L., Hennetier, F., Wagner, J.P., Carola, E., Chandirakumaran, K., Loutski, S., Cojean-Zelek, I., Bouras, A., Lacour, S., Froura, F., Ben Nadji, H., Cattelain, S., Darloy, F., Jolimoy Boilleau, G., Maissiat, C., Darut-Jouve, A., Lorgis, V., Charifi-Alaoui, I., Ghiringhelli, F., Drouillard, A., Chaix, M., Manfredi, S., Lepage, C., Gagnaire, A., Latournerie, M., Jourdan, S., Perrot, N., Folia, M., Minello, A., Jouve, J.L., Fery, M., Landau, A., Evrard, D., Valenza, B., Paitel, J.F., Chablais, L., Kreitmann, T., Lancry-Lecomte, L., Monard, A., Faugeras, E., Boucheret, P., Glommeau, C., Tchikladze, C., Garnier Tixidre, C., Long, J., Zaidi, M., Delabarre, V., Meyzenc, J., Ferrand, L., Moro-Sibilot, D., Bouheret, P., Leyronnas, C., Herve, C., Thoor, A., Jacquet, E., Roth, G., Madapathage-Senanyake, V., Chupeau, P., Bieber, E., Rosso, M., Lepage, I., Priou, F., Laly, M., Aprelon, S., Sobolak, N., Homokos, H., Pointreau, Y., Watelle, F., Pham-Becker, A., Lauridant, G., Turpin, A., Dujardin, C., Lenglin, E., Nienguet Tsota, A., Dominguez, S., Forestier, A., Nouvel, F., Lerooy, J., Ratajczak, C., Romano, O., Brzyski, D., Barriere, A., Genet, D., Tisse, J., Zasadny, X., Grelet, A., Hennion-Imbault, A., Haustraete, E., Louafi, S., Awad, M., Zekri, Y., Cheneau, C., Leissen, N., Egreteau, J., Breant, A., Sarabi, M., Labonne, S., Forestier, J., Leclercq, C., Prunier-Bossion, F., Ray Coquard, I., Guillet, M., Theillaumas, A., Prome, E., Walter, T., Philouze, P., Lawo, M., De Talhouet, S., Beuvelot, J., Molin, Y., Bellecoste Martin, M., Saussereau, M., Agnelli, L., Fakhry, N., Laplace, C., Norguet Monnereau, E., Boucard, C., Djenad, K., Fontaine, C., Seitz, J.F., Dahan, L., Sigrand, J., Duluc, M., Locher, C., Fleury, M., Brou Marie, A., Berkane, R., Poupblanc, S., Auby, D., Petran, D., Texereau, P., Guerineau, E., Andre, M., Mahjoubi, L., Sarrazin, F., Jeanson, S., Gschwend, A., Birr, V., Debieuvre, D., Fore, M., Noirclerc, M., Dahou, S., Spaeth, D., Lambotin, M., Lelu, T., Linot, B., Hugon, N., Rousseau, D., Castanie, H., Lenne, C., Lortholary, A., Cessot, A., Merzoug, M., Naudin, C., Vannetzel, J.M., Aziz, G., Hadj Arab, Y., Pernes, S., Roche-Lachaise, I., Fiteni, F., Yahiaoui, H., Marel Lopez, G., Oddoz, J., Peira, F., Michel, O., Meunier, J., Ouahrani, B., Roger, A., Branco, S., Nguyen, V., Gisselbrecht, M., Hammad, G., Mordant, P., Stroksztejn, M., Pocard, M., Nlo Meyengue, L., Aparicio, T., Sacco, E., Simon Anne, S., Fabre-Guillevin, E., Wislez, M., Slim, M., Zaanan, A., Cadranel, J., Pluvy, J., Ursu, R., Geraldo, A., Lihi, R., Vo, M., Brouk, Z., Colle, R., Bennamoun, M., Lacan, F., Louvet, C., Mebarki, S., Veyri, M., Paillaud, E., Lucas, C., Dubreuil, O., Lyamani, J., Idbaih, A., Agguini, H., Soularue, E., Canellas, A., Zalcman, G., Jourdaine, C., Verillaud, B., Herzine, H., Raymond, E., Mathiot, N., Palmieri, L.J., Epanya, C., Taieb, J., Bertrand, E., Goujon, G., Namour, C., Gazeau, B., Zafirova, B., Mirghani, H., Belin, C., Belkhir, K., Gharib, M., Vozy, A., Amrane, K., Spano, J.P., Wassermann, J., Feuvret, L., Bachet, J.B., Philonenko, S., Guillot, L., Zabbe, M., Gibiat, S., Baylot, C., Jouinot, A., Leduc, N., Vieillot, S., James, L., Ducerf, C., Blanc, J.F., Falandry Leger, C., Wautot, V., Chauvenet, M., Vincent, A., Tougeron, D., Goulvent, S., Suc, E., Laurenty, A.P., Marquis, E., Bonnaire, M., Dewolf, M., Brenet, E., Billard, D., Litre, C.F., Dumazet, A., Botsen, D., Vazel, M., Carlier, C., Bonnerave, D., Marchand-Crety, C., Bouche, O., Fosse, P., Sefrioui, D., Michel, P., Watson, S., Neuzillet, C., Torche, F., Muron, T., Natur, S., Desgrippes, R., Bihel, V., Ferrand, F.R., Leiterer, C., Lavole, J., Moquet, C., Pressoir, N., Dziukala, C., Ligeza Poisson, C., Naji, A., Williet, N., Phelip, J.M., Di Palma, F., Kherrour