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Institution

Radboud University Nijmegen

EducationNijmegen, 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
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Journal ArticleDOI
TL;DR: Interleukin-1β/IL-18 processing during infection is a complex process in which the inflammasomes are only one of several activation mechanisms, and alternative mechanisms such as neutrophil-derived serine proteases or proteases released from microbial pathogens can process and activate IL-1 β.
Abstract: Stimulation and release of proinflammatory cytokines is an essential step for the activation of an effective innate host defense, and subsequently for the modulation of adaptive immune responses. Interleukin-1β (IL-1β) and IL-18 are important proinflammatory cytokines that on the one hand activate monocytes, macropages, and neutrophils, and on the other hand induce Th1 and Th17 adaptive cellular responses. They are secreted as inactive precursors, and the processing of pro-IL-1β and pro-IL-18 depends on cleavage by proteases. One of the most important of these enzymes is caspase-1, which in turn is activated by several protein platforms called the inflammasomes. Inflammasome activation differs in various cell types, and knock-out mice defective in either caspase-1 or inflammasome components have an increased susceptibility to several types of infections. However, in other infections and in models of sterile inflammation, caspase-1 seems to be less important, and alternative mechanisms such as neutrophil-derived serine proteases or proteases released from microbial pathogens can process and activate IL-1β. In conclusion, IL-1β/IL-18 processing during infection is a complex process in which the inflammasomes are only one of several activation mechanisms.

464 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3  +1215 moreInstitutions (134)
TL;DR: In this paper, the mass, spin, and redshift distributions of binary black hole (BBH) mergers with LIGO and Advanced Virgo observations were analyzed using phenomenological population models.
Abstract: We present results on the mass, spin, and redshift distributions with phenomenological population models using the 10 binary black hole (BBH) mergers detected in the first and second observing runs completed by Advanced LIGO and Advanced Virgo. We constrain properties of the BBH mass spectrum using models with a range of parameterizations of the BBH mass and spin distributions. We find that the mass distribution of the more massive BH in such binaries is well approximated by models with no more than 1% of BHs more massive than 45 M and a power-law index of (90% credibility). We also show that BBHs are unlikely to be composed of BHs with large spins aligned to the orbital angular momentum. Modeling the evolution of the BBH merger rate with redshift, we show that it is flat or increasing with redshift with 93% probability. Marginalizing over uncertainties in the BBH population, we find robust estimates of the BBH merger rate density of R= (90% credibility). As the BBH catalog grows in future observing runs, we expect that uncertainties in the population model parameters will shrink, potentially providing insights into the formation of BHs via supernovae, binary interactions of massive stars, stellar cluster dynamics, and the formation history of BHs across cosmic time.

464 citations

Journal Article
TL;DR: Some, but not all, multifaceted interventions are effective in inducing change in general practice, and social influence and management support can improve the effectiveness of information transfer, but information linked to performance does not necessarily do so.
Abstract: BACKGROUND: It is crucial that research findings are implemented in general practice if high-quality care is to be achieved. Multifaceted interventions are usually assumed to be more effective than single interventions, but this hypothesis has yet to be tested for general practice care. This review evaluates the effectiveness of interventions in influencing the implementation of guidelines and adoption of innovations in general practice. A systematic literature study was carried out using MEDLINE searches for the period from January 1980 until June 1994, and 21 medical journals were searched manually. Randomized controlled trials and controlled before and after studies (with pre- and post-intervention measurements in all groups) were selected for the analysis. Clinical area, interventions used, methodological characteristics and effects on clinical behaviour were noted independently by two researchers using a standardized scoring form. Of 143 studies found, 61 were selected for the analysis, covering 86 intervention groups that could be compared with a control group without the intervention. Information transfer alone was effective in two out of 18 groups, whereas combinations of information transfer and learning through social influence or management support were effective in four out of eight and three out of seven groups respectively. Information linked to performance was effective in 10 out of 15 groups, but the combination of information transfer and information linked to performance was effective in only three out of 20 groups. Some, but not all, multifaceted interventions are effective in inducing change in general practice. Social influence and management support can improve the effectiveness of information transfer, but information linked to performance does not necessarily do so. The variation in the effectiveness of interventions needs further analysis.

463 citations

Journal ArticleDOI
TL;DR: The New Gravitational-Wave Observatory (NGO) as discussed by the authors, a mission under study by the European Space Agency for launch in the early 2020s, will survey the low-frequency gravitational wave sky (from 0.1 mHz to 1 Hz), detecting and characterizing a broad variety of systems and events throughout the Universe, including the coalescences of massive black holes brought together by galaxy mergers, the inspirals of stellar-mass black holes and compact stars into central galactic black holes; several millions of ultra-compact binaries, both detached and mass transferring, in
Abstract: We review the expected science performance of the New Gravitational-Wave Observatory (NGO, a.k.a. eLISA), a mission under study by the European Space Agency for launch in the early 2020s. eLISA will survey the low-frequency gravitational-wave sky (from 0.1 mHz to 1 Hz), detecting and characterizing a broad variety of systems and events throughout the Universe, including the coalescences of massive black holes brought together by galaxy mergers; the inspirals of stellar-mass black holes and compact stars into central galactic black holes; several millions of ultra-compact binaries, both detached and mass transferring, in the Galaxy; and possibly unforeseen sources such as the relic gravitational-wave radiation from the early Universe. eLISA's high signal-to-noise measurements will provide new insight into the structure and history of the Universe, and they will test general relativity in its strong-field dynamical regime.

462 citations

Journal ArticleDOI
TL;DR: In this paper, Zanoni et al. presented a model of the Hasselt Universiteit Leuven and hasselt University, SEIN Ident Divers & Inequal Res, Fac Business Econ, B-3590 Diepenbeek, Belgium.
Abstract: [Zanoni, Patrizia] Hasselt Univ, SEIN Ident Divers & Inequal Res, Fac Business Econ, B-3590 Diepenbeek, Belgium. [Zanoni, Patrizia; Janssens, Maddy] Katholieke Univ Leuven, Fac Business & Econ, Res Ctr Org Studies, B-3000 Louvain, Belgium. [Benschop, Yvonne] Radboud Univ Nijmegen, Inst Management Res, NL-6500 HK Nijmegen, Netherlands. [Nkomo, Stella] Univ Pretoria, Fac Econ & Management Sci, Dept Human Resource Management, ZA-0002 Pretoria, South Africa. patrizia.zanoni@uhasselt.be; maddy.janssens@econ.kuleuven.be; Y.Benschop@fm.ru.nl; stella.nkomo@up.ac.za

462 citations


Authors

Showing all 35749 results

NameH-indexPapersCitations
Charles A. Dinarello1901058139668
Richard H. Friend1691182140032
Yang Gao1682047146301
Ian J. Deary1661795114161
David T. Felson153861133514
Margaret A. Pericak-Vance149826118672
Fernando Rivadeneira14662886582
Shah Ebrahim14673396807
Mihai G. Netea142117086908
Mingshui Chen1411543125369
George Alverson1401653105074
Barry Blumenfeld1401909105694
Harvey B Newman139159488308
Tariq Aziz138164696586
Stylianos E. Antonarakis13874693605
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023123
2022492
20216,380
20206,080
20195,747
20185,114