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Escott-Price, Valentina ; Bellenguez, Céline ; Wang, Li-San ; Choi, Seung-Hoan ; Harold, Denise ; Jones, Lesley ; Holmans, Peter ; Gerrish, Amy ; Vedernikov, Alexey ; Richards, Alexander ; DeStefano, Anita L. ; Lambert, Jean-Charles ; Ibrahim-Verbaas, Carla A. ; Naj, Adam C. ; Sims, Rebecca ; Jun, Gyungah ; Bis, Joshua C. ; Beecham, Gary W. ; Grenier-Boley, Benjamin ; Russo, Giancarlo ; Thornton-Wells, Tricia A. ; Denning, Nicola ; Smith, Albert V. ; Chouraki, Vincent ; Thomas, Charlene ; Ikram, M. Arfan ; Zelenika, Diana ; Vardarajan, Badri N. ; Kamatani, Yoichiro ; Lin, Chiao-Feng ; Schmidt, Helena ; Kunkle, Brian ; Dunstan, Melanie L. ; Vronskaya, Maria ; Johnson, Andrew D. ; Ruiz, Agustin ; Bihoreau, Marie-Thérèse ; Reitz, Christiane ; Pasquier, Florence ; Hollingworth, Paul ; Hanon, Olivier ; Fitzpatrick, Annette L. ; Buxbaum, Joseph D. ; Campion, Dominique ; Crane, Paul K. ; Baldwin, Clinton ; Becker, Tim ; Gudnason, Vilmundur ; Cruchaga, Carlos ; Craig, David ; Amin, Najaf ; Berr, Claudine ; Lopez, Oscar L. ; Jager, Philip L. De ; Deramecourt, Vincent ; Johnston, Janet A. ; Evans, Denis ; Lovestone, Simon ; Letenneur, Luc ; Hernández, Isabel ; Rubinsztein, David C. ; Eiriksdottir, Gudny ; Sleegers, Kristel ; Goate, Alison M. ; Fiévet, Nathalie ; Huentelman, Matthew J. ; Gill, Michael ; Brown, Kristelle ; Kamboh, M. Ilyas ; Keller, Lina ; Barberger-Gateau, Pascale ; McGuinness, Bernadette ; Larson, Eric B. ; Myers, Amanda J. ; Dufouil, Carole ; Todd, Stephen ; Wallon, David ; Love, Seth ; Rogaeva, Ekaterina ; Gallacher, John ; St George-Hyslop, Peter ; Clarimon, Jordi ; Lleo, Alberto ; Bayer, Anthony ; Tsuang, Debby W. ; Yu, Lei ; Tsolaki, Magda ; Bossù, Paola ; Spalletta, Gianfranco ; Proitsi, Petra ; Collinge, John ; Sorbi, Sandro ; Sanchez Garcia, Florentino ; Fox, Nick C. ; Hardy, John ; Deniz Naranjo, Maria Candida ; Bosco, Paolo ; Clarke, Robert ; Brayne, Carol ; Galimberti, Daniela ; Scarpini, Elio ; Bonuccelli, Ubaldo ; Mancuso, Michelangelo ; Siciliano, Gabriele ; Moebus, Susanne ; Mecocci, Patrizia ; Del Zompo, Maria ; Maier, Wolfgang ; Hampel, Harald ; Pilotto, Alberto ; Frank-García, Ana ; Panza, Francesco ; Solfrizzi, Vincenzo ; Caffarra, Paolo ; Nacmias, Benedetta ; Perry, William ; Mayhaus, Manuel ; Lannfelt, Lars ; Hakonarson, Hakon ; Pichler, Sabrina ; Carrasquillo, Minerva M. ; Ingelsson, Martin ; Beekly, Duane ; Alvarez, Victoria ; Zou, Fanggeng ; Valladares, Otto ; Younkin, Steven G. ; Coto, Eliecer ; Hamilton-Nelson, Kara L. ; Gu, Wei ; Razquin, Cristina ; Pastor, Pau ; Mateo, Ignacio ; Owen, Michael J. ; Faber, Kelley M. ; Jonsson, Palmi V. ; Combarros, Onofre ; O'Donovan, Michael C. ; Cantwell, Laura B. ; Soininen, Hilkka ; Blacker, Deborah ; Mead, Simon ; Mosley, Thomas H. ; Bennett, David A. ; Harris, Tamara B. ; Fratiglioni, Laura ; Holmes, Clive ; Bruijn, Renee F. A. G. de ; Passmore, Peter ; Montine, Thomas J. ; Bettens, Karolien ; Rotter, Jerome I. ; Brice, Alexis ; Morgan, Kevin ; Foroud, Tatiana M. ; Kukull, Walter A. ; Hannequin, Didier ; Powell, John F. ; Nalls, Michael A. ; Ritchie, Karen ; Lunetta, Kathryn L. ; Kauwe, John S. K. ; Boerwinkle, Eric ; Riemenschneider, Matthias ; Boada, Mercè ; Hiltunen, Mikko ; Martin, Eden R. ; Schmidt, Reinhold ; Rujescu, Dan ; Dartigues, Jean-François ; Mayeux, Richard ; Tzourio, Christophe ; Hofman, Albert ; Nöthen, Markus Maria ; Graff, Caroline ; Psaty, Bruce M. ; Haines, Jonathan L. ; Lathrop, Mark ; Pericak-Vance, Margaret Ann ; Launer, Lenore J. ; Broeckhoven, Christine Van ; Farrer, Lindsay A. ; Duijn, Cornelia M. van ; Ramirez, Alfredo ; Seshadri, Sudha ; Schellenberg, Gerard D. ; Amouyel, Philippe ; Williams, Julie
Background: Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls.
