54 results on '"Institute for Energy Systems"'
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2. Experimental investigation of pressure drop in packed beds of irregular shaped wood particles
- Author
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UCL - SST/IMMC/TFL - Thermodynamics and fluid mechanics, Technische Universitaet Muenchen, Faculty of Mechanical Engineering (Garching, Germany) - Institute for Energy Systems, Katholieke Universiteit Leuven, Department of Mechnaical Engineering (Heverlee, Belgium) - Division of Applied Mechanics and Energy Conversion, Mayerhofer, Michael, Govaerts, J., Parmentier, Nicolas, Jeanmart, Hervé, Helsen, L., UCL - SST/IMMC/TFL - Thermodynamics and fluid mechanics, Technische Universitaet Muenchen, Faculty of Mechanical Engineering (Garching, Germany) - Institute for Energy Systems, Katholieke Universiteit Leuven, Department of Mechnaical Engineering (Heverlee, Belgium) - Division of Applied Mechanics and Energy Conversion, Mayerhofer, Michael, Govaerts, J., Parmentier, Nicolas, Jeanmart, Hervé, and Helsen, L.
- Abstract
The knowledge of the pressure drop across a packed bed of irregular shaped wood particles is of great importance for achieving optimal control and maximum efficiency in many applications, such as wood drying, pyrolysis, gasification and combustion. In this work the effect of porosity, average particle size and main particle orientation on the pressure drop in a packed bed is investigated. To this end, particle size distributions and porosities are determined experimentally. Based on the experimental results obtained in this study, the form coefficient C and the permeability K of the Forcheimer equation are calculated for different packed beds. The Ergun equation requires an average equivalent particle diameter that is derived from the measured particle size distribution. This equivalent diameter and the corresponding bed porosity are used in the well known Ergun equation in order to derive adapted shape factors A and B. Since a change in bed porosity and particle size, caused by the degradation of the wood particles and gravity, can be expected in a reacting packed bed, a set of shape factors for use with the Ergun equation is determined that are independent of porosity and particle diameter and fit the experimental data very well.
- Published
- 2011
3. CO2 capture by using hydrates: 4) From experimental evidences to economic impossibility as a post combustion process
- Author
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Herri, Jean-Michel, Kwaterski, Matthias, Galfré, Aurélie, Brantuas, Pedro, Cameirão, Ana, Ouabbas, Yamina, Bouillot, Baptiste, Sinquin, Anne, Broutin, Paul, Liebenthal, Ulrich, Kather, Alfons, Centre Sciences des Processus Industriels et Naturels (SPIN-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département PROcédés Poudres, Interfaces, Cristallisation et Ecoulements (PROPICE-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-SPIN, Laboratoire Georges Friedel (LGF-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Direction Chimie et Physico-chimie appliquées (DCPA), IFP Energies nouvelles (IFPEN), IFP Energies nouvelles (IFPEN)-IFP Energies nouvelles (IFPEN), Institute of Energy Systems (IET), Hamburg University of Technology, Ziran Zhong, IFP Energies nouvelles (IFPEN) - Hamburg University of Technology, and Institute of Energy Systems
- Subjects
CO2 capture ,sizing ,costing ,[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering ,semi clathrates hydrates - Abstract
International audience; The post-combustion CO2 capture by using clathrates is a method which takes profit of the CO2 selectivity in gas hydrate to separate it from nitrogen, or other exhausting gases from gas combustion or coal combustion. The bottleneck is the operative pressure which still remains high and needs to be drop down to 0.5 MPa in order to compete with the reference case using Amines. After two national projects (SECOHYA, ACACIA) and an European program (iCAP), we tested different classes of thermodynamic additives, organic ones (water non soluble cyclopentane, water soluble THF) which form classical gas hydrates with structure SII, and ionic ones (Tetra-N-Butyl Ammonium Bromide, TBAB) which forms new types of structures, and mixture of promoters. In this presentation, we present a flow-sheet for a CO2 capture process, with two stages, a bulk and a finisher. After sizing, we emphasize that the volume of the bulk is similar to the volume of an Amine Process because the crystallization operates in a Gas/liquid transfer limitation regime. But, the volume of solvent to handle is much too large to be reasonable.
- Published
- 2014
4. On the turbulent flow in piston engines: Coupling of statistical theory quantities and instantaneous turbulence
- Author
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Peterson, Brian [Department of Mechanical Engineering, School of Engineering, Institute for Energy Systems, University of Edinburgh, The King’s Buildings, Mayfield Road, Edinburgh EH9 3JL, Scotland (United Kingdom)]
- Published
- 2016
- Full Text
- View/download PDF
5. Current Problems of Water Supply and Usage in Central Asia, Tian Shan Basin
- Author
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Polina Lemenkova, Ocean University of China (OUC), Riga Technical University, Institute of Energy Systems and Environment, and Marika Rošā
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bepress|Social and Behavioral Sciences|Geography|Physical and Environmental Geography ,Tan Shan ,Drainage basin ,Water supply ,EarthArXiv|Physical Sciences and Mathematics|Earth Sciences ,EarthArXiv|Life Sciences|Ecology and Evolutionary Biology ,bepress|Life Sciences ,Mountain Areas ,EarthArXiv|Physical Sciences and Mathematics|Earth Sciences|Geomorphology ,EarthArXiv|Life Sciences ,bepress|Social and Behavioral Sciences|Environmental Studies ,EarthArXiv|Social and Behavioral Sciences ,Hydropower ,geography.geographical_feature_category ,EarthArXiv|Physical Sciences and Mathematics|Earth Sciences|Geology ,[SDE.IE]Environmental Sciences/Environmental Engineering ,EarthArXiv|Physical Sciences and Mathematics|Earth Sciences|Glaciology ,[SHS.GEO]Humanities and Social Sciences/Geography ,bepress|Social and Behavioral Sciences|Geography|Spatial Science ,Water supplies ,Geography ,[SHS.GESTION]Humanities and Social Sciences/Business administration ,bepress|Social and Behavioral Sciences|Geography|Other Geography ,EarthArXiv|Physical Sciences and Mathematics|Earth Sciences|Hydrology ,bepress|Physical Sciences and Mathematics ,hydro energy ,Resource (biology) ,Central Asian CIS countries ,[SDE.MCG]Environmental Sciences/Global Changes ,bepress|Physical Sciences and Mathematics|Earth Sciences|Geomorphology ,bepress|Physical Sciences and Mathematics|Earth Sciences ,Structural basin ,bepress|Life Sciences|Ecology and Evolutionary Biology ,Water scarcity ,water usage ,bepress|Physical Sciences and Mathematics|Earth Sciences|Hydrology ,EarthArXiv|Social and Behavioral Sciences|Geography ,Central Asia Orogenic Belt ,Ecology ,Envionment ,Energetics ,Hydrology ,EarthArXiv|Social and Behavioral Sciences|Geography|Spatial Science ,bepress|Physical Sciences and Mathematics|Earth Sciences|Glaciology ,business.industry ,bepress|Physical Sciences and Mathematics|Earth Sciences|Geology ,Global warming ,EarthArXiv|Social and Behavioral Sciences|Geography|Physical and Environmental Geography ,EarthArXiv|Social and Behavioral Sciences|Environmental Studies ,Water use efficiency ,bepress|Social and Behavioral Sciences|Geography ,[SDE.ES]Environmental Sciences/Environmental and Society ,renewable resources ,EarthArXiv|Physical Sciences and Mathematics ,[SHS.ENVIR]Humanities and Social Sciences/Environmental studies ,hydro energy, renewable resources, Tan Shan, water usage ,bepress|Social and Behavioral Sciences ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,business ,Water resource management ,Water use ,EarthArXiv|Social and Behavioral Sciences|Geography|Other Geography - Abstract
The paper focuses on analysis of Central Asian hydro-energetic system and water usage in Tian Shan region. Tian Shan system is important water resource in Central Asia: mountains river waters are intensely taken for hydropower energy, urban systems, irrigation. But geopolitics in Tian Shan is difficult: it crosses five densely populated countries. Current problem consists in water delivery between territories located in the highlands with excellent water supply and those located in valleys with water shortage. Tajikistan and Kyrgyzstan control river basins, and Kazakhstan and Uzbekistan depend on water supply. The problem of water use causes debates among these countries. Besides, climate warming affects glaciers and causes water deficit. Altogether, this leads to difficulties in hydro-energetics. A multidisciplinary analysis was performed in research: geopolitical problems of water supply in Tian Shan, spatial distribution of hydro-energetic resources and climate impact on hydro-energetics.
- Published
- 2019
- Full Text
- View/download PDF
6. An Approach to Evaluate the Lifetime of a High Head Francis Runner
- Author
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Doujak, Eduard, Eichhorn, Markus, Institute for Energy Systems and Thermodynamics (IET), Vienna University of Technology (TU Wien), and DOUJAK, Eduard
- Subjects
[SPI]Engineering Sciences [physics] ,[SPI] Engineering Sciences [physics] ,Liftime Investigation ,Fluid Structure Interaction ,Francis Runner ,Strain Gauge Measurements - Abstract
International audience; Nowadays, the electricity market is changing rapidly and the requirements for hydropower plant operators vary between base load electricity production and ancillary services with a high share of transient operational points. The institute for Energy Systems and Thermodynamics, together with partners from the industry, initiated a research project to investigate the effects of these new operational modes on the components of a hydraulic machine. Especially the runner is of high importance due to the long service time and unfavorable flow phenomena when operated at off design points. A method to evaluate the lifetime of a high head Francis runner should be developed to investigate the existing runner and to serve later on a possible procedure for the design stage. Therefore, prototype measurements with applied strain gauges have been carried out for validation purposes of the developed method. Unsteady Numerical flow simulations using the open-source software OpenFOAM and static as well as dynamic Finite Element calculations with Code Aster are performed to investigate the lifetime of the observed Francis runner. The research project is still ongoing but first results regarding the procedure and the methods will be shown in this paper.
- Published
- 2016
7. Common genetic variants influence human subcortical brain structures
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Hibar, Derrek P, Stein, Jason L, Aribisala, Benjamin S, de Zubicaray, Greig I, Dillman, Allissa, Duggirala, Ravi, Dyer, Thomas D, Erk, Susanne, Fedko, Iryna O, Ferrucci, Luigi, Foroud, Tatiana M, Fox, Peter T, Fukunaga, Masaki, Armstrong, Nicola J, Gibbs, J Raphael, Göring, Harald H H, Green, Robert C, Guelfi, Sebastian, Hansell, Narelle K, Hartman, Catharina A, Hegenscheid, Katrin, Heinz, Andreas, Hernandez, Dena G, Heslenfeld, Dirk J, Bernard, Manon, Hoekstra, Pieter J, Holsboer, Florian, Homuth, Georg, Hottenga, Jouke-Jan, Ikeda, Masashi, Jack, Clifford R, Jenkinson, Mark, Johnson, Robert, Kanai, Ryota, Keil, Maria, Bohlken, Marc M, Kent, Jack W, Kochunov, Peter, Kwok, John B, Lawrie, Stephen M, Liu, Xinmin, Longo, Dan L, McMahon, Katie L, Meisenzahl, Eva, Melle, Ingrid, Mohnke, Sebastian, Boks, Marco P, Montgomery, Grant W, Mostert, Jeanette C, Mühleisen, Thomas W, Nalls, Michael A, Nichols, Thomas E, Nilsson, Lars G, Nöthen, Markus M, Ohi, Kazutaka, Olvera, Rene L, Perez-Iglesias, Rocio, Bralten, Janita, Pike, G Bruce, Potkin, Steven G, Reinvang, Ivar, Reppermund, Simone, Rietschel, Marcella, Romanczuk-Seiferth, Nina, Rosen, Glenn D, Rujescu, Dan, Schnell, Knut, Schofield, Peter R, Brown, Andrew A, Smith, Colin, Steen, Vidar M, Sussmann, Jessika E, Thalamuthu, Anbupalam, Toga, Arthur W, Traynor, Bryan J, Troncoso, Juan, Turner, Jessica A, Valdés Hernández, Maria C, van 't Ent, Dennis, Chakravarty, M Mallar, van der Brug, Marcel, van der Wee, Nic J A, van Tol, Marie-Jose, Veltman, Dick J, Wassink, Thomas H, Westman, Eric, Zielke, Ronald H, Zonderman, Alan B, Ashbrook, David G, Hager, Reinmar, Chen, Qiang, Lu, Lu, McMahon, Francis J, Morris, Derek W, Williams, Robert W, Brunner, Han G, Buckner, Randy L, Buitelaar, Jan K, Cahn, Wiepke, Calhoun, Vince D, Cavalleri, Gianpiero L, Ching, Christopher R K, Crespo-Facorro, Benedicto, Dale, Anders M, Davies, Gareth E, Delanty, Norman, Depondt, Chantal, Djurovic, Srdjan, Drevets, Wayne C, Espeseth, Thomas, Gollub, Randy L, Ho, Beng-Choon, Renteria, Miguel E, Cuellar-Partida, Gabriel, Hoffmann, Wolfgang, Hosten, Norbert, Kahn, René S, Le Hellard, Stephanie, Meyer-Lindenberg, Andreas, Müller-Myhsok, Bertram, Nauck, Matthias, Nyberg, Lars, Pandolfo, Massimo, Penninx, Brenda W J H, den Braber, Anouk, Roffman, Joshua L, Sisodiya, Sanjay M, Smoller, Jordan W, van Bokhoven, Hans, van Haren, Neeltje E M, Völzke, Henry, Walter, Henrik, Weiner, Michael W, Wen, Wei, White, Tonya, Giddaluru, Sudheer, Agartz, Ingrid, Andreassen, Ole A, Blangero, John, Boomsma, Dorret I, Brouwer, Rachel M, Cannon, Dara M, Cookson, Mark R, de Geus, Eco J C, Deary, Ian J, Donohoe, Gary, Goldman, Aaron L, Fernández, Guillén, Fisher, Simon E, Francks, Clyde, Glahn, David C, Grabe, Hans J, Gruber, Oliver, Hardy, John, Hashimoto, Ryota, Hulshoff Pol, Hilleke E, Jönsson, Erik G, Grimm, Oliver, Kloszewska, Iwona, Lovestone, Simon, Mattay, Venkata S, Mecocci, Patrizia, McDonald, Colm, McIntosh, Andrew M, Ophoff, Roel A, Paus, Tomas, Pausova, Zdenka, Ryten, Mina, Guadalupe, Tulio, Sachdev, Perminder S, Saykin, Andrew J, Simmons, Andy, Singleton, Andrew, Soininen, Hilkka, Wardlaw, Joanna M, Weale, Michael E, Weinberger, Daniel R, Adams, Hieab H H, Launer, Lenore J, Hass, Johanna, Seiler, Stephan, Schmidt, Reinhold, Chauhan, Ganesh, Satizabal, Claudia L, Becker, James T, Yanek, Lisa, van der Lee, Sven J, Ebling, Maritza, Fischl, Bruce, Longstreth, W. T., Woldehawariat, Girma, Greve, Douglas, Schmidt, Helena, Nyquist, Paul, Vinke, Louis N, van Duijn, Cornelia M, Xue, Luting, Mazoyer, Bernard, Bis, Joshua C, Gudnason, Vilmundur, Seshadri, Sudha, Holmes, Avram J, Ikram, M Arfan, Initiative, Alzheimer’s Disease Neuroimaging, Consortium, CHARGE, EPIGEN, IMAGEN, SYS, Martin, Nicholas G, Wright, Margaret J, Schumann, Gunter, Franke, Barbara, Hoogman, Martine, Thompson, Paul M, Medland, Sarah E, Weiner, Michael, Aisen, Paul, Petersen, Ronald, Jagust, William, Trojanowki, John Q, Beckett, Laurel, Arias-Vasquez, Alejandro, Janowitz, Deborah, Morris, John, Shaw, Leslie M, Khachaturian, Zaven, Sorensen, Greg, Carrillo, Maria, Kuller, Lew, Raichle, Marc, Paul, Steven, Jia, Tianye, Davies, Peter, Fillit, Howard, Hefti, Franz, Holtzman, Davie, Mesulman, M Marcel, Potter, William, Snyder, Peter, Schwartz, Adam, Montine, Tom, Kim, Sungeun, Thomas, Ronald G, Donohue, Michael, Walter, Sarah, Gessert, Devon, Sather, Tamie, Jiminez, Gus, Harvey, Danielle, Klein, Marieke, Bernstein, Matthew, Fox, Nick, Thompson, Paul, Schuff, Norbert, DeCarli, Charles, Borowski, Bret, Gunter, Jeff, Senjem, Matt, Kraemer, Bernd, Vemuri, Prashanthi, Jones, David, Kantarci, Kejal, Ward, Chad, Koeppe, Robert A, Foster, Norm, Reiman, Eric M, Chen, Kewei, Mathis, Chet, Lee, Phil H, Landau, Susan, Cairns, Nigel J, Householder, Erin, Taylor-Reinwald, Lisa, Trojanowki, J. Q., Shaw, Les, Lee, Virginia