Institution
University of Göttingen
Education•Göttingen, Germany•
About: University of Göttingen is a education organization based out in Göttingen, Germany. It is known for research contribution in the topics: Population & Gene. The organization has 43851 authors who have published 86318 publications receiving 3010295 citations. The organization is also known as: Georg-August-Universität Göttingen & Universität Göttingen.
Topics: Population, Gene, Species richness, Context (language use), Catalysis
Papers published on a yearly basis
Papers
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TL;DR: A revised classification for extant ferns is presented, with emphasis on ordinal and familial ranks, and a synopsis of included genera is provided, reflecting recently published phylogenetic hypotheses based on both morphological and molecular data.
Abstract: We present a revised classification for extant ferns, with emphasis on ordinal and familial ranks, and a synopsis of included genera. Our classification reflects recently published phylogenetic hypotheses based on both morphological and molecular data. Within our new classification, we recognize four monophyletic classes, 11 monophyletic orders, and 37 families, 32 of which are strongly supported as monophyletic. One new family, Cibotiaceae Korall, is described. The phylogenetic affinities of a few genera in the order Polypodiales are unclear and their familial placements are therefore tentative. Alphabetical lists of accepted genera (including common synonyms), families, orders, and taxa of higher rank are provided.
1,363 citations
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J. Craig Venter Institute1, Washington University in St. Louis2, Wellcome Trust Sanger Institute3, University of Manchester4, Complutense University of Madrid5, Tohoku University6, University of Nottingham7, Tulane University8, University of Kentucky9, Max Planck Society10, Spanish National Research Council11, University of Salamanca12, University of São Paulo13, Innsbruck Medical University14, University of Wisconsin-Madison15, University of Tokyo16, Nagoya University17, National Institute of Advanced Industrial Science and Technology18, Pasteur Institute19, University of Texas MD Anderson Cancer Center20, University of Idaho21, University of Lausanne22, University of Göttingen23, Tokyo University of Agriculture and Technology24, University of Sheffield25, Broad Institute26
TL;DR: The Af293 genome sequence provides an unparalleled resource for the future understanding of this remarkable fungus and revealed temperature-dependent expression of distinct sets of genes, as well as 700 A. fumigatus genes not present or significantly diverged in the closely related sexual species Neosartorya fischeri, many of which may have roles in the pathogenicity phenotype.
Abstract: Aspergillus fumigatus is exceptional among microorganisms in being both a primary and opportunistic pathogen as well as a major allergen. Its conidia production is prolific, and so human respiratory tract exposure is almost constant. A. fumigatus is isolated from human habitats and vegetable compost heaps. In immunocompromised individuals, the incidence of invasive infection can be as high as 50% and the mortality rate is often about 50% (ref. 2). The interaction of A. fumigatus and other airborne fungi with the immune system is increasingly linked to severe asthma and sinusitis. Although the burden of invasive disease caused by A. fumigatus is substantial, the basic biology of the organism is mostly obscure. Here we show the complete 29.4-megabase genome sequence of the clinical isolate Af293, which consists of eight chromosomes containing 9,926 predicted genes. Microarray analysis revealed temperature-dependent expression of distinct sets of genes, as well as 700 A. fumigatus genes not present or significantly diverged in the closely related sexual species Neosartorya fischeri, many of which may have roles in the pathogenicity phenotype. The Af293 genome sequence provides an unparalleled resource for the future understanding of this remarkable fungus.
1,356 citations
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TL;DR: The InTBIR Participants and Investigators have provided informed consent for the study to take place in Poland.
