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Institution

Humboldt University of Berlin

EducationBerlin, Germany
About: Humboldt University of Berlin is a education organization based out in Berlin, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 33671 authors who have published 61781 publications receiving 1908102 citations. The organization is also known as: Humboldt-Universität zu Berlin & Universitas Humboldtiana Berolinensis.


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Journal ArticleDOI
TL;DR: Using data simulation, the authors illustrate how the value of the chi-square test, the root-mean-square error of approximation, and the standardized root- mean-square residual are decreased when unique variances are increased although model misspecification is present.
Abstract: Fit indices are widely used in order to test the model fit for structural equation models. In a highly influential study, Hu and Bentler (1999) showed that certain cutoff values for these indices could be derived, which, over time, has led to the reification of these suggested thresholds as "golden rules" for establishing the fit or other aspects of structural equation models. The current study shows how differences in unique variances influence the value of the global chi-square model test and the most commonly used fit indices: Root-mean-square error of approximation, standardized root-mean-square residual, and the comparative fit index. Using data simulation, the authors illustrate how the value of the chi-square test, the root-mean-square error of approximation, and the standardized root-mean-square residual are decreased when unique variances are increased although model misspecification is present. For a broader understanding of the phenomenon, the authors used different sample sizes, number of observed variables per factor, and types of misspecification. A theoretical explanation is provided, and implications for the application of structural equation modeling are discussed.

296 citations

Journal ArticleDOI
TL;DR: The Potsdam Parallel Ice Sheet Model (PISM-PIK) as mentioned in this paper is a simulation model for large-scale ice sheet-shelf systems derived from the Bueler and Brown model.
Abstract: . We present the Potsdam Parallel Ice Sheet Model (PISM-PIK), developed at the Potsdam Institute for Climate Impact Research to be used for simulations of large-scale ice sheet-shelf systems. It is derived from the Parallel Ice Sheet Model (Bueler and Brown, 2009). Velocities are calculated by superposition of two shallow stress balance approximations within the entire ice covered region: the shallow ice approximation (SIA) is dominant in grounded regions and accounts for shear deformation parallel to the geoid. The plug-flow type shallow shelf approximation (SSA) dominates the velocity field in ice shelf regions and serves as a basal sliding velocity in grounded regions. Ice streams can be identified diagnostically as regions with a significant contribution of membrane stresses to the local momentum balance. All lateral boundaries in PISM-PIK are free to evolve, including the grounding line and ice fronts. Ice shelf margins in particular are modeled using Neumann boundary conditions for the SSA equations, reflecting a hydrostatic stress imbalance along the vertical calving face. The ice front position is modeled using a subgrid-scale representation of calving front motion (Albrecht et al., 2011) and a physically-motivated calving law based on horizontal spreading rates. The model is tested in experiments from the Marine Ice Sheet Model Intercomparison Project (MISMIP). A dynamic equilibrium simulation of Antarctica under present-day conditions is presented in Martin et al. (2011).

296 citations

Journal ArticleDOI
TL;DR: The first direct determination of the running top-quark mass based on the total cross section of top quark pair production as measured at the Tevatron was presented in this paper.
Abstract: We present the first direct determination of the running top-quark mass based on the total cross section of top-quark pair production as measured at the Tevatron Our theory prediction for the cross section includes various next-to-next-to-leading order QCD contributions, in particular, all logarithmically enhanced terms near threshold, the Coulomb corrections at two loops and all explicitly scale-dependent terms at next-to-next-to-leading order accuracy The result allows for an exact and independent variation of the renormalization and factorization scales For Tevatron and LHC we study its dependence on all scales, on the parton luminosity and on the top-quark mass using both the conventional pole mass definition as well as the running mass in the $\overline{\mathrm{MS}}$ scheme We extract for the top quark an $\overline{\mathrm{MS}}$ mass of $m(\ensuremath{\mu}=m)={1600}_{\ensuremath{-}32}^{+33}\text{ }\text{ }\mathrm{GeV}$, which corresponds to a pole mass of ${m}_{t}={1689}_{\ensuremath{-}34}^{+35}\text{ }\text{ }\mathrm{GeV}$