Principal findings: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4×10−6) and 14 (IGHV1-67 p = 7.9×10−8) which indexed novel susceptibility loci.
Significance: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.
Agostinelli, S. ; Allison, J. ; Amako, K. ; Apostolakis, J. ; Araujo, H. ; Arce, P. ; Asai, M. ; Axen, D. ; Banerjee, S. ; Barrand, G. ; Behner, F. ; Bellagamba, L. ; Boudreau, J. ; Broglia, L. ; Brunengo, A. ; Burkhardt, H. ; Chauvie, S. ; Chuma, J. ; Chytracek, R. ; Cooperman, G. ; Cosmo, G. ; Degtyarenko, P. ; Dell’Acqua, A. ; Depaola, G. ; Dietrich, D. ; Enami, R. ; Feliciello, Alessandro ; Ferguson, C. ; Fesefeldt, H. ; Folger, G. ; Foppiano, F. ; Forti, A. ; Garelli, S. ; Giani, S. ; Giannitrapani, R. ; Gibin, D. ; Gómez Cadenas, J.J. ; González, I. ; Gracia Abril, G. ; Greeniaus, G. ; Greiner, Walter ; Grichine, V. ; Grossheim, A. ; Guatelli, S. ; Gumplinger, P. ; Hamatsu, R. ; Hashimoto, K. ; Hasui, H. ; Heikkinen, A. ; Howard, A. ; Ivanchenko, V. ; Johnson, A. ; Jones, F.W. ; Kallenbach, J. ; Kanaya, N. ; Kawabata, M. ; Kawabata, Y. ; Kawaguti, M. ; Kelner, S. ; Kent, P. ; Kimura, Atsushi ; Kodama, Takeshi ; Kokoulin, R. ; Kossov, M. ; Kurashige, H. ; Lamanna, E. ; Lampén, T. ; Lara, V. ; Lefebure, V. ; Lei, F. ; Liendl, M. ; Lockman, W. ; Longo, F. ; Magni, S. ; Maire, M. ; Medernach, E. ; Minamimoto, K. ; Mora de Freitas, P. ; Morita, Y. ; Murakami, K. ; Nagamatu, M. ; Nartallo, R. ; Nieminen, P. ; Nishimura, T. ; Ohtsubo, K. ; Okamura, M. ; O’Neale, S. ; Oohata, Y. ; Paech, K. ; Perl, J. ; Pfeiffer, Andreas ; Pia, M.G. ; Ranjard, F. ; Rybin, A. ; Sadilov, S. ; Di Salvo, E. ; Santin, G. ; Sasaki, T. ; Savvas, N. ; Sawada, Y. ; Scherer, Stefan ; Sei, S. ; Sirotenko, V. ; Smith, D. ; Starkov, N. ; Stöcker, Horst ; Sulkimo, J. ; Takahata, M. ; Tanaka, S. ; Tcherniaev, E. ; Safai Tehrani, E. ; Tropeano, M. ; Truscott, P. ; Uno, H. ; Urban, L. ; Urban, P. ; Verderi, M. ; Walkden, A. ; Wander, W. ; Weber, H. ; Wellisch, J.P. ; Wenaus, T. ; Williams, D.C. ; Wright, D. ; Yamada, T. ; Yoshida, H. ; Zschiesche, D.
Abstract Geant4 is a toolkit for simulating the passage of particles through matter. It includes a complete range of functionality including tracking, geometry, physics models and hits. The physics processes offered cover a comprehensive range, including electromagnetic, hadronic and optical processes, a large set of long-lived particles, materials and elements, over a wide energy range starting, in some cases, from 250 eV and extending in others to the TeV energy range. It has been designed and constructed to expose the physics models utilised, to handle complex geometries, and to enable its easy adaptation for optimal use in different sets of applications. The toolkit is the result of a worldwide collaboration of physicists and software engineers. It has been created exploiting software engineering and object-oriented technology and implemented in the C++ programming language. It has been used in applications in particle physics, nuclear physics, accelerator design, space engineering and medical physics. PACS: 07.05.Tp; 13; 23
A revised and updated literature-based checklist of Hawaiian mosses is presented. Geographic coverage includes the eight main Hawaiian Islands; the Northwestern Hawaiian Islands are excluded. The checklist is alphabetically ordered by scientific names; the family is noted for each genus. Synonyms and misapplied names are cross-referenced to the accepted names. A bibliography of supporting references is included.
