TY - JOUR A1 - Hetenyi, Gyorgy A1 - Molinari, Irene A1 - Clinton, John A1 - Bokelmann, Gotz A1 - Bondar, Istvan A1 - Crawford, Wayne C. A1 - Dessa, Jean-Xavier A1 - Doubre, Cecile A1 - Friederich, Wolfgang A1 - Fuchs, Florian A1 - Giardini, Domenico A1 - Graczer, Zoltan A1 - Handy, Mark R. A1 - Herak, Marijan A1 - Jia, Yan A1 - Kissling, Edi A1 - Kopp, Heidrun A1 - Korn, Michael A1 - Margheriti, Lucia A1 - Meier, Thomas A1 - Mucciarelli, Marco A1 - Paul, Anne A1 - Pesaresi, Damiano A1 - Piromallo, Claudia A1 - Plenefisch, Thomas A1 - Plomerova, Jaroslava A1 - Ritter, Joachim A1 - Rumpker, Georg A1 - Sipka, Vesna A1 - Spallarossa, Daniele A1 - Thomas, Christine A1 - Tilmann, Frederik A1 - Wassermann, Joachim A1 - Weber, Michael A1 - Weber, Zoltan A1 - Wesztergom, Viktor A1 - Zivcic, Mladen A1 - Abreu, Rafael A1 - Allegretti, Ivo A1 - Apoloner, Maria-Theresia A1 - Aubert, Coralie A1 - Besancon, Simon A1 - de Berc, Maxime Bes A1 - Brunel, Didier A1 - Capello, Marco A1 - Carman, Martina A1 - Cavaliere, Adriano A1 - Cheze, Jerome A1 - Chiarabba, Claudio A1 - Cougoulat, Glenn A1 - Cristiano, Luigia A1 - Czifra, Tibor A1 - Danesi, Stefania A1 - Daniel, Romuald A1 - Dannowski, Anke A1 - Dasovic, Iva A1 - Deschamps, Anne A1 - Egdorf, Sven A1 - Fiket, Tomislav A1 - Fischer, Kasper A1 - Funke, Sigward A1 - Govoni, Aladino A1 - Groschl, Gidera A1 - Heimers, Stefan A1 - Heit, Ben A1 - Herak, Davorka A1 - Huber, Johann A1 - Jaric, Dejan A1 - Jedlicka, Petr A1 - Jund, Helene A1 - Klingen, Stefan A1 - Klotz, Bernhard A1 - Kolinsky, Petr A1 - Kotek, Josef A1 - Kuhne, Lothar A1 - Kuk, Kreso A1 - Lange, Dietrich A1 - Loos, Jurgen A1 - Lovati, Sara A1 - Malengros, Deny A1 - Maron, Christophe A1 - Martin, Xavier A1 - Massa, Marco A1 - Mazzarini, Francesco A1 - Metral, Laurent A1 - Moretti, Milena A1 - Munzarova, Helena A1 - Nardi, Anna A1 - Pahor, Jurij A1 - Pequegnat, Catherine A1 - Petersen, Florian A1 - Piccinini, Davide A1 - Pondrelli, Silvia A1 - Prevolnik, Snjezan A1 - Racine, Roman A1 - Regnier, Marc A1 - Reiss, Miriam A1 - Salimbeni, Simone A1 - Santulin, Marco A1 - Scherer, Werner A1 - Schippkus, Sven A1 - Schulte-Kortnack, Detlef A1 - Solarino, Stefano A1 - Spieker, Kathrin A1 - Stipcevic, Josip A1 - Strollo, Angelo A1 - Sule, Balint A1 - Szanyi, Gyongyver A1 - Szucs, Eszter A1 - Thorwart, Martin A1 - Ueding, Stefan A1 - Vallocchia, Massimiliano A1 - Vecsey, Ludek A1 - Voigt, Rene A1 - Weidle, Christian A1 - Weyland, Gauthier A1 - Wiemer, Stefan A1 - Wolf, Felix A1 - Wolyniec, David A1 - Zieke, Thomas T1 - The AlpArray seismic network BT - a large-scale european experiment to image the alpine orogen JF - Surveys in Geophysics N2 - The AlpArray programme is a multinational, European consortium to advance our understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations, surface processes and seismic hazard in the Alps-Apennines-Carpathians-Dinarides orogenic system. The AlpArray Seismic Network has been deployed with contributions from 36 institutions from 11 countries to map physical properties of the lithosphere and asthenosphere in 3D and thus to obtain new, high-resolution geophysical images of structures from the surface down to the base of the mantle transition zone. With over 600 broadband stations operated for 2 years, this seismic experiment is one of the largest simultaneously operated seismological networks in the academic domain, employing hexagonal coverage with station spacing at less than 52 km. This dense and regularly spaced experiment is made possible by the coordinated coeval deployment of temporary stations from numerous national pools, including ocean-bottom seismometers, which were funded by different national agencies. They combine with permanent networks, which also required the cooperation of many different operators. Together these stations ultimately fill coverage gaps. Following a short overview of previous large-scale seismological experiments in the Alpine region, we here present the goals, construction, deployment, characteristics and data management of the AlpArray Seismic Network, which will provide data that is expected to be unprecedented in quality to image the complex Alpine mountains at depth. KW - Seismology KW - Alps KW - Seismic network KW - Geodynamics KW - Seismic imaging KW - Mountain building Y1 - 2018 U6 - https://doi.org/10.1007/s10712-018-9472-4 SN - 0169-3298 SN - 1573-0956 VL - 39 IS - 5 SP - 1009 EP - 1033 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Taal, H. Rob A1 - St Pourcain, Beate A1 - Thiering, Elisabeth A1 - Das, Shikta A1 - Mook-Kanamori, Dennis O. A1 - Warrington, Nicole M. A1 - Kaakinen, Marika A1 - Kreiner-Moller, Eskil A1 - Bradfield, Jonathan P. A1 - Freathy, Rachel M. A1 - Geller, Frank A1 - Guxens, Monica A1 - Cousminer, Diana L. A1 - Kerkhof, Marjan A1 - Timpson, Nicholas J. A1 - Ikram, M. Arfan A1 - Beilin, Lawrence J. A1 - Bonnelykke, Klaus A1 - Buxton, Jessica L. A1 - Charoen, Pimphen A1 - Chawes, Bo Lund Krogsgaard A1 - Eriksson, Johan A1 - Evans, David M. A1 - Hofman, Albert A1 - Kemp, John P. A1 - Kim, Cecilia E. A1 - Klopp, Norman A1 - Lahti, Jari A1 - Lye, Stephen J. A1 - McMahon, George A1 - Mentch, Frank D. A1 - Mueller-Nurasyid, Martina A1 - O'Reilly, Paul F. A1 - Prokopenko, Inga A1 - Rivadeneira, Fernando A1 - Steegers, Eric A. P. A1 - Sunyer, Jordi A1 - Tiesler, Carla A1 - Yaghootkar, Hanieh A1 - Breteler, Monique M. B. A1 - Debette, Stephanie A1 - Fornage, Myriam A1 - Gudnason, Vilmundur A1 - Launer, Lenore J. A1 - van der Lugt, Aad A1 - Mosley, Thomas H. A1 - Seshadri, Sudha A1 - Smith, Albert V. A1 - Vernooij, Meike W. A1 - Blakemore, Alexandra I. F. A1 - Chiavacci, Rosetta M. A1 - Feenstra, Bjarke A1 - Fernandez-Banet, Julio A1 - Grant, Struan F. A. A1 - Hartikainen, Anna-Liisa A1 - van der Heijden, Albert J. A1 - Iniguez, Carmen A1 - Lathrop, Mark A1 - McArdle, Wendy L. A1 - Molgaard, Anne A1 - Newnham, John P. A1 - Palmer, Lyle J. A1 - Palotie, Aarno A1 - Pouta, Annneli A1 - Ring, Susan M. A1 - Sovio, Ulla A1 - Standl, Marie A1 - Uitterlinden, Andre G. A1 - Wichmann, H-Erich A1 - Vissing, Nadja Hawwa A1 - DeCarli, Charles A1 - van Duijn, Cornelia M. A1 - McCarthy, Mark I. A1 - Koppelman, Gerard H. A1 - Estivill, Xavier A1 - Hattersley, Andrew T. A1 - Melbye, Mads A1 - Bisgaard, Hans A1 - Pennell, Craig E. A1 - Widen, Elisabeth A1 - Hakonarson, Hakon A1 - Smith, George Davey A1 - Heinrich, Joachim A1 - Jarvelin, Marjo-Riitta A1 - Jaddoe, Vincent W. V. A1 - Adair, Linda S. A1 - Ang, Wei A1 - Atalay, Mustafa A1 - van Beijsterveldt, Toos A1 - Bergen, Nienke A1 - Benke, Kelly A1 - Berry, Diane J. A1 - Bradfield, Jonathan P. A1 - Charoen, Pimphen A1 - Coin, Lachlan A1 - Cousminer, Diana L. A1 - Das, Shikta A1 - Davis, Oliver S. P. A1 - Elliott, Paul A1 - Evans, David M. A1 - Feenstra, Bjarke A1 - Flexeder, Claudia A1 - Frayling, Tim A1 - Freathy, Rachel M. A1 - Gaillard, Romy A1 - Geller, Frank A1 - Groen-Blokhuis, Maria A1 - Goh, Liang-Kee A1 - Guxens, Monica A1 - Haworth, Claire M. A. A1 - Hadley, Dexter A1 - Hebebrand, Johannes A1 - Hinney, Anke A1 - Hirschhorn, Joel N. A1 - Holloway, John W. A1 - Holst, Claus A1 - Hottenga, Jouke Jan A1 - Horikoshi, Momoko A1 - Huikari, Ville A1 - Hypponen, Elina A1 - Iniguez, Carmen A1 - Kaakinen, Marika A1 - Kilpelainen, Tuomas O. A1 - Kirin, Mirna A1 - Kowgier, Matthew A1 - Lakka, Hanna-Maaria A1 - Lange, Leslie A. A1 - Lawlor, Debbie A. A1 - Lehtimaki, Terho A1 - Lewin, Alex A1 - Lindgren, Cecilia A1 - Lindi, Virpi A1 - Maggi, Reedik A1 - Marsh, Julie A1 - Middeldorp, Christel A1 - Millwood, Iona A1 - Mook-Kanamori, Dennis O. A1 - Murray, Jeffrey C. A1 - Nivard, Michel A1 - Nohr, Ellen Aagaard A1 - Ntalla, Ioanna A1 - Oken, Emily A1 - O'Reilly, Paul F. A1 - Palmer, Lyle J. A1 - Panoutsopoulou, Kalliope A1 - Pararajasingham, Jennifer A1 - Prokopenko, Inga A1 - Rodriguez, Alina A1 - Salem, Rany M. A1 - Sebert, Sylvain A1 - Siitonen, Niina A1 - Sovio, Ulla A1 - St Pourcain, Beate A1 - Strachan, David P. A1 - Sunyer, Jordi A1 - Taal, H. Rob A1 - Teo, Yik-Ying A1 - Thiering, Elisabeth A1 - Tiesler, Carla A1 - Uitterlinden, Andre G. A1 - Valcarcel, Beatriz A1 - Warrington, Nicole M. A1 - White, Scott A1 - Willemsen, Gonneke A1 - Yaghootkar, Hanieh A1 - Zeggini, Eleftheria A1 - Boomsma, Dorret I. A1 - Cooper, Cyrus A1 - Estivill, Xavier A1 - Gillman, Matthew A1 - Grant, Struan F. A. A1 - Hakonarson, Hakon A1 - Hattersley, Andrew T. A1 - Heinrich, Joachim A1 - Hocher, Berthold A1 - Jaddoe, Vincent W. V. A1 - Jarvelin, Marjo-Riitta A1 - Lakka, Timo A. A1 - McCarthy, Mark I. A1 - Melbye, Mads A1 - Mohlke, Karen L. A1 - Dedoussis, George V. A1 - Ong, Ken K. A1 - Pearson, Ewan R. A1 - Pennell, Craig E. A1 - Price, Thomas S. A1 - Power, Chris A1 - Raitakari, Olli T. A1 - Saw, Seang-Mei A1 - Scherag, Andre A1 - Simell, Olli A1 - Sorensen, Thorkild I. A. A1 - Timpson, Nicholas J. A1 - Widen, Elisabeth A1 - Wilson, James F. A1 - Ang, Wei A1 - van Beijsterveldt, Toos A1 - Bergen, Nienke A1 - Benke, Kelly A1 - Berry, Diane J. A1 - Bradfield, Jonathan P. A1 - Charoen, Pimphen A1 - Coin, Lachlan A1 - Cousminer, Diana L. A1 - Das, Shikta A1 - Elliott, Paul A1 - Evans, David M. A1 - Frayling, Tim A1 - Freathy, Rachel M. A1 - Gaillard, Romy A1 - Groen-Blokhuis, Maria A1 - Guxens, Monica A1 - Hadley, Dexter A1 - Hottenga, Jouke Jan A1 - Huikari, Ville A1 - Hypponen, Elina A1 - Kaakinen, Marika A1 - Kowgier, Matthew A1 - Lawlor, Debbie A. A1 - Lewin, Alex A1 - Lindgren, Cecilia A1 - Marsh, Julie A1 - Middeldorp, Christel A1 - Millwood, Iona A1 - Mook-Kanamori, Dennis O. A1 - Nivard, Michel A1 - O'Reilly, Paul F. A1 - Palmer, Lyle J. A1 - Prokopenko, Inga A1 - Rodriguez, Alina A1 - Sebert, Sylvain A1 - Sovio, Ulla A1 - St Pourcain, Beate A1 - Standl, Marie A1 - Strachan, David P. A1 - Sunyer, Jordi A1 - Taal, H. Rob A1 - Thiering, Elisabeth A1 - Tiesler, Carla A1 - Uitterlinden, Andre G. A1 - Valcarcel, Beatriz A1 - Warrington, Nicole M. A1 - White, Scott A1 - Willemsen, Gonneke A1 - Yaghootkar, Hanieh A1 - Boomsma, Dorret I. A1 - Estivill, Xavier A1 - Grant, Struan F. A. A1 - Hakonarson, Hakon A1 - Hattersley, Andrew T. A1 - Heinrich, Joachim A1 - Jaddoe, Vincent W. V. A1 - Jarvelin, Marjo-Riitta A1 - McCarthy, Mark I. A1 - Pennell, Craig E. A1 - Power, Chris A1 - Timpson, Nicholas J. A1 - Widen, Elisabeth A1 - Ikram, M. Arfan A1 - Fornage, Myriam A1 - Smith, Albert V. A1 - Seshadri, Sudha A1 - Schmidt, Reinhold A1 - Debette, Stephanie A1 - Vrooman, Henri A. A1 - Sigurdsson, Sigurdur A1 - Ropele, Stefan A1 - Coker, Laura H. A1 - Longstreth, W. T. A1 - Niessen, Wiro J. A1 - DeStefano, Anita L. A1 - Beiser, Alexa A1 - Zijdenbos, Alex P. A1 - Struchalin, Maksim A1 - Jack, Clifford R. A1 - Nalls, Mike A. A1 - Au, Rhoda A1 - Hofman, Albert A1 - Gudnason, Haukur A1 - van der Lugt, Aad A1 - Harris, Tamara B. A1 - Meeks, William M. A1 - Vernooij, Meike W. A1 - van Buchem, Mark A. A1 - Catellier, Diane A1 - Gudnason, Vilmundur A1 - Windham, B. Gwen A1 - Wolf, Philip A. A1 - van Duijn, Cornelia M. A1 - Mosley, Thomas H. A1 - Schmidt, Helena A1 - Launer, Lenore J. A1 - Breteler, Monique M. B. A1 - DeCarli, Charles T1 - Common variants at 12q15 and 12q24 are associated with infant head circumference JF - Nature genetics N2 - To identify genetic variants associated with head circumference in infancy, we performed a meta-analysis of seven genome-wide association studies (GWAS) (N = 10,768 individuals of European ancestry enrolled in pregnancy and/or birth cohorts) and followed up three lead signals in six replication studies (combined N = 19,089). rs7980687 on chromosome 12q24 (P = 8.1 x 10(-9)) and rs1042725 on chromosome 12q15 (P = 2.8 x 10(-10)) were robustly associated with head circumference in infancy. Although these loci have previously been associated with adult height(1), their effects on infant head circumference were largely independent of height (P = 3.8 x 10(-7) for rs7980687 and P = 1.3 x 10(-7) for rs1042725 after adjustment for infant height). A third signal, rs11655470 on chromosome 17q21, showed suggestive evidence of association with head circumference (P = 3.9 x 10(-6)). SNPs correlated to the 17q21 signal have shown genome-wide association with adult intracranial volume(2), Parkinson's disease and other neurodegenerative diseases(3-5), indicating that a common genetic variant in this region might link early brain growth with neurological disease in later life. Y1 - 2012 U6 - https://doi.org/10.1038/ng.2238 SN - 1061-4036 VL - 44 IS - 5 SP - 532 EP - + PB - Nature Publ. Group CY - New York ER - TY - JOUR A1 - Ikram, M. Arfan A1 - Fornage, Myriam A1 - Smith, Albert V. A1 - Seshadri, Sudha A1 - Schmidt, Reinhold A1 - Debette, Stephanie A1 - Vrooman, Henri A. A1 - Sigurdsson, Sigurdur A1 - Ropele, Stefan A1 - Taal, H. Rob A1 - Mook-Kanamori, Dennis O. A1 - Coker, Laura H. A1 - Longstreth, W. T. A1 - Niessen, Wiro J. A1 - DeStefano, Anita L. A1 - Beiser, Alexa A1 - Zijdenbos, Alex P. A1 - Struchalin, Maksim A1 - Jack, Clifford R. A1 - Rivadeneira, Fernando A1 - Uitterlinden, Andre G. A1 - Knopman, David S. A1 - Hartikainen, Anna-Liisa A1 - Pennell, Craig E. A1 - Thiering, Elisabeth A1 - Steegers, Eric A. P. A1 - Hakonarson, Hakon A1 - Heinrich, Joachim A1 - Palmer, Lyle J. A1 - Jarvelin, Marjo-Riitta A1 - McCarthy, Mark I. A1 - Grant, Struan F. A. A1 - St Pourcain, Beate A1 - Timpson, Nicholas J. A1 - Smith, George Davey A1 - Sovio, Ulla A1 - Nalls, Mike A. A1 - Au, Rhoda A1 - Hofman, Albert A1 - Gudnason, Haukur A1 - van der Lugt, Aad A1 - Harris, Tamara B. A1 - Meeks, William M. A1 - Vernooij, Meike W. A1 - van Buchem, Mark A. A1 - Catellier, Diane A1 - Jaddoe, Vincent W. V. A1 - Gudnason, Vilmundur A1 - Windham, B. Gwen A1 - Wolf, Philip A. A1 - van Duijn, Cornelia M. A1 - Mosley, Thomas H. A1 - Schmidt, Helena A1 - Launer, Lenore J. A1 - Breteler, Monique M. B. A1 - DeCarli, Charles A1 - Adair, Linda S. A1 - Ang, Wei A1 - Atalay, Mustafa A1 - vanBeijsterveldt, Toos A1 - Bergen, Nienke A1 - Benke, Kelly A1 - Berry, Diane J. A1 - Coin, Lachlan A1 - Davis, Oliver S. P. A1 - Elliott, Paul A1 - Flexeder, Claudia A1 - Frayling, Tim A1 - Gaillard, Romy A1 - Groen-Blokhuis, Maria A1 - Goh, Liang-Kee A1 - Haworth, Claire M. A. A1 - Hadley, Dexter A1 - Hebebrand, Johannes A1 - Hinney, Anke A1 - Hirschhorn, Joel N. A1 - Holloway, John W. A1 - Holst, Claus A1 - Hottenga, Jouke Jan A1 - Horikoshi, Momoko A1 - Huikari, Ville A1 - Hypponen, Elina A1 - Kilpelainen, Tuomas O. A1 - Kirin, Mirna A1 - Kowgier, Matthew A1 - Lakka, Hanna-Maaria A1 - Lange, Leslie A. A1 - Lawlor, Debbie A. A1 - Lehtimaki, Terho A1 - Lewin, Alex A1 - Lindgren, Cecilia A1 - Lindi, Virpi A1 - Maggi, Reedik A1 - Marsh, Julie A1 - Middeldorp, Christel A1 - Millwood, Iona A1 - Murray, Jeffrey C. A1 - Nivard, Michel A1 - Nohr, Ellen Aagaard A1 - Ntalla, Ioanna A1 - Oken, Emily A1 - Panoutsopoulou, Kalliope A1 - Pararajasingham, Jennifer A1 - Rodriguez, Alina A1 - Salem, Rany M. A1 - Sebert, Sylvain A1 - Siitonen, Niina A1 - Strachan, David P. A1 - Teo, Yik-Ying A1 - Valcarcel, Beatriz A1 - Willemsen, Gonneke A1 - Zeggini, Eleftheria A1 - Boomsma, Dorret I. A1 - Cooper, Cyrus A1 - Gillman, Matthew A1 - Hocher, Berthold A1 - Lakka, Timo A. A1 - Mohlke, Karen L. A1 - Dedoussis, George V. A1 - Ong, Ken K. A1 - Pearson, Ewan R. A1 - Price, Thomas S. A1 - Power, Chris A1 - Raitakari, Olli T. A1 - Saw, Seang-Mei A1 - Scherag, Andre A1 - Simell, Olli A1 - Sorensen, Thorkild I. A. A1 - Wilson, James F. T1 - Common variants at 6q22 and 17q21 are associated with intracranial volume JF - Nature genetics N2 - During aging, intracranial volume remains unchanged and represents maximally attained brain size, while various interacting biological phenomena lead to brain volume loss. Consequently, intracranial volume and brain volume in late life reflect different genetic influences. Our genome-wide association study (GWAS) in 8,175 community-dwelling elderly persons did not reveal any associations at genome-wide significance (P < 5 x 10(-8)) for brain volume. In contrast, intracranial volume was significantly associated with two loci: rs4273712 (P = 3.4 x 10(-11)), a known height-associated locus on chromosome 6q22, and rs9915547 (P = 1.5 x 10(-12)), localized to the inversion on chromosome 17q21. We replicated the associations of these loci with intracranial volume in a separate sample of 1,752 elderly persons (P = 1.1 x 10(-3) for 6q22 and 1.2 x 10(-3) for 17q21). Furthermore, we also found suggestive associations of the 17q21 locus with head circumference in 10,768 children (mean age of 14.5 months). Our data identify two loci associated with head size, with the inversion at 17q21 also likely to be involved in attaining maximal brain size. Y1 - 2012 U6 - https://doi.org/10.1038/ng.2245 SN - 1061-4036 VL - 44 IS - 5 SP - 539 EP - + PB - Nature Publ. Group CY - New York ER - TY - JOUR A1 - de Vera, Jean-Pierre Paul A1 - Böttger, Ute A1 - de la Torre Nötzel, Rosa A1 - Sanchez, Francisco J. A1 - Grunow, Dana A1 - Schmitz, Nicole A1 - Lange, Caroline A1 - Hübers, Heinz-Wilhelm A1 - Billi, Daniela A1 - Baque, Mickael A1 - Rettberg, Petra A1 - Rabbow, Elke A1 - Reitz, Günther A1 - Berger, Thomas A1 - Möller, Ralf A1 - Bohmeier, Maria A1 - Horneck, Gerda A1 - Westall, Frances A1 - Jänchen, Jochen A1 - Fritz, Jörg A1 - Meyer, Cornelia A1 - Onofri, Silvano A1 - Selbmann, Laura A1 - Zucconi, Laura A1 - Kozyrovska, Natalia A1 - Leya, Thomas A1 - Foing, Bernard A1 - Demets, Rene A1 - Cockell, Charles S. A1 - Bryce, Casey A1 - Wagner, Dirk A1 - Serrano, Paloma A1 - Edwards, Howell G. M. A1 - Joshi, Jasmin Radha A1 - Huwe, Björn A1 - Ehrenfreund, Pascale A1 - Elsaesser, Andreas A1 - Ott, Sieglinde A1 - Meessen, Joachim A1 - Feyh, Nina A1 - Szewzyk, Ulrich A1 - Jaumann, Ralf A1 - Spohn, Tilman T1 - Supporting Mars exploration BIOMEX in Low Earth Orbit and further astrobiological studies on the Moon using Raman and PanCam technology JF - Planetary and space science N2 - The Low Earth Orbit (LEO) experiment Biology and Mars Experiment (BIOMEX) is an interdisciplinary and international space research project selected by ESA. The experiment will be accommodated on the space exposure facility EXPOSE-R2 on the International Space Station (ISS) and is foreseen to be launched in 2013. The prime objective of BIOMEX is to measure to what extent biomolecules, such as pigments and cellular components, are resistant to and able to maintain their stability under space and Mars-like conditions. The results of BIOMEX will be relevant for space proven biosignature definition and for building a biosignature data base (e.g. the proposed creation of an international Raman library). The library will be highly relevant for future space missions such as the search for life on Mars. The secondary scientific objective is to analyze to what extent terrestrial extremophiles are able to survive in space and to determine which interactions between biological samples and selected minerals (including terrestrial, Moon- and Mars analogs) can be observed under space and Mars-like conditions. In this context, the Moon will be an additional platform for performing similar experiments with negligible magnetic shielding and higher solar and galactic irradiation compared to LEO. Using the Moon as an additional astrobiological exposure platform to complement ongoing astrobiological LEO investigations could thus enhance the chances of detecting organic traces of life on Mars. We present a lunar lander mission with two related objectives: a lunar lander equipped with Raman and PanCam instruments which can analyze the lunar surface and survey an astrobiological exposure platform. This dual use of testing mission technology together with geo- and astrobiological analyses will significantly increase the science return, and support the human preparation objectives. It will provide knowledge about the Moon's surface itself and, in addition, monitor the stability of life-markers, such as cells, cell components and pigments, in an extraterrestrial environment with much closer radiation properties to the surface of Mars. The combination of a Raman data base of these data together with data from LEO and space simulation experiments, will lead to further progress on the analysis and interpretation of data that we will obtain from future Moon and Mars exploration missions. KW - Moon KW - Mars KW - Low Earth Orbit KW - Astrobiology KW - Instrumentation KW - Spectroscopy KW - Biosignature Y1 - 2012 U6 - https://doi.org/10.1016/j.pss.2012.06.010 SN - 0032-0633 VL - 74 IS - 1 SP - 103 EP - 110 PB - Elsevier CY - Oxford ER - TY - GEN A1 - Gorski, Mathias A1 - Jung, Bettina A1 - Li, Yong A1 - Matias-Garcia, Pamela R. A1 - Wuttke, Matthias A1 - Coassin, Stefan A1 - Thio, Chris H. L. A1 - Kleber, Marcus E. A1 - Winkler, Thomas W. A1 - Wanner, Veronika A1 - Chai, Jin-Fang A1 - Chu, Audrey Y. A1 - Cocca, Massimiliano A1 - Feitosa, Mary F. A1 - Ghasemi, Sahar A1 - Hoppmann, Anselm A1 - Horn, Katrin A1 - Li, Man A1 - Nutile, Teresa A1 - Scholz, Markus A1 - Sieber, Karsten B. A1 - Teumer, Alexander A1 - Tin, Adrienne A1 - Wang, Judy A1 - Tayo, Bamidele O. A1 - Ahluwalia, Tarunveer S. A1 - Almgren, Peter A1 - Bakker, Stephan J. L. A1 - Banas, Bernhard A1 - Bansal, Nisha A1 - Biggs, Mary L. A1 - Boerwinkle, Eric A1 - Böttinger, Erwin A1 - Brenner, Hermann A1 - Carroll, Robert J. A1 - Chalmers, John A1 - Chee, Miao-Li A1 - Chee, Miao-Ling A1 - Cheng, Ching-Yu A1 - Coresh, Josef A1 - de Borst, Martin H. A1 - Degenhardt, Frauke A1 - Eckardt, Kai-Uwe A1 - Endlich, Karlhans A1 - Franke, Andre A1 - Freitag-Wolf, Sandra A1 - Gampawar, Piyush A1 - Gansevoort, Ron T. A1 - Ghanbari, Mohsen A1 - Gieger, Christian A1 - Hamet, Pavel A1 - Ho, Kevin A1 - Hofer, Edith A1 - Holleczek, Bernd A1 - Foo, Valencia Hui Xian A1 - Hutri-Kahonen, Nina A1 - Hwang, Shih-Jen A1 - Ikram, M. Arfan A1 - Josyula, Navya Shilpa A1 - Kahonen, Mika A1 - Khor, Chiea-Chuen A1 - Koenig, Wolfgang A1 - Kramer, Holly A1 - Kraemer, Bernhard K. A1 - Kuehnel, Brigitte A1 - Lange, Leslie A. A1 - Lehtimaki, Terho A1 - Lieb, Wolfgang A1 - Loos, Ruth J. F. A1 - Lukas, Mary Ann A1 - Lyytikainen, Leo-Pekka