296 citations

Journal ArticleDOI
Daniel Lakens1, Federico Adolfi2, Federico Adolfi3, Casper J. Albers4, Farid Anvari5, Matthew A. J. Apps6, Shlomo Argamon7, Thom Baguley8, Raymond Becker9, Stephen D. Benning10, Daniel E. Bradford11, Erin Michelle Buchanan12, Aaron R. Caldwell13, Ben Van Calster14, Ben Van Calster15, Rickard Carlsson16, Sau-Chin Chen17, Bryan Chung18, Lincoln J. Colling19, Gary S. Collins6, Zander Crook20, Emily S. Cross21, Emily S. Cross22, Sameera Daniels, Henrik Danielsson23, Lisa M. DeBruine22, Daniel J. Dunleavy24, Brian D. Earp25, Michele I. Feist26, Jason D. Ferrell27, Jason D. Ferrell28, James G. Field29, Nicholas W. Fox30, Amanda Friesen31, Caio Gomes, Monica Gonzalez-Marquez32, James A. Grange33, Andrew P. Grieve, Robert Guggenberger34, James T. Grist19, Anne-Laura van Harmelen19, Fred Hasselman35, Kevin D. Hochard36, Mark R. Hoffarth37, Nicholas P. Holmes38, Michael Ingre39, Peder M. Isager23, Hanna K. Isotalus40, Christer Johansson41, Konrad Juszczyk42, David A. Kenny43, Ahmed A. Khalil44, Ahmed A. Khalil45, Ahmed A. Khalil3, Barbara Konat42, Junpeng Lao46, Erik Gahner Larsen47, Gerine M.A. Lodder4, Jiří Lukavský48, Christopher R. Madan38, David Manheim49, Stephen R. Martin50, Andrea E. Martin3, Andrea E. Martin20, Deborah G. Mayo51, Randy J. McCarthy52, Kevin McConway53, Colin McFarland, Amanda Q. X. Nio54, Gustav Nilsonne55, Gustav Nilsonne56, Gustav Nilsonne57, Cilene Lino de Oliveira58, Jean-Jacques Orban de Xivry14, Sam Parsons6, Gerit Pfuhl59, Kimberly A. Quinn60, John J. Sakon37, S. Adil Saribay61, Iris K. Schneider62, Manojkumar Selvaraju63, Zsuzsika Sjoerds15, Samuel G. Smith64, Tim Smits14, Jeffrey R. Spies65, Jeffrey R. Spies66, Vishnu Sreekumar67, Crystal N. Steltenpohl68, Neil Stenhouse11, Wojciech Świątkowski, Miguel A. Vadillo69, Marcel A.L.M. van Assen70, Marcel A.L.M. van Assen71, Matt N. Williams72, Samantha E Williams73, Donald R. Williams74, Tal Yarkoni28, Ignazio Ziano75, Rolf A. Zwaan39 
Eindhoven University of Technology1, National Scientific and Technical Research Council2, Max Planck Society3, University of Groningen4, Flinders University5, University of Oxford6, Illinois Institute of Technology7, Nottingham Trent University8, Bielefeld University9, University of Nevada, Las Vegas10, University of Wisconsin-Madison11, Missouri State University12, University of Arkansas13, Katholieke Universiteit Leuven14, Leiden University15, Linnaeus University16, Tzu Chi University17, University of British Columbia18, University of Cambridge19, University of Edinburgh20, Bangor University21, University of Glasgow22, Linköping University23, Florida State University24, Yale University25, University of Louisiana at Lafayette26, St. Edward's University27, University of Texas at Austin28, West Virginia University29, Rutgers University30, Indiana University31, RWTH Aachen University32, Keele University33, University of Tübingen34, Radboud University Nijmegen35, University of Chester36, New York University37, University of Nottingham38, Erasmus University Rotterdam39, University of Bristol40, Sahlgrenska University Hospital41, Adam Mickiewicz University in Poznań42, University of Connecticut43, Humboldt University of Berlin44, Charité45, University of Fribourg46, University of Kent47, Academy of Sciences of the Czech Republic48, RAND Corporation49, Baylor University50, Virginia Tech51, Northern Illinois University52, Open University53, King's College London54, Stockholm University55, Karolinska Institutet56, Stanford University57, Universidade Federal de Santa Catarina58, University of Tromsø59, DePaul University60, Boğaziçi University61, University of Cologne62, King Abdulaziz City for Science and Technology63, University of Leeds64, University of Virginia65, Center for Open Science66, National Institutes of Health67, University of Southern Indiana68, Autonomous University of Madrid69, Tilburg University70, Utrecht University71, Massey University72, Saint Louis University73, University of California, Davis74, Ghent University75
TL;DR: In response to recommendations to redefine statistical significance to P ≤ 0.005, it is proposed that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.
Abstract: In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.

296 citations

Journal ArticleDOI
TL;DR: In this article, a chlorine intercalated mesoporous metal-free graphitic carbon nitride (g-C3N4) was used for photocatalytic applications.
Abstract: Metal-free graphitic carbon nitride (g-C3N4) shows tremendous potentials in energy and environmental domains. Nonetheless, amelioration on the crystal configuration, electronic structure and microstructure of g-C3N4 for high-performing visible-light photocatalysis is still challenging and anticipated. Here we report the development of chlorine (Cl) intercalated g-C3N4 via co-pyrolysis of melamine and excessive ammonium chloride (excessive is very pivotal). This protocol renders not only Cl intercalation in the interlayer of g-C3N4, but also a homogeneous porous structure, thereby endowing g-C3N4 with multiple superiority effects, including significantly promoted charge migration by establishing interlayer pathway, up-shifted conduction-band level, narrowed band gap as well as enhanced surface area. The as-prepared Cl intercalated mesoporous g-C3N4 parades outstanding photocatalytic performance for water splitting into H2, CO2 reduction, liquid and air contaminants removal. The most enhanced photocatalytic performance was obtained at Cl-C3N4-3 for H2 evolution activity, which shows a 19.2-fold increase in contrast to pristine g-C3N4, accompanying with a high apparent quantum efficiency of 11.9% at 420 ± 15 nm. Experimental and DFT calculations results co-disclose that the aforementioned advantageous factors account for the profoundly boosted photooxidation and photoreduction capabilities of g-C3N4 under visible light. The present work may furnish a bottom-up tactic for integrally advancing g-C3N4, and also hold huge promise to be extended to other layered materials for photochemical or photoelectrochemical applications.

296 citations


Authors

Showing all 34115 results

NameH-indexPapersCitations
Karl J. Friston2171267217169
Peer Bork206697245427
Raymond J. Dolan196919138540
Stefan Schreiber1781233138528
Andreas Pfeiffer1491756131080
Thomas Hebbeker1481984114004
Thomas Lohse1481237101631
Jean Bousquet145128896769
Hermann Kolanoski145127996152
Josh Moss139101989255
R. D. Kass1381920107907
W. Kozanecki138149899758
U. Mallik137162597439
C. Haber135150798014
Christophe Royon134145390249
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023208
2022747
20214,727
20204,083
20193,579
20183,143