Anney, Richard ; Klei, Lambertus ; Pinto, Dalila ; Almeida, Joana ; Bacchelli, Elena ; Baird, Gillian ; Bolshakova, Nadia ; Bölte, Sven ; Bolton, Patrick F. ; Bourgeron, Thomas ; Brennan, Sean ; Brian, Jessica ; Casey, Jillian ; Conroy, Judith ; Correia, Catarina ; Corsello, Christina ; Crawford, Emily L. ; Jonge, Maretha de ; Delorme, Richard ; Duketis, Eftichia ; Duque, Frederico ; Estes, Annette ; Farrar, Penny ; Fernandez, Bridget A. ; Folstein, Susan E. ; Fombonne, Eric ; Gilbert, John ; Gillberg, Christopher ; Glessner, Joseph T. ; Green, Andrew ; Green, Jonathan ; Guter, Stephen J. ; Heron, Elizabeth A. ; Holt, Richard ; Howe, Jennifer L. ; Hughes, Gillian ; Hus, Vanessa ; Igliozzi, Roberta ; Jacob, Suma ; Kenny, Graham P. ; Kim, Cecilia ; Kolevzon, Alexander ; Kustanovich, Vlad ; Lajonchere, Clara M. ; Lamb, Janine A. ; Law-Smith, Miriam ; Leboyer, Marion ; Le Couteur, Ann ; Leventhal, Bennett L. ; Liu, Xiao-Qing ; Lombard, Frances ; Lord, Catherine ; Lotspeich, Linda ; Lotspeich, Linda ; Lund, Sabata C. ; Magalhães, Tiago R. ; Mantoulan, Carine ; McDougle, Christopher J. ; Melhem, Nadine M. ; Merikangas, Alison ; Minshew, Nancy J. ; Mirza, Ghazala K. ; Munson, Jeff ; Noakes, Carolyn ; Nygren, Gudrun ; Papanikolaou, Katerina ; Pagnamenta, Alistair T. ; Parrini, Barbara ; Paton, Tara ; Paton, Tara ; Pickles, Andrew ; Posey, David J. ; Poustka, Fritz ; Ragoussis, Jiannis ; Regan, Regina ; Roberts, Wendy ; Roeder, Kathryn ; Roge, Bernadette ; Rutter, Michael L. ; Schlitt, Sabine ; Shah, Naisha ; Sheffield, Val C. ; Soorya, Latha ; Sousa, Inês ; Stoppioni, Vera ; Sykes, Nuala ; Tancredi, Raffaella ; Thompson, Ann P. ; Thomson, Susanne ; Tryfon, Ana ; Tsiantis, John ; Engeland, Herman van ; Vincent, John B. ; Volkmar, Fred ; Vorstman, JAS ; Wallace, Simon ; Wing, Kirsty ; Wittemeyer, Kerstin ; Wood, Shawn ; Zurawiecki, Danielle ; Zwaigenbaum, Lonnie ; Bailey, Anthony J. ; Battaglia, Agatino ; Cantor, Rita M. ; Coon, Hilary ; Cuccaro, Michael L. ; Dawson, Geraldine ; Ennis, Sean ; Freitag, Christine M. ; Geschwind, Daniel H. ; Haines, Jonathan L. ; Klauck, Sabine M. ; McMahon, William M. ; Maestrini, Elena ; Miller, Judith ; Monaco, Anthony P. ; Nelson, Stanley F. ; Nurnberger, John I. ; Oliveira, Guiomar ; Parr, Jeremy R. ; Pericak-Vance, Margaret Ann ; Piven, Joseph ; Schellenberg, Gerard D. ; Scherer, Stephen W. ; Vicente, Astrid M. ; Wassink, Thomas H. ; Wijsman, Ellen M. ; Betancur, Catalina ; Buxbaum, Joseph D. ; Cook, Edwin H. ; Gallagher, Louise ; Gill, Michael ; Hallmayer, Joachim ; Paterson, Andrew D. ; Sutcliffe, James S. ; Szatmari, Peter ; Vieland, Veronica J. ; Hakonarson, Hakon ; Devlin, Bernie
While it is apparent that rare variation can play an important role in the genetic architecture of autism spectrum disorders (ASDs), the contribution of common variation to the risk of developing ASD is less clear. To produce a more comprehensive picture, we report Stage 2 of the Autism Genome Project genome-wide association study, adding 1301 ASD families and bringing the total to 2705 families analysed (Stages 1 and 2). In addition to evaluating the association of individual single nucleotide polymorphisms (SNPs), we also sought evidence that common variants, en masse, might affect the risk. Despite genotyping over a million SNPs covering the genome, no single SNP shows significant association with ASD or selected phenotypes at a genome-wide level. The SNP that achieves the smallest P-value from secondary analyses is rs1718101. It falls in CNTNAP2, a gene previously implicated in susceptibility for ASD. This SNP also shows modest association with age of word/phrase acquisition in ASD subjects, of interest because features of language development are also associated with other variation in CNTNAP2. In contrast, allele scores derived from the transmission of common alleles to Stage 1 cases significantly predict case status in the independent Stage 2 sample. Despite being significant, the variance explained by these allele scores was small (Vm< 1%). Based on results from individual SNPs and their en masse effect on risk, as inferred from the allele score results, it is reasonable to conclude that common variants affect the risk for ASD but their individual effects are modest.