Mehdi, A., Langrand-Escure, J., Fournel, P., Pigne, G., Saban-Roche, L., Magne, N., Vassal, C., Jacquin, J.P., Ramirez, C., Vallard, A., Collard, O., Rivoirard, R., Graber, I., Trager Maury, S., Duboisset, E., Ayllon Ugarte, J., Rami, D., Saler, C., Reinbolt, M., Le Fevre, C., Ben Abdelghani, M., Dourthe, L.M., Perruisseau-Carrier, J., Nguimpi-Tambou, M., Barret, F., Di Stefano Anna, L., Balthazard, A., Mabro, M., Vassord-Dang, C., Le Marchand, M., Vergniol, J., Pripon, I., Daemaegdt, A., Latry, V., Larrieu, M., Landry, G., Touihri Maximin, L., Del Piano, F., Barlet, A., Vernisse, M., Lafond, S., Genin, C., Sibertin-Blanc, C., Chabrillac, E., Gregoire, C., Vergez, S., Panouille, Q., Guimbaud, R., Richa, F., Lebellec, L., Gounin, S., Buiret, G., Baudin, M., Hamon, H., Deshorgue, A.C., Barrascout, E., Legrand, S., Houlze, M., Cambula, L., Lopez, A., Fouquet, G., Touabi, K., GermaIn, A., Godbert, B., Voivret, F., Perrin, J., Da Silva, R., Bernichon, E., Chemistry, Oncogenesis, Stress and Signaling (COSS), Université de Rennes (UR)-CRLCC Eugène Marquis (CRLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 (CANTHER), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Centre Léon Bérard [Lyon], Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN), CH Colmar, Institut Curie [Paris], Centre Hospitalier Universitaire de Reims (CHU Reims), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Emile Muller [Mulhouse] (CH E.Muller Mulhouse), Groupe Hospitalier de Territoire Haute Alsace (GHTHA), CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital Beaujon, Hôpital Foch [Suresnes], CHU Saint-Antoine [AP-HP], ARCAGY-GINECO, Interactions hôte-greffon-tumeur, ingénierie cellulaire et génique - UFC (UMR INSERM 1098) (RIGHT), Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS BFC)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Institut Gustave Roussy (IGR), Département de médecine nucléaire [Rennes], CRLCC Eugène Marquis (CRLCC), Département de médecine oncologique [Gustave Roussy], Département de cancérologie cervico-faciale [Gustave Roussy] (CCF), Centre Jean Bernard [Institut Inter-régional de Cancérologie - Le Mans], Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Hopital Saint-Louis [AP-HP] (AP-HP), Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), AbbVie, Merck, Carthera, Transgene, Nutritheragene, Roche, Air Liquide, Eli Lilly Japan, LEO Pharma Research Foundation, Bayer, Novartis, Sanofi, Biogen, Institut National de la Santé et de la Recherche Médicale (INSERM)-CRLCC Eugène Marquis (CRLCC)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM), UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS [Bourgogne-Franche-Comté])-Université de Franche-Comté (UFC), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Male, 0301 basic medicine, Cancer Research, medicine.medical_treatment, Disease, law.invention, Cohort Studies, 0302 clinical medicine, Mechanical ventilation, Risk Factors, law, Neoplasms, Medicine, Prospective Studies, Prospective cohort study, Original Research, Cancer, Intensive care unit, 3. Good health, Death, Oncology, 030220 oncology & carcinogenesis, Female, France, Immunotherapy, Cohort study, medicine.medical_specialty, chemotherapy. radiotherapy, Antineoplastic Agents, [SDV.CAN]Life Sciences [q-bio]/Cancer, 03 medical and health sciences, Internal medicine, Humans, Chemotherapy, Mortality, Pandemics, Aged, Retrospective Studies, Radiotherapy, SARS-CoV-2, business.industry, COVID-19, Retrospective cohort study, Odds ratio, medicine.disease, Antineoplastic Agents/adverse effects, Antineoplastic Agents/therapeutic use, COVID-19/mortality, France/epidemiology, Neoplasms/mortality, Neoplasms/therapy, Neoplasms/virology, SARS-CoV-2/isolation & purification, 030104 developmental biology, business
Abstract