A1 - Meisinger, Christa A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Milaneschi, Yuri A1 - Mishra, Pashupati P. A1 - Mononen, Nina A1 - Mychaleckyj, Josyf C. A1 - Nadkarni, Girish N. A1 - Nauck, Matthias A1 - Nikus, Kjell A1 - Ning, Boting A1 - Nolte, Ilja M. A1 - O'Donoghue, Michelle L. A1 - Orho-Melander, Marju A1 - Pendergrass, Sarah A. A1 - Penninx, Brenda W. J. H. A1 - Preuss, Michael H. A1 - Psaty, Bruce M. A1 - Raffield, Laura M. A1 - Raitakari, Olli T. A1 - Rettig, Rainer A1 - Rheinberger, Myriam A1 - Rice, Kenneth M. A1 - Rosenkranz, Alexander R. A1 - Rossing, Peter A1 - Rotter, Jerome A1 - Sabanayagam, Charumathi A1 - Schmidt, Helena A1 - Schmidt, Reinhold A1 - Schoettker, Ben A1 - Schulz, Christina-Alexandra A1 - Sedaghat, Sanaz A1 - Shaffer, Christian M. A1 - Strauch, Konstantin A1 - Szymczak, Silke A1 - Taylor, Kent D. A1 - Tremblay, Johanne A1 - Chaker, Layal A1 - van der Harst, Pim A1 - van der Most, Peter J. A1 - Verweij, Niek A1 - Voelker, Uwe A1 - Waldenberger, Melanie A1 - Wallentin, Lars A1 - Waterworth, Dawn M. A1 - White, Harvey D. A1 - Wilson, James G. A1 - Wong, Tien-Yin A1 - Woodward, Mark A1 - Yang, Qiong A1 - Yasuda, Masayuki A1 - Yerges-Armstrong, Laura M. A1 - Zhang, Yan A1 - Snieder, Harold A1 - Wanner, Christoph A1 - Boger, Carsten A. A1 - Kottgen, Anna A1 - Kronenberg, Florian A1 - Pattaro, Cristian A1 - Heid, Iris M. T1 - Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline T2 - Zweitveröffentlichungen der Universität Potsdam : Reihe der Digital Engineering Fakultät N2 - Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m(2)/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m(2) at follow-up among those with eGFRcrea 60 mL/min/1.73m(2) or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or (LARP4B). Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function. T3 - Zweitveröffentlichungen der Universität Potsdam : Reihe der Digital Engineering Fakultät - 19 KW - acute kidney injury KW - end-stage kidney disease KW - genome-wide association KW - study KW - rapid eGFRcrea decline Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-565379 IS - 19 ER - TY - JOUR A1 - Wuttke, Matthias A1 - Li, Yong A1 - Li, Man A1 - Sieber, Karsten B. A1 - Feitosa, Mary F. A1 - Gorski, Mathias A1 - Tin, Adrienne A1 - Wang, Lihua A1 - Chu, Audrey Y. A1 - Hoppmann, Anselm A1 - Kirsten, Holger A1 - Giri, Ayush A1 - Chai, Jin-Fang A1 - Sveinbjornsson, Gardar A1 - Tayo, Bamidele O. A1 - Nutile, Teresa A1 - Fuchsberger, Christian A1 - Marten, Jonathan A1 - Cocca, Massimiliano A1 - Ghasemi, Sahar A1 - Xu, Yizhe A1 - Horn, Katrin A1 - Noce, Damia A1 - Van der Most, Peter J. A1 - Sedaghat, Sanaz A1 - Yu, Zhi A1 - Akiyama, Masato A1 - Afaq, Saima A1 - Ahluwalia, Tarunveer Singh A1 - Almgren, Peter A1 - Amin, Najaf A1 - Arnlov, Johan A1 - Bakker, Stephan J. L. A1 - Bansal, Nisha A1 - Baptista, Daniela A1 - Bergmann, Sven A1 - Biggs, Mary L. A1 - Biino, Ginevra A1 - Boehnke, Michael A1 - Boerwinkle, Eric A1 - Boissel, Mathilde A1 - Böttinger, Erwin A1 - Boutin, Thibaud S. A1 - Brenner, Hermann A1 - Brumat, Marco A1 - Burkhardt, Ralph A1 - Butterworth, Adam S. A1 - Campana, Eric A1 - Campbell, Archie A1 - Campbell, Harry A1 - Canouil, Mickael A1 - Carroll, Robert J. A1 - Catamo, Eulalia A1 - Chambers, John C. A1 - Chee, Miao-Ling A1 - Chee, Miao-Li A1 - Chen, Xu A1 - Cheng, Ching-Yu A1 - Cheng, Yurong A1 - Christensen, Kaare A1 - Cifkova, Renata A1 - Ciullo, Marina A1 - Concas, Maria Pina A1 - Cook, James P. A1 - Coresh, Josef A1 - Corre, Tanguy A1 - Sala, Cinzia Felicita A1 - Cusi, Daniele A1 - Danesh, John A1 - Daw, E. Warwick A1 - De Borst, Martin H. A1 - De Grandi, Alessandro A1 - De Mutsert, Renee A1 - De Vries, Aiko P. J. A1 - Degenhardt, Frauke A1 - Delgado, Graciela A1 - Demirkan, Ayse A1 - Di Angelantonio, Emanuele A1 - Dittrich, Katalin A1 - Divers, Jasmin A1 - Dorajoo, Rajkumar A1 - Eckardt, Kai-Uwe A1 - Ehret, Georg A1 - Elliott, Paul A1 - Endlich, Karlhans A1 - Evans, Michele K. A1 - Felix, Janine F. A1 - Foo, Valencia Hui Xian A1 - Franco, Oscar H. A1 - Franke, Andre A1 - Freedman, Barry I. A1 - Freitag-Wolf, Sandra A1 - Friedlander, Yechiel A1 - Froguel, Philippe A1 - Gansevoort, Ron T. A1 - Gao, He A1 - Gasparini, Paolo A1 - Gaziano, J. Michael A1 - Giedraitis, Vilmantas A1 - Gieger, Christian A1 - Girotto, Giorgia A1 - Giulianini, Franco A1 - Gogele, Martin A1 - Gordon, Scott D. A1 - Gudbjartsson, Daniel F. A1 - Gudnason, Vilmundur A1 - Haller, Toomas A1 - Hamet, Pavel A1 - Harris, Tamara B. A1 - Hartman, Catharina A. A1 - Hayward, Caroline A1 - Hellwege, Jacklyn N. A1 - Heng, Chew-Kiat A1 - Hicks, Andrew A. A1 - Hofer, Edith A1 - Huang, Wei A1 - Hutri-Kahonen, Nina A1 - Hwang, Shih-Jen A1 - Ikram, M. Arfan A1 - Indridason, Olafur S. A1 - Ingelsson, Erik A1 - Ising, Marcus A1 - Jaddoe, Vincent W. V. A1 - Jakobsdottir, Johanna A1 - Jonas, Jost B. A1 - Joshi, Peter K. A1 - Josyula, Navya Shilpa A1 - Jung, Bettina A1 - Kahonen, Mika A1 - Kamatani, Yoichiro A1 - Kammerer, Candace M. A1 - Kanai, Masahiro A1 - Kastarinen, Mika A1 - Kerr, Shona M. A1 - Khor, Chiea-Chuen A1 - Kiess, Wieland A1 - Kleber, Marcus E. A1 - Koenig, Wolfgang A1 - Kooner, Jaspal S. A1 - Korner, Antje A1 - Kovacs, Peter A1 - Kraja, Aldi T. A1 - Krajcoviechova, Alena A1 - Kramer, Holly A1 - Kramer, Bernhard K. A1 - Kronenberg, Florian A1 - Kubo, Michiaki A1 - Kuhnel, Brigitte A1 - Kuokkanen, Mikko A1 - Kuusisto, Johanna A1 - La Bianca, Martina A1 - Laakso, Markku A1 - Lange, Leslie A. A1 - Langefeld, Carl D. A1 - Lee, Jeannette Jen-Mai A1 - Lehne, Benjamin A1 - Lehtimaki, Terho A1 - Lieb, Wolfgang A1 - Lim, Su-Chi A1 - Lind, Lars A1 - Lindgren, Cecilia M. A1 - Liu, Jun A1 - Liu, Jianjun A1 - Loeffler, Markus A1 - Loos, Ruth J. F. A1 - Lucae, Susanne A1 - Lukas, Mary Ann A1 - Lyytikainen, Leo-Pekka A1 - Magi, Reedik A1 - Magnusson, Patrik K. E. A1 - Mahajan, Anubha A1 - Martin, Nicholas G. A1 - Martins, Jade A1 - Marz, Winfried A1 - Mascalzoni, Deborah A1 - Matsuda, Koichi A1 - Meisinger, Christa A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Metspalu, Andres A1 - Mikaelsdottir, Evgenia K. A1 - Milaneschi, Yuri A1 - Miliku, Kozeta A1 - Mishra, Pashupati P. A1 - Program, V. A. Million Veteran A1 - Mohlke, Karen L. A1 - Mononen, Nina A1 - Montgomery, Grant W. A1 - Mook-Kanamori, Dennis O. A1 - Mychaleckyj, Josyf C. A1 - Nadkarni, Girish N. A1 - Nalls, Mike A. A1 - Nauck, Matthias A1 - Nikus, Kjell A1 - Ning, Boting A1 - Nolte, Ilja M. A1 - Noordam, Raymond A1 - Olafsson, Isleifur A1 - Oldehinkel, Albertine J. A1 - Orho-Melander, Marju A1 - Ouwehand, Willem H. A1 - Padmanabhan, Sandosh A1 - Palmer, Nicholette D. A1 - Palsson, Runolfur A1 - Penninx, Brenda W. J. H. A1 - Perls, Thomas A1 - Perola, Markus A1 - Pirastu, Mario A1 - Pirastu, Nicola A1 - Pistis, Giorgio A1 - Podgornaia, Anna I. A1 - Polasek, Ozren A1 - Ponte, Belen A1 - Porteous, David J. A1 - Poulain, Tanja A1 - Pramstaller, Peter P. A1 - Preuss, Michael H. A1 - Prins, Bram P. A1 - Province, Michael A. A1 - Rabelink, Ton J. A1 - Raffield, Laura M. A1 - Raitakari, Olli T. A1 - Reilly, Dermot F. A1 - Rettig, Rainer A1 - Rheinberger, Myriam A1 - Rice, Kenneth M. A1 - Ridker, Paul M. A1 - Rivadeneira, Fernando A1 - Rizzi, Federica A1 - Roberts, David J. A1 - Robino, Antonietta A1 - Rossing, Peter A1 - Rudan, Igor A1 - Rueedi, Rico A1 - Ruggiero, Daniela A1 - Ryan, Kathleen A. A1 - Saba, Yasaman A1 - Sabanayagam, Charumathi A1 - Salomaa, Veikko A1 - Salvi, Erika A1 - Saum, Kai-Uwe A1 - Schmidt, Helena A1 - Schmidt, Reinhold A1 - Ben Schottker, A1 - Schulz, Christina-Alexandra A1 - Schupf, Nicole A1 - Shaffer, Christian M. A1 - Shi, Yuan A1 - Smith, Albert V. A1 - Smith, Blair H. A1 - Soranzo, Nicole A1 - Spracklen, Cassandra N. A1 - Strauch, Konstantin A1 - Stringham, Heather M. A1 - Stumvoll, Michael A1 - Svensson, Per O. A1 - Szymczak, Silke A1 - Tai, E-Shyong A1 - Tajuddin, Salman M. A1 - Tan, Nicholas Y. Q. A1 - Taylor, Kent D. A1 - Teren, Andrej A1 - Tham, Yih-Chung A1 - Thiery, Joachim A1 - Thio, Chris H. L. A1 - Thomsen, Hauke A1 - Thorleifsson, Gudmar A1 - Toniolo, Daniela A1 - Tonjes, Anke A1 - Tremblay, Johanne A1 - Tzoulaki, Ioanna A1 - Uitterlinden, Andre G. A1 - Vaccargiu, Simona A1 - Van Dam, Rob M. A1 - Van der Harst, Pim A1 - Van Duijn, Cornelia M. A1 - Edward, Digna R. Velez A1 - Verweij, Niek A1 - Vogelezang, Suzanne A1 - Volker, Uwe A1 - Vollenweider, Peter A1 - Waeber, Gerard A1 - Waldenberger, Melanie A1 - Wallentin, Lars A1 - Wang, Ya Xing A1 - Wang, Chaolong A1 - Waterworth, Dawn M. A1 - Bin Wei, Wen A1 - White, Harvey A1 - Whitfield, John B. A1 - Wild, Sarah H. A1 - Wilson, James F. A1 - Wojczynski, Mary K. A1 - Wong, Charlene A1 - Wong, Tien-Yin A1 - Xu, Liang A1 - Yang, Qiong A1 - Yasuda, Masayuki A1 - Yerges-Armstrong, Laura M. A1 - Zhang, Weihua A1 - Zonderman, Alan B. A1 - Rotter, Jerome I. A1 - Bochud, Murielle A1 - Psaty, Bruce M. A1 - Vitart, Veronique A1 - Wilson, James G. A1 - Dehghan, Abbas A1 - Parsa, Afshin A1 - Chasman, Daniel I. A1 - Ho, Kevin A1 - Morris, Andrew P. A1 - Devuyst, Olivier A1 - Akilesh, Shreeram A1 - Pendergrass, Sarah A. A1 - Sim, Xueling A1 - Boger, Carsten A. A1 - Okada, Yukinori A1 - Edwards, Todd L. A1 - Snieder, Harold A1 - Stefansson, Kari A1 - Hung, Adriana M. A1 - Heid, Iris M. A1 - Scholz, Markus A1 - Teumer, Alexander A1 - Kottgen, Anna A1 - Pattaro, Cristian T1 - A catalog of genetic loci associated with kidney function from analyses of a million individuals JF - Nature genetics N2 - Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through transancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these,147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research. Y1 - 2019 U6 - https://doi.org/10.1038/s41588-019-0407-x SN - 1061-4036 SN - 1546-1718 VL - 51 IS - 6 SP - 957 EP - + PB - Nature Publ. Group CY - New York ER - TY - JOUR A1 - Gorski, Mathias A1 - Jung, Bettina A1 - Li, Yong A1 - Matias-Garcia, Pamela R. A1 - Wuttke, Matthias A1 - Coassin, Stefan A1 - Thio, Chris H. L. A1 - Kleber, Marcus E. A1 - Winkler, Thomas W. A1 - Wanner, Veronika A1 - Chai, Jin-Fang A1 - Chu, Audrey Y. A1 - Cocca, Massimiliano A1 - Feitosa, Mary F. A1 - Ghasemi, Sahar A1 - Hoppmann, Anselm A1 - Horn, Katrin A1 - Li, Man A1 - Nutile, Teresa A1 - Scholz, Markus A1 - Sieber, Karsten B. A1 - Teumer, Alexander A1 - Tin, Adrienne A1 - Wang, Judy A1 - Tayo, Bamidele O. A1 - Ahluwalia, Tarunveer S. A1 - Almgren, Peter A1 - Bakker, Stephan J. L. A1 - Banas, Bernhard A1 - Bansal, Nisha A1 - Biggs, Mary L. A1 - Boerwinkle, Eric A1 - Böttinger, Erwin A1 - Brenner, Hermann A1 - Carroll, Robert J. A1 - Chalmers, John A1 - Chee, Miao-Li A1 - Chee, Miao-Ling A1 - Cheng, Ching-Yu A1 - Coresh, Josef A1 - de Borst, Martin H. A1 - Degenhardt, Frauke A1 - Eckardt, Kai-Uwe A1 - Endlich, Karlhans A1 - Franke, Andre A1 - Freitag-Wolf, Sandra A1 - Gampawar, Piyush A1 - Gansevoort, Ron T. A1 - Ghanbari, Mohsen A1 - Gieger, Christian A1 - Hamet, Pavel A1 - Ho, Kevin A1 - Hofer, Edith A1 - Holleczek, Bernd A1 - Foo, Valencia Hui Xian A1 - Hutri-Kahonen, Nina A1 - Hwang, Shih-Jen A1 - Ikram, M. Arfan A1 - Josyula, Navya Shilpa A1 - Kahonen, Mika A1 - Khor, Chiea-Chuen A1 - Koenig, Wolfgang A1 - Kramer, Holly A1 - Kraemer, Bernhard K. A1 - Kuehnel, Brigitte A1 - Lange, Leslie A. A1 - Lehtimaki, Terho A1 - Lieb, Wolfgang A1 - Loos, Ruth J. F. A1 - Lukas, Mary Ann A1 - Lyytikainen, Leo-Pekka A1 - Meisinger, Christa A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Milaneschi, Yuri A1 - Mishra, Pashupati P. A1 - Mononen, Nina A1 - Mychaleckyj, Josyf C. A1 - Nadkarni, Girish N. A1 - Nauck, Matthias A1 - Nikus, Kjell A1 - Ning, Boting A1 - Nolte, Ilja M. A1 - O'Donoghue, Michelle L. A1 - Orho-Melander, Marju A1 - Pendergrass, Sarah A. A1 - Penninx, Brenda W. J. H. A1 - Preuss, Michael H. A1 - Psaty, Bruce M. A1 - Raffield, Laura M. A1 - Raitakari, Olli T. A1 - Rettig, Rainer A1 - Rheinberger, Myriam A1 - Rice, Kenneth M. A1 - Rosenkranz, Alexander R. A1 - Rossing, Peter A1 - Rotter, Jerome A1 - Sabanayagam, Charumathi A1 - Schmidt, Helena A1 - Schmidt, Reinhold A1 - Schoettker, Ben A1 - Schulz, Christina-Alexandra A1 - Sedaghat, Sanaz A1 - Shaffer, Christian M. A1 - Strauch, Konstantin A1 - Szymczak, Silke A1 - Taylor, Kent D. A1 - Tremblay, Johanne A1 - Chaker, Layal A1 - van der Harst, Pim A1 - van der Most, Peter J. A1 - Verweij, Niek A1 - Voelker, Uwe A1 - Waldenberger, Melanie A1 - Wallentin, Lars A1 - Waterworth, Dawn M. A1 - White, Harvey D. A1 - Wilson, James G. A1 - Wong, Tien-Yin A1 - Woodward, Mark A1 - Yang, Qiong A1 - Yasuda, Masayuki A1 - Yerges-Armstrong, Laura M. A1 - Zhang, Yan A1 - Snieder, Harold A1 - Wanner, Christoph A1 - Boger, Carsten A. A1 - Kottgen, Anna A1 - Kronenberg, Florian A1 - Pattaro, Cristian A1 - Heid, Iris M. T1 - Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline JF - Kidney international : official journal of the International Society of Nephrology N2 - Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m(2)/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m(2) at follow-up among those with eGFRcrea 60 mL/min/1.73m(2) or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or (LARP4B). Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function. KW - acute kidney injury KW - end-stage kidney disease KW - genome-wide association KW - study KW - rapid eGFRcrea decline Y1 - 2020 U6 - https://doi.org/10.1016/j.kint.2020.09.030 SN - 0085-2538 SN - 1523-1755 VL - 99 IS - 4 SP - 926 EP - 939 PB - Elsevier CY - New York ER - TY - JOUR A1 - ´Cwiek-Kupczynska, Hanna A1 - Altmann, Thomas A1 - Arend, Daniel A1 - Arnaud, Elizabeth A1 - Chen, Dijun A1 - Cornut, Guillaume A1 - Fiorani, Fabio A1 - Frohmberg, Wojciech A1 - Junker, Astrid A1 - Klukas, Christian A1 - Lange, Matthias A1 - Mazurek, Cezary A1 - Nafissi, Anahita A1 - Neveu, Pascal A1 - van Oeveren, Jan A1 - Pommier, Cyril A1 - Poorter, Hendrik A1 - Rocca-Serra, Philippe A1 - Sansone, Susanna-Assunta A1 - Scholz, Uwe A1 - van Schriek, Marco A1 - Seren, Ümit A1 - Usadel, Bjorn A1 - Weise, Stephan A1 - Kersey, Paul A1 - Krajewski, Pawel T1 - Measures for interoperability of phenotypic data: minimum information requirements and formatting JF - Plant Methods N2 - Background: Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time-consuming experiments, the findings can be fostered by reusing and combining existing datasets. Their correct interpretation, and thus replicability, comparability and interoperability, is possible provided that the collected observations are equipped with an adequate set of metadata. So far there have been no common standards governing phenotypic data description, which hampered data exchange and reuse. Results: In this paper we propose the guidelines for proper handling of