Ovseiko, Pavel V. ; Greenhalgh, Trisha ; Adam, Paula ; Grant, Jonathan ; Hinrichs-Krapels, Saba ; Graham, Kathryn E. ; Valentine, Pamela A. ; Sued, Omar ; Boukhris, Omar F. ; Al Olaqi, Nada M. ; Al Rahbi, Idrees S. ; Dowd, Anne-Maree ; Bice, Sara ; Heiden, Tamika L. ; Fischer, Michael D. ; Dopson, Sue ; Norton, Robyn ; Pollitt, Alexandra ; Wooding, Steven ; Balling, Gert V. ; Jakobsen, Ulla ; Kuhlmann, Ellen ; Klinge, Ineke ; Pololi, Linda H. ; Jagsi, Reshma ; Lawton Smith, Helen ; Etzkowitz, Henry ; Nielsen, Mathias W. ; Carrion, Carme ; Solans‐Domènech, Maite ; Vizcaino, Esther ; Naing, Lin ; Cheok, Quentin H. N. ; Eckelmann, Baerbel ; Simuyemba, Moses C. ; Msiska, Temwa ; Declich, Giovanna ; Edmunds, Laurel D. ; Kiparoglou, Vasiliki ; Buchan, Alison M. J. ; Williamson, Catherine ; Lord, Graham M. ; Channon, Keith M. ; Surender, Rebecca ; Buchan, Alastair M.
Global investment in biomedical research has grown significantly over the last decades, reaching approximately a quarter of a trillion US dollars in 2010. However, not all of this investment is distributed evenly by gender. It follows, arguably, that scarce research resources may not be optimally invested (by either not supporting the best science or by failing to investigate topics that benefit women and men equitably). Women across the world tend to be significantly underrepresented in research both as researchers and research participants, receive less research funding, and appear less frequently than men as authors on research publications. There is also some evidence that women are relatively disadvantaged as the beneficiaries of research, in terms of its health, societal and economic impacts. Historical gender biases may have created a path dependency that means that the research system and the impacts of research are biased towards male researchers and male beneficiaries, making it inherently difficult (though not impossible) to eliminate gender bias. In this commentary, we – a group of scholars and practitioners from Africa, America, Asia and Europe – argue that gender-sensitive research impact assessment could become a force for good in moving science policy and practice towards gender equity. Research impact assessment is the multidisciplinary field of scientific inquiry that examines the research process to maximise scientific, societal and economic returns on investment in research. It encompasses many theoretical and methodological approaches that can be used to investigate gender bias and recommend actions for change to maximise research impact. We offer a set of recommendations to research funders, research institutions and research evaluators who conduct impact assessment on how to include and strengthen analysis of gender equity in research impact assessment and issue a global call for action.
