scispace - formally typeset
Search or ask a question
Institution

Université libre de Bruxelles

EducationBrussels, Belgium
About: Université libre de Bruxelles is a education organization based out in Brussels, Belgium. It is known for research contribution in the topics: Population & Breast cancer. The organization has 24974 authors who have published 56969 publications receiving 2084303 citations. The organization is also known as: ULB.


Papers
More filters
Journal ArticleDOI
M. G. Aartsen1, Markus Ackermann, Jenni Adams2, Juanan Aguilar3  +299 moreInstitutions (41)
TL;DR: Results from an analysis with a third year of data from the complete IceCube detector are consistent with the previously reported astrophysical flux in the 100 TeV-PeV range at the level of 10(-8) GeV cm-2 s-1 sr-1 per flavor and reject a purely atmospheric explanation for the combined three-year data at 5.7σ.
Abstract: A search for high-energy neutrinos interacting within the IceCube detector between 2010 and 2012 provided the first evidence for a high-energy neutrino flux of extraterrestrial origin. Results from an analysis using the same methods with a third year (2012-2013) of data from the complete IceCube detector are consistent with the previously reported astrophysical flux in the 100 TeV-PeV range at the level of 10(-8) GeV cm(-2) s(-1) sr(-1) per flavor and reject a purely atmospheric explanation for the combined three-year data at 5.7 sigma. The data are consistent with expectations for equal fluxes of all three neutrino flavors and with isotropic arrival directions, suggesting either numerous or spatially extended sources. The three-year data set, with a live time of 988 days, contains a total of 37 neutrino candidate events with deposited energies ranging from 30 to 2000 TeV. The 2000-TeV event is the highest-energy neutrino interaction ever observed.

1,183 citations

Journal ArticleDOI
TL;DR: Understanding the control exerted by cytokines on T helper cell subsets 1 and 2 (TH1-TH2) development has progressed to a fairly satisfying knowledge of intracellular signals and transcription factors.
Abstract: Understanding the control exerted by cytokines on T helper cell subsets 1 and 2 (TH1-TH2) development has progressed to a fairly satisfying knowledge of intracellular signals and transcription factors. Less is understood about the molecular basis of TH1-TH2 development exerted by other parameters, such as how the antigen presenting cell can influence this process. Recent work suggests that dendritic cell subsets contribute significant polarizing influences on T helper differentiation, but how this comes about is less clear. In some cases known pathways may be used, as in the dendritic cell subset 1 exerting TH1 polarization by interleukin 12 (IL-12) production and STAT4 activation. In others, the effects are still in need of explanation.

1,177 citations

Journal ArticleDOI
TL;DR: In this article, the internal patterns of competence building in the multinational enterprise (MNE), with a focus on the creation of capabilities in its foreign subsidiaries, are discussed, and a new framework is presented to synthesize 10 types of MNE-subsidiary linkages leading to capability development.
Abstract: This paper discusses the internal patterns of competence building in the multinational enterprise (MNE), with a focus on the creation of capabilities in its foreign subsidiaries We present a new framework to synthesize 10 types of MNE–subsidiary linkages leading to capability development We find that several of the 10 capability development processes are associated with subsidiary-specific advantages We discuss the process of subsidiary-specific advantage development within the organizational structure of the MNE when it is a differentiated network of dispersed operations Copyright © 2001 John Wiley & Sons, Ltd

1,176 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Matthew Abernathy3  +978 moreInstitutions (112)
TL;DR: The first observational run of the Advanced LIGO detectors, from September 12, 2015 to January 19, 2016, saw the first detections of gravitational waves from binary black hole mergers as discussed by the authors.
Abstract: The first observational run of the Advanced LIGO detectors, from September 12, 2015 to January 19, 2016, saw the first detections of gravitational waves from binary black hole mergers. In this paper we present full results from a search for binary black hole merger signals with total masses up to 100M⊙ and detailed implications from our observations of these systems. Our search, based on general-relativistic models of gravitational wave signals from binary black hole systems, unambiguously identified two signals, GW150914 and GW151226, with a significance of greater than 5σ over the observing period. It also identified a third possible signal, LVT151012, with substantially lower significance, which has a 87% probability of being of astrophysical origin. We provide detailed estimates of the parameters of the observed systems. Both GW150914 and GW151226 provide an unprecedented opportunity to study the two-body motion of a compact-object binary in the large velocity, highly nonlinear regime. We do not observe any deviations from general relativity, and place improved empirical bounds on several high-order post-Newtonian coefficients. From our observations we infer stellar-mass binary black hole merger rates lying in the range 9−240Gpc−3yr−1. These observations are beginning to inform astrophysical predictions of binary black hole formation rates, and indicate that future observing runs of the Advanced detector network will yield many more gravitational wave detections.

1,172 citations

Journal ArticleDOI
TL;DR: It is proposed to quantify SGS by an ‘Sp’ statistic primarily dependent upon the rate of decrease of pairwise kinship coefficients between individuals with the logarithm of the distance in two dimensions, and shown how the approach presented can be extended to assess (i) the level of biparental inbreeding, and (ii) the kurtosis of the gene dispersal distribution.
Abstract: Many empirical studies have assessed fine-scale spatial genetic structure (SGS), i.e. the nonrandom spatial distribution of genotypes, within plant populations using genetic markers and spatial autocorrelation techniques. These studies mostly provided qualitative descriptions of SGS, rendering quantitative comparisons among studies difficult. The theory of isolation by distance can predict the pattern of SGS under limited gene dispersal, suggesting new approaches, based on the relationship between pairwise relatedness coefficients and the spatial distance between individuals, to quantify SGS and infer gene dispersal parameters. Here we review the theory underlying such methods and discuss issues about their application to plant populations, such as the choice of the relatedness statistics, the sampling scheme to adopt, the procedure to test SGS, and the interpretation of spatial autocorrelograms. We propose to quantify SGS by an ‘ Sp ’ statistic primarily dependent upon the rate of decrease of pairwise kinship coefficients between individuals with the logarithm of the distance in two dimensions. Under certain conditions, this statistic estimates the reciprocal of the neighbourhood size. Reanalysing data from, mostly, published studies, the Sp statistic was assessed for 47 plant species. It was found to be significantly related to the mating system (higher in selfing species) and to the life form (higher in herbs than trees), as well as to the population density (higher under low density). We discuss the necessity for comparing SGS with direct estimates of gene dispersal distances, and show how the approach presented can be extended to assess (i) the level of biparental inbreeding, and (ii) the kurtosis of the gene dispersal distribution.

1,154 citations


Authors

Showing all 25206 results

NameH-indexPapersCitations
Karl J. Friston2171267217169
Yi Chen2174342293080
David Miller2032573204840
Jing Wang1844046202769
H. S. Chen1792401178529
Jie Zhang1784857221720
Jasvinder A. Singh1762382223370
D. M. Strom1763167194314
J. N. Butler1722525175561
Andrea Bocci1722402176461
Bradley Cox1692150156200
Marc Weber1672716153502
Hongfang Liu1662356156290
Guenakh Mitselmakher1651951164435
Yang Yang1642704144071
Network Information
Related Institutions (5)
University of Paris
174.1K papers, 5M citations

96% related

Utrecht University
139.3K papers, 6.2M citations

93% related

University of Amsterdam
140.8K papers, 5.9M citations

93% related

Centre national de la recherche scientifique
382.4K papers, 13.6M citations

93% related

Sapienza University of Rome
155.4K papers, 4.3M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023119
2022411
20213,194
20203,051
20192,751
20182,609