the information about plant phenotyping experiments, in terms of both the recommended content of the description and its formatting. We provide a document called "Minimum Information About a Plant Phenotyping Experiment", which specifies what information about each experiment should be given, and a Phenotyping Configuration for the ISA-Tab format, which allows to practically organise this information within a dataset. We provide examples of ISA-Tab-formatted phenotypic data, and a general description of a few systems where the recommendations have been implemented. Conclusions: Acceptance of the rules described in this paper by the plant phenotyping community will help to achieve findable, accessible, interoperable and reusable data. KW - Data standardisation and formatting KW - Experimental metadata KW - Minimum information recommendations KW - Plant phenotyping KW - Experiment description Y1 - 2016 U6 - https://doi.org/10.1186/s13007-016-0144-4 SN - 1746-4811 VL - 12 PB - BioMed Central CY - London ER - TY - JOUR A1 - Koetz, Joachim A1 - Bogen, Iris A1 - Heinze, Ute A1 - Heinze, Thomas A1 - Klemm, D. A1 - Lange, Silke A1 - Kulicke, Werner-Michael T1 - Kolloideigenschaften statistisch, blockartig und regioselektiv substituierter Carboxymethylcellulosen Y1 - 1998 SN - 0031-1340 ER - TY - JOUR A1 - Simons, Nadja K. A1 - Gossner, Martin M. A1 - Lewinsohn, Thomas M. A1 - Boch, Steffen A1 - Lange, Markus A1 - Müller, Jörg A1 - Pasalic, Esther A1 - Socher, Stephanie A. A1 - Türke, Manfred A1 - Fischer, Markus A1 - Weisser, Wolfgang W. T1 - Resource-mediated indirect effects of grassland management on arthropod diversity JF - PLoS one N2 - Intensive land use is a driving force for biodiversity decline in many ecosystems. In semi-natural grasslands, land-use activities such as mowing, grazing and fertilization affect the diversity of plants and arthropods, but the combined effects of different drivers and the chain of effects are largely unknown. In this study we used structural equation modelling to analyse how the arthropod communities in managed grasslands respond to land use and whether these responses are mediated through changes in resource diversity or resource quantity (biomass). Plants were considered resources for herbivores which themselves were considered resources for predators. Plant and arthropod (herbivores and predators) communities were sampled on 141 meadows, pastures and mown pastures within three regions in Germany in 2008 and 2009. Increasing land-use intensity generally increased plant biomass and decreased plant diversity, mainly through increasing fertilization. Herbivore diversity decreased together with plant diversity but showed no response to changes in plant biomass. Hence, land-use effects on herbivore diversity were mediated through resource diversity rather than quantity. Land-use effects on predator diversity were mediated by both herbivore diversity (resource diversity) and herbivore quantity (herbivore biomass), but indirect effects through resource quantity were stronger. Our findings highlight the importance of assessing both direct and indirect effects of land-use intensity and mode on different trophic levels. In addition to the overall effects, there were subtle differences between the different regions, pointing to the importance of regional land-use specificities. Our study underlines the commonly observed strong effect of grassland land use on biodiversity. It also highlights that mechanistic approaches help us to understand how different land-use modes affect biodiversity. Y1 - 2014 U6 - https://doi.org/10.1371/journal.pone.0107033 SN - 1932-6203 VL - 9 IS - 9 PB - PLoS CY - San Fransisco ER - TY - JOUR A1 - Koetz, Joachim A1 - Bogen, Iris A1 - Heinze, Thomas A1 - Heinze, Ute A1 - Kulicke, Werner-Michael A1 - Lange, Silke T1 - Pecularities in the physico-chemical behaviour of non-statistically substituted carboxymethylcelluloses Y1 - 2001 ER - TY - GEN A1 - Ćwiek-Kupczyńska, Hanna A1 - Altmann, Thomas A1 - Arend, Daniel A1 - Arnaud, Elizabeth A1 - Chen, Dijun A1 - Cornut, Guillaume A1 - Fiorani, Fabio A1 - Frohmberg, Wojciech A1 - Junker, Astrid A1 - Klukas, Christian A1 - Lange, Matthias A1 - Mazurek, Cezary A1 - Nafissi, Anahita A1 - Neveu, Pascal A1 - van Oeveren, Jan A1 - Pommier, Cyril A1 - Poorter, Hendrik A1 - Rocca-Serra, Philippe A1 - Sansone, Susanna-Assunta A1 - Scholz, Uwe A1 - van Schriek, Marco A1 - Seren, Ümit A1 - Usadel, Björn A1 - Weise, Stephan A1 - Kersey, Paul A1 - Krajewski, Paweł T1 - Measures for interoperability of phenotypic data BT - minimum information requirements and formatting T2 - Plant methods N2 - Background: Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time ‑consuming experiments, the findings can be fostered by reusing and combin‑ ing existing datasets. Their correct interpretation, and thus replicability, comparability and interoperability, is possible provided that the collected observations are equipped with an adequate set of metadata. So far there have been no common standards governing phenotypic data description, which hampered data exchange and reuse. Results: In this paper we propose the guidelines for proper handling of the information about plant phenotyping experiments, in terms of both the recommended content of the description and its formatting. We provide a docu‑ ment called “Minimum Information About a Plant Phenotyping Experiment”, which specifies what information about each experiment should be given, and a Phenotyping Configuration for the ISA ‑Tab format, which allows to practically organise this information within a dataset. We provide examples of ISA ‑Tab ‑formatted phenotypic data, and a general description of a few systems where the recommendations have been implemented. Conclusions: Acceptance of the rules described in this paper by the plant phenotyping community will help to achieve findable, accessible, interoperable and reusable data. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 450 KW - data standardisation and formatting KW - experimental metadata KW - minimum information recommendations KW - plant phenotyping KW - experiment description Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-407299 ER - TY - JOUR A1 - Chen, Junchao A1 - Lange, Thomas A1 - Andjelkovic, Marko A1 - Simevski, Aleksandar A1 - Lu, Li A1 - Krstić, Miloš T1 - Solar particle event and single event upset prediction from SRAM-based monitor and supervised machine learning JF - IEEE transactions on emerging topics in computing / IEEE Computer Society, Institute of Electrical and Electronics Engineers N2 - The intensity of cosmic radiation may differ over five orders of magnitude within a few hours or days during the Solar Particle Events (SPEs), thus increasing for several orders of magnitude the probability of Single Event Upsets (SEUs) in space-borne electronic systems. Therefore, it is vital to enable the early detection of the SEU rate changes in order to ensure timely activation of dynamic radiation hardening measures. In this paper, an embedded approach for the prediction of SPEs and SRAM SEU rate is presented. The proposed solution combines the real-time SRAM-based SEU monitor, the offline-trained machine learning model and online learning algorithm for the prediction. With respect to the state-of-the-art, our solution brings the following benefits: (1) Use of existing on-chip data storage SRAM as a particle detector, thus minimizing the hardware and power overhead, (2) Prediction of SRAM SEU rate one hour in advance, with the fine-grained hourly tracking of SEU variations during SPEs as well as under normal conditions, (3) Online optimization of the prediction model for enhancing the prediction accuracy during run-time, (4) Negligible cost of hardware accelerator design for the implementation of selected machine learning model and online learning algorithm. The proposed design is intended for a highly dependable and self-adaptive multiprocessing system employed in space applications, allowing to trigger the radiation mitigation mechanisms before the onset of high radiation levels. KW - Machine learning KW - Single event upsets KW - Random access memory KW - monitoring KW - machine learning algorithms KW - predictive models KW - space missions KW - solar particle event KW - single event upset KW - machine learning KW - online learning KW - hardware accelerator KW - reliability KW - self-adaptive multiprocessing system Y1 - 2022 U6 - https://doi.org/10.1109/TETC.2022.3147376 SN - 2168-6750 VL - 10 IS - 2 SP - 564 EP - 580 PB - Institute of Electrical and Electronics Engineers CY - [New York, NY] ER - TY - JOUR A1 - Lange, Ilja A1 - Reiter, Sina A1 - Kniepert, Juliane A1 - Piersimoni, Fortunato A1 - Paetzel, Michael A1 - Hildebrandt, Jana A1 - Brenner, Thomas J. K. A1 - Hecht, Stefan A1 - Neher, Dieter T1 - Zinc oxide modified with benzylphosphonic acids as transparent electrodes in regular and inverted organic solar cell structures JF - Applied physics letters N2 - An approach is presented to modify the work function of solution-processed sol-gel derived zinc oxide (ZnO) over an exceptionally wide range of more than 2.3 eV. This approach relies on the formation of dense and homogeneous self-assembled monolayers based on phosphonic acids with different dipole moments. This allows us to apply ZnO as charge selective bottom electrodes in either regular or inverted solar cell structures, using poly(3-hexylthiophene): phenyl-C71-butyric acid methyl ester as the active layer. These devices compete with or even surpass the performance of the reference on indium tin oxide/poly(3,4-ethylenedioxythiophene) polystyrene sulfonate. Our findings highlight the potential of properly modified ZnO as electron or hole extracting electrodes in hybrid optoelectronic devices. (C) 2015 AIP Publishing LLC. Y1 - 2015 U6 - https://doi.org/10.1063/1.4916182 SN - 0003-6951 SN - 1077-3118 VL - 106 IS - 11 PB - American Institute of Physics CY - Melville ER - TY - JOUR A1 - Vi, Son Lang A1 - Trost, Gerda A1 - Lange, Peggy A1 - Czesnick, Hjördis A1 - Rao, Nishta A1 - Lieber, Diana A1 - Laux, Thomas A1 - Gray, William M. A1 - Manley, James L. A1 - Groth, Detlef A1 - Kappel, Christian A1 - Lenhard, Michael T1 - Target specificity among canonical nuclear poly(A) polymerases in plants modulates organ growth and pathogen response JF - PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA N2 - Polyadenylation of pre-mRNAs is critical for efficient nuclear export, stability, and translation of the mature mRNAs, and thus for gene expression. The bulk of pre-mRNAs are processed by canonical nuclear poly(A) polymerase (PAPS). Both vertebrate and higher-plant genomes encode more than one isoform of this enzyme, and these are coexpressed in different tissues. However, in neither case is it known whether the isoforms fulfill different functions or polyadenylate distinct subsets of pre-mRNAs. Here we show that the three canonical nuclear PAPS isoforms in Arabidopsis are functionally specialized owing to their evolutionarily divergent C-terminal domains. A strong loss-of-function mutation in PAPS1 causes a male gametophytic defect, whereas a weak allele leads to reduced leaf growth that results in part from a constitutive pathogen response. By contrast, plants lacking both PAPS2 and PAPS4 function are viable with wild-type leaf growth. Polyadenylation of SMALL AUXIN UP RNA (SAUR) mRNAs depends specifically on PAPS1 function. The resulting reduction in SAUR activity in paps1 mutants contributes to their reduced leaf growth, providing a causal link between polyadenylation of specific pre-mRNAs by a particular PAPS isoform and plant growth. This suggests the existence of an additional layer of regulation in plant and possibly vertebrate gene expression, whereby the relative activities of canonical nuclear PAPS isoforms control de novo synthesized poly(A) tail length and hence expression of specific subsets of mRNAs. Y1 - 2013 U6 - https://doi.org/10.1073/pnas.1303967110 SN - 0027-8424 VL - 110 IS - 34 SP - 13994 EP - 13999 PB - NATL ACAD SCIENCES CY - WASHINGTON ER - TY - JOUR A1 - Gossner, Martin M. A1 - Lewinsohn, Thomas M. A1 - Kahl, Tiemo A1 - Grassein, Fabrice A1 - Boch, Steffen A1 - Prati, Daniel A1 - Birkhofer, Klaus A1 - Renner, Swen C. A1 - Sikorski, Johannes A1 - Wubet, Tesfaye A1 - Arndt, Hartmut A1 - Baumgartner, Vanessa A1 - Blaser, Stefan A1 - Blüthgen, Nico A1 - Börschig, Carmen A1 - Buscot, Francois A1 - Diekötter, Tim A1 - Jorge, Leonardo Re A1 - Jung, Kirsten A1 - Keyel, Alexander C. A1 - Klein, Alexandra-Maria A1 - Klemmer, Sandra A1 - Krauss, Jochen A1 - Lange, Markus A1 - Müller, Jörg A1 - Overmann, Jörg A1 - Pasalic, Esther A1 - Penone, Caterina A1 - Perovic, David J. A1 - Purschke, Oliver A1 - Schall, Peter A1 - Socher, Stephanie A. A1 - Sonnemann, Ilja A1 - Tschapka, Marco A1 - Tscharntke, Teja A1 - Türke, Manfred A1 - Venter, Paul Christiaan A1 - Weiner, Christiane N. A1 - Werner, Michael A1 - Wolters, Volkmar A1 - Wurst, Susanne A1 - Westphal, Catrin A1 - Fischer, Markus A1 - Weisser, Wolfgang W. A1 - Allan, Eric T1 - Land-use intensification causes multitrophic homogenization of grassland communities JF - Nature : the international weekly journal of science N2 - Land-use intensification is a major driver of biodiversity loss(1,2). Alongside reductions in local species diversity, biotic homogenization at larger spatial scales is of great concern for conservation. Biotic homogenization means a decrease in beta-diversity (the compositional dissimilarity between sites). Most studies have investigated losses in local (alpha)-diversity(1,3) and neglected biodiversity loss at larger spatial scales. Studies addressing beta-diversity have focused on single or a few organism groups (for example, ref. 4), and it is thus unknown whether land-use intensification homogenizes communities at different trophic levels, above-and belowground. Here we show that even moderate increases in local land-use intensity (LUI) cause biotic homogenization across microbial, plant and animal groups, both above- and belowground, and that this is largely independent of changes in alpha-diversity. We analysed a unique grassland biodiversity dataset, with abundances of more than 4,000 species belonging to 12 trophic groups. LUI, and, in particular, high mowing intensity, had consistent effects on beta-diversity across groups, causing a homogenization of soil microbial, fungal pathogen, plant and arthropod communities. These effects were nonlinear and the strongest declines in beta-diversity occurred in the transition from extensively managed to intermediate intensity grassland. LUI tended to reduce local alpha-diversity in aboveground