Lederer-Woods, Claudia ; Battino, Umberto ; Ferreira, Pedro G. ; Gawlik, Aleksandra ; Guerrero Sánchez, Carlos ; Gunsing, Frank ; Heinitz, Stephan ; Lerendegui-Marco, Jorge ; Mengoni, Alberto ; Reifarth, René ; Tattersall, Ashley ; Valenta, Stanislav ; Weiß, Christina ; Aberle, Oliver ; Andrzejewski, Józef ; Audouin, Laurent ; Bécares, Vicente ; Bacak, Michael ; Balibrea Correa, Javier ; Barbagallo, Massimo ; Barros, Susana C.C. ; Bečvář, František ; Beinrucker, Clemens ; Belloni, Fabio ; Berthoumieux, Eric ; Billowes, Jonathan ; Bosnar, Damir ; Brugger, Markus ; Caamaño, Manuel ; Calviño Tavares, Francisco ; Calviani, Marco ; Cano-Ott, Daniel ; Cerutti, Francesco ; Chiaveri, Enrico ; Colonna, Nicola ; Cortés Rossell, Guillem Pere ; Cortés-Giraldo, Miguel Antonio ; Cosentino, Luigi ; Damone, Lucia Anna ; Deo, Kapil ; Diakaki, Maria ; Dietz, Mirco ; Domingo-Pardo, César ; Dressler, Rugard ; Dupont, Emmeric ; Durán, Ignacio ; Fernández Domínguez, Beatriz ; Ferrari, Alfredo ; Finocchiaro, Paolo ; Frost, Robert J. W. ; Furman, Valter ; Göbel, Kathrin ; García Ríos, Aczel Regino ; Gheorghe, Ioana ; Glodariu, Tudor ; Gonçalves, Isabel Maria Ferro ; González Romero, Enrique Miguel ; Goverdovski, Andrey ; Griesmayer, Erich ; Harada, Hideo ; Heftrich, Tanja ; Hernández Prieto, Álvaro ; Heyse, Jan ; Jenkins, David ; Jericha, Erwin ; Käppeler, Franz ; Kadi, Yacine ; Katabuchi, Tatsuya ; Kavrigin, Pavel ; Ketlerov, Vladimir ; Khryachkov, Vitaly ; Kimura, Akinori ; Kivel, Nikolay ; Knapová, Ingrid ; Kokkoris, Michael ; Krtička, Milan ; Leal Cidoncha, Esther ; Leeb, Helmut ; Licata, Mauro ; Lo Meo, Sergio ; Losito, Roberto ; Macina, Daniela ; Marganiec, Justyna ; Martínez, Trinitario ; Massimi, Cristian ; Mastinu, Pierfrancesco ; Mastromarco, Mario ; Matteucci, Francesca ; Mendoza Cembranos, Emilio ; Milazzo, Paolo Maria ; Mingrone, Federica ; Mirea, Mihail ; Montesano, Simone ; Musumarra, Agatino ; Nolte, Ralf ; Palomo Pinto, Francisco Rogelio ; Paradela Dobarro, Carlos ; Patronis, Nikolas ; Pavlik, Andreas ; Perkowski, Jarosław ; Porras Sánchez, José Ignacio ; Praena, Javier ; Quesada Molina, José Manuel ; Rauscher, Thomas ; Riego Pérez, Albert ; Robles Manzano, Maria Soledad ; Rubbia, Carlo ; Ryan, James A. ; Sabaté-Gilarte, Marta ; Saxena, Alok ; Schillebeeckx, Peter ; Schmidt, Stefan ; Schumann, Dorothea ; Sedyshev, Pavel V. ; Smith, Alastair Gavin ; Stamatopoulos, Athanasios ; Suryanarayana, Saraswatula Venkata ; Tagliente, Giuseppe ; Taı́n Enríquez, José Luis ; Tarifeño-Saldivia, Ariel ; Tassan-Got, Laurent ; Tsinganis, Andrea ; Vannini, Gianni ; Variale, Vincenzo ; Vaz, Pedro ; Ventura, Alberto ; Vlachoudis, Vasilis ; Vlastou, Rosa ; Wallner, Anton ; Warren, Stephen J. ; Weigand, Mario ; Wright, Tobias ; Žugec, Petar
73Ge(n, γ ) cross sections were measured at the neutron time-of-flight facility n_TOF at CERN up to neutron energies of 300 keV, providing for the first time experimental data above 8 keV. Results indicate that the stellar cross section at kT = 30 keV is 1.5 to 1.7 times higher than most theoretical predictions. The new cross sections result in a substantial decrease of 73Ge produced in stars, which would explain the low isotopic abundance of 73Ge in the solar system.