Background Cancer patients are thought to have an increased risk of developing severe Coronavirus Disease 2019 (COVID-19) infection and of dying from the disease. In this work, predictive factors for COVID-19 severity and mortality in cancer patients were investigated. Patients and Methods In this large nationwide retro-prospective cohort study, we collected data on patients with solid tumours and COVID-19 diagnosed between March 1 and June 11, 2020. The primary endpoint was all-cause mortality and COVID-19 severity, defined as admission to an intensive care unit (ICU) and/or mechanical ventilation and/or death, was one of the secondary endpoints. Results From April 4 to June 11, 2020, 1289 patients were analysed. The most frequent cancers were digestive and thoracic. Altogether, 424 (33%) patients had a severe form of COVID-19 and 370 (29%) patients died. In multivariate analysis, independent factors associated with death were male sex (odds ratio 1.73, 95%CI: 1.18-2.52), ECOG PS ≥ 2 (OR 3.23, 95%CI: 2.27-4.61), updated Charlson comorbidity index (OR 1.08, 95%CI: 1.01-1.16) and admission to ICU (OR 3.62, 95%CI 2.14-6.11). The same factors, age along with corticosteroids before COVID-19 diagnosis, and thoracic primary tumour site were independently associated with COVID-19 severity. None of the anticancer treatments administered within the previous 3 months had any effect on mortality or COVID-19 severity, except cytotoxic chemotherapy in the subgroup of patients with detectable SARS-CoV-2 by RT-PCR, which was associated with a slight increase of the risk of death (OR 1.53; 95%CI: 1.00-2.34; p = 0.05). A total of 431 (39%) patients had their systemic anticancer treatment interrupted or stopped following diagnosis of COVID-19. Conclusions Mortality and COVID-19 severity in cancer patients are high and are associated with general characteristics of patients. We found no deleterious effects of recent anticancer treatments, except for cytotoxic chemotherapy in the RT-PCR-confirmed subgroup of patients. In almost 40% of patients, the systemic anticancer therapy was interrupted or stopped after COVID-19 diagnosis., Highlights • A total of 1289 patients with solid tumours and COVID-19 were analysed. • Mortality and COVID-19 severity were mainly driven by patient general characteristics. • Overall, we found no deleterious effects of recent anticancer treatments on mortality. . • Systemic anticancer treatment was interrupted or stopped in 39% of patients.