M Y, Korecka, Magdalena, Figurski, Michal, Olde Loohuis, Loes M, Crawford, Karen, Neu, Scott, Potkin, Steven, Shen, Li, Faber, Kelley, Nho, Kwangsik, Luciano, Michelle, Thal, Leon, Frank, Richard, Snyder, Peter J, Buckholtz, Neil, Macare, Christine, Albert, Marilyn, Hsiao, John, Kaye, Jeffrey, Quinn, Joseph, Lind, Betty, Carter, Raina, Dolen, Sara, Gutman, Boris A, Schneider, Lon S, Mather, Karen A, Pawluczyk, Sonia, Beccera, Mauricio, Teodoro, Liberty, Spann, Bryan M, Brewer, James, Vanderswag, Helen, Fleisher, Adam, Heidebrink, Judith L, Lord, Joanne L, Desrivières, Sylvane, Mattheisen, Manuel, Mason, Sara S, Albers, Colleen S, Knopman, David, Johnson, Kris, Doody, Rachelle S, Villanueva-Meyer, Javier, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Milaneschi, Yuri, Honig, Lawrence S, Bell, Karen L, Ances, Beau, Morris, John C, Carroll, Maria, Leon, Sue, Mintun, Mark A, Schneider, Stacy, Oliver, Angela, Marson, Daniel, Griffith, Randall, Clark, David, Geldmacher, David, Brockington, John, Roberson, Erik, Grossman, Hillel, Mitsis, Effie, deToledo-Morrell, Leyla, Shah, Raj C, Papmeyer, Martina, Duara, Ranjan, Varon, Daniel, Greig, Maria T, Roberts, Peggy, Onyike, Chiadi, D'Agostino, Daniel, Kielb, Stephanie, Galvin, James E, Pogorelec, Dana M, Ramasamy, Adaikalavan, Cerbone, Brittany, Michel, Christina A, Rusinek, Henry, de Leon, Mony J, Glodzik, Lidia, De Santi, Susan, Doraiswamy, P Murali, Petrella, Jeffrey R, Wong, Terence Z, Arnold, Steven E, Risacher, Shannon L, Karlawish, Jason H, Wolk, David, Smith, Charles D, Jicha, Greg, Hardy, Peter, Sinha, Partha, Oates, Elizabeth, Conrad, Gary, Lopez, Oscar L, Oakley, MaryAnn, Roiz-Santiañez, Roberto, Simpson, Donna M, Porsteinsson, Anton P, Goldstein, Bonnie S, Martin, Kim, Makino, Kelly M, Ismail, M Saleem, Brand, Connie, Mulnard, Ruth A, Thai, Gaby, Mc-Adams-Ortiz, Catherine, Rose, Emma J, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Diaz-Arrastia, Ramon, King, Richard, Weiner, Myron, Martin-Cook, Kristen, DeVous, Michael, Levey, Allan I, Lah, James J, Salami, Alireza, Cellar, Janet S, Burns, Jeffrey M, Anderson, Heather S, Swerdlow, Russell H, Apostolova, Liana, Tingus, Kathleen, Woo, Ellen, Silverman, Daniel H S, Lu, Po H, Bartzokis, George, Sämann, Philipp G, Graff-Radford, Neill R, Parfitt, Francine, Kendall, Tracy, Johnson, Heather, Farlow, Martin R, Hake, Ann Marie, Matthews, Brandy R, Herring, Scott, Hunt, Cynthia, van Dyck, Christopher H, Jahanshad, Neda, Schmaal, Lianne, Carson, Richard E, MacAvoy, Martha G, Chertkow, Howard, Bergman, Howard, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Caldwell, Curtis, Hsiung, Yuek Robin, Feldman, Howard, Schork, Andrew J, Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles, Munic, Donna, Kerwin, Diana, Mesulam, Marek-Marsel, Lipowski, Kristine, Shin, Jean, Wu, Chuang-Kuo, Johnson, Nancy, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, Sperling, Reisa A, Johnson, Keith A, Strike, Lachlan T, Marshall, Gad, Frey, Meghan, Yesavage, Jerome, Taylor, Joy L, Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Sabbagh, Marwan N, Belden, Christine M, Jacobson, Sandra A, Teumer, Alexander, Sirrel, Sherye A, Kowall, Neil, Killiany, Ronald, Budson, Andrew E, Norbash, Alexander, Johnson, Patricia Lynn, Obisesan, Thomas O, Wolday, Saba, Allard, Joanne, Lerner, Alan, van Donkelaar, Marjolein M J, Ogrocki, Paula, Hudson, Leon, Fletcher, Evan, Carmichael, Owen, Olichney, John, Kittur, Smita, Borrie, Michael, Lee, T-Y, Bartha, Rob, van Eijk, Kristel R, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M, Preda, Adrian, Nguyen, Dana, Tariot, Pierre, Reeder, Stephanie, Bates, Vernice, Walters, Raymond K, Capote, Horacio, Rainka, Michelle, Scharre, Douglas W, Kataki, Maria, Adeli, Anahita, Zimmerman, Earl A, Celmins, Dzintra, Brown, Alice D, Pearlson, Godfrey D, Blank, Karen, Westlye, Lars T, Anderson, Karen, Santulli, Robert B, Kitzmiller, Tamar J, Schwartz, Eben S, Sink, Kaycee M, Williamson, Jeff D, Garg, Pradeep, Watkins, Franklin, Ott, Brian R, Querfurth, Henry, Whelan, Christopher D, Tremont, Geoffrey, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Rosen, Howard J, Miller, Bruce L, Mintzer, Jacobo, Spicer, Kenneth, Bachman, David, Finger, Elizabether, Toro, Roberto, Winkler, Anderson M, Pasternak, Stephen, Rachinsky, Irina, Drost, Dick, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K, Ponto, Laura L Boles, Zwiers, Marcel P, Shim, Hyungsub, Smith, Karen Elizabeth, Relkin, Norman, Chaing, Gloria, Raudin, Lisa, Smith, Amanda, Fargher, Kristin, Raj, Balebail Ashok, Amin, Najaf, Becker, Diane, Alhusaini, Saud, Beiser, Alexa, Debette, Stéphanie, DeStefano, Anita, Hofer, Edith, Hofman, Albert, Niessen, Wiro J, Smith, Albert, Tzourio, Christophe, Vaidya, Dhananjay, Athanasiu, Lavinia, Vernooij, Meike W, Goldstein, David B, Heinzen, Erin L, Shianna, Kevin, Radtke, Rodney, Ottmann, Ruth, Albrecht, Lisa, Andrew, Chris, Arroyo, Mercedes, Artiges, Eric, Ehrlich, Stefan, Aydin, Semiha, Bach, Christine, Banaschewski, Tobias, Barbot, Alexis, Barker, Gareth, Boddaert, Nathalie, Bokde, Arun, Bricaud, Zuleima, Bromberg, Uli, Bruehl, Ruediger, Hakobjan, Marina M H, Büchel, Christian, Cachia, Arnaud, Cattrell, Anna, Conrod, Patricia, Constant, Patrick, Crombag, Hans, Czech, Katharina, Dalley, Jeffrey, Decideur, Benjamin, Desrivieres, Sylvane, Hartberg, Cecilie B, Fadai, Tahmine, Flor, Herta, Frouin, Vincent, Fuchs, Birgit, Gallinat, Jürgen, Garavan, Hugh, Briand, Fanny Gollier, Gowland, Penny, Head, Kay, Heinrichs, Bert, Haukvik, Unn K, Heym, Nadja, Hübner, Thomas, Ihlenfeld, Albrecht, Ireland, James, Ittermann, Bernd, Ivanov, Nikolay, Jones, Jennifer, Klaassen, Arno, Heister, Angelien J G A M, Lalanne, Christophe, Lathrop, Mark, Lanzerath, Dirk, Lemaitre, Hervé, Lüdemann, Katharina, Mallik, Catherine, Mangin, Jean-François, Mann, Karl, Mar, Adam, Hoehn, David, Martinot, Jean-Luc, Massicotte, Jessica, Mennigen, Eva, Mesquita de Carvahlo, Fabiana, Mignon, Xavier, Miranda, Ruben, Müller, Kathrin, Nees, Frauke, Nymberg, Charlotte, Paillere, Marie-Laure, Wittfeld, Katharina, Kasperaviciute, Dalia, Pena-Oliver, Yolanda, Poline, Jean-Baptiste, Poustka, Luise, Rapp, Michael, Reed, Laurence, Robert, Gabriel, Reuter, Jan, Liewald, David C M, Ripke, Stephan, Ripley, Tamzin, Robbins, Trevor, Rodehacke, Sarah, Romanowski, Alexander, Ruggeri, Barbara, Schilling, Christina, Schmäl, Christine, Schmidt, Dirk, Lopez, Lorna M, Schneider, Sophia, Schroeder, Markus, Schubert, Florian, Schwartz, Yannick, Smolka, Michael, Sommer, Wolfgang, Spanagel, Rainer, Speiser, Claudia, Spranger, Tade, Stedman, Alicia, Makkinje, Remco R R, Steiner, Sabina, Stephens, Dai, Strache, Nicole, Ströhle, Andreas, Struve, Maren, Subramaniam, Naresh, Theobald, David, Topper, Lauren, Vollstaedt-Klein, Sabine, Walaszek, Bernadeta, Matarin, Mar, Weiß, Katharina, Werts, Helen, Whelan, Robert, Williams, Steve, Yacubian, Juliana, Ziesch, Veronika, Zilbovicius, Monica, Wong, C Peng, Lubbe, Steven, Naber, Marlies A M, Martinez-Medina, Lourdes, Kepa, Agnes, Fernandes, Alinda, Tahmasebi, Amir, Abrahamowicz, Michal, Gaudet, Daniel, Leonard, Gabriel, Perron, Michel, Richer, Louis, Seguin, Jean, McKay, D Reese, Veillette, Suzanne, Needham, Margaret, Nugent, Allison C, Pütz, Benno, Abramovic, Lucija, Royle, Natalie A, Sprooten, Emma, Trabzuni, Daniah, van der Marel, Saskia S L, van Hulzen, Kimm J E, Walton, Esther, Wolf, Christiane, Almasy, Laura, Ames, David, Andersson, Micael, Arepalli, Sampath, Assareh, Amelia A, Bastin, Mark E, Brodaty, Henry, Bulayeva, Kazima B, Carless, Melanie A, Cichon, Sven, Corvin, Aiden, Curran, Joanne E, Czisch, Michael, MUMC+: DA Klinische Genetica (5), RS: GROW - Developmental Biology, RS: GROW - R4 - Reproductive and Perinatal Medicine, Université de Montréal. Faculté de médecine. Département de psychiatrie et d'addictologie, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), QIMR Berghofer Medical Research Institute, Department of Psychiatry, Donders Centre for Neuroscience, Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen], Department of Human Genetics, Radboud University Medical Center [Nijmegen], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, PRES Sorbonne Paris Cité, Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Gènes, Synapses et Cognition (CNRS - UMR3571 ), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Greifswald University Hospital, University Medical Center [Utrecht], European Commission, University of Edinburgh, Lagos State University (LASU), Heriot-Watt University [Edinburgh] (HWU), Unité d'expérimentation sur les Ruminants de Theix, Institut National de la Recherche Agronomique (INRA), Donders Institute for Brain, Cognition and Behaviour, Radboud University [Nijmegen], University of Oslo (UiO), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada], School of Technical Physics, Xidian University, Dept. of Mechanical Engineering, McMaster University [Hamilton, Ontario], Biological Psychology, Neuroscience Campus Amsterdam & EMGO Institute for Health and Care Research, VU University & VU Medical Center, Amsterdam 1081 BT, The Netherlands, Haukeland University Hospital, University of Bergen (UiB), Physicochimie des Processus de Combustion et de l’Atmosphère - UMR 8522 (PC2A), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Universität Heidelberg [Heidelberg] = Heidelberg University, Language and Genetics Department [Nijmegen], Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, International Max Planck Research School for Language Sciences (IMPRS ), Georgia Institute of Technology [Atlanta], National Institutes of Health [Bethesda] (NIH), Yale University [New Haven], Massachusetts General Hospital [Boston], Mental Health Sciences Unit, University College of London [London] (UCL), Beijing Normal University (BNU), Indiana University School of Medicine, Indiana University System, Indiana Alzheimer Disease Center, Indiana University System-Indiana University System, Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen 37075, Germany, Scottish Fish Immunology Research Centre, School of Biological Sciences, University of Aberdeen, University of California (UC), Medstar Research Institute, Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia, Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Institute of Human Genetics, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], VU University Medical Center [Amsterdam], Respiratory Epidemiology and Public Health, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-MRC-HPA Centre for Environment and Health, Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Institut Parisien de Chimie Moléculaire (IPCM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Umeå Centre for Functional Brain Imaging (UFBI), Umeå University, Umeå 901 87, Sweden, Aging Research Center [Karolinska Institutet] (ARC ), Stockholm University-Karolinska Institutet [Stockholm], Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Department of Neurosciences [Univ California San Diego] (Neuro - UC San Diego), School of Medicine [Univ California San Diego] (UC San Diego), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [Univ California San Diego] (CogSci - UC San Diego), The Hospital for sick children [Toronto] (SickKids), Queensland Institute of Medical Research, School of Psychology, University of Queensland, Brisbane 4072, Australia, University of Queensland [Brisbane], Centre for Advanced Imaging, University of Queensland, Brisbane 4072, Australia, Department of Genomics of Common Disease, Imperial College London, Department of Psychology [Oslo], Faculty of Social Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Deutsche Bundesbank, Department of Neurology and Neurosurgery [Montreal], McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland (RCSI), MetaGenoPolis, Department of Psychiatric Research and Development, Diakonhjemmet Hospital, Oslo 0319, Norway, UCL Institute of Neurology and Epilepsy Society, Department of Medicine, Clinical And Experimental Epilepsy, Dpt of Psychiatry [New Haven], Yale School of Medicine [New Haven, Connecticut] (YSM), Hartford Hospital, Neuropsychiatric Genetics Research Group and Department of Psychiatry, Trinity College Institute of Psychiatry, Trinity College Dublin, Dublin 2, Ireland, Institute of Food & Health, University College Dublin, University College Dublin [Dublin] (UCD), Statistical Genetics Group, State Key Laboratory of Lead Compound Research, WuXi AppTec, Co., Ltd, Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL, Institute of Neurology [London], Department of Genetics, King Faisal Specialist Hospital and Research Centre (KFSH & RC), Centre épigénétique et destin cellulaire (EDC), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Dundee Technopole, CXR Biosciences Ltd, Ninewells Hospital and Medical School, Biomedical Research Centre, University of Dundee, Southwest Foundation for Biomedical Research, Department of Psychiatry and National Ageing Research Institute, University of Melbourne, Department of Clinical Genetics, Department of Medical Parasitology and Mycology, School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-Tehran University of Medical Siences, Centre for Healthy Brain Ageing, University of New South Wales [Sydney] (UNSW), Dementia Collaborative Research Centre, N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia, Texas Biomedical Research Institute [San Antonio, TX], Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Division of Medical Genetics, University of Basel (Unibas), Trinity College Dublin-St. James's Hospital, Neuropsychiatric Genetics Research Group, Trinity College Dublin, Department of Materials Science & Metallurgy, University of Cambridge [UK] (CAM), Bijvoet Center of Biomolecular Research [Utrecht], Utrecht University [Utrecht], School of Psychology, University of Queensland, Laboratory of Neurogenetics, The University of Texas Health Science Center at Houston (UTHealth), Department of Genomics, Department of Medical and Molecular Genetics, South Texas Veterans Health Care System, San Antonio, Texas 78229, USA, Biofunctional Imaging, Immunology Frontier Research Center, Osaka University, Osaka 565-0871, Japan, Public Health Genomics Unit, Department of Biomolecular Engineering, Rheinische Friedrich-Wilhelms-Universität Bonn, Estación Experimental de Pastos y Forrajes 'Indio Hatuey', University Medical Center Groningen [Groningen] (UMCG), Neuronal Plasticity / Mouse Behaviour, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Department of Psychiatry, Fujita Health University School of Medicine, Toyoake 470-1192, Japan, Department of Radiology, Mayo Clinic, Department of Clinical Neurology [Oxford], University of Oxford-FMRIB Centre- John Radcliffe Hospital [Oxford University Hospital], University of Maryland School of Medicine, University of Maryland System, University of Sussex, Institute of Cognitive Neuroscience, United Kingdom Met Office [Exeter], University of Maryland [Baltimore County] (UMBC), University of Maryland System-University of Maryland System-University of Maryland School of Medicine, Department of Civil and Structural Engineering, The Hong Kong Polytechnic University [Hong Kong] (POLYU)-The Hong Kong Polytechnic University [Hong Kong] (POLYU), Columbia University Irving Medical Center (CUIMC), Lymphocyte Cell Biology Unit, Laboratory of Genetics, Centre for Advanced Imaging, Psychiatry and Psychotherapy, KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Department of Statistics [Warwick], University of Warwick [Coventry], Osaka University [Osaka], Institute of Psychiatry, King’s College London, London SE5 8AF, UK, University of Calgary, Psychiatry and Human Behavior, University of California, Irvine, California 92617, USA, University of California [Irvine] (UC Irvine), Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], University Hospital Mannheim | Universitätsmedizin Mannheim-University Hospital Mannheim | Universitätsmedizin Mannheim, Space and Naval Warfare Systems Center, Klinik für Psychiatrie, Martin-Luther-University Halle-Wittenberg, Department of Psychiatry, Division of Medical Psychology, Genetics of Mental Illness and Brain Function, Neuroscience Research Australia, Développement et amélioration des plantes (UMR DAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney 2052, Australia, Laboratory of Neuro Imaging [Los Angeles] (LONI), Departamento de Física Aplicada, Universidade de Vigo, Georgia State University, University System of Georgia (USG), Genentech, Inc. [San Francisco], Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden, Universiteit Leiden, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Department of Neurobiology, Care Sciences and Society, Karolinska Institutet [Stockholm], University of Manchester [Manchester], The University of Tennessee Health Science Center [Memphis] (UTHSC), iangsu Province Key Laboratory for Inflammation and Molecular Drug Target, Medical College of Nantong University, Nantong 226001, China, Centre for Ultrahigh Bandwidth Devices for Optical Systems (CUDOS), Macquarie University, Cognitive Neuroscience Laboratory (CNL), Harvard University, Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud University [Nijmegen]-Radboud University [Nijmegen], Icahn School of Medicine at Mount Sinai [New York] (MSSM), The Mind Research Network, Department of Electrical and Computer Engineering [Albuquerque] (ECE Department), The University of New Mexico [Albuquerque], Division of Molecular and Cellular Therapeutics, Scottish Association for Marine Science (SAMS), Structural Biology Laboratory, Department of Chemistry, University of York, Neurology Division, Beaumont Hospital, Dublin 9, Ireland, Beaumont Hospital, Department of Neurology, Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Deparment of Medical Genetics, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Department of Psychiatry, University of Iowa, University of Iowa [Iowa City], Institute for Community Medicine, Department Epidemiology of Health Care and Community Health, Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig-Universität Leipzig, Institute of Clinical Chemistry and Laboratory Medicine, Department of Health Science, Division of Health and Rehabilitation, Luleå University of Technology (LUT), Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Psychiatric and Neurodevelopmental Genetics Unit, 849 Department of Human Genetics, Institute for Community Medicine, Institute for Energy Systems and Thermodynamics, Renyi Institute, Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, NSW, Department of Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam 3000 CB, The Netherlands, Department of Radiology, Erasmus University Medical Centre, Rotterdam 3015 CN, The Netherlands, Vrije Universiteit Amsterdam [Amsterdam] (VU), Cell Biology and Gene Expression Section, National Institute of Health, Bethesda, Dept of Psychology, Laboratoire de Recherche Magellan, Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Institut d'Administration des Entreprises (IAE) - Lyon, Institut de Socio-économie des Entreprises et des ORganisations (ISEOR), Institut de socio-économie des entreprises et des organisations, Department of Psychiatry and Psychotherapy, HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Centre for Allergy Research, Department of Medicine, Clinical Pharmacology Unit, Karolinska University Hospital [Stockholm], Medical University of Łódź (MUL), Psychiatry Institute, Department of Health and Human Services, Institute of Gerontology and Geriatrics, Università degli Studi di Perugia = University of Perugia (UNIPG), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Australian Centre for Research into Injury in Sport and its Prevention, Monash University [Clayton], University Medical Center [Utrecht]-Brain Center Rudolf Magnus, School of Psychology [Nottingham], University of Nottingham, UK (UON), McConnell Brain Imaging Centre (MNI), SickKids - The Hospital for sick children, European Centre for Medium-Range Weather Forecasts (ECMWF), University of Eastern Finland, Centre for Population Health Sciences, Lieber Institute for Brain Development [Baltimore] (LIBD), Johns Hopkins University (JHU), Institut Gilbert-Laustriat : Biomolécules, Biotechnologie, Innovation Thérapeutique, Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Graz 8010, Austria, Austrian Institute of Technology [Vienna] (AIT), INSERM Research Center for Epidemiology and Biostatistics (U897) Team Neuroepidemiology, Bordeaux, France College of Health Sciences, University of Bordeaux, Bordeaux, France, INSERM, Neuroepidemiology U708, Bordeaux, France, Karlsruhe Institute of Technology (KIT), General Internal Medicine, Johns Hopkins School of Medicine, Johns Hopkins University School of Medicine [Baltimore], Harvard Medical School [Boston] (HMS), Computer Science and Artificial Intelligence Laboratory [Cambridge] (CSAIL), Massachusetts Institute of Technology (MIT), University of Washington [Seattle], Department of Physics [Stockholm], Stockholm University, Center for Medical Systems Biology, Netherlands Genomics Initiative, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands, Boston University [Boston] (BU), Groupe d'Imagerie Neurofonctionnelle (GIN - UMR 5296), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Faculty of Medicine, University of Iceland [Reykjavik], Icelandic Heart Association, Kopavogur, Iceland., Boston University School of Medicine (BUSM), Laboratoire d'Ingénierie des Matériaux de Bretagne (LIMATB), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of California-University of California, Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen], Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Gènes, Synapses et Cognition, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), UE 1354 Unité d'expérimentation sur les Ruminants de Theix, Institut National de la Recherche Agronomique (INRA)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Unité d'expérimentation sur les Ruminants de Theix (UE RT), Radboud university [Nijmegen], McGill University, University of Bergen (UIB), Universität Heidelberg [Heidelberg], Beijing Normal University, University of California, University of Bonn, Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Department of Neurosciences [San Diego], Department of Cognitive Sciences [San Diego], The Hospital for Sick Children, University of Toronto, Toronto M5G 1X8, Canada, McGill University-McGill University, US 1367 MetaGénoPolis, Institut National de la Recherche Agronomique (INRA)-Département Microbiologie et Chaîne Alimentaire (MICA), Institut National de la Recherche Agronomique (INRA)-MetaGénoPolis (MGP), Yale University School of Medicine, King Faisal Specialist Hospital and Research Centre, Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Texas Biomedical Research Institute [San Antonio, Texas], Bijvoet Center of Biomolecular Research, Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne 3101, Australia, Department of Genomics, Life & Brain Center, University of Bonn, Bonn D-53127, Germany, University of Oxford [Oxford]-FMRIB Centre- John Radcliffe Hospital [Oxford University Hospital], School of Psychology, University of Sussex, Brighton BN1 9QH, UK, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Department of Neurology [University of Calgary], Department of Clinical Neuroscience [University of Calgary], University of California [Irvine] (UCI), Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Centre National de la Recherche Scientifique (CNRS)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Universidate de Vigo, Harvard University [Cambridge], Radboud university [Nijmegen]-Radboud university [Nijmegen], Université Libre de Bruxelles [Bruxelles] (ULB)-Hôpital Erasme (Bruxelles), Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Centre de Recherche Magellan, Institut d'Administration des Entreprises (IAE) - Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon, Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Università degli Studi di Perugia (UNIPG), Department of neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, Department of neurology, University of Eastern Finland-University Hospital of Kuopio-University of Eastern Finland-University Hospital of Kuopio, Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Service NEUROSPIN (NEUROSPIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université de Bretagne Sud (UBS)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Université de Brest (UBO), The Alzheimer’s Disease Neuroimaging Initiative, The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen], Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), FMRIB Centre- John Radcliffe Hospital [Oxford University Hospital]-University of Oxford [Oxford], Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut Pasteur [Paris], Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), University of Oxford [Oxford]- John Radcliffe Hospital [Oxford University Hospital]-FMRIB Centre, Neurology, Psychiatry, Anatomy and neurosciences, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Biological Psychology, Cognitive Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, EMGO+ - Mental Health, Child and Adolescent Psychiatry / Psychology, Epidemiology, Radiology & Nuclear Medicine, Laboratory of Neuro Imaging, David Geffen School of Medicine, University of California, Los Angeles, California, USA, Donders Centre for Neuroscience, Radboud University Nijmegen Medical Centre, MRC- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK, Génétique humaine et Fonctions cognitives - Human Genetics and Cognitive Functions, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Greifswald 17487, Germany, Department of Psychiatry, University Medicine Greifswald, Greifswald 17489, Germany, Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands, Brain Research Imaging Centre, University of Edinburgh, Edinburgh EH4 2XU, UK, Department of Computer Science, Lagos State University, Lagos, Nigeria, Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK, Heriot-Watt University [Edinburgh] ( HWU ), Institut National de la Recherche Agronomique ( INRA ) -Physiologie Animale et Systèmes d'Elevage ( PHASE ) -Unité d'expérimentation sur les Ruminants de Theix ( UE RT ), Department of Human Genetics, Radboud university medical center, Nijmegen 6500 HB, The Netherlands, Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen 6500 HB, The Netherlands, NORMENT - KG Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo N-0316, Norway, NORMENT - KG Jebsen Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo 0424, Norway, Montreal Neurological Institute [Montréal], NORMENT - KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway, Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen 5021, Norway, Physicochimie des Processus de Combustion et de l’Atmosphère - UMR 8522 ( PC2A ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands, International Max Planck Research School for Language Sciences, Nijmegen 6525 XD, The Netherlands, Human Genetics Branch and Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health Intramural Research Program, Bethesda, Maryland 20892, USA, Department of Psychology, Yale University, New Haven, Connecticut 06511, USA, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts 02115, USA, University College of London [London] ( UCL ), Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA, Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA, Center for Neurobehavioral Genetics, University of California, Los Angeles, California 90095, USA, Université de Bonn, Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam 1081 HL, The Netherlands, Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh EH10 5HF, UK, Imperial College London-School of public health-MRC-HPA Centre for Environment and Health, Cibersam (Centro Investigación Biomédica en Red Salud Mental), Madrid 28029, Spain, Institut Parisien de Chimie Moléculaire ( IPCM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Centre National de la Recherche Scientifique ( CNRS ), Aging Research Center [Karolinska Institutet] ( ARC ), Max Planck Institute of Psychiatry, Munich 80804, Germany, Multimodal Imaging Laboratory, Department of Neurosciences, University of California, San Diego, California 92093, USA, Department of Cognitive Sciences, University of California, San Diego, California 92161, USA, Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Brisbane, Queensland, Australia, Department of Psychology, University of Oslo, Oslo 0373, Norway, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal H3A 2B4, Canada, Molecular and Cellular Therapeutics, The Royal College of Surgeons, Dublin 2, Ireland, Institut National de la Recherche Agronomique ( INRA ) -MetaGénoPolis ( MGP ) -Microbiologie et Chaîne Alimentaire ( MICA ), UCL Institute of Neurology, London, United Kingdom and Epilepsy Society, London WC1N 3BG, UK, Department of Medicine, Imperial College London, London W12 0NN, UK, Centre for Cognitive Ageing and Cognitive Epidemiology, Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK, Yale School of Medicine, Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut 06106, USA, University College Dublin [Dublin] ( UCD ), Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK, Department of Genetics, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia, Centre épigénétique et destin cellulaire ( EDC ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), School of public health-Tehran University of Medical Siences, University of New South Wales [Sydney] ( UNSW ), Texas Biomedical Research Institute, San Antonio, Texas 78245, USA, Institute of Neuroscience and Medicine ( INM-1 ), University of Basel ( Unibas ), Cambridge University, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA, University of Texas Health Science Center, San Antonio, Texas 78229, USA, Clinical Research Branch, National Institute on Aging, Baltimore, Maryland 20892, USA, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald 17475, Germany, University Medical Center Groningen, University of Groningen, University of Greifswald, Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA, NICHD Brain and Tissue Bank for Developmental Disorders, University of Maryland Medical School, Baltimore, Maryland 21201, USA, nstitute of Cognitive Neuroscience, University College London, London WC1N 3AR, UK, Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland, Baltimore, Maryland 21201, USA, Department of Pathology and Cell Biology, Columbia University Medical Center, New York 10032, USA, Lymphocyte Cell Biology Unit, Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA, University of Oslo ( UiO ) -Institute of Clinical Medicine-Oslo University Hospital, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo ( UiO ) -European Network of Bipolar Research Expert Centers (ENBREC) Group, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin 10117, Germany, Erasmus MC, Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, National Institutes of Health (NIH), Bethesda, Maryland, USA, Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA, Central Institute of Mental Health, UMR 1098 Développement et Amélioration des Plantes, Institut National de la Recherche Agronomique ( INRA ) -Université Montpellier 2 - Sciences et Techniques ( UM2 ) -MontpellierSupAgro ( MontpellierSupAgro ) -Génétique et amélioration des plantes ( G.A.P. ) -Développement et Amélioration des Plantes ( DAP ), Laboratory of Neuro Imaging [Los Angeles] ( LONI ), University of California at Los Angeles [Los Angeles] ( UCLA ), Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK, Genentech, South San Francisco, California 94080, USA, Psychiatry and Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden 2333 ZA, The Netherlands, LUMC, Carver College of Medicine, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm SE-141 83, Sweden, Behavioral Epidemiology Section, National Institute on Aging Intramural Research Program, Baltimore, Maryland 20892, USA, Faculty of Life Sciences, University of Manchester, Manchester M13 9PT, UK, Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA, Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA, Centre Interlangues - Texte, Image, Langage ( TIL ), Université de Bourgogne ( UB ), Centre for Ultrahigh Bandwidth Devices for Optical Systems ( CUDOS ), Icahn School of Medicine at Mount Sinai [New York], The Mind Research Network & LBERI, Albuquerque, New Mexico 87106, USA, Department of ECE, University of New Mexico, Albuquerque, New Mexico 87131, USA, Scottish Association for Marine Science ( SAMS ), Department of Neurology, Hopital Erasme, Universite Libre de Bruxelles, Brussels 1070, Belgium, National Institutes of Health ( NIH ) -National Institute of Mental Health (NIMH), Harvard Medical School [Boston] ( HMS ) -Massachusetts General Hospital [Boston], Department of Psychiatry, University of Iowa, Iowa City, Iowa 52242, USA, Luleå University of Technology ( LUT ), Broad Institute of MIT and Harvard, Massachusetts General Hospital, Vrije Universiteit Amsterdam [Amsterdam] ( VU ), Université Jean Moulin - Lyon III-Institut d'Administration des Entreprises (IAE) - Lyon, Institut de Socio-économie des Entreprises et des ORganisations ( ISEOR ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Laboratoire d'Informatique de Grenoble ( LIG ), Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut National Polytechnique de Grenoble ( INPG ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Osaka 565-0871, Japan, Karolinska University Hospital (Solna), Medical University of Łódź ( MUL ), National Institutes of Health ( NIH ), University of Perugia, Commonwealth Scientific and Industrial Research Organisation, University Medical Center Utrecht-Brain Center Rudolf Magnus, University of Nottingham, UK ( UON ), McConnell Brain Imaging Centre ( MNI ), The Hospital for sick children [Toronto] ( SickKids ), Department of Medical and Molecular Genetics, King’s College London, London SE1 9RT, UK, European Centre for Medium-Range Weather Forecasts ( ECMWF ), Lieber Institute for Brain Development, Baltimore, Maryland 21205, USA, Departments of Psychiatry, Neurology, Neuroscience and the Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA, Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique ( CNRS ), Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands, Austrian Institute of Technology [Vienna] ( AIT ), Karlsruhe Institute of Technology ( KIT ), General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA, Department of Radiology, Erasmus Medical Center University Medical Center, Rotterdam, The Netherlands, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA, Computer Science and Artificial Intelligence Laboratory [Cambridge] ( CSAIL ), Massachusetts Institute of Technology ( MIT ), Department of Epidemiology, University of Washington, Seattle, Washington, USA, Department of Neurology, University of Washington, Seattle, Washington, USA, Department of Physics, Stockholm University ( Department of Physics, Stockholm University ), Université de Lille, Sciences Humaines et Sociales, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA, Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center University Medical Center, Rotterdam, The Netherlands, Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA, Groupe d'Imagerie Neurofonctionnelle ( GIN - UMR 5296 ), Service NEUROSPIN ( NEUROSPIN ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ) -Université de Bordeaux ( UB ), Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA, Faculty of Medicine, University of Iceland, Reykjavik, Iceland, Department of Neurology, Boston University School of Medicine, Framingham Heart Study, Boston, MA, Department of Neurology, Erasmus Medical Center University Medical Center, Rotterdam, The Netherlands, Laboratoire d'Ingénierie des Matériaux de Bretagne ( LIMATB ), Université de Bretagne Sud ( UBS ) -Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université de Brest ( UBO ) -Université de Brest ( UBO ), King's College, Department of Psychiatry, Radboud university medical center, Nijmegen 6500 HB, The Netherlands, and Broad Institute of © 2012 Nature America, Inc. All rights reserved. Nature Ge N etics aDV a NCE ONLINE PUBLIC a TION 7 l e t t e r s Harvard and MIT, Cambridge, Massachusetts, US
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CHROMATIN ,Male ,Netherlands Twin Register (NTR) ,Aging ,Identification ,nervous-system ,human geography ,SEGMENTATION ,Caudate nucleus ,Apoptosis ,Expression ,Genome-wide association study ,Striatum ,Hippocampal formation ,Hippocampus ,BASAL GANGLIA ,130 000 Cognitive Neurology & Memory ,Basal ganglia ,genetics [Gene Expression Regulation, Developmental] ,Hippocampal ,Child ,anatomy & histology [Skull] ,Aged, 80 and over ,Genetics ,Sex Characteristics ,KINECTIN ,Genome-wide association ,Multidisciplinary ,Putamen ,Brain ,Gene Expression Regulation, Developmental ,blood ,brain ,disease incidence ,genetic variation ,neurology ,Organ Size ,Human brain ,Middle Aged ,organization ,Magnetic Resonance Imaging ,genetics [Genetic Variation] ,Chromatin ,Dynamics ,genetics [Membrane Proteins] ,medicine.anatomical_structure ,genetics [Aging] ,Anatomy & histology ,[ SCCO.NEUR ] Cognitive science/Neuroscience ,Female ,ddc:500 ,anatomy & histology [Caudate Nucleus] ,Neuroinformatics ,EXPRESSION ,Adult ,Adolescent ,Evolution ,anatomy & histology [Hippocampus] ,ORGANIZATION ,genetics [Genetic Loci] ,Biology ,Article ,Young Adult ,SDG 3 - Good Health and Well-being ,Journal Article ,medicine ,Humans ,GENOME-WIDE ASSOCIATION ,General ,genetics [Apoptosis] ,Kinectin ,Aged ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,HIPPOCAMPAL ,IDENTIFICATION ,genetics [Organ Size] ,[SCCO.NEUR]Cognitive science/Neuroscience ,Skull ,segmentation ,Genetic Variation ,Membrane Proteins ,NERVOUS-SYSTEM ,anatomy & histology [Putamen] ,Genetic Loci ,KTN1 protein, human ,Caudate Nucleus ,anatomy & histology [Brain] ,Neuroscience ,Genome-Wide Association Study - Abstract
Contains fulltext : 144426.pdf (Publisher’s version ) (Closed access) Contains fulltext : 144426pre.pdf (Author’s version preprint ) (Open Access) The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 x 10(-33); 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunction. 6 p.
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- 2015
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8. Water adsorption kinetics and diffusion in dense SAPO-34 layers on porous aluminium fibre structures – macroscopic measurements by a Volumetric Differential Pressure Step Method: Water adsorption kinetics and diffusion in dense SAPO-34 layers on porousaluminium fibre structures – macroscopic measurements by a VolumetricDifferential Pressure Step Method
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Füldner, Gerrit, Velte, Andreas, Fraunhofer Institute Solar Energy Systems (ISE), and Universität Leipzig
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diffusion, transport ,ddc:530 - Published
- 2015
9. An investigation of the effects of wind-induced inclination on floating wind turbine dynamics: heave plate excursion
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Atilla Incecik, Raffaello Antonutti, Christophe Peyrard, Lars Johanning, David Ingram, Simulation et Traitement de l'information pour l'Exploitation des systèmes de Production (EDF R&D STEP), EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Laboratoire d'Hydraulique Saint-Venant / Saint-Venant Laboratory for Hydraulics (Saint-Venant), École des Ponts ParisTech (ENPC)-PRES Université Paris-Est-EDF (EDF)-Avant création Cerema, University of Edinburgh, University of Exeter, Institute for Energy Systems, and University of Strathclyde [Glasgow]
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Engineering ,Environmental Engineering ,business.industry ,Response analysis ,Heave Plate ,Full scale ,Ocean Engineering ,Floating wind turbine ,Structural engineering ,Turbine ,Semi-Submersible ,Offshore wind power ,Water Entrapment ,Hull ,Wave loading ,Wind wave ,[SDE]Environmental Sciences ,14. Life underwater ,Inclination ,business ,ComputingMilieux_MISCELLANEOUS ,Marine engineering ,Tilt - Abstract
A current trend in offshore wind is the quest for exploitation of ever deeper water sites. At depths between 50 m and 100 m a promising substructure is the column-stabilised semi-submersible floating type. This solution is currently being tested at full scale at the WindFloat and Fukushima Forward demonstrator sites in Portugal and Japan respectively. The semi-sub design class frequently adopts passive motion control devices based on the water entrapment principle, such as heave plates, tanks, and skirts. Whilst effective for small inclinations, these can underperform when the structure is inclined under wind loading. This study examines the alteration of potential hydrodynamics due to wind-induced trim (geometric non-linearity) and its impact on the wind turbine׳s wave response with focus on heave plate performance. Firstly it is shown by using the boundary element approach that wind trim affects wave loading in the ocean wave band between 5 s and 15 s, and introduces hydrodynamic coupling typical of non-symmetric hulls. These features are incorporated in frequency-domain dynamic response analysis to demonstrate that said effects bear a significant impact on the turbine׳s motion in waves. Accounting of heave plate excursion improves the assessment of the seaworthiness of floating wind turbine concepts, potentially leading to new design constraints.
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- 2014
- Full Text
- View/download PDF
10. Workshops and virtual laboratories of the Pow'Wow project
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Gregor Giebel, Rebecca Barthelmie, Anna Maria Sempreviva, Abha Sood, Carl von Ossietzky, Bernhard Lange, Pierre Pinson, Ignacio Marti Perez, Georges Kariniotakis, Teresa Pontes, Pedro Rosas, Alexandre Pereira, Risø National Laboratory for Sustainable Energy (Risø DTU), Technical University of Denmark [Lyngby] (DTU), Institute for Energy Systems, University of Edinburgh, Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Risø National Laboratory for Sustainable Energy ( Risø DTU ), Technical University of Denmark [Lyngby] ( DTU ), Centre Énergétique et Procédés ( CEP ), and MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL )
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[ SPI.ENERG ] Engineering Sciences [physics]/domain_spi.energ ,Renewable energy ,[SPI.NRJ]Engineering Sciences [physics]/Electric power ,forecasting ,[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH] ,[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH] ,[MATH.MATH-PR]Mathematics [math]/Probability [math.PR] ,[ SPI.NRJ ] Engineering Sciences [physics]/Electric power ,[SPI.ENERG]Engineering Sciences [physics]/domain_spi.energ ,[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] ,[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST] ,[ MATH.APPL ] Mathematics [math]/domain_math.appl ,[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR] ,Wind energy ,ComputingMilieux_MISCELLANEOUS ,[MATH.APPL]Mathematics [math]/domain_math.appl - Abstract
International audience
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- 2008
11. POW WOW Virtual laboratories and best practice guides for the prediction of Waves Wakes and Offshore
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Gregor Giebel, Rebecca Barthelmie, Torben Skov Nielsen, Georges Kariniotakis, Perez, I. M., Sanchez, I., Julio Usaola, Bremen, Lueder V., Abha Sood, Jens Tambke, Ulrich Focken, Matthias Lange, Bernhard Lange, George Kallos, Teresa Pontes, Katarzyna Michalowska, Anna Maria Sempreviva, Risø National Laboratory for Sustainable Energy ( Risø DTU ), Technical University of Denmark [Lyngby] ( DTU ), Institute for Energy Systems, University of Edinburgh, Department of Informatics and Mathematical Modeling, Centre Énergétique et Procédés ( CEP ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), CENER, Centro Nacional de Energias Renovables, Universidad Carlos III de Madrid [Madrid], Carl Von Ossietzky Universität Oldenburg, Fachbereich Informatik - Oldenburg, University of Oldenburg, ISET, National and Kapodistrian University of Athens, Unidade de Energia Eolica e dos Oceanos ( UEO ), INETI, ECBREC, Centro Nationale di Ricerca, Consiglio Nazionale delle Ricerche ( CNR ), Risø National Laboratory for Sustainable Energy (Risø DTU), Technical University of Denmark [Lyngby] (DTU), Department of Informatics and Mathematical Modeling [Lyngby] (DTU), Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Universidad Carlos III de Madrid [Madrid] (UC3M), National and Kapodistrian University of Athens (NKUA), Unidade de Energia Eolica e dos Oceanos (UEO), Instituto Nacional de Engenharia, Tecnologia e Inovacao (INETI), and Consiglio Nazionale delle Ricerche (CNR)
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[ SPI.ENERG ] Engineering Sciences [physics]/domain_spi.energ ,Meteorology ,[SPI.ENERG]Engineering Sciences [physics]/domain_spi.energ ,Wind energy - Abstract
International audience; This paper describes a new project trying to harmonise approaches to wave and wind modelling offshore, helping the short-term forecasting and wake research communities by establishing virtual laboratories, offering specialised workshops, and setting up expert groups with large outreach in the mentioned fields. Currently, a good number of research projects is underway on the European and national level in the fields of short-term forecasting of wind power, offshore wind and wave resource prediction, and offshore wakes in large wind farms. The leaders of those research projects are assuming the function of a multiplier towards the larger research and user community. In the fields of short-term forecasting and offshore energy resource, Expert Groups will be formed to act as the central focus point for external stakeholders. The liaison with other groups will also include groups outside of Europe. To facilitate the spread of knowledge, a number of workshops is planned. One of them took place just before this conference on the topic of best practice in the use of short-term forecastingsystems, where utilities with a combined experience of over 50 years and a combined wind power installation of over 30 GW could share their experiences and views on the best use of those systems. A preliminary overview of the resulting best practice guide will be given. One issue hampering the progress in our fields is the difficulty of getting access to good data. In most cases, data on offshore wind or power is strictly confidential, and also data on onshore wind power, especially in conjunction with numerical weather predictions, is not easy to come by. One example of a good testing procedure comes from the Anemos project, where in all 6 test cases were defined, to be run by all involved institutes. This idea is taken to the next level with the set-up of two Virtual Laboratories, one for offshore wake modelling, the other one for short-term forecasting. Both laboratories will be well-defined and maybe already open for business by the time of the workshop.