Gunsing, Frank ; Aberle, Oliver ; Andrzejewski, Józef ; Audouin, Laurent ; Bécares, Vicente ; Bacak, Michael ; Balibrea Correa, Javier ; Barbagallo, Massimo ; Barros, Susana C.C. ; Bečvář, František ; Beinrucker, Clemens ; Belloni, Fabio ; Berthoumieux, Eric ; Billowes, Jonathan ; Bosnar, Damir ; Brown, Adam ; Brugger, Markus ; Caamaño, Manuel ; Calviño Tavares, Francisco ; Calviani, Marco ; Cano-Ott, Daniel ; Cardella, Roberto ; Casanovas Hoste, Adrià ; Castelluccio, Donato Maurizio ; Cerutti, Francesco ; Chen, Yonghao ; Chiaveri, Enrico ; Colonna, Nicola ; Cortés-Giraldo, Miguel Antonio ; Cortés Rossell, Guillem Pere ; Cosentino, Luigi ; Damone, Lucia Anna ; Deo, Kapil ; Diakaki, Maria ; Domingo-Pardo, César ; Dressler, Rugard ; Dupont, Emmeric ; Durán, Ignacio ; Fernández Domínguez, Beatriz ; Ferrari, Alfredo ; Ferreira, Pedro G. ; Finocchiaro, Paolo ; Frost, Robert J. W. ; Furman, Valter ; Ganesan, Srinivasan ; García Ríos, Aczel Regino ; Gawlik, Aleksandra ; Gheorghe, Ioana ; Gilardoni, Simone ; Glodariu, Tudor ; Gonçalves, Isabel Maria Ferro ; González Romero, Enrique Miguel ; Goverdovski, Andrey ; Griesmayer, Erich ; Guerrero Sánchez, Carlos ; Göbel, Kathrin ; Harada, Hideo ; Heftrich, Tanja ; Heinitz, Stephan ; Hernández Prieto, Álvaro ; Heyse, Jan ; Jenkins, David ; Jericha, Erwin ; Käppeler, Franz ; Kadi, Yacine ; Kalamara, Antigoni ; Katabuchi, Tatsuya ; Kavrigin, Pavel ; Ketlerov, Vladimir ; Khryachkov, Vitaly ; Kimura, Atsushi ; Kivel, Nikolay ; Kokkoris, Michael ; Krtička, Milan ; Kurtulgil, Cem Deniz ; Leal Cidoncha, Esther ; Lederer, Claudia ; Leeb, Helmut ; Lerendegui, Jorge ; Licata, Mauro ; Lo Meo, Sergio ; Lonsdale, Sarah Jane ; Losito, Roberto ; Macina, Daniela ; Marganiec, Justyna ; Martı́nez, Trinitario ; Masi, Alessandro ; Massimi, Cristian ; Mastinu, Pierfrancesco ; Mastromarco, Mario ; Matteucci, Francesca ; Maugeri, Emilio Andrea ; Mazzone, Annamaria ; Mendoza Cembranos, Emilio ; Mengoni, Alberto ; Milazzo, Paolo Maria ; Mingrone, Federica ; Mirea, Mihail ; Montesano, Simone ; Musumarra, Agatino ; Nolte, Ralf ; Negret, Alexandru ; Oprea, Andreea ; Palomo Pinto, Francisco Rogelio ; Paradela Dobarro, Carlos ; Patronis, Nikolas ; Pavlik, Andreas ; Perkowski, Jarosław ; Porras Sánchez, José Ignacio ; Praena, Javier ; Quesada Molina, José Manuel ; Radeck, Désirée ; Rajeev, K. ; Rauscher, Thomas ; Reifarth, René ; Riego Pérez, Albert ; Robles Manzano, Maria Soledad ; Rout, Prakash Chandra ; Rubbia, Carlo ; Ryan, James ; Sabaté-Gilarte, Marta ; Saxena, Alok ; Schillebeeckx, Peter ; Schmidt, Stefan ; Schumann, Dorothea ; Sedyshev, Pavel V. ; Smith, Alastair Gavin ; Sosnin, Nikolay V. ; Stamatopoulos, Athanasios ; Suryanarayana, Saraswatula Venkata ; Tagliente, Giuseppe ; Taı́n Enríquez, José Luis ; Tarifeño-Saldivia, Ariel ; Tarrío Vilas, Diego ; Tassan-Got, Laurent ; Tsinganis, Andrea ; Valenta, Stanislav ; Vannini, Gianni ; Variale, Vincenzo ; Vaz, Pedro ; Ventura, Alberto ; Vlachoudis, Vasilis ; Vlastou, Rosa ; Wallner, Anton ; Warren, Stephen J. ; Weigand, Mario ; Weiß, Christina ; Wolf, Clemens ; Woods, Philip John ; Wright, Tobias ; Žugec, Petar
Neutron-induced reaction cross sections are important for a wide variety of research fields ranging from the study of nuclear level densities, nucleosynthesis to applications of nuclear technology like design, and criticality and safety assessment of existing and future nuclear reactors, radiation dosimetry, medical applications, nuclear waste transmutation, accelerator-driven systems and fuel cycle investigations. Simulations and calculations of nuclear technology applications largely rely on evaluated nuclear data libraries. The evaluations in these libraries are based both on experimental data and theoretical models. CERN’s neutron time-of-flight facility n_TOF has produced a considerable amount of experimental data since it has become fully operational with the start of its scientific measurement programme in 2001. While for a long period a single measurement station (EAR1) located at 185 m from the neutron production target was available, the construction of a second beam line at 20 m (EAR2) in 2014 has substantially increased the measurement capabilities of the facility. An outline of the experimental nuclear data activities at n_TOF will be presented.