Published
2020
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33. [Corneal donation and anticipatory care in palliative care].

Author

Amilien V, Leberre S, Dubois S, Lafond S, Marie A, Maillard A, Robin V, Esteves K, and Moya M

Subjects
Humans, France, Palliative Care
Abstract

Until now, the early approach of palliative care patients for corneal harvesting has been unheard of in France. At the Centre Hospitalier Intercommunal de Villeneuve-Saint-Georges Lucie-et-Raymond-Aubrac, in the Val-de-Marne region of France, we offer a rigorous and respectful procedure and organization for patients who have been carefully selected for an early approach to donation., (Copyright © 2023 Elsevier Masson SAS. All rights reserved.)

Published
2023
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34. Predicting efficacy of drug-carrier nanoparticle designs for cancer treatment: a machine learning-based solution.

Author

Kibria MR, Akbar RI, Nidadavolu P, Havryliuk O, Lafond S, and Azimi S

Subjects
Humans, Molecular Dynamics Simulation, Solvents, Machine Learning, Drug Carriers, Neoplasms drug therapy
Abstract

Molecular Dynamic (MD) simulations are very effective in the discovery of nanomedicines for treating cancer, but these are computationally expensive and time-consuming. Existing studies integrating machine learning (ML) into MD simulation to enhance the process and enable efficient analysis cannot provide direct insights without the complete simulation. In this study, we present an ML-based approach for predicting the solvent accessible surface area (SASA) of a nanoparticle (NP), denoting its efficacy, from a fraction of the MD simulations data. The proposed framework uses a time series model for simulating the MD, resulting in an intermediate state, and a second model to calculate the SASA in that state. Empirically, the solution can predict the SASA value 260 timesteps ahead 7.5 times faster with a very low average error of 1956.93. We also introduce the use of an explainability technique to validate the predictions. This work can reduce the computational expense of both processing and data size greatly while providing reliable solutions for the nanomedicine design process., (© 2023. The Author(s).)

Published
2023
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35. Unstructured numerical intensity scales: Models, protocols and errors.

Author

Wichchukit S, LaFond S, and O'Mahony M

Abstract

A sample of 62 untrained subjects were assessed on their ability to use unstructured numerical 9-point and 30-point category scales along with an unstructured line scale, using both rank-rating and serial monadic protocols. Visual stimuli were used for convenience, the task being to rate the heights of 12 easily discriminable columns of mung beans held in transparent vertical cylinders. Such stimuli had no perceptual variance, which would otherwise have added uncontrolled variance to the subjects' performance. Two measures of performance were used for each of the 6 experimental conditions. First, mean number of 'scaling errors' made in each of the six experimental conditions was computed. In this experiment, a scaling error was defined as giving a taller column a score equal to or less than a shorter column. The lower the error count, the better the subjects' performance. The second measure was to match the subjects' rating scale pattern of scores to a 'true' pattern of scores, derived from the physical measurements of the 12 columns. For this, a 'dissimilarity score' was developed. This compared the sum of the Euclidean distances between standardized true scale ratings for each of the column's 12 true heights, with those obtained from each subject. This gave a measure of the mismatch between the subject's set of scores and the true set of scores. Both the scaling error counts and the dissimilarity measures, indicated that subjects performed significantly better using the rank-rating protocol than the serial monadic. This was because of the effects of forgetting the exact intensities of stimuli once they had been removed, removal of stimuli being a necessary part of the serial monadic protocol. Subjects were penalized when using the 9-point scales, because there were too few categories to represent the different heights of all 12 columns. This introduced the concept of 'sufficient space'. Using the rank-rating protocol, the 30-point and line scales, with no memory problems and sufficient space elicited the best performances; they were not significantly different., (Copyright © 2020. Published by Elsevier Ltd.)

Published
2021
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36. Texture of Hot-Air-Dried Persimmon ( Diospyros kaki ) Chips: Instrumental, Sensory, and Consumer Input for Product Development.

Author

R Milczarek R, D Woods R, I LaFond S, L Smith J, Sedej I, W Olsen C, M Vilches A, P Breksa A, and E Preece J

Abstract

Persimmon ( Diospyros kaki ) is an underutilized tree fruit. Previous studies have shown the feasibility of making a hot-air-dried, chip-style product from persimmon. However, the texture of this type of product has not been explored or connected to consumer preference. Thus, for dried samples representing 37 cultivars, this study aimed to (1) predict trained sensory panel texture attributes from instrumental measurements, (2) predict consumer liking from instrumental measurements and sensory texture attributes, and (3) elucidate whether astringency type affects dried product texture. Partial least-squares regression models of fair-to-good quality predicted all measured sensory texture attributes (except Tooth Packing) from instrumental measurements. Modeling also identified that consumer preference is for a moist, smooth texture. Lastly, while astringency type has significant ( p < 0.05) effects on several individual texture attributes, astringency type should not be used a priori to screen-in or -out persimmon cultivars for processing into a hot-air-dried product.

Published
2020
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37. Counter-current acid leaching process for the removal of Cu, Pb, Sb and Zn from shooting range soil.

