Institution
Radboud University Nijmegen
Education•Nijmegen, Gelderland, Netherlands•
About: Radboud University Nijmegen is a education organization based out in Nijmegen, Gelderland, Netherlands. It is known for research contribution in the topics: Population & Context (language use). The organization has 35417 authors who have published 83035 publications receiving 3285064 citations. The organization is also known as: Catholic University of Nijmegen & Radboud University.
Papers published on a yearly basis
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Katrina L. Grasby1, Neda Jahanshad2, Jodie N. Painter1, Lucía Colodro-Conde3 +356 more•Institutions (115)
TL;DR: Results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness and find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function.
Abstract: The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
436 citations
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Radboud University Nijmegen1, University of Iowa2, Philips3, Siemens4, French Institute for Research in Computer Science and Automation5, École Centrale Paris6, University of Copenhagen7, Elekta8, University of Oxford9, University College London10, McGill University11, University of Lübeck12, Katholieke Universiteit Leuven13, University of Pennsylvania14, University of Virginia15, Leiden University16, Erasmus University Rotterdam17, Graz University of Technology18
TL;DR: The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.
Abstract: EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010) is a public platform for fair and meaningful comparison of registration algorithms which are applied to a database of intra patient thoracic CT image pairs. Evaluation of nonrigid registration techniques is a nontrivial task. This is compounded by the fact that researchers typically test only on their own data, which varies widely. For this reason, reliable assessment and comparison of different registration algorithms has been virtually impossible in the past. In this work we present the results of the launch phase of EMPIRE10, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups. All algorithms are applied to the same set of 30 thoracic CT pairs. Algorithm settings and parameters are chosen by researchers expert in the con figuration of their own method and the evaluation is independent, using the same criteria for all participants. All results are published on the EMPIRE10 website (http://empire10.isi.uu.nl). The challenge remains ongoing and open to new participants. Full results from 24 algorithms have been published at the time of writing. This paper details the organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms. The gain in knowledge and future work are discussed.
436 citations
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TL;DR: In this paper, a Fourier analysis of the charged particle pair distribution in relative azimuthal angle (Delta phi = phi(a)-phi(b)) is performed to extract the coefficients v(n,n) =.
Abstract: Differential measurements of charged particle azimuthal anisotropy are presented for lead-lead collisions at root sNN = 2.76 TeV with the ATLAS detector at the LHC, based on an integrated luminosity of approximately 8 mu b(-1). This anisotropy is characterized via a Fourier expansion of the distribution of charged particles in azimuthal angle relative to the reaction plane, with the coefficients v(n) denoting the magnitude of the anisotropy. Significant v(2)-v(6) values are obtained as a function of transverse momentum (0.5 = 3 are found to vary weakly with both eta and centrality, and their p(T) dependencies are found to follow an approximate scaling relation, v(n)(1/n)(p(T)) proportional to v(2)(1/2)(p(T)), except in the top 5% most central collisions. A Fourier analysis of the charged particle pair distribution in relative azimuthal angle (Delta phi = phi(a)-phi(b)) is performed to extract the coefficients v(n,n) = . For pairs of charged particles with a large pseudorapidity gap (|Delta eta = eta(a) - eta(b)| > 2) and one particle with p(T) < 3 GeV, the v(2,2)-v(6,6) values are found to factorize as v(n,n)(p(T)(a), p(T)(b)) approximate to v(n) (p(T)(a))v(n)(p(T)(b)) in central and midcentral events. Such factorization suggests that these values of v(2,2)-v(6,6) are primarily attributable to the response of the created matter to the fluctuations in the geometry of the initial state. A detailed study shows that the v(1,1)(p(T)(a), p(T)(b)) data are consistent with the combined contributions from a rapidity-even v(1) and global momentum conservation. A two-component fit is used to extract the v(1) contribution. The extracted v(1) isobserved to cross zero at pT approximate to 1.0 GeV, reaches a maximum at 4-5 GeV with a value comparable to that for v(3), and decreases at higher p(T).
435 citations
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University of Cambridge1, Mansfield University of Pennsylvania2, Imperial College London3, Fritz Haber Institute of the Max Planck Society4, University of Graz5, University of Bonn6, University of Southampton7, Radboud University Nijmegen8, Princeton University9, Panjab University, Chandigarh10, Tulane University11, University of Toronto12, Carnegie Mellon University13, Cornell University14, Utrecht University15, OpenEye Scientific Software16, University of Utah17, Facultad de Ciencias Exactas y Naturales18, Toyohashi University of Technology19, University College London20, Polaris Industries21, University of Silesia in Katowice22, Argonne National Laboratory23, Rutgers University24, University of Luxembourg25, Max Planck Society26, New York University Shanghai27, Courant Institute of Mathematical Sciences28, New York University29, Loyola University Chicago30
TL;DR: The results of the sixth blind test of organic crystal structure prediction methods are presented and discussed, highlighting progress for salts, hydrates and bulky flexible molecules, as well as on-going challenges.
Abstract: The sixth blind test of organic crystal structure prediction (CSP) methods has been held, with five target systems: a small nearly rigid molecule, a polymorphic former drug candidate, a chloride salt hydrate, a co-crystal and a bulky flexible molecule. This blind test has seen substantial growth in the number of participants, with the broad range of prediction methods giving a unique insight into the state of the art in the field. Significant progress has been seen in treating flexible molecules, usage of hierarchical approaches to ranking structures, the application of density-functional approximations, and the establishment of new workflows and `best practices' for performing CSP calculations. All of the targets, apart from a single potentially disordered Z' = 2 polymorph of the drug candidate, were predicted by at least one submission. Despite many remaining challenges, it is clear that CSP methods are becoming more applicable to a wider range of real systems, including salts, hydrates and larger flexible molecules. The results also highlight the potential for CSP calculations to complement and augment experimental studies of organic solid forms.
435 citations
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TL;DR: This work proposes a hypothesis that integrates growth inhibition and growth stimulation into one biphasic ethylene response model, and highlights several mechanisms through which ethylene affects plant growth, thereby interacting with various other signal transduction routes.
435 citations
Authors
Showing all 35749 results
Name | H-index | Papers | Citations |
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Charles A. Dinarello | 190 | 1058 | 139668 |
Richard H. Friend | 169 | 1182 | 140032 |
Yang Gao | 168 | 2047 | 146301 |
Ian J. Deary | 166 | 1795 | 114161 |
David T. Felson | 153 | 861 | 133514 |
Margaret A. Pericak-Vance | 149 | 826 | 118672 |
Fernando Rivadeneira | 146 | 628 | 86582 |
Shah Ebrahim | 146 | 733 | 96807 |
Mihai G. Netea | 142 | 1170 | 86908 |
Mingshui Chen | 141 | 1543 | 125369 |
George Alverson | 140 | 1653 | 105074 |
Barry Blumenfeld | 140 | 1909 | 105694 |
Harvey B Newman | 139 | 1594 | 88308 |
Tariq Aziz | 138 | 1646 | 96586 |
Stylianos E. Antonarakis | 138 | 746 | 93605 |