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- 2006
12. Prediction of waves, wakes and offshore wind - The results of the POW'WOW project
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Giebel, Gregor, Pontes, Teresa, Pinson, Pierre, Barthelmie, Rebecca, Kariniotakis, Georges, Ignacio Marti, Lozano, Sergio, Lange, Bernhard, Bremen, Lueder, Sempreviva, Anna Maria, Michalowska, Katarzyna, Lange, Matthias, Focken, Ulrich, Sanchez, Ismael, Lemos Pereira, Alexandre, Rosas, Pedro, Sood, Abha, Kallos, George, Galanis, Georges, Risø National Laboratory for Sustainable Energy ( Risø DTU ), Technical University of Denmark [Lyngby] ( DTU ), Unidade de Energia Eolica e dos Oceanos ( UEO ), INETI, Institute for Energy Systems, University of Edinburgh, Centre Énergétique et Procédés ( CEP ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), CENER, Centro Nacional de Energias Renovables, ISET, ECBREC, Fachbereich Informatik - Oldenburg, University of Oldenburg, Department of Statistics [Leganes, Madrid], Universidad Carlos III de Madrid [Madrid], Centro de Informatica UFPE [Recife] ( CIn ), Universidade Federal de Pernambuco [Recife], Carl Von Ossietzky Universität Oldenburg, IASA, Risø National Laboratory for Sustainable Energy (Risø DTU), Technical University of Denmark [Lyngby] (DTU), Unidade de Energia Eolica e dos Oceanos (UEO), Instituto Nacional de Engenharia, Tecnologia e Inovacao (INETI), Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Universidad Carlos III de Madrid [Madrid] (UC3M), Centro de Informatica UFPE [Recife] (CIn), and Universidade Federal de Pernambuco [Recife] (UFPE)
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Meteorologi ,Wakes ,Vindenergi ,[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH] ,Wind resource ,[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH] ,Short-term prediction ,[MATH.MATH-PR]Mathematics [math]/Probability [math.PR] ,Meteorology ,[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] ,Offshore ,[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST] ,[ MATH.APPL ] Mathematics [math]/domain_math.appl ,Wind energy ,[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR] ,[MATH.APPL]Mathematics [math]/domain_math.appl ,Wave resource - Abstract
International audience; The POWWOW project (Prediction of Waves, Wakes and Offshore Wind, a EU Coordination Action) aimed to develop synergy in the fields of wind and wave predictions from short to resource timescales by integrating modelling approaches currently used by the communities separately. The project aimed to help these research communities by establishing virtual laboratories, offering specialised workshops, and setting up expert groups with large outreach in the mentioned fields. In this paper, the main results of POWWOW are summarised.
13. POW WOW A coordination Action on the prediction of Waves, Wakes and offshore wind
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Giebel, Gregor, Barthelmie, Rebecca, Badger, Jake, Nielsen, Torben Skov, Kariniotakis, Georges, Ignacio Marti, Sanchez, Ismael, Usaola, Julio, Bremen, Lueder V., Sood, Abha, Tambke, Jens, Focken, Ulrich, Lange, Matthias, Lange, Bernhard, Kallos, George, Pontes, Teresa, Michalowska, Katarzyna, Sempreviva, Anna Maria, Risø National Laboratory for Sustainable Energy ( Risø DTU ), Technical University of Denmark [Lyngby] ( DTU ), Institute for Energy Systems, University of Edinburgh, Systems Analysis Department [Roskilde], Risø National Laboratory, Technical University of Denmark [Lyngby] ( DTU ) -Technical University of Denmark [Lyngby] ( DTU ), Department of Informatics and Mathematical Modeling, Centre Énergétique et Procédés ( CEP ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), CENER, Centro Nacional de Energias Renovables, Department of Statistics [Leganes, Madrid], Universidad Carlos III de Madrid [Madrid], Carl Von Ossietzky Universität Oldenburg, Fachbereich Informatik - Oldenburg, University of Oldenburg, ISET, National and Kapodistrian University of Athens, Unidade de Energia Eolica e dos Oceanos ( UEO ), INETI, ECBREC, The EU Commission, DG Research, is supporting this project. (019898(SES6)), Risø National Laboratory for Sustainable Energy (Risø DTU), Technical University of Denmark [Lyngby] (DTU), Danish Ministry of Science, Technology and Innovation- Danish Ministry of Science, Technology and Innovation, Department of Informatics and Mathematical Modeling [Lyngby] (DTU), Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Universidad Carlos III de Madrid [Madrid] (UC3M), National and Kapodistrian University of Athens (NKUA), Unidade de Energia Eolica e dos Oceanos (UEO), and Instituto Nacional de Engenharia, Tecnologia e Inovacao (INETI)
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[ SPI.NRJ ] Engineering Sciences [physics]/Electric power ,[SPI.NRJ]Engineering Sciences [physics]/Electric power - Abstract
International audience; This paper describes a new project trying to harmonise approaches to wave and wind modelling offshore, helping the short-term forecasting and wake research communities by establishing virtual laboratories, offering specialised workshops, and setting up expert groups with large outreach in the mentioned fields. Currently, a good number of research projects is underway on the European and national level in the fields of short-term forecasting of wind power, offshore wind and wave resource prediction, and offshore wakes in large wind farms. The purpose of this Action is to co-ordinate the activities in these related fields, to spread the knowledge gained from these projects among the partners and colleagues, and to start work on some roadmaps for the future. Therefore, the leaders of research projects are assuming the function of a multiplier towards the larger research and user community. Additionally, in the fields of short-term forecasting and offshore energy resource, Expert Groups will be formed to act as the central focus point for external stakeholders. The liaison with other groups will also include groups outside of Europe. To facilitate the spread of knowledge, a number of workshops are planned, being smaller and more focused on their topics than the usual conferences. One issue hampering the progress in our fields is the difficulty of getting access to good data. In most cases, data on offshore wind or power is strictly confidential, and also data on onshore wind power, especially in conjunction with numerical weather predictions, is not easy to come by. One example of a good testing procedure comes from the Anemos project, where in all 6 test cases were defined, to be run by all involved institutes. This idea is taken to the next level with the set-up of two Virtual Laboratories, one for offshore wake modelling, the other one for short-term forecasting. Two guides on best practices will be written, one on short-term forecasting (bringing the experiences of high wind penetration countries to those with little wind power) and one for wake modelling. In the end, this Coordination Action will also support preparation of next actions such as a Network of Excellence or an Integrated Project, connecting many additional partners within the European Research Area. The project is funded by the European Commission.
14. Short-term forecasting of offshore wind farm production - Developments of the anemos project
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Jens Tambke, Lueder von Bremen, Rebecca Barthelmie, Ana Maria Palomares, Thierry Ranchin, Jérémie Juban, Georges Kariniotakis, Brownsword, R., Waldl, I., Fachbereich Informatik - Oldenburg, University of Oldenburg, ForWind, Carl von Ossietzky University, Institute for Energy Systems, University of Edinburgh, CIEMAT, Ministerio de la Ciencia y de la Innovacion, Centre Énergétique et Procédés ( CEP ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), STFC Rutherford Appleton Laboratory ( RAL ), Science and Technology Facilities Council ( STFC ), overspeed GmBh&CoKG, GmBh&CoKG, Carl Von Ossietzky Universität Oldenburg, Centre Énergétique et Procédés (CEP), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), STFC Rutherford Appleton Laboratory (RAL), and Science and Technology Facilities Council (STFC)
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grid integration ,Offshore wind-power ,[ SPI.NRJ ] Engineering Sciences [physics]/Electric power ,[SPI.NRJ]Engineering Sciences [physics]/Electric power ,smoothing effects ,short-term prediction ,regional forecasts - Abstract
document disponible en suivant ce lien : http://www.ewec2006proceedings.info/allfiles2/968_Ewec2006fullpaper.pdf; International audience; Due to the large dimensions of offshore wind farms, their electricity production must be known well in advance to allow an efficient integration of wind energy into the European electricity grid. For this purpose short-term wind power prediction systems which are already in operation for onshore sites have to be adapted to offshore conditions, which has been a major objective of the EU-project ANEMOS. The paper presents the offshore results of the project partners in a cumulative way. In general, it has been found that the accuracies of wind speed predictions for the offshore sites Horns Rev and FiNO1 are similar or better than for single onshore sites considering that the mean producible power is twice as high as onshore. A weighted combination of two forecast sources leads to reduced errors. A regional forecast of the aggregated power output of all projected sites in the German Bight with a total capacity of 25 GW benefits from spatial smoothing effects by an error reduction factor of 0.73, showing an RMSE of 3GW. An aggregated forecast for the sum of on- and offshore production in Germany with a total capacity of 50GW would benefit from an error reduction factor of 0.43, leading to an RMSE of 3.5 GW. The project partners also investigated the most important parameters which influence the wind speed profile offshore. A new air-sea-interaction model for calculating marine wind speed profiles was developed, i.e. the theory of inertially coupled wind profiles (ICWP). Evaluation with Horns Rev and FINO1 data showed good agreement, especially regarding wind shears. Next, emphasis was given on modelling spatio-temporal characteristics in large offshore farms. New approaches were developed to model wakes behind such farms. Wake losses are anticipated to be at least 5-10% of power output. Wind speed recovery can be predicted to occur between 2 and 15 km downwind of such farms according to the model type chosen. Also, a comparison of mesoscale model results with WAsP predictions was performed to quantify gradients of wind speed over large wind farms. Moreover, the contribution of satellite data in offshore prediction was studied. For the complex situation in the Strait of Gibraltar, a semi-empirical model was developed. Finally, various physical and statistical (i.e. neural networks) models were calibrated on power data from two offshore wind farms: Tunoe and Middelgrunden in Denmark.
15. Multi scenario chaotic transient search optimization algorithm for global optimization technique.
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Diaaeldin IM, Hasanien HM, Qais MH, Alghuwainem S, and Omar OAM
- Abstract
Recently, chaotic maps (CMs) have been employed in many optimization algorithms as a motivator to find a better solution to non-convex engineering problems since they can avoid local optima and find the near-optimal solution rapidly. In this article, a metaheuristic, physics-based algorithm called chaotic transient search optimization (CTSO) algorithm is developed to solve 23 benchmark functions, including uni- and multi-modal optimization functions. Nine CMs integrated into the TSO to improve its search capabilities by applying various scenarios for improving the TSO random numbers. Further, the proposed CTSO was compared with the original TSO using the Wilcoxon p-value test, non-parametric sign test, t-test, convergence curves, and elapsed time. Furthermore, the proposed CTSO algorithm has been employed for solving real-life engineering design problems, including coil spring, welded beam, and pressure vessel design, where CTSO performed better than some recent optimization algorithms in finding the best design., Competing Interests: Declarations. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)
- Published
- 2025
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16. Porous plates at incidence.
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Bose C, Bruce C, and Viola IM
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This paper investigates the effect of permeability on two-dimensional rectangular plates at incidences. The flow topology is investigated for Reynolds number ( Re ) values between 30 and 90, and the forces on the plate are discussed for R e = 30 , where the wake is found to be steady for any value of the Darcy number ( Da ) and the flow incidence ( α ). At R e = 30 , for a plate normal to the stream and vanishing Da , the wake shows a vortex dipole with a stagnation point on the plate surface. With increasing Da , the separation between the vortex dipole and the plate increases; the vortex dipole shortens and is eventually annihilated at a critical Da . For any value of Da below the critical one, the vortex dipole disappears with decreasing α . However, at low Da , the two saddle-node pairs merge at the same α , annihilating the dipole; while at high Da , they merge at different α , resulting in a single recirculating region for intermediate incidences. The magnitudes of lift, drag, and torque decrease with Da . Nevertheless, there exists a range of Da and α , where the magnitude of the plate-wise force component increases with Da , driven by the shear on the plate's pressure side. Finally, the analysis of the fluid impulse suggests that the lift and drag reduction with Da are associated with the weakening of the leading and trailing edge shear layer, respectively. The present findings will be directly beneficial in understanding the role of permeability on small permeable bodies., Competing Interests: Conflict of interestThe authors report no Conflict of interest., (© The Author(s) 2025.)
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- 2025
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17. Development of a CFD-DEM Model for a 1 MW th Chemical Looping Gasification Pilot Plant Using Biogenic Residues as Feedstock.
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Graf C, Coors F, Marx F, Dieringer P, Zeneli M, Stamatopoulos P, Atsonios K, Alobaid F, Ströhle J, and Epple B
- Abstract
Chemical looping gasification (CLG) is a novel dual fluidized bed gasification process that enables the conversion of solid feedstocks to a nitrogen-free syngas through in situ air separation, avoiding a costly air separation unit. While there have been recent advances in experimental studies, modeling of CLG is almost exclusively restricted to lab-scale units or 1D models. In this study, a 3D CFD-DEM model of a 1 MW
th fuel reactor for the conversion of solid biomass was developed. Due to the high computational demand of the DEM method, a coarse-grained approach was used in combination with a simplified reaction network. The hydrodynamics were modeled with an EMMS drag model. Simulations were conducted for two woody biomasses and wheat straw based on experimental data of a 1 MWth CLG reactor. The model was able to predict the pressure profile over the reactor accurately, with a mean error below 10%. Carbon conversion and oxygen carrier oxidation were in good agreement with the experimental data with mean deviations below 5%, while reasonable values below 8 mol % mean error were achieved for the gas composition. Discrepancies in the gas composition as well as temperature profile indicate that further work is needed in the pyrolysis step of the model., Competing Interests: The authors declare no competing financial interest., (© 2024 The Authors. Published by American Chemical Society.)- Published
- 2024
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18. Observer-based H ∞ fuzzy fault-tolerant switching control for ship course tracking with steering machine fault detection.
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Zhang X, Xu X, Li J, Luo Y, Wang G, Brunauer G, and Dustdar S
- Abstract
To enhance the robustness of ship autopilot (SA) system with nonlinear dynamics, unmeasured states, and unknown steering machine fault, an observer-based H
∞ fuzzy fault-tolerant switching control for ship course tracking is proposed. Firstly, a global Takagi-Sugeno (T-S) fuzzy nonlinear ship autopilot (NSA) is developed with full consideration of ship steering characteristics. And the actual navigation data collected from a real ship are used to verify the reasonableness and feasibility of NSA model. Then, virtual fuzzy observers (VFOs) for both fault-free and faulty systems are proposed to estimate the unmeasured states and unknown fault simultaneously, and compensate for the faulty system by using the fault estimates. Accordingly, the VFO-based H∞ robust controller (VFO-HRC) and fault-tolerant controller (VFO-HFTC) are designed. Subsequently, a smoothed Z-score-based fault detection and alarm (FDA) is developed to provide switching signals for which the controller and its corresponding observer should be invoked. Finally, simulation results on the "Yulong" ship demonstrate the effectiveness of the developed control method., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 ISA. Published by Elsevier Ltd. All rights reserved.)- Published
- 2023
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19. Ultrasmall superparamagnetic iron oxide nanoparticles for enhanced tumor penetration.