Abstract: Additional co-authors: Endre Czeiter, Marek Czosnyka, Ramon Diaz-Arrastia, Jens P Dreier, Ann-Christine Duhaime, Ari Ercole, Thomas A van Essen, Valery L Feigin, Guoyi Gao, Joseph Giacino, Laura E Gonzalez-Lara, Russell L Gruen, Deepak Gupta, Jed A Hartings, Sean Hill, Ji-yao Jiang, Naomi Ketharanathan, Erwin J O Kompanje, Linda Lanyon, Steven Laureys, Fiona Lecky, Harvey Levin, Hester F Lingsma, Marc Maegele, Marek Majdan, Geoffrey Manley, Jill Marsteller, Luciana Mascia, Charles McFadyen, Stefania Mondello, Virginia Newcombe, Aarno Palotie, Paul M Parizel, Wilco Peul, James Piercy, Suzanne Polinder, Louis Puybasset, Todd E Rasmussen, Rolf Rossaint, Peter Smielewski, Jeannette Soderberg, Simon J Stanworth, Murray B Stein, Nicole von Steinbuchel, William Stewart, Ewout W Steyerberg, Nino Stocchetti, Anneliese Synnot, Braden Te Ao, Olli Tenovuo, Alice Theadom, Dick Tibboel, Walter Videtta, Kevin K W Wang, W Huw Williams, Kristine Yaffe for the InTBIR Participants and Investigators
1,354 citations
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TL;DR: The authors bring together the results from these pharmacological, neurophysiological, and imaging studies to describe their current knowledge of the physiological effects of tDCS, and the theoretical framework for how tDCS affects motor learning is proposed.
Abstract: Since the rediscovery of transcranial direct current stimulation (tDCS) about 10 years ago, interest in tDCS has grown exponentially. A noninvasive stimulation technique that induces robust excitability changes within the stimulated cortex, tDCS is increasingly being used in proof-of-principle and stage IIa clinical trials in a wide range of neurological and psychiatric disorders. Alongside these clinical studies, detailed work has been performed to elucidate the mechanisms underlying the observed effects. In this review, the authors bring together the results from these pharmacological, neurophysiological, and imaging studies to describe their current knowledge of the physiological effects of tDCS. In addition, the theoretical framework for how tDCS affects motor learning is proposed.
1,353 citations
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26 Apr 1985TL;DR: A code-excited linear predictive coder in which the optimum innovation sequence is selected from a code book of stored sequences to optimize a given fidelity criterion, indicating that a random code book has a slight speech quality advantage at low bit rates.
Abstract: We describe in this paper a code-excited linear predictive coder in which the optimum innovation sequence is selected from a code book of stored sequences to optimize a given fidelity criterion. Each sample of the innovation sequence is filtered sequentially through two time-varying linear recursive filters, one with a long-delay (related to pitch period) predictor in the feedback loop and the other with a short-delay predictor (related to spectral envelope) in the feedback loop. We code speech, sampled at 8 kHz, in blocks of 5-msec duration. Each block consisting of 40 samples is produced from one of 1024 possible innovation sequences. The bit rate for the innovation sequence is thus 1/4 bit per sample. We compare in this paper several different random and deterministic code books for their effectiveness in providing the optimum innovation sequence in each block. Our results indicate that a random code book has a slight speech quality advantage at low bit rates. Examples of speech produced by the above method will be played at the conference.
1,343 citations
Authors
Showing all 44172 results
Name | H-index | Papers | Citations |
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Yang Gao | 168 | 2047 | 146301 |
J. S. Lange | 160 | 2083 | 145919 |
Jens J. Holst | 160 | 1536 | 107858 |
Hans Lassmann | 155 | 724 | 79933 |
Walter Paulus | 149 | 809 | 86252 |
Arnulf Quadt | 135 | 1409 | 123441 |
Elizaveta Shabalina | 133 | 1421 | 92273 |
Ernst Detlef Schulze | 133 | 670 | 69504 |
Mark Stitt | 132 | 456 | 60800 |
Meinrat O. Andreae | 131 | 700 | 72714 |
Teja Tscharntke | 130 | 520 | 70554 |
William C. Hahn | 130 | 448 | 72191 |
Vladimir Cindro | 129 | 1157 | 82000 |
Dave Britton | 129 | 1094 | 84187 |
Johannes Haller | 129 | 1178 | 84813 |