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Institution

University of Luxembourg

EducationLuxembourg, Luxembourg
About: University of Luxembourg is a education organization based out in Luxembourg, Luxembourg. It is known for research contribution in the topics: Population & European union. The organization has 4744 authors who have published 22175 publications receiving 381824 citations.


Papers
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Journal ArticleDOI
TL;DR: This article used immigrants' age of entry as a proxy for where they acquired their education and proposed alternative brain drain measures that exclude immigrants who arrived before ages 12, 18, and 22.
Abstract: Recent data on international migration of skilled workers define skilled migrants by education level without distinguishing whether they acquired their education in the home or the host country. This article uses immigrants' age of entry as a proxy for where they acquired their education. Data on age of entry are available from a subset of receiving countries that together represent 77 percent of total skilled immigration to countries of the OECD (Organization for Economic Co-operation and Development). Using these data and a simple gravity model to estimate the age-of-entry structure of the remaining 23 percent, alternative brain drain measures are proposed that exclude immigrants who arrived before ages 12, 18, and 22.

122 citations

Journal ArticleDOI
TL;DR: This paper reports the experience on applying t-wise techniques for SPL with two independent toolsets developed by the authors, and derives useful insights for pairwise and t- Wise testing of product lines.
Abstract: Software Product Lines (SPL) are difficult to validate due to combinatorics induced by variability, which in turn leads to combinatorial explosion of the number of derivable products. Exhaustive testing in such a large products space is hardly feasible. Hence, one possible option is to test SPLs by generating test configurations that cover all possible t feature interactions (t-wise). It dramatically reduces the number of test products while ensuring reasonable SPL coverage. In this paper, we report our experience on applying t-wise techniques for SPL with two independent toolsets developed by the authors. One focuses on generality and splits the generation problem according to strategies. The other emphasizes providing efficient generation. To evaluate the respective merits of the approaches, measures such as the number of generated test configurations and the similarity between them are provided. By applying these measures, we were able to derive useful insights for pairwise and t-wise testing of product lines.

121 citations

Journal ArticleDOI
TL;DR: In this article, the authors measure stock market co-exeedances using quantile regressions and enable them to measure comovement at each point of the return distribution, and they explain these probabilities in a panel gravity model framework.
Abstract: We measure stock market co-exeedances using the methodology of Cappiello, Gerard and Manganelli (2005, ECB Working Paper 501). This method is based on quantile regressions and enables us to measure comovement at each point of the return distribution. First, we construct an annual co-exeedance probability for the 5, 10, 25, 75, 90 and 95 percent return quantiles using daily data from 1974-2006. Next, we explain these probabilities in a panel gravity model framework. This analysis shows that macroeconomic events asymmetrically influence comovement of upper and lower tail returns. Financial liberalization has a positive impact on comovement across the return distribution, but its effect is strongest on the left tail quantiles. Trade competition weakly impact the 5%, 10% and 95% quantiles, but has a stronger influence on the other quantiles. Industrial dissimilarity has a strong effect on both tails, but not on the 25% and 75% quantiles. Exchange rate volatilities have a strong effect only on the 5% and 10% quantiles. However, the introduction of the euro has its most pronounced effect on upper quantile comovement.

121 citations

Journal ArticleDOI
TL;DR: This paper applied a multiplexed, reduced genome sequencing strategy (restriction site−associated sequencing or RAD-seq) to genotype a large collection of S. cerevisiae strains isolated from a wide range of geographical locations and environmental niches, finding diversity among these strains is principally organized by geography, with European, North American, Asian, and African populations defining the major axes of genetic variation.
Abstract: The budding yeast Saccharomyces cerevisiae is important for human food production and as a model organism for biological research. The genetic diversity contained in the global population of yeast strains represents a valuable resource for a number of fields, including genetics, bioengineering, and studies of evolution and population structure. Here, we apply a multiplexed, reduced genome sequencing strategy (restriction site−associated sequencing or RAD-seq) to genotype a large collection of S. cerevisiae strains isolated from a wide range of geographical locations and environmental niches. The method permits the sequencing of the same 1% of all genomes, producing a multiple sequence alignment of 116,880 bases across 262 strains. We find diversity among these strains is principally organized by geography, with European, North American, Asian, and African/S. E. Asian populations defining the major axes of genetic variation. At a finer scale, small groups of strains from cacao, olives, and sake are defined by unique variants not present in other strains. One population, containing strains from a variety of fermentations, exhibits high levels of heterozygosity and a mixture of alleles from European and Asian populations, indicating an admixed origin for this group. We propose a model of geographic differentiation followed by human-associated admixture, primarily between European and Asian populations and more recently between European and North American populations. The large collection of genotyped yeast strains characterized here will provide a useful resource for the broad community of yeast researchers.

121 citations

Journal ArticleDOI
TL;DR: It is shown that a signature of the pseudomagnetic field is a local sublattice symmetry breaking observable as a redistribution of the local density of states in graphene, which can be interpreted as a polarization of graphene's pseudospin due to a strain induced pseudom magnetic field.
Abstract: One of the intriguing characteristics of honeycomb lattices is the appearance of a pseudomagnetic field as a result of mechanical deformation. In the case of graphene, the Landau quantization resulting from this pseudomagnetic field has been measured using scanning tunneling microscopy. Here we show that a signature of the pseudomagnetic field is a local sublattice symmetry breaking observable as a redistribution of the local density of states. This can be interpreted as a polarization of graphene’s pseudospin due to a strain induced pseudomagnetic field, in analogy to the alignment of a real spin in a magnetic field. We reveal this sublattice symmetry breaking by tunably straining graphene using the tip of a scanning tunneling microscope. The tip locally lifts the graphene membrane from a SiO2 support, as visible by an increased slope of the I(z) curves. The amount of lifting is consistent with molecular dynamics calculations, which reveal a deformed graphene area under the tip in the shape of a Gaussian...

121 citations


Authors

Showing all 4893 results

NameH-indexPapersCitations
Jun Wang1661093141621
Leroy Hood158853128452
Andreas Heinz108107845002
Philippe Dubois101109848086
John W. Berry9735152470
Michael Müller9133326237
Bart Preneel8284425572
Bjorn Ottersten81105828359
Sander Kersten7924623985
Alexandre Tkatchenko7727126863
Rudi Balling7523819529
Lionel C. Briand7538024519
Min Wang7271619197
Stephen H. Friend7018453422
Ekhard K. H. Salje7058119938
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202360
2022250
20211,671
20201,776
20191,710
20181,663