Institution
University of Lorraine
Education•Nancy, France•
About: University of Lorraine is a education organization based out in Nancy, France. It is known for research contribution in the topics: Population & Context (language use). The organization has 11942 authors who have published 25010 publications receiving 425227 citations. The organization is also known as: Lorraine University.
Papers published on a yearly basis
Papers
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TL;DR: It is found that as the particle size decreases, minimum ignition temperature (MIT) and minimum ignition energy (MIE) decrease, indicating higher potential inflammation and explosion risks for the use of nanopowders.
177 citations
Baylor University Medical Center1, Imperial College London2, Charité3, University of Mississippi4, National and Kapodistrian University of Athens5, University of Lorraine6, University of London7, Veterans Health Administration8, University of Minnesota9, University of Florida10, San Francisco VA Medical Center11, University of California, San Diego12, Boehringer Ingelheim13
TL;DR: In patients with heart failure and a reduced ejection fraction, empagliflozin reduced the risk and total number of inpatient and outpatient worsening heart failure events, with benefits seen early after initiation of treatment and sustained for the duration of double-blind therapy.
Abstract: Background: Empagliflozin reduces the risk of cardiovascular death or hospitalization for heart failure in patients with heart failure and a reduced ejection fraction, with or without diabetes, but...
177 citations
National Institutes of Health1, Karolinska Institutet2, Broad Institute3, University of Gothenburg4, Charité5, Dalhousie University6, University of Cagliari7, University of Barcelona8, University of Geneva9, University of Chicago10, Portland VA Medical Center11, Dresden University of Technology12, University of Adelaide13, Paris Diderot University14, Medical University of Graz15, University of Pennsylvania16, University of California, San Diego17, Mayo Clinic18, Scripps Health19, University of California, San Francisco20, McGill University21, University of Basel22, University of Bonn23, University of Iowa24, Translational Genomics Research Institute25, Douglas Mental Health University Institute26, Johns Hopkins University27, Indiana University28, University of Paris29, Ludwig Maximilian University of Munich30, University of New South Wales31, Neuroscience Research Australia32, University of Göttingen33, Howard University34, University of Lorraine35, Goethe University Frankfurt36, Heidelberg University37, United States Department of Veterans Affairs38, University of Illinois at Chicago39, Seconda Università degli Studi di Napoli40, University of Cincinnati41, University of Michigan42, University of Salerno43, Washington University in St. Louis44, Rush University Medical Center45
TL;DR: A two-stage meta-analysis of GWAS of bipolar disorder patients and controls revealed genome-wide significant associations at two novel loci, adding to a growing list of common autosomal variants involved in BD and illustrating the power of comparing well-characterized cases to an excess of controls in GWAS.
Abstract: Bipolar disorder (BD) is a genetically complex mental illness characterized by severe oscillations of mood and behaviour. Genome-wide association studies (GWAS) have identified several risk loci that together account for a small portion of the heritability. To identify additional risk loci, we performed a two-stage meta-analysis of >9 million genetic variants in 9,784 bipolar disorder patients and 30,471 controls, the largest GWAS of BD to date. In this study, to increase power we used ∼2,000 lithium-treated cases with a long-term diagnosis of BD from the Consortium on Lithium Genetics, excess controls, and analytic methods optimized for markers on the X-chromosome. In addition to four known loci, results revealed genome-wide significant associations at two novel loci: an intergenic region on 9p21.3 (rs12553324, P = 5.87 × 10 - 9; odds ratio (OR) = 1.12) and markers within ERBB2 (rs2517959, P = 4.53 × 10 - 9; OR = 1.13). No significant X-chromosome associations were detected and X-linked markers explained very little BD heritability. The results add to a growing list of common autosomal variants involved in BD and illustrate the power of comparing well-characterized cases to an excess of controls in GWAS.
176 citations
15 Oct 2018
TL;DR: In this article, the authors provide the first comprehensive formal model of a protocol from the AKA family: 5G AKA, and conduct a full, systematic, security evaluation of the model with respect to the 5G security goals.
Abstract: Mobile communication networks connect much of the world's population. The security of users' calls, SMSs, and mobile data depends on the guarantees provided by the Authenticated Key Exchange protocols used. For the next-generation network (5G), the 3GPP group has standardized the 5G AKA protocol for this purpose. We provide the first comprehensive formal model of a protocol from the AKA family: 5G AKA. We also extract precise requirements from the 3GPP standards defining 5G and we identify missing security goals. Using the security protocol verification tool Tamarin, we conduct a full, systematic, security evaluation of the model with respect to the 5G security goals. Our automated analysis identifies the minimal security assumptions required for each security goal and we find that some critical security goals are not met, except under additional assumptions missing from the standard. Finally, we make explicit recommendations with provably secure fixes for the attacks and weaknesses we found.
176 citations
TL;DR: In this article, a review of the use of dye-sensitized nanoparticles (NPs) for heterogeneous photocatalysis related to water purification is considered, which covers the impact of several parameters on the photodegradation performances of various pollutants.
175 citations
Authors
Showing all 12161 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Jonathan I. Epstein | 138 | 1121 | 80975 |
| Peter Tugwell | 129 | 948 | 125480 |
| David Brown | 105 | 1257 | 46827 |
| Faiez Zannad | 103 | 839 | 90737 |
| Sabu Thomas | 102 | 1554 | 51366 |
| Francis Martin | 98 | 733 | 43991 |
| João F. Mano | 97 | 822 | 36401 |
| Jonathan A. Epstein | 94 | 299 | 27492 |
| Muhammad Imran | 94 | 3053 | 51728 |
| Laurent Peyrin-Biroulet | 90 | 901 | 34120 |
| Athanase Benetos | 83 | 391 | 31718 |
| Michel Marre | 82 | 444 | 39052 |
| Bruno Rossion | 80 | 337 | 21902 |
| Lyn March | 78 | 367 | 62536 |
| Alan J. M. Baker | 76 | 234 | 26080 |