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Feng X, Xue Y, Gonca S, Ji K, Zhang M, García-García FR, Li Q, Huang Y, Kamenev KV, and Chen X
- Subjects
- Cell Line, Tumor, Diffusion, Metal Nanoparticles chemistry, Magnetite Nanoparticles chemistry
- Abstract
The intrinsic pathological characteristics of tumor microenvironments restrict the deep penetration of nanomedicines by passive diffusion. Magnetophoresis is a promising strategy to improve the tumor penetration of nanomedicines aided by the external magnetic propulsive force. However, the research thus far has been focused on large nanoparticles, while ultrasmall superparamagnetic iron oxide (Fe
3 O4 ) nanoparticles (<∼20 nm) exhibit better performance in many applications such as cancer diagnosis and treatment. Herein, we aim to determine and understand the penetration of ultrasmall Fe3 O4 nanoparticles with various sizes, shapes, surface charges and magnetizations in a 3D tumor spheroid model. The behaviour of the nanoparticles of three sizes (10, 15 and 21 nm), two shapes (spherical and octahedral), and opposite surface charges (negative and positive) was investigated. The results demonstrate that magnetically directed penetration works effectively on ultrasmall Fe3 O4 nanoparticles. In the absence of a magnetic field, the shape and the surface charge of the ultrasmall magnetic nanoparticles have a more pronounced effect on their penetration compared to their dimensions. While in the presence of a magnetic field, the advantage of larger magnetic nanoparticles was obvious because they experience higher magnetic driving force due to their higher magnetic moments. Overall, relatively large (21 nm), spherical, and positively charged ultrasmall Fe3 O4 nanoparticles showed greater penetration in tumors under a magnetic field. Furthermore, our findings suggest that the penetration efficiency of Fe3 O4 nanoparticles is closely related to their cellular internalization ability. Therefore, optimization of the cellular uptake and of the magnetization of magnetic nanoparticles should be considered simultaneously for maximizing their penetration in tumor tissue through magnetophoresis.- Published
- 2023
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20. Reducing energy system model distortions from unintended storage cycling through variable costs.
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Parzen M, Kittel M, Friedrich D, and Kiprakis A
- Abstract
Energy system models are used for policy decisions and technology designs. If not carefully used, models give implausible outputs and mislead decision-making. One implausible effect is "unintended storage cycling", which is observable as simultaneous storage charging and discharging. Methods to remove such misleading effects exist, but are computationally inefficient and sometimes ineffective. Through 124 simulations, we find that determining appropriate levels of variable costs depends on the variable cost allocation to certain components and the solver accuracy used for the optimization. For the latter, if the accuracy is set too loosely, the solver prevents the removal of unintended storage cycling. We further provide a list of recommended variable cost model inputs as well as a minimum threshold that can significantly reduce the magnitude and likeliness of unintended storage cycling. Finally, our results suggest that our approach can remove other similar misleading effects such as unintended line cycling or sector cycling., Competing Interests: The authors declare no competing interests., (© 2022 The Authors.)
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- 2022
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21. Environmental morphing enables informed dispersal of the dandelion diaspore.
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Seale M, Zhdanov O, Soons MB, Cummins C, Kroll E, Blatt MR, Zare-Behtash H, Busse A, Mastropaolo E, Bullock JM, Viola IM, and Nakayama N
- Subjects
- Animals, Seeds, Plants, Taraxacum, Seed Dispersal physiology
- Abstract
Animal migration is highly sensitised to environmental cues, but plant dispersal is considered largely passive. The common dandelion, Taraxacum officinale , bears an intricate haired pappus facilitating flight. The pappus enables the formation of a separated vortex ring during flight; however, the pappus structure is not static but reversibly changes shape by closing in response to moisture. We hypothesised that this leads to changed dispersal properties in response to environmental conditions. Using wind tunnel experiments for flow visualisation, particle image velocimetry, and flight tests, we characterised the fluid mechanics effects of the pappus morphing. We also modelled dispersal to understand the impact of pappus morphing on diaspore distribution. Pappus morphing dramatically alters the fluid mechanics of diaspore flight. We found that when the pappus closes in moist conditions, the drag coefficient decreases and thus the falling velocity is greatly increased. Detachment of diaspores from the parent plant also substantially decreases. The change in detachment when the pappus closes increases dispersal distances by reducing diaspore release when wind speeds are low. We propose that moisture-dependent pappus-morphing is a form of informed dispersal allowing rapid responses to changing conditions., Competing Interests: MS, OZ, MS, CC, EK, MB, HZ, AB, EM, JB, IV, NN No competing interests declared, (© 2022, Seale et al.)
- Published
- 2022
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22. Use of streamnormal forces within an array of tidal power harvesters.
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Viola IM, Gao Z, and Smith J
- Subjects
- Consensus, Energy-Generating Resources, Water
- Abstract
Tidal energy is a renewable and promising energy source. Turbines are deployed under water in marine channels where there is a fast tidal current. The first arrays have only recently been deployed and there is no consensus yet on the optimal array design. In this paper, we explore whether the maximum harvestable power can be increased by using harvesters or flow deflectors that exert a side force in the streamnormal direction to oppose the expansion of the streamtube. The power harvesting and the side force exertion are modelled with sink terms in the two-dimensional Reynolds-averaged Navier-Stokes equations. We found that the power limit increases linearly with the side force, and it should be exerted from the upstream side edges of the array. We conclude that future arrays might not be made only of turbines that harvest power, but also of deflectors such as vertical wings of size comparable to a turbine. The promising results of this theoretical study may direct new research on the use of deflectors to maximise the power harvested by tidal arrays., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2022
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23. Experimental investigation on the synchronization characteristics of a pitch-plunge aeroelastic system exhibiting stall flutter.
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Tripathi D, Shreenivas R, Bose C, Mondal S, and Venkatramani J
- Subjects
- Nonlinear Dynamics
- Abstract
This study focuses on characterizing the bifurcation scenario and the underlying synchrony behavior in a nonlinear aeroelastic system under deterministic as well as stochastic inflow conditions. Wind tunnel experiments are carried out for a canonical pitch-plunge aeroelastic system subjected to dynamic stall conditions. The system is observed to undergo a subcritical Hopf bifurcation, giving way to large-amplitude limit cycle oscillations (LCOs) in the stall flutter regime under the deterministic flow conditions. At this condition, we observe intermittent phase synchronization between pitch and plunge modes near the fold point, whereas synchronization via phase trapping is observed near the Hopf point. Repeating the experiments under stochastic inflow conditions, we observe two different aeroelastic responses: low amplitude noise-induced random oscillations (NIROs) and high-amplitude random LCOs (RLCOs) during stall flutter. The present study shows asynchrony between pitch and plunge modes in the NIRO regime. At the onset of RLCOs, asynchrony persists even though the relative phase distribution changes. With further increase in the flow velocity, we observe intermittent phase synchronization in the flutter regime. To the best of the authors' knowledge, this is the first study reporting the experimental evidence of phase synchronization between pitch and plunge modes of an aeroelastic system, which is of great interest to the nonlinear dynamics community. Furthermore, given the ubiquitous presence of stall behavior and stochasticity in a variety of engineering systems, such as wind turbine blades, helicopter blades, and unmanned aerial vehicles, the present findings will be directly beneficial for the efficient design of futuristic aeroelastic systems.
- Published
- 2022
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24. Particle Engineering by Nano Spray Drying: Optimization of Process Parameters with Hydroethanolic versus Aqueous Solutions.
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Almansour K, Ali R, Alheibshy F, Almutairi TJ, Alshammari RF, Alhajj N, Arpagaus C, and Elsayed MMA
- Abstract
Nano spray drying has emerged as an outstanding platform for engineering micro- and nanoparticles, with growing applications in various areas of drug delivery. As a new technology involving distinct technical design, parameters of the nano spray drying process are not fully elucidated. In a quality-by-design approach, the aim of the current study was to gain thorough understanding of critical determinants of product characteristics in the Büchi Nano Spray Dryer B-90. Following a factorial experimental design, a series of spray drying experiments were conducted to gain new insights into the influences of the inlet temperature, the spray solvent, and the solute concentration in the spray solution on the yield, the moisture content, and the particle size of the nano spray-dried powder material. Special consideration was given to the potential of using hydroethanolic in comparison with aqueous solvent systems and to particle engineering for pulmonary drug delivery. Lactose and mannitol, widely used as excipients in dry powder inhalation formulations, were used as model materials. Lactose and mannitol are known to spray dry in amorphous and crystalline forms, respectively. The yields of spray drying of lactose and mannitol amounted generally to 71.1 ± 6.6% w / w and 66.1 ± 3.5% w / w , respectively. The spray-dried materials exhibited generally a number-weighted median particle diameter of 1.6 ± 0.2 μm and a volume-weighted median particle diameter of 5.1 ± 1.0 μm. A detailed analysis of the results improved understanding of the interplay between process parameters in the Nano Spray Dryer. The results demonstrate that optimization of spray generation is the key to yield optimization. On the other hand, particle size is determined by the spray mesh pore size and the spray solution degree of saturation. Selection of an appropriate spray solvent and using spray solution additives could optimize spray flow. In parallel, the spray solvent and the solute concentration in the spray solution determine the degree of saturation. Guidance on optimization of particle engineering by nano spray drying is provided.
- Published
- 2022
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25. Flying seeds.
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Viola IM and Nakayama N
- Subjects
- Seeds, Sports
- Abstract
Viola and Nakayama introduce flying seeds., (Copyright © 2022 Elsevier Inc. All rights reserved.)
- Published
- 2022
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26. Nano Spray-Dried Drugs for Oral Administration: A Review.
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Öztürk AA and Arpagaus C
- Subjects
- Administration, Oral, Drug Delivery Systems, Humans, Powders, Technology, Pharmaceutical, Nanoparticles, Pharmaceutical Preparations
- Abstract
Spray drying is an important technology that is fast, simple, reproducible, and scalable. It has a wide application range, that is, in food, chemicals, and encapsulation of pharmaceuticals. The technology can be divided into conventional spray drying and nano spray drying. The key advantage of nano spray drying is the production of drug-loaded nanosized particles for various drug delivery applications. The recent developments in nano spray dryer technology and the market launch of the Nano Spray Dryer B-90 by Büchi Labortechnik AG in 2009 enabled the production of submicron spray-dried particles. This review focuses on nanosized drug delivery systems intended for oral administration produced by nano spray drying. First, the nano spray drying concept, the basic technologies implemented in the equipment, and the effects of the various process parameters on the final dry submicron powder properties are presented. Then, the topics of new formulation strategies of oral drugs are highlighted with examples that have entered the research literature in recent years. Next, the subjects of direct conversion of poorly water-soluble drugs, encapsulation of drugs, and drying of preformed nanoparticles are considered. Finally, topics such as morphology, particle size, size distribution, surface analysis, bioavailability, drug release, release kinetics, and solid-state characterization (by differential scanning calorimetry, X-ray diffraction, Fourier transform infrared spectroscopy, nuclear magnetic resonance) of oral drug delivery systems produced by nano spray drying are discussed. The review attempts to provide a comprehensive knowledge base with current literature and foresight to researchers working in the field of pharmaceutical technology and nanotechnology and especially in the field of nano spray drying.
- Published
- 2021
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27. Performance-Based Screening of Porous Materials for Carbon Capture.
- Author
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Farmahini AH, Krishnamurthy S, Friedrich D, Brandani S, and Sarkisov L
- Abstract
Computational screening methods have changed the way new materials and processes are discovered and designed. For adsorption-based gas separations and carbon capture, recent efforts have been directed toward the development of multiscale and performance-based screening workflows where we can go from the atomistic structure of an adsorbent to its equilibrium and transport properties at different scales, and eventually to its separation performance at the process level. The objective of this work is to review the current status of this new approach, discuss its potential and impact on the field of materials screening, and highlight the challenges that limit its application. We compile and introduce all the elements required for the development, implementation, and operation of multiscale workflows, hence providing a useful practical guide and a comprehensive source of reference to the scientific communities who work in this area. Our review includes information about available materials databases, state-of-the-art molecular simulation and process modeling tools, and a complete catalogue of data and parameters that are required at each stage of the multiscale screening. We thoroughly discuss the challenges associated with data availability, consistency of the models, and reproducibility of the data and, finally, propose new directions for the future of the field.
- Published
- 2021
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28. Corrigendum to 'Desupersaturation of RO concentrate and gypsum removal via seeded precipitation in a fluidized bed crystallizer' [Water Research 190 (2021) 116766].
- Author
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Choi JY, Kaufmann F, Rahardianto A, and Cohen Y
- Published
- 2021
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29. Partial cycle operation of latent heat storage with finned tubes.
- Author
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Scharinger-Urschitz G, Schwarzmayr P, Walter H, and Haider M
- Abstract
This work examines a high temperature latent heat storage system, which could find use in future concentrated solar power and other combined heat and power plants. In contrast to lab-based fully charged or totally discharged states, partial load states will be the principal operation states in real-world applications. Hence, a closer look on the partial load states and the effective power rates are worthwhile for a successful implementation of this storage type. A vertical finned shell and tube heat exchanger pipe with a combination of transversal and longitudinal fins is applied. Sodium nitrate with a melting temperature of 306 ° C is used as phase change material and thermal oil serves as heat transfer fluid. Temperatures in the storage and the heat transfer fluid as well as the mass flow are measured for data analysis. The state of charge formulation is based on an enthalpy distribution function, where the latent heat of fusion is spread over a specific temperature range. The data show consistently high power rates for all partial load cycles at any state of charge. The mean power rate for charging is 6.78 kW with an 95.45 % confidence interval of ± 1.14 kW for all cycles. The discharging power rate is -5.72 kW with a 95.45 % confidence interval of ± 1.36 kW for all cycles. The lowest power rate is measured for the full cycle at the end of charging/discharging. It is caused by a narrow volume, which is not penetrated by fins, near the perimeter of the cylindrical heat exchanger. The state of charge formulation correlates with the storage capacity and enables state of charge based cycling. With the energy balance of the storage, the data validity is proven and further storage parameters are determined. The energy density is as high as 110 kW h m
-3 and a power rate of 2.28 kW m-1 for the finned tube is confirmed. These values are highly promising for further development and application of latent heat storage systems., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2020 The Authors.)- Published
- 2020
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30. CuSO 4 /[Cu(NH 3 ) 4 ]SO 4 -Composite Thermochemical Energy Storage Materials.
- Author
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Müller D, Knoll C, Gravogl G, Lager D, Welch JM, Eitenberger E, Friedbacher G, Werner A, Artner W, Harasek M, Miletich R, and Weinberger P
- Abstract
The thermochemical energy-storage material couple CuSO
4 /[Cu(NH3 )4 ]SO4 combines full reversibility, application in a medium temperature interval (<350 °C), and fast liberation of stored heat. During reaction with ammonia, a large change in the sulfate solid-state structure occurs, resulting in a 2.6-fold expansion of the bulk material due to NH3 uptake. In order to limit this volume work, as well as enhance the thermal conductivity of the solid material, several composites of anhydrous CuSO4 with inorganic inert support materials were prepared and characterized with regard to their energy storage density, reversibility of the storage reaction, thermal conductivity, and particle morphology. The best thermochemical energy storage properties were obtained for a 10:1 CuSO4 -sepiolite composite, combining an attractive energy storage density with slightly improved thermal conductivity and decreased bulk volume work compared to the pure salt.- Published
- 2020
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31. Micro/nanoscale magnetic robots for biomedical applications.