Cunliffe, Andrew M. ; Anderson, Karen ; Boschetti, Fabio ; Brazier, Richard E. ; Graham, Hugh A. ; Myers-Smith, Isla H. ; Astor, Thomas ; Boer, Matthias M. ; Calvo, Leonor ; Clark, Patrick E. ; Cramer, Michael D. ; Encinas-Lara, Miguel Sebastián ; Escarzaga, Stephen M. ; Fernández-Guisuraga, José Manuel ; Fisher, Adrian G. ; Gdulová, Kateřina ; Gillespie, Breahna M. ; Griebel, Anne ; Hanan, Niall P. ; Hanggito, Muhammad S. ; Haselberger, Stefan ; Havrilla, Caroline A. ; Heilman, Philip ; Ji, Wenjie ; Karl, Jason W. ; Kirchhoff, Mario ; Kraushaar, Sabine ; Lyons, Mitchell B. ; Marzolff, Irene ; Mauritz, Marguerite E. ; McIntire, Cameron D. ; Metzen, Daniel ; Méndez-Barroso, Luis Arturo ; Power, Simon C. ; Prošek, Jiří ; Sanz-Ablanedo, Enoc ; Sauer, Katherine J. ; Schulze-Brüninghoff, Damian ; Šı́mová, Petra ; Sitch, Stephen ; Smit, Julian L. ; Steele, Caitriana M. ; Suárez-Seoane, Susana ; Vargas Zesati, Sergio A. ; Villarreal, Miguel L. ; Visser, Fleur ; Wachendorf, Michael ; Wirnsberger, Hannes ; Wojcikiewicz, Robert
Non-forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide ecosystem services including carbon sequestration and forage for grazing, yet are highly sensitive to climatic changes. Yet these ecosystems are poorly represented in remotely-sensed biomass products and are undersampled by in-situ monitoring. Current global change threats emphasise the need for new tools to capture biomass change in non-forest ecosystems at appropriate scales. Here we assess whether canopy height inferred from drone photogrammetry allows the estimation of aboveground biomass (AGB) across low-stature plant species sampled through a global site network. We found mean canopy height is strongly predictive of AGB across species, demonstrating standardised photogrammetric approaches are generalisable across growth forms and environmental settings. Biomass per-unit-of-height was similar within, but different among, plant functional types. We find drone-based photogrammetry allows for monitoring of AGB across large spatial extents and can advance understanding of understudied and vulnerable non-forested ecosystems across the globe.
Stamatopoulos, Athanasios ; Tsinganis, Andrea ; Colonna, Nicola ; Vlastou, Rosa ; Kokkoris, Michael ; Schillebeeckx, Peter ; Plompen, Arjan J. M. ; Heyse, Jan ; Žugec, Petar ; Barbagallo, Massimo ; Calviani, Marco ; Berthoumieux, Eric ; Chiaveri, Enrico ; Aberle, Oliver ; Andrzejewski, Józef ; Audouin, Laurent ; Bécares, Vicente ; Bacak, Michael ; Balibrea Correa, Javier ; Barros, Susana C.C. ; Bečvář, František ; Beinrucker, Clemens ; Belloni, Fabio ; Billowes, Jonathan ; Boccone, Vittorio ; Bosnar, Damir ; Brugger, Markus ; Caamaño, Manuel ; Calviño Tavares, Francisco ; Cano-Ott, Daniel ; Cerutti, Francesco ; Cortés Rossell, Guillem Pere ; Cortés-Giraldo, Miguel Antonio ; Cosentino, Luigi ; Damone, Lucia Anna ; Deo, Kapil ; Diakaki, Maria ; Domingo-Pardo, César ; Dressler, Rugard ; Dupont, Emmeric ; Durán, Ignacio ; Fernández Domínguez, Beatriz ; Ferrari, Alfredo ; Ferreira, Pedro G. ; Finocchiaro, Paolo ; Frost, Robert J. W. ; Furman, Valter ; Göbel, Kathrin ; Gómez Hornillos, María Belén ; García Ríos, Aczel Regino ; Gheorghe, Ioana ; Glodariu, Tudor ; Gonçalves, Isabel Maria Ferro ; González Romero, Enrique Miguel ; Goverdovski, Andrey ; Griesmayer, Erich ; Guerrero Sánchez, Carlos ; Gunsing, Frank ; Harada, Hideo ; Heftrich, Tanja ; Heinitz, Stephan ; Hernández Prieto, Álvaro ; Jenkins, David ; Jericha, Erwin ; Käppeler, Franz ; Kadi, Yacine ; Katabuchi, Tatsuya ; Kavrigin, Pavel ; Ketlerov, Vladimir ; Khryachkov, Vitaly ; Kimura, Atsushi ; Kivel, Nikolay ; Krtička, Milan ; Leal Cidoncha, Esther ; Lederer, Claudia ; Leeb, Helmut ; Lerendegui-Marco, Jorge ; Licata, Mauro ; Lo Meo, Sergio ; Losito, Roberto ; Macina, Daniela ; Marganiec, Justyna ; Martı́nez, Trinitario ; Massimi, Cristian ; Mastinu, Pierfrancesco ; Mastromarco, Mario ; Matteucci, Francesca ; Mendoza Cembranos, Emilio ; Mengoni, Alberto ; Milazzo, Paolo Maria ; Mingrone, Federica ; Mirea, Mihail ; Montesano, Simone ; Musumarra, Agatino ; Nolte, Ralf ; Palomo Pinto, Francisco Rogelio ; Paradela Dobarro, Carlos ; Patronis, Nikolas ; Pavlik, Andreas ; Perkowski, Jarosław ; Porras Sánchez, José Ignacio ; Praena, Javier ; Quesada Molina, José Manuel ; Rauscher, Thomas ; Reifarth, René ; Riego Pérez, Albert ; Robles Manzano, Maria Soledad ; Rubbia, Carlo ; Ryan, James ; Sabaté-Gilarte, Marta ; Saxena, Alok ; Schmidt, Stefan ; Schumann, Dorothea ; Sedyshev, Pavel V. ; Smith, Alastair Gavin ; Suryanarayana, Saraswatula Venkata ; Tagliente, Giuseppe ; Taı́n Enríquez, José Luis ; Tarifeño-Saldivia, Ariel ; Tassan-Got, Laurent ; Valenta, Stanislav ; Vannini, Gianni ; Variale, Vincenzo ; Vaz, Pedro ; Ventura, Alberto ; Vlachoudis, Vasilis ; Wallner, Anton ; Warren, Stephen J. ; Weigand, Mario ; Weiß, Christina ; Wright, Tobias
