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 & Randomized controlled trial. 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
Papers
More filters
••
Radboud University Nijmegen1, University of Southern California2, University Medical Center Groningen3, QIMR Berghofer Medical Research Institute4, Utrecht University5, National Institutes of Health6, Harvard University7, Broad Institute8, University of Bergen9, Region Zealand10, Cincinnati Children's Hospital Medical Center11, University of California, Irvine12, University of California, San Diego13, University of Tübingen14, University of Würzburg15, Trinity College, Dublin16, New York University17, King's College London18, Heidelberg University19, Federal University of Rio de Janeiro20, University of California, Los Angeles21, Nathan Kline Institute for Psychiatric Research22, MIND Institute23, Otto-von-Guericke University Magdeburg24, Maastricht University25, Goethe University Frankfurt26, Haukeland University Hospital27, Beth Israel Deaconess Medical Center28, VU University Amsterdam29, Autonomous University of Barcelona30, State University of New York Upstate Medical University31
TL;DR: Lifespan analyses suggest that, in the absence of well powered longitudinal studies, the ENIGMA cross-sectional sample across six decades of ages provides a means to generate hypotheses about lifespan trajectories in brain phenotypes.
749 citations
••
TL;DR: Identification of optimal machine-learning methods for radiomic applications is a crucial step towards stable and clinically relevant radiomic biomarkers, providing a non-invasive way of quantifying and monitoring tumor-phenotypic characteristics in clinical practice.
Abstract: Radiomics extracts and mines large number of medical imaging features quantifying tumor phenotypic characteristics Highly accurate and reliable machine-learning approaches can drive the success of radiomic applications in clinical care In this radiomic study, fourteen feature selection methods and twelve classification methods were examined in terms of their performance and stability for predicting overall survival A total of 440 radiomic features were extracted from pre-treatment computed tomography (CT) images of 464 lung cancer patients To ensure the unbiased evaluation of different machine-learning methods, publicly available implementations along with reported parameter configurations were used Furthermore, we used two independent radiomic cohorts for training (n = 310 patients) and validation (n = 154 patients) We identified that Wilcoxon test based feature selection method WLCX (stability = 084 ± 005, AUC = 065 ± 002) and a classification method random forest RF (RSD = 352%, AUC = 066 ± 003) had highest prognostic performance with high stability against data perturbation Our variability analysis indicated that the choice of classification method is the most dominant source of performance variation (3421% of total variance) Identification of optimal machine-learning methods for radiomic applications is a crucial step towards stable and clinically relevant radiomic biomarkers, providing a non-invasive way of quantifying and monitoring tumor-phenotypic characteristics in clinical practice
749 citations
••
TL;DR: A review of new developments in theoretical and experimental electronic-structure investigations of half-metallic ferromagnets (HMFs) is presented in this article, where the effects of electron-magnon interaction in HMFs and their manifestations in magnetic, spectral, thermodynamic, and transport properties are considered.
Abstract: A review of new developments in theoretical and experimental electronic-structure investigations of half-metallic ferromagnets (HMFs) is presented. Being semiconductors for one spin projection and metals for another, these substances are promising magnetic materials for applications in spintronics (i.e., spin-dependent electronics). Classification of HMFs by the peculiarities of their electronic structure and chemical bonding is discussed. The effects of electron-magnon interaction in HMFs and their manifestations in magnetic, spectral, thermodynamic, and transport properties are considered. Special attention is paid to the appearance of nonquasiparticle states in the energy gap, which provide an instructive example of essentially many-body features in the electronic structure. State-of-the-art electronic calculations for correlated d-systems are discussed, and results for specific HMFs (Heusler alloys, zinc-blende structure compounds, CrO2, and Fe3O4) are reviewed.
748 citations
••
Katholieke Universiteit Leuven1, University of Bologna2, Royal Prince Alfred Hospital3, University of California, Davis4, University of Milan5, Radboud University Nijmegen6, Scripps Health7, Curie Institute8, University of Amsterdam9, Medical University of Vienna10, Newcastle University11, University of Padua12, Ludwig Maximilian University of Munich13, Virginia Commonwealth University14, Utrecht University15, Autonomous University of Barcelona16, Université de Montréal17, University of Birmingham18, University Health Network19, Erasmus University Rotterdam20, University of Gothenburg21, Intercept Pharmaceuticals22
TL;DR: Obeticholic acid administered with ursodiol or as monotherapy for 12 months in patients with primary biliary cholangitis resulted in decreases from baseline in alkaline phosphatase and total bilirubin levels that differed significantly from the changes observed with placebo.
Abstract: Background Primary biliary cholangitis (formerly called primary biliary cirrhosis) can progress to cirrhosis and death despite ursodiol therapy. Alkaline phosphatase and bilirubin levels correlate with the risk of liver transplantation or death. Obeticholic acid, a farnesoid X receptor agonist, has shown potential benefit in patients with this disease. Methods In this 12-month, double-blind, placebo-controlled, phase 3 trial, we randomly assigned 217 patients who had an inadequate response to ursodiol or who found the side effects of ursodiol unacceptable to receive obeticholic acid at a dose of 10 mg (the 10-mg group), obeticholic acid at a dose of 5 mg with adjustment to 10 mg if applicable (the 5-10-mg group), or placebo. The primary end point was an alkaline phosphatase level of less than 1.67 times the upper limit of the normal range, with a reduction of at least 15% from baseline, and a normal total bilirubin level. Results Of 216 patients who underwent randomization and received at least one dose of obeticholic acid or placebo, 93% received ursodiol as background therapy. The primary end point occurred in more patients in the 5-10-mg group (46%) and the 10-mg group (47%) than in the placebo group (10%; P Conclusions Obeticholic acid administered with ursodiol or as monotherapy for 12 months in patients with primary biliary cholangitis resulted in decreases from baseline in alkaline phosphatase and total bilirubin levels that differed significantly from the changes observed with placebo. There were more serious adverse events with obeticholic acid. (Funded by Intercept Pharmaceuticals; POISE ClinicalTrials.gov number, NCT01473524; Current Controlled Trials number, ISRCTN89514817.).
747 citations
••
TL;DR: A large-scale study with Dutch and Korean speakers of L2 English tested whether LexTALE, a 5-min vocabulary test, is a valid predictor of English vocabulary knowledge and, possibly, even of general English proficiency and showed that it was generally superior to self-ratings in its predictions.
Abstract: The increasing number of experimental studies on second language (L2) processing, frequently with English as the L2, calls for a practical and valid measure of English vocabulary knowledge and proficiency. In a large-scale study with Dutch and Korean speakers of L2 English, we tested whether LexTALE, a 5-min vocabulary test, is a valid predictor of English vocabulary knowledge and, possibly, even of general English proficiency. Furthermore, the validity of LexTALE was compared with that of self-ratings of proficiency, a measure frequently used by L2 researchers. The results showed the following in both speaker groups: (1) LexTALE was a good predictor of English vocabulary knowledge; 2) it also correlated substantially with a measure of general English proficiency; and 3) LexTALE was generally superior to self-ratings in its predictions. LexTALE, but not self-ratings, also correlated highly with previous experimental data on two word recognition paradigms. The test can be carried out on or downloaded from www.lextale.com.
745 citations
Authors
Showing all 35749 results
Name | H-index | Papers | Citations |
---|---|---|---|
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 |