- Author
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Koleoso M, Feng X, Xue Y, Li Q, Munshi T, and Chen X
- Abstract
Magnetic small-scale robots are devices of great potential for the biomedical field because of the several benefits of this method of actuation. Recent work on the development of these devices has seen tremendous innovation and refinement toward improved performance for potential clinical applications. This review briefly details recent advancements in small-scale robots used for biomedical applications, covering their design, fabrication, applications, and demonstration of ability, and identifies the gap in studies and the difficulties that have persisted in the optimization of the use of these devices. In addition, alternative biomedical applications are also suggested for some of the technologies that show potential for other functions. This study concludes that although the field of small-scale robot research is highly innovative there is need for more concerted efforts to improve functionality and reliability of these devices particularly in clinical applications. Finally, further suggestions are made toward the achievement of commercialization for these devices., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2020 The Author(s).)
- Published
- 2020
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32. On the Use of a Single Beam Acoustic Current Profiler for Multi-Point Velocity Measurement in a Wave and Current Basin.
- Author
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Jourdain de Thieulloy M, Dorward M, Old C, Gabl R, Davey T, Ingram DM, and Sellar BG
- Abstract
Harnessing the energy of tidal currents has huge potential as a source of clean renewable energy. To do so in a reliable and cost effective way, it is critical to understand the interaction between tidal turbines, waves, and turbulent currents in the ocean. Scaled testing in a tank test provides a controlled, realistic, and highly reproducible down-scaled open ocean environment, and it is a key step in gaining this understanding. Knowledge of the hydrodynamic conditions during tests is critical and measurements at multiple locations are required to accurately characterise spatially varying flow in test tank facilities. The paper presents a laboratory technique using an acoustic velocimetry instrument, the range over-which measurements are acquired being more akin to open water applications. This enables almost simultaneous multi-point measurements of uni-directional velocity along a horizontal profile. Velocity measurements have been obtained from a horizontally mounted Single Beam Acoustic Doppler (SB-ADP) profiler deployed in the FloWave Ocean Energy Research Facility at the University of Edinburgh. These measurements have been statistically compared with point measurements obtained while using a co-located Acoustic Doppler Velocimeter (ADV). Measurements were made with both instruments under flow velocities varying from 0.6 ms
-1 to 1.2 ms-1 , showing that flow higher than 1 ms-1 was more suitable. Using a SB-ADP has shown the advantage of gaining 54 simultaneous measurement points of uni-directional velocity, covering a significant area with a total distance of 10 m of the test-tank, at a measurement frequency of 16 Hz. Of those measurement points, 41 were compared with co-located ADV measurements covering 8 m of the profile for a tank nominal flow velocity of 0.8 ms-1 , and four distributed locations were chosen to to carry out the study at 0.6 ms-1 , 1.0 ms-1 , and 1.2 ms-1 . The comparison with the ADV measurement showed a 2% relative bias on average.- Published
- 2020
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33. Development of a Sensor to Measure Physician Consultation Times.
- Author
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Gabl R and Stummer F
- Subjects
- Electronics instrumentation, Humans, Physicians, Time Factors, Electronics methods, Referral and Consultation
- Abstract
The duration of patient-physician contact is an important factor for the optimisation of treatment processes in healthcare systems. Available methods can be labour-intensive and the quality is, in many cases, poor. A part of this research project is to develop a sensor system, which allows the detection of people passing through a door, including the direction. For this purpose, two time of flight sensors are combined with a door sensor and a motion detection sensor (for redundancy) on one single side of the door frame. The period between two single measurements could be reduced to 50 ms, which allows the measurement of walking speed up to 2 ms - 1 . The accuracy of the time stamp for each event is less than one second and ensures a precise documentation of the consultation time. This paper presents the development of the sensor system, the miniaturisation of the installation and first measurement results, as well as the measurement's concept of quality analysis, including multiple door applications. In future steps, the sensor system will be deployed at different medical practices to determine the exact duration of the patient-physician interaction over a longer time period.
- Published
- 2019
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34. Comparing Fly Ash Samples from Different Types of Incinerators for Their Potential as Storage Materials for Thermochemical Energy and CO 2 .
- Author
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Setoodeh Jahromy S, Azam M, Huber F, Jordan C, Wesenauer F, Huber C, Naghdi S, Schwendtner K, Neuwirth E, Laminger T, Eder D, Werner A, Harasek M, and Winter F
- Abstract
This study aims to investigate the physical and chemical characterization of six fly ash samples obtained from different municipal solid waste incinerators (MSWIs), namely grate furnaces, rotary kiln, and fluidized bed reactor, to determine their potential for CO
2 and thermochemical energy storage (TCES). Representative samples were characterized via simultaneous thermal analysis (STA) in different atmospheres, i.e., N2 , air, H2 O, CO2 , and H2 O/CO2 , to identify fly ash samples that can meet the minimum requirements, i.e., charging, discharging, and cycling stability, for its consideration as TCES and CO2 -storage materials and to determine their energy contents. Furthermore, other techniques, such as inductively coupled plasma optical emission spectroscopy, X-ray fluorescence (XRF) spectrometry, X-ray diffraction (XRD), scanning electron microscopy, leachability tests, specific surface area measurement based on the Brunauer-Emmett-Teller method, and particle-size distribution measurement, were performed. XRF analysis showed that calcium oxide is one of the main components in fly ash, which is a potentially suitable component for TCES systems. XRD results revealed information regarding the crystal structure and phases of various elements, including that of Ca. The STA measurements showed that the samples can store thermal heat with energy contents of 50-394 kJ/kg (charging step). For one fly ash sample obtained from a grate furnace, the release of the stored thermal heat under the selected experimental conditions (discharging step) was demonstrated. The cycling stability tests were conducted thrice, and they were successful for the selected sample. One fly ash sample could store CO2 with a storage capacity of 27 kg CO2 /ton based on results obtained under the selected experimental conditions in STA. Samples from rotary kiln and fluidized bed were heated up to 1150 °C in an N2 atmosphere, resulting in complete melting of samples in crucibles; however, other samples obtained from grate furnaces formed compacted powders after undergoing the same thermal treatment in STA. Samples from different grate furnaces showed similarities in their chemical and physical characterization. The leachability test according to the standard (EN 12457-4 (2002)) using water in a ratio of 10 L/S and showed that the leachate of heavy metals is below the maximum permissible values for nonhazardous materials (except for Pb), excluding the fly ash sample obtained using fluidized bed technology. The leachate contents of Cd and Mn in the fly ash samples obtained from the rotary kiln were higher than those in other samples. Characterization performed herein helped in determining the suitable fly ash samples that can be considered as potential CO2 -storage and TCES materials.- Published
- 2019
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35. Environmental & load data: 1:15 Scale tidal turbine subject to a variety of regular wave conditions.
- Author
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Draycott S, Payne GS, Steynor J, Nambiar A, Sellar B, Davey T, Noble DR, and Venugopal V
- Abstract
Experimental data was obtained in order to investigate the effect of waves on the loads and performance of tidal turbines. An instrumented 1:15 scale tidal turbine was installed in the FloWave Ocean Energy Research Facility, and a wide range of regular wave conditions were generated; systematically varying both wave frequency and height. Waves were generated both following and opposing a fixed mean current velocity of 0.81 m/s. Data are made available of the measured turbine loads and environmental conditions obtained for five repeats of 24 wave conditions via https://doi.org/10.7488/ds/2472. A description of the data collection process, data processing, file structure and naming conventions are provided in this article. The analysis and presentation of the described dataset can be found in Ref. [1].
- Published
- 2019
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36. Modelling and testing of a wave energy converter based on dielectric elastomer generators.
- Author
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Moretti G, Rosati Papini GP, Daniele L, Forehand D, Ingram D, Vertechy R, and Fontana M
- Abstract
This paper introduces the analysis and design of a wave energy converter (WEC) that is equipped with a novel kind of electrostatic power take-off system, known as dielectric elastomer generator (DEG). We propose a modelling approach which relies on the combination of nonlinear potential-flow hydrodynamics and electro-hyperelastic theory. Such a model makes it possible to predict the system response in operational conditions, and thus it is employed to design and evaluate a DEG-based WEC that features an effective dynamic response. The model is validated through the design and test of a small-scale prototype, whose dynamics is tuned with waves at tank-scale using a set of scaling rules for the DEG dimensions introduced here in order to comply with Froude similarity laws. Wave-tank tests are conducted in regular and irregular waves with a functional DEG system that is controlled using a realistic prediction-free strategy. Remarkable average performance in realistically scaled sea states has been recorded during experiments, with peaks of power output of up to 3.8 W, corresponding to hundreds of kilowatts at full-scale. The obtained results demonstrated the concrete possibility of designing DEG-based WEC devices that are conceived for large-scale electrical energy production., Competing Interests: We have no competing interests.
- Published
- 2019
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37. Large-scale experiments into the tsunamigenic potential of different iceberg calving mechanisms.
- Author
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Heller V, Chen F, Brühl M, Gabl R, Chen X, Wolters G, and Fuchs H
- Abstract
Mass balance analysis of ice sheets is a key component to understand the effects of global warming. A significant component of ice sheet and shelf mass balance is iceberg calving, which can generate large tsunamis endangering human beings and coastal infrastructure. Such iceberg-tsunamis have reached amplitudes of 50 m and destroyed harbours. Calving icebergs interact with the surrounding water through different mechanisms and we investigate five; A: capsizing, B: gravity-dominated fall, C: buoyancy-dominated fall, D: gravity-dominated overturning and E: buoyancy-dominated overturning. Gravity-dominated icebergs essentially fall into the water body whereas buoyancy-dominated icebergs rise to the water surface. We find with unique large-scale laboratory experiments that iceberg-tsunami heights from gravity-dominated mechanisms (B and D) are roughly an order of magnitude larger than from A, C and E. A theoretical model for released iceberg energy supports this finding and the measured wave periods upscaled to Greenlandic outlet glaciers agree with field observations. Whilst existing empirical equations for landslide-tsunamis establish estimates of an upper envelope of the maximum iceberg-tsunami heights, they fail to capture the physics of most iceberg-tsunami mechanisms.
- Published
- 2019
- Full Text
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38. An LCA of the Pelamis wave energy converter.
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Thomson RC, Chick JP, and Harrison GP
- Abstract
Purpose: To date, very few studies have attempted to quantify the environmental impacts of a wave energy converter, and almost all of these focus solely on the potential climate change impacts and embodied energy. This paper presents a full life cycle assessment (LCA) of the first-generation Pelamis wave energy converter, aiming to contribute to the body of published studies and examine any potential trade-offs or co-benefits across a broad range of environmental impacts., Methods: The process-based attributional LCA was carried out on the full cradle-to-grave life cycle of the Pelamis P1 wave energy converter, including the device, its moorings and sub-sea connecting cable up to the point of connection with the grid. The case study was for a typical wave farm located off the north-west coast of Scotland. Foreground data was mostly sourced from the manufacturer. Background inventory data was mostly sourced from the ecoinvent database (v3.3), and the ReCiPe and CED impact assessment methods were applied., Results and Discussion: The Pelamis was found to have significantly lower environmental impacts than conventional fossil generation in 6 impact categories, but performed worse than most other types of generation in 8 of the remaining 13 categories studied. The greatest impacts were from steel manufacture and sea vessel operations. The device performs quite well in the two most frequently assessed impacts for renewable energy converters: climate change and cumulative energy demand. The carbon payback period is estimated to be around 24 months (depending on the emissions intensity of the displaced generation mix), and the energy return on investment is 7.5. The contrast between this and the poor performance in other impact categories demonstrates the limitations of focussing only on carbon and energy., Conclusions: The Pelamis was found to generally have relatively high environmental impacts across many impact categories when compared to other types of power generation; however, these are mostly attributable to the current reliance on fossil fuels in the global economy and the early development stage of the technology. Opportunities to reduce this also lie in reducing requirements for steel in the device structure, and decreasing the requirements for sea vessel operations during installation, maintenance and decommissioning.
- Published
- 2019
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39. Cycle Stability and Hydration Behavior of Magnesium Oxide and Its Dependence on the Precursor-Related Particle Morphology.
- Author
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Gravogl G, Knoll C, Welch JM, Artner W, Freiberger N, Nilica R, Eitenberger E, Friedbacher G, Harasek M, Werner A, Hradil K, Peterlik H, Weinberger P, Müller D, and Miletich R
- Abstract
Thermochemical energy storage is considered as an auspicious method for the recycling of medium-temperature waste heat. The reaction couple Mg(OH)₂⁻MgO is intensely investigated for this purpose, suffering so far from limited cycle stability. To overcome this issue, Mg(OH)₂, MgCO₃, and MgC₂O₄·2H₂O were compared as precursor materials for MgO production. Depending on the precursor, the particle morphology of the resulting MgO changes, resulting in different hydration behavior and cycle stability. Agglomeration of the material during cyclization was identified as main reason for the decreased reactivity. Immersion of the spent material in liquid H₂O decomposes the agglomerates restoring the initial reactivity of the material, thus serving as a regeneration step.
- Published
- 2018
- Full Text
- View/download PDF
40. A separated vortex ring underlies the flight of the dandelion.
- Author
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Cummins C, Seale M, Macente A, Certini D, Mastropaolo E, Viola IM, and Nakayama N
- Subjects
- Motion, Porosity, Seed Dispersal, Seeds anatomy & histology, Seeds physiology, Taraxacum anatomy & histology, Taraxacum physiology, Wind
- Abstract
Wind-dispersed plants have evolved ingenious ways to lift their seeds
1,2 . The common dandelion uses a bundle of drag-enhancing bristles (the pappus) that helps to keep their seeds aloft. This passive flight mechanism is highly effective, enabling seed dispersal over formidable distances3,4 ; however, the physics underpinning pappus-mediated flight remains unresolved. Here we visualized the flow around dandelion seeds, uncovering an extraordinary type of vortex. This vortex is a ring of recirculating fluid, which is detached owing to the flow passing through the pappus. We hypothesized that the circular disk-like geometry and the porosity of the pappus are the key design features that enable the formation of the separated vortex ring. The porosity gradient was surveyed using microfabricated disks, and a disk with a similar porosity was found to be able to recapitulate the flow behaviour of the pappus. The porosity of the dandelion pappus appears to be tuned precisely to stabilize the vortex, while maximizing aerodynamic loading and minimizing material requirements. The discovery of the separated vortex ring provides evidence of the existence of a new class of fluid behaviour around fluid-immersed bodies that may underlie locomotion, weight reduction and particle retention in biological and manmade structures.- Published
- 2018
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41. Nano spray drying for encapsulation of pharmaceuticals.