The accurate knowledge of the neutron-induced fission cross-sections of actinides and other isotopes involved in the nuclear fuel cycle is essential for the design of advanced nuclear systems, such as Generation-IV nuclear reactors. Such experimental data can also provide the necessary feedback for the adjustment of nuclear model parameters used in the evaluation process, resulting in the further development of nuclear fission models. In the present work, the 240Pu(n,f) cross-section was measured at CERN's n_TOF facility relative to the well-known 235U(n,f) cross section, over a wide range of neutron energies, from meV to almost MeV, using the time-of-flight technique and a set-up based on Micromegas detectors. This measurement was the first experiment to be performed at n_TOF's new experimental area (EAR-2), which offers a significantly higher neutron flux compared to the already existing experimental area (EAR-1). Preliminary results as well as the experimental procedure, including a description of the facility and the data handling and analysis, are presented.
Cunliffe, Andrew M. ; Anderson, Karen ; Boschetti, Fabio ; Brazier, Richard E. ; Graham, Hugh A. ; Myers-Smith, Isla H. ; Astor, Thomas ; Boer, Matthias M. ; Calvo, Leonor G. ; Clark, Patrick E. ; Cramer, Michael D. ; Encinas-Lara, Miguel S. ; Escarzaga, Stephen M. ; Fernández-Guisuraga, José M. ; Fisher, Adrian G. ; Gdulová, Kateřina ; Gillespie, Breahna M. ; Griebel, Anne ; Hanan, Niall P. ; Hanggito, Muhammad S. ; Haselberger, Stefan ; Havrilla, Caroline A. ; Heilman, Phil ; Ji, Wenjie ; Karl, Jason W. ; Kirchhoff, Mario ; Kraushaar, Sabine ; Lyons, Mitchell B. ; Marzolff, Irene ; Mauritz, Marguerite E. ; McIntire, Cameron D. ; Metzen, Daniel ; Méndez-Barroso, Luis A. ; Power, Simon C. ; Prošek, Jiří ; Sanz-Ablanedo, Enoc ; Sauer, Katherine J. ; Schulze-Brüninghoff, Damian ; Šímová, Petra ; Sitch, Stephen ; Smit, Julian L. ; Steele, Caiti M. ; Suárez-Seoane, Susana ; Vargas, Sergio A. ; Villarreal, Miguel ; Visser, Fleur ; Wachendorf, Michael ; Wirnsberger, Hannes ; Wojcikiewicz, Robert
Non-forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide ecosystem services including carbon sequestration and forage for grazing, and are highly sensitive to climatic changes. Yet these ecosystems are poorly represented in remotely sensed biomass products and are undersampled by in situ monitoring. Current global change threats emphasize the need for new tools to capture biomass change in non-forest ecosystems at appropriate scales. Here we developed and deployed a new protocol for photogrammetric height using unoccupied aerial vehicle (UAV) images to test its capability for delivering standardized measurements of biomass across a globally distributed field experiment. We assessed whether canopy height inferred from UAV photogrammetry allows the prediction of aboveground biomass (AGB) across low-stature plant species by conducting 38 photogrammetric surveys over 741 harvested plots to sample 50 species. We found mean canopy height was strongly predictive of AGB across species, with a median adjusted R2 of 0.87 (ranging from 0.46 to 0.99) and median prediction error from leave-one-out cross-validation of 3.9%. Biomass per-unit-of-height was similar within but different among, plant functional types. We found that photogrammetric reconstructions of canopy height were sensitive to wind speed but not sun elevation during surveys. We demonstrated that our photogrammetric approach produced generalizable measurements across growth forms and environmental settings and yielded accuracies as good as those obtained from in situ approaches. We demonstrate that using a standardized approach for UAV photogrammetry can deliver accurate AGB estimates across a wide range of dynamic and heterogeneous ecosystems. Many academic and land management institutions have the technical capacity to deploy these approaches over extents of 1–10 ha−1. Photogrammetric approaches could provide much-needed information required to calibrate and validate the vegetation models and satellite-derived biomass products that are essential to understand vulnerable and understudied non-forested ecosystems around the globe.