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Institution

University of Antwerp

EducationAntwerp, Belgium
About: University of Antwerp is a education organization based out in Antwerp, Belgium. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 16682 authors who have published 48837 publications receiving 1689748 citations. The organization is also known as: Universiteit Antwerpen & UAntwerp.


Papers
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Journal ArticleDOI
TL;DR: In this article, an adjustment of the boxplot is presented that includes a robust measure of skewness in the determination of the whiskers, which results in a more accurate representation of the data and of possible outliers.

641 citations

Journal ArticleDOI
TL;DR: Data from 13 long-term (> 1 yr), field-based studies of the effects of elevated CO2 concentration on European forest tree species were analysed using meta-analysis and modelling and the synthesis will aid future modelling studies of responses of forest trees to elevated [CO2 ].
Abstract: • Data from 13 long-term (> 1 yr), field-based studies of the effects of elevated CO2 concentration ([CO2]) on European forest tree species were analysed using meta-analysis and modelling. Meta-analysis was used to determine mean responses across the data sets, and data were fitted to two commonly used models of stomatal conductance in order to explore response to environmental conditions and the relationship with assimilation. • Meta-analysis indicated a significant decrease (21%) in stomatal conductance in response to growth in elevated [CO2] across all studies. The response to [CO2] was significantly stronger in young trees than old trees, in deciduous compared to coniferous trees, and in water stressed compared to nutrient stressed trees. No evidence of acclimation of stomatal conductance to elevated [CO2] was found. • Fits of data to the first model showed that growth in elevated [CO2] did not alter the response of stomatal conductance to vapour pressure deficit, soil water content or atmospheric [CO2]. Fits of data to the second model indicated that conductance and assimilation responded in parallel to elevated [CO2] except when water was limiting. • Data were compared to a previous meta-analysis and it was found that the response of gs to elevated [CO2] was much more consistent in long-term (> 1 yr) studies, emphasising the need for long-term elevated [CO2] studies. By interpreting data in terms of models, the synthesis will aid future modelling studies of responses of forest trees to elevated [CO2].

641 citations

Journal ArticleDOI
TL;DR: The chemical composition of essential oils from 15 aromatic medicinal plant species growing in the Democratic Republic of Congo have been studied and results indicate that all essential oils inhibited the growth of selected bacteria at different extents.

634 citations

Journal ArticleDOI
Khachatryan, Albert M. Sirunyan, Armen Tumasyan, Wolfgang Adam  +2118 moreInstitutions (3)
TL;DR: In this article, the performance and strategies used in electron reconstruction and selection at CERN LHC are presented based on data corresponding to an integrated luminosity of 19.7 inverse femtobarns, collected in proton-proton collisions at sqrt(s) = 8 TeV.
Abstract: The performance and strategies used in electron reconstruction and selection at CMS are presented based on data corresponding to an integrated luminosity of 19.7 inverse femtobarns, collected in proton-proton collisions at sqrt(s) = 8 TeV at the CERN LHC. The paper focuses on prompt isolated electrons with transverse momenta ranging from about 5 to a few 100 GeV. A detailed description is given of the algorithms used to cluster energy in the electromagnetic calorimeter and to reconstruct electron trajectories in the tracker. The electron momentum is estimated by combining the energy measurement in the calorimeter with the momentum measurement in the tracker. Benchmark selection criteria are presented, and their performances assessed using Z, Upsilon, and J/psi decays into electron-positron pairs. The spectra of the observables relevant to electron reconstruction and selection as well as their global efficiencies are well reproduced by Monte Carlo simulations. The momentum scale is calibrated with an uncertainty smaller than 0.3%. The momentum resolution for electrons produced in Z boson decays ranges from 1.7 to 4.5%, depending on electron pseudorapidity and energy loss through bremsstrahlung in the detector material.

633 citations

Journal ArticleDOI
TL;DR: Simulations show that the ability to tune the average oxidation state of copper enables control over CO adsorption and dimerization, and makes it possible to implement a preference for the electrosynthesis of C2 products.
Abstract: The electrochemical reduction of CO2 to multi-carbon products has attracted much attention because it provides an avenue to the synthesis of value-added carbon-based fuels and feedstocks using renewable electricity Unfortunately, the efficiency of CO2 conversion to C2 products remains below that necessary for its implementation at scale Modifying the local electronic structure of copper with positive valence sites has been predicted to boost conversion to C2 products Here, we use boron to tune the ratio of Cuδ+ to Cu0 active sites and improve both stability and C2-product generation Simulations show that the ability to tune the average oxidation state of copper enables control over CO adsorption and dimerization, and makes it possible to implement a preference for the electrosynthesis of C2 products We report experimentally a C2 Faradaic efficiency of 79 ± 2% on boron-doped copper catalysts and further show that boron doping leads to catalysts that are stable for in excess of ~40 hours while electrochemically reducing CO2 to multi-carbon hydrocarbons

632 citations


Authors

Showing all 16957 results

NameH-indexPapersCitations
Cornelia M. van Duijn1831030146009
John Hardy1771178171694
Mark Gerstein168751149578
Hannes Jung1592069125069
Rui Zhang1512625107917
Dirk Inzé14964774468
Walter Paulus14980986252
Robin Erbacher1381721100252
Rupert Leitner136120190597
Alison Goate13672185846
Andrea Giammanco135136298093
Maria Spiropulu135145596674
Peter Robmann135143897569
Michael Tytgat134144994133
Matthew Herndon133173297466
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023137
2022460
20213,656
20203,332
20192,982
20182,844