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Arpagaus C, Collenberg A, Rütti D, Assadpour E, and Jafari SM
- Subjects
- Animals, Biological Availability, Humans, Nanoparticles administration & dosage, Pharmaceutical Preparations administration & dosage, Pharmacokinetics, Desiccation, Drug Compounding methods, Drug Delivery Systems, Nanoparticles chemistry, Pharmaceutical Preparations chemistry
- Abstract
Many pharmaceuticals such as pills, capsules, or tablets are prepared in a dried and powdered form. In this field, spray drying plays a critical role to convert liquid pharmaceutical formulations into powders. In addition, in many cases it is necessary to encapsulate bioactive drugs into wall materials to protect them against harsh process and environmental conditions, as well as to deliver the drug to the right place and at the correct time within the body. Thus, spray drying is a common process used for encapsulation of pharmaceuticals. In view of the rapid progress of nanoencapsulation techniques in pharmaceutics, nano spray drying is used to improve drug formulation and delivery. The nano spray dryer developed in the recent years provides ultrafine powders at nanoscale and high product yields. In this paper, after explaining the concept of nano spray drying and understanding the key elements of the equipment, the influence of the process parameters on the final powders properties, like particle size, morphology, encapsulation efficiency, drug loading and release, will be discussed. Then, numerous application examples are reviewed for nano spray drying and encapsulation of various drugs in the early stages of product development along with a brief overview of the obtained results and characterization techniques., (Copyright © 2018 Elsevier B.V. All rights reserved.)
- Published
- 2018
- Full Text
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42. Design principles of hair-like structures as biological machines.
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Seale M, Cummins C, Viola IM, Mastropaolo E, and Nakayama N
- Subjects
- Arabidopsis physiology, Arabidopsis ultrastructure, Biomimetic Materials, Biomimetics methods, Mechanoreceptors physiology, Mechanoreceptors ultrastructure, Models, Biological, Trichomes physiology, Trichomes ultrastructure
- Abstract
Hair-like structures are prevalent throughout biology and frequently act to sense or alter interactions with an organism's environment. The overall shape of a hair is simple: a long, filamentous object that protrudes from the surface of an organism. This basic design, however, can confer a wide range of functions, owing largely to the flexibility and large surface area that it usually possesses. From this simple structural basis, small changes in geometry, such as diameter, curvature and inter-hair spacing, can have considerable effects on mechanical properties, allowing functions such as mechanosensing, attachment, movement and protection. Here, we explore how passive features of hair-like structures, both individually and within arrays, enable diverse functions across biology. Understanding the relationships between form and function can provide biologists with an appreciation for the constraints and possibilities on hair-like structures. Additionally, such structures have already been used in biomimetic engineering with applications in sensing, water capture and adhesion. By examining hairs as a functional mechanical unit, geometry and arrangement can be rationally designed to generate new engineering devices and ideas., (© 2018 The Authors.)
- Published
- 2018
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43. Quasi-two-layer morphodynamic model for bedload-dominated problems: bed slope-induced morphological diffusion.
- Author
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Maldonado S and Borthwick AGL
- Abstract
We derive a two-layer depth-averaged model of sediment transport and morphological evolution for application to bedload-dominated problems. The near-bed transport region is represented by the lower (bedload) layer which has an arbitrarily constant, vanishing thickness (of approx. 10 times the sediment particle diameter), and whose average sediment concentration is free to vary. Sediment is allowed to enter the upper layer, and hence the total load may also be simulated, provided that concentrations of suspended sediment remain low. The model conforms with established theories of bedload, and is validated satisfactorily against empirical expressions for sediment transport rates and the morphodynamic experiment of a migrating mining pit by Lee et al. (1993 J. Hydraul. Eng. , 64-80 (doi:10.1061/(ASCE)0733-9429(1993)119:1(64))). Investigation into the effect of a local bed gradient on bedload leads to derivation of an analytical, physically meaningful expression for morphological diffusion induced by a non-zero local bed slope. Incorporation of the proposed morphological diffusion into a conventional morphodynamic model (defined as a coupling between the shallow water equations, Exner equation and an empirical formula for bedload) improves model predictions when applied to the evolution of a mining pit, without the need either to resort to special numerical treatment of the equations or to use additional tuning parameters.119 , 64-80 (doi:10.1061/(ASCE)0733-9429(1993)119:1(64))). Investigation into the effect of a local bed gradient on bedload leads to derivation of an analytical, physically meaningful expression for morphological diffusion induced by a non-zero local bed slope. Incorporation of the proposed morphological diffusion into a conventional morphodynamic model (defined as a coupling between the shallow water equations, Exner equation and an empirical formula for bedload) improves model predictions when applied to the evolution of a mining pit, without the need either to resort to special numerical treatment of the equations or to use additional tuning parameters., Competing Interests: We declare we have no competing interests.
- Published
- 2018
- Full Text
- View/download PDF
44. Dissolved methane in the influent of three Australian wastewater treatment plants fed by gravity sewers.
- Author
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Short MD, Daikeler A, Wallis K, Peirson WL, and Peters GM
- Subjects
- Australia, Methane analysis, Sewage chemistry, Wastewater chemistry
- Abstract
Methane (CH
4 ) is an important anthropogenic greenhouse gas and a by-product of urban sewage management. In recent years and contrary to international (IPCC) consensus, pressurised (anaerobic) sewers were identified as important CH4 sources, yet relatively little remains known regarding the role of gravity sewers in CH4 production and conveyance. Here we provide the results of a nine month study assessing dissolved CH4 levels in the raw influent of three large Australian wastewater treatment plants (WWTPs) fed by gravity sewers. Similar to recent international research and contrary to IPCC guidance, results show that gravity sewered wastewater contains moderate levels of CH4 (≈1mgL-1 ). Dissolved CH4 concentration correlated negatively with daily sewage flow rate (i.e. inversely proportional to sewer hydraulic residence time), with daily CH4 mass loads on average some two-fold greater under low flow (dry weather) conditions. Along with sewage hydraulic residence time, sewer sediments are thought to interact with sewage flow rate and are considered to play a key role in gravity sewer CH4 production. A per capita load of 78gCH4 person-1 y-1 is offered for gravity sewered wastewater entering WWTPs, with a corresponding emission estimate of up to 62gCH4 person-1 y-1 , assuming 80% water-to-air transfer of inflowing CH4 in WWTPs with combined preliminary-primary plus secondary treatment. Results here support the emerging consensus view that hydraulic operation (i.e. gravity versus pressurised, sewage flow rate) is a key factor in determining sewer CH4 production, with gravity sewer segments likely to play a dominant role in total CH4 production potential for large metropolitan sewer networks. Further work is warranted to assess the scale and temporal dynamics of CH4 production in gravity sewers elsewhere, with more work needed to adequately capture and assess the scale of diffuse sewer network CH4 emissions from sprawling urban settlements globally., (Copyright © 2017 Elsevier B.V. All rights reserved.)- Published
- 2017
- Full Text
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45. The leading-edge vortex of swift wing-shaped delta wings.
- Author
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Muir RE, Arredondo-Galeana A, and Viola IM
- Abstract
Recent investigations on the aerodynamics of natural fliers have illuminated the significance of the leading-edge vortex (LEV) for lift generation in a variety of flight conditions. A well-documented example of an LEV is that generated by aircraft with highly swept, delta-shaped wings. While the wing aerodynamics of a manoeuvring aircraft, a bird gliding and a bird in flapping flight vary significantly, it is believed that this existing knowledge can serve to add understanding to the complex aerodynamics of natural fliers. In this investigation, a model non-slender delta-shaped wing with a sharp leading edge is tested at low Reynolds number, along with a delta wing of the same design, but with a modified trailing edge inspired by the wing of a common swift Apus apus . The effect of the tapering swift wing on LEV development and stability is compared with the flow structure over the unmodified delta wing model through particle image velocimetry. For the first time, a leading-edge vortex system consisting of a dual or triple LEV is recorded on a swift wing-shaped delta wing, where such a system is found across all tested conditions. It is shown that the spanwise location of LEV breakdown is governed by the local chord rather than Reynolds number or angle of attack. These findings suggest that the trailing-edge geometry of the swift wing alone does not prevent the common swift from generating an LEV system comparable with that of a delta-shaped wing., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
- Published
- 2017
- Full Text
- View/download PDF
46. Wave directional spreading from point field measurements.
- Author
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McAllister ML, Venugopal V, and Borthwick AGL
- Abstract
Ocean waves have multidirectional components. Most wave measurements are taken at a single point, and so fail to capture information about the relative directions of the wave components directly. Conventional means of directional estimation require a minimum of three concurrent time series of measurements at different spatial locations in order to derive information on local directional wave spreading. Here, the relationship between wave nonlinearity and directionality is utilized to estimate local spreading without the need for multiple concurrent measurements, following Adcock & Taylor (Adcock & Taylor 2009 Proc. R. Soc. A 465 , 3361-3381. (doi:10.1098/rspa.2009.0031)), with the assumption that directional spreading is frequency independent. The method is applied to measurements recorded at the North Alwyn platform in the northern North Sea, and the results compared against estimates of wave spreading by conventional measurement methods and hindcast data. Records containing freak waves were excluded. It is found that the method provides accurate estimates of wave spreading over a range of conditions experienced at North Alwyn, despite the noisy chaotic signals that characterize such ocean wave data. The results provide further confirmation that Adcock and Taylor's method is applicable to metocean data and has considerable future promise as a technique to recover estimates of wave spreading from single point wave measurement devices., Competing Interests: We declare we have no competing interests.
- Published
- 2017
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47. Flow through a very porous obstacle in a shallow channel.
- Author
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Creed MJ, Draper S, Nishino T, and Borthwick AGL
- Abstract
A theoretical model, informed by numerical simulations based on the shallow water equations, is developed to predict the flow passing through and around a uniform porous obstacle in a shallow channel, where background friction is important. This problem is relevant to a number of practical situations, including flow through aquatic vegetation, the performance of arrays of turbines in tidal channels and hydrodynamic forces on offshore structures. To demonstrate this relevance, the theoretical model is used to (i) reinterpret core flow velocities in existing laboratory-based data for an array of emergent cylinders in shallow water emulating aquatic vegetation and (ii) reassess the optimum arrangement of tidal turbines to generate power in a tidal channel. Comparison with laboratory-based data indicates a maximum obstacle resistance (or minimum porosity) for which the present theoretical model is valid. When the obstacle resistance is above this threshold the shallow water equations do not provide an adequate representation of the flow, and the theoretical model over-predicts the core flow passing through the obstacle. The second application of the model confirms that natural bed resistance increases the power extraction potential for a partial tidal fence in a shallow channel and alters the optimum arrangement of turbines within the fence., Competing Interests: We have no competing interests.
- Published
- 2017
- Full Text
- View/download PDF
48. A solid oxide photoelectrochemical cell with UV light-driven oxygen storage in mixed conducting electrodes.
- Author
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Walch G, Rotter B, Brunauer GC, Esmaeili E, Opitz AK, Kubicek M, Summhammer J, Ponweiser K, and Fleig J
- Abstract
A single crystalline SrTiO
3 working electrode in a zirconia-based solid oxide electrochemical cell is illuminated by UV light at temperatures of 360-460 °C. In addition to photovoltaic effects, this leads to the build-up of a battery-type voltage up to more than 300 mV. After switching off UV light, this voltage only slowly decays. It is caused by UV-induced oxygen incorporation into the mixed conducting working electrode and thus by changes of the oxygen stoichiometry δ in SrTiO3- δ under UV illumination. These changes of the oxygen content could be followed in time-dependent voltage measurements and also manifest themselves in time-dependent resistance changes during and after UV illumination. Discharge currents measured after UV illumination reveal that a large fraction of the existing oxygen vacancies in SrTiO3 become filled under UV light. Additional measurements on cells with TiO2 thin film electrodes show the broader applicability of this novel approach for transforming light into chemical energy and thus the feasibility of solid oxide photoelectrochemical cells (SOPECs) in general and of a "light-charged oxygen battery" in particular.- Published
- 2017
- Full Text
- View/download PDF
49. A Novel Application for Low Frequency Electrochemical Impedance Spectroscopy as an Online Process Monitoring Tool for Viable Cell Concentrations.
- Author
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Slouka C, Wurm DJ, Brunauer G, Welzl-Wachter A, Spadiut O, Fleig J, and Herwig C
- Subjects
- Biomass, Bioreactors microbiology, Escherichia coli metabolism, Fermentation genetics, Fermentation physiology, Spectrometry, Mass, Electrospray Ionization, Dielectric Spectroscopy methods
- Abstract
New approaches in process monitoring during industrial fermentations are not only limited to classical pH, dO₂ and offgas analysis, but use different in situ and online sensors based on different physical principles to determine biomass, product quality, lysis and far more. One of the very important approaches is the in situ accessibility of viable cell concentration (VCC). This knowledge provides increased efficiency in monitoring and controlling strategies during cultivations. Electrochemical impedance spectroscopy-EIS-is used to monitor biomass in a fermentation of E. coli BL21(DE3), producing a recombinant protein using a fed batch-based approach. Increases in the double layer capacitance (C
dl ), determined at frequencies below 1 kHz, are proportional to the increase of biomass in the batch and fed batch phase, monitored in offline and online modes for different cultivations. A good correlation of Cdl with cell density is found and in order to get an appropriate verification of this method, different state-of-the-art biomass measurements are performed and compared. Since measurements in this frequency range are largely determined by the double layer region between the electrode and media, rather minor interferences with process parameters (aeration, stirring) are to be expected. It is shown that impedance spectroscopy at low frequencies is a powerful tool for cultivation monitoring., Competing Interests: The authors declare no conflict of interest.- Published
- 2016
- Full Text
- View/download PDF
50. Nab-paclitaxel as alternative treatment regimen in advanced cholangiocellular carcinoma.
- Author
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Unseld M, Scheithauer W, Weigl R, Kornek G, Stranzl N, Bianconi D, Brunauer G, Steger G, Zielinski CC, and Prager GW
- Abstract
Background: Advanced cholangiocellular carcinoma has a poor prognosis with limited therapeutic options. Nab-paclitaxel has recently been described to be beneficial in metastatic pancreatic cancer improving overall and progression free survival (PFS). The potential antitumor activity of nab-paclitaxel in cholangiocellular carcinoma is hitherto unknown., Methods: We retrospectively analyzed an institutional cholangiocellular carcinoma registry to determine the potential biological activity of nab-paclitaxel in advanced intrahepatic cholangiocellular carcinoma. Disease control rate (DCR), PFS and overall survival (OS) upon nab-paclitaxel based treatment, after failure of platinum-containing first-line combination chemotherapy, was assessed., Results: Twelve patients were identified. Five of 12 patients (42%) received nab-paclitaxel as second line, and 7 patients (56%) as third-line treatment. The objective DCR with nab-paclitaxel was 83% (10/12 patients). One patient had a complete remission (CR), two patients had a partial remission (PR) and 7 patients had stable disease (SD). Disease was rated progressive in two patients. In all 12 patients receiving nab-paclitaxel the median time to progression was 6 months (range, 2.1-19.5 months). Median OS after initiation of nab-paclitaxel treatment was 9 months (2.1-28.4 months). The median time of survival after diagnosis of advanced disease was 21.5 months, whereby 3 patients were alive at the date of censoring (04/01/2015)., Conclusions: This is the first report suggesting substantial antitumor activity of nab-paclitaxel in advanced cholangiocellular carcinoma. In this small series, nab-paclitaxel based salvage chemotherapy appears to have a biological activity by controlling the disease and positively affecting survival. Randomized trials in this disease entity and subgroup of patients are urged.
- Published
- 2016
- Full Text
- View/download PDF
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