groups, whereas the alpha-diversity increased in belowground groups. Correlations between the alpha-diversity of different groups, particularly between plants and their consumers, became weaker at high LUI. This suggests a loss of specialist species and is further evidence for biotic homogenization. The consistently negative effects of LUI on landscape-scale biodiversity underscore the high value of extensively managed grasslands for conserving multitrophic biodiversity and ecosystem service provision. Indeed, biotic homogenization rather than local diversity loss could prove to be the most substantial consequence of land-use intensification. Y1 - 2016 U6 - https://doi.org/10.1038/nature20575 SN - 0028-0836 SN - 1476-4687 VL - 540 SP - 266 EP - + PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Allan, Eric A1 - Bossdorf, Oliver A1 - Dormann, Carsten F. A1 - Prati, Daniel A1 - Gossner, Martin M. A1 - Tscharntke, Teja A1 - Blüthgen, Nico A1 - Bellach, Michaela A1 - Birkhofer, Klaus A1 - Boch, Steffen A1 - Böhm, Stefan A1 - Börschig, Carmen A1 - Chatzinotas, Antonis A1 - Christ, Sabina A1 - Daniel, Rolf A1 - Diekötter, Tim A1 - Fischer, Christiane A1 - Friedl, Thomas A1 - Glaser, Karin A1 - Hallmann, Christine A1 - Hodac, Ladislav A1 - Hölzel, Norbert A1 - Jung, Kirsten A1 - Klein, Alexandra-Maria A1 - Klaus, Valentin H. A1 - Kleinebecker, Till A1 - Krauss, Jochen A1 - Lange, Markus A1 - Morris, E. Kathryn A1 - Müller, Jörg A1 - Nacke, Heiko A1 - Pasalic, Esther A1 - Rillig, Matthias C. A1 - Rothenwoehrer, Christoph A1 - Schally, Peter A1 - Scherber, Christoph A1 - Schulze, Waltraud X. A1 - Socher, Stephanie A. A1 - Steckel, Juliane A1 - Steffan-Dewenter, Ingolf A1 - Türke, Manfred A1 - Weiner, Christiane N. A1 - Werner, Michael A1 - Westphal, Catrin A1 - Wolters, Volkmar A1 - Wubet, Tesfaye A1 - Gockel, Sonja A1 - Gorke, Martin A1 - Hemp, Andreas A1 - Renner, Swen C. A1 - Schöning, Ingo A1 - Pfeiffer, Simone A1 - König-Ries, Birgitta A1 - Buscot, Francois A1 - Linsenmair, Karl Eduard A1 - Schulze, Ernst-Detlef A1 - Weisser, Wolfgang W. A1 - Fischer, Markus T1 - Interannual variation in land-use intensity enhances grassland multidiversity JF - Proceedings of the National Academy of Sciences of the United States of America N2 - Although temporal heterogeneity is a well-accepted driver of biodiversity, effects of interannual variation in land-use intensity (LUI) have not been addressed yet. Additionally, responses to land use can differ greatly among different organisms; therefore, overall effects of land-use on total local biodiversity are hardly known. To test for effects of LUI (quantified as the combined intensity of fertilization, grazing, and mowing) and interannual variation in LUI (SD in LUI across time), we introduce a unique measure of whole-ecosystem biodiversity, multidiversity. This synthesizes individual diversity measures across up to 49 taxonomic groups of plants, animals, fungi, and bacteria from 150 grasslands. Multidiversity declined with increasing LUI among grasslands, particularly for rarer species and aboveground organisms, whereas common species and belowground groups were less sensitive. However, a high level of interannual variation in LUI increased overall multidiversity at low LUI and was even more beneficial for rarer species because it slowed the rate at which the multidiversity of rare species declined with increasing LUI. In more intensively managed grasslands, the diversity of rarer species was, on average, 18% of the maximum diversity across all grasslands when LUI was static over time but increased to 31% of the maximum when LUI changed maximally over time. In addition to decreasing overall LUI, we suggest varying LUI across years as a complementary strategy to promote biodiversity conservation. KW - biodiversity loss KW - agricultural grasslands KW - Biodiversity Exploratories Y1 - 2014 U6 - https://doi.org/10.1073/pnas.1312213111 SN - 0027-8424 VL - 111 IS - 1 SP - 308 EP - 313 PB - National Acad. of Sciences CY - Washington ER - TY - JOUR A1 - Kniepert, Juliane A1 - Lange, Ilja A1 - Heidbrink, Jan A1 - Kurpiers, Jona A1 - Brenner, Thomas J. K. A1 - Koster, L. Jan Anton A1 - Neher, Dieter T1 - Effect of Solvent Additive on Generation, Recombination, and Extraction in PTB7:PCBM Solar Cells: A Conclusive Experimental and Numerical Simulation Study JF - The journal of physical chemistry : C, Nanomaterials and interfaces N2 - Time-delayed collection field (TDCF), bias-assisted charge extraction (BACE), and space charge-limited current (SCLC) measurements are combined with complete numerical device simulations to unveil the effect of the solvent additive 1,8-diiodooctane (DIO) on the performance of PTB7:PCBM bulk heterojunction solar cells. DIO is shown to increase the charge generation rate, reduce geminate and bimolecular recombination, and increase the electron mobility. In total, the reduction of loss currents by processing with the additive raises the power conversion efficiency of the PTB7:PCBM blend by a factor of almost three. The lower generation rates and higher geminate recombination losses in devices without DIO are consistent with a blend morphology comprising large fullerene clusters embedded within a PTB7-rich matrix, while the low electron mobility suggests that these fullerene clusters are themselves composed of smaller pure fullerene aggregates separated by disordered areas. Our device simulations show unambiguously that the effect of the additive on the shape of the currentvoltage curve (J-V) cannot be ascribed to the variation of only the mobility, the recombination, or the field dependence of generation. It is only when the changes of all three parameters are taken into account that the simulation matches the experimental J-V characteristics under all illumination conditions and for a wide range of voltages. Y1 - 2015 U6 - https://doi.org/10.1021/jp512721e SN - 1932-7447 VL - 119 IS - 15 SP - 8310 EP - 8320 PB - American Chemical Society CY - Washington ER - TY - JOUR A1 - Chen, Junchao A1 - Lange, Thomas A1 - Andjelkovic, Milos A1 - Simevski, Aleksandar A1 - Krstić, Miloš T1 - Prediction of solar particle events with SRAM-based soft error rate monitor and supervised machine learning JF - Microelectronics reliability N2 - This work introduces an embedded approach for the prediction of Solar Particle Events (SPEs) in space applications by combining the real-time Soft Error Rate (SER) measurement with SRAM-based detector and the offline trained machine learning model. The proposed approach is intended for the self-adaptive fault-tolerant multiprocessing systems employed in space applications. With respect to the state-of-the-art, our solution allows for predicting the SER 1 h in advance and fine-grained hourly tracking of SER variations during SPEs as well as under normal conditions. Therefore, the target system can activate the appropriate mechanisms for radiation hardening before the onset of high radiation levels. Based on the comparison of five different machine learning algorithms trained with the public space flux database, the preliminary results indicate that the best prediction accuracy is achieved with the recurrent neural network (RNN) with long short-term memory (LSTM). Y1 - 2020 U6 - https://doi.org/10.1016/j.microrel.2020.113799 SN - 0026-2714 VL - 114 PB - Elsevier CY - Oxford ER -