Author

Lafond S, Blais JF, Mercier G, and Martel R

Subjects
Metals, Heavy analysis, Soil Pollutants analysis, Water Purification methods, Countercurrent Distribution methods, Environmental Restoration and Remediation methods, Firearms, Metals, Heavy isolation & purification, Soil chemistry, Soil Pollutants isolation & purification
Abstract

This research explores the performance of a counter-current leaching process (CCLP) for Cu, Pb, Sb and Zn extraction in a polluted shooting range soil. The initial metal concentrations in the soil were 1790 mg Cu/kg, 48,300 mg Pb/kg, 840 mg Sb/kg and 368 mg Zn/kg. The leaching process consisted of five one-hour acid leaching steps, which used 1 M H2SO4 + 4 M NaCl (20 degrees C, soil suspension = 100 g/L) followed by two water rinsing steps. Ten counter-current remediation cycles were completed and the average metal removal yields were 98.3 +/- 0.3% of Cu, 99.5 +/- 0.1% of Pb, 75.5 +/- 5.1% of Sb and 29.1 +/- 27.2% of Zn. The quality of metal leaching did not deteriorate throughout the 10 remediation cycles completed for this study. The CCLP reduced acid and salt use by approximately 68% and reduced water consumption by approximately 60%, exceeding reductions achieved by a standard acid leaching process.

Published
2013
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38. Composting duck excreta enriched wood shavings: C and N transformations and bacterial pathogen reductions.

Author

Lafond S, Paré T, Dinel H, Schnitzer M, Chambers JR, and Jaouich A

Subjects
Animals, Bacteria growth & development, Biodegradation, Environmental, Colony Count, Microbial, Kinetics, Refuse Disposal methods, Waste Management methods, Wood, Bacteria metabolism, Carbon analysis, Ducks, Manure microbiology, Nitrogen analysis
Abstract

Composting of agricultural and domestic wastes is used increasingly to reduce weight, volume, and odor; destroy animal and plant pathogens; and improve the quality of end-products to be used as soil amendments and growth substrates. The objective of this study was to investigate the transformation of C and N and the survival of bacterial populations and pathogenic bacteria during in-vessel composting of duck excreta enriched wood shavings. Two feedstocks, collected on different dates, were composted (C1 and C2) in an enclosed hall system equipped with an electromechanical turner. Temperature was continuously recorded, whereas moisture content and bacterial counts were determined twice a week. Data showed that, although the N content of C2 was only half of that of C1, both materials were fully biostabilized at the end of the composting period as indicated by extractable lipid ratios. In the compost with the low C/N ratio (C1), all bacterial populations were eliminated, whereas fecal streptococci, total coliforms, and gram-negative bacteria were still present in C2 at the end of the composting period. Our results emphasize that the composting of manures and other organic wastes needs to be properly managed to stabilize C and N and to eliminate or reduce bacterial populations.

Published
2002
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39. Changes in lipids and sterols during composting.

Author

Dinel H, Schnitzer M, Paré T, Lemee L, Ambles A, and Lafond S

Subjects
Animals, Chloroform analysis, Chromatography, Dichlorodiphenyl Dichloroethylene analysis, Ducks, Mass Spectrometry veterinary, Wood, Feces chemistry, Lipids analysis, Nitrogen metabolism, Sterols analysis
Abstract

Pyrolysis-gas (Py-GC) chromatography was used to characterize organic [(diethyl ether (DEE) and chloroform (CHCl3)] extracts of raw and composted duck excreta enriched wood shavings from two finishing cycles (C1 and C2). Materials were collected on days 0, 8 and 23. C1 contained 1.7 % total N while C2 contained 0.9 % total N. Py-GC-MS (mass spectrometry) showed that the extracts contained n-alkanes (C12 to C32), alkenes (C12:1 to C33:1), n-fatty acids (C12 to C28), unsaturated fatty acids (C18:1 and C18:2), and sterols (cholestene, cholestadiene, stigmastene, stigmastadiene, stigmastatriene, cholesterol, stigmastanol, stigmastanone, stigmastadienone, 17-methyl dialkylsulfanyl decahydro-1H-cyclopenta [a] phenanthrene, 17-methyl dialkylsulfanyl dodecahydro-1H-cyclopenta [a] phenanthrene, and 17-methyl-17-dialkylsulfanyl decahydro-1H-cyclopenta [a] phenanthrene). Other components identified were prystene, squalene (precursor of cholesterol), phthalic acid, diphenylpropane, diphenylbut-2-ene and 1,3,6 triphenyl hex-4-ene. Our data showed significant changes in the lipid composition of duck excreta enriched wood shavings during composting, which appeared to be related to the total N content of the system.

Published
2001
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