scispace - formally typeset
Search or ask a question
Institution

University of Lorraine

EducationNancy, 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
More filters
Journal ArticleDOI
TL;DR: In this paper, the authors performed a Sobol' global sensitivity analysis of the Noah land surface model with multiple process options (Noah-MP) and identified 139 hard-coded parameters in the model code.
Abstract: Land surface models incorporate a large number of process descriptions, containing a multitude of parameters. These parameters are typically read from tabulated input files. Some of these parameters might be fixed numbers in the computer code though, which hinder model agility during calibration. Here we identified 139 hard-coded parameters in the model code of the Noah land surface model with multiple process options (Noah-MP). We performed a Sobol' global sensitivity analysis of Noah-MP for a specific set of process options, which includes 42 out of the 71 standard parameters and 75 out of the 139 hard-coded parameters. The sensitivities of the hydrologic output fluxes latent heat and total runoff as well as their component fluxes were evaluated at 12 catchments within the United States with very different hydrometeorological regimes. Noah-MP's hydrologic output fluxes are sensitive to two thirds of its applicable standard parameters (i.e., Sobol' indexes above 1%). The most sensitive parameter is, however, a hard-coded value in the formulation of soil surface resistance for direct evaporation, which proved to be oversensitive in other land surface models as well. Surface runoff is sensitive to almost all hard-coded parameters of the snow processes and the meteorological inputs. These parameter sensitivities diminish in total runoff. Assessing these parameters in model calibration would require detailed snow observations or the calculation of hydrologic signatures of the runoff data. Latent heat and total runoff exhibit very similar sensitivities because of their tight coupling via the water balance. A calibration of Noah-MP against either of these fluxes should therefore give comparable results. Moreover, these fluxes are sensitive to both plant and soil parameters. Calibrating, for example, only soil parameters hence limit the ability to derive realistic model parameters. It is thus recommended to include the most sensitive hard-coded model parameters that were exposed in this study when calibrating Noah-MP.

95 citations

Journal ArticleDOI
TL;DR: BAT was safe and significantly improved QOL, 6MHW, and NT-proBNP and the major adverse neurological or cardiovascular system or procedure-related event rate (MANCE).

95 citations

Journal ArticleDOI
TL;DR: Organic Compounds David Tilly,† Floris Chevallier,† Florence Mongin,*,† and Philippe C. Gros*,‡.
Abstract: Organic Compounds David Tilly,† Floris Chevallier,† Florence Mongin,*,† and Philippe C. Gros*,‡,§ †Equipe Chimie et Photonique Molećulaires, Institut des Sciences Chimiques de Rennes, UMR 6226 CNRS-Universite ́ de Rennes 1, Bat̂iment 10A, Case 1003, Campus de Beaulieu, Avenue du Geńeŕal Leclerc, 35042 Rennes Ced́ex, France ‡HECRIN, Universite ́ de Lorraine, SRSMC UMR 7565, Boulevard des Aiguillettes, 54506 Vandoeuvre-les̀-Nancy, France HECRIN, CNRS, SRSMC UMR 7565, Boulevard des Aiguillettes, 54506 Vandoeuvre-les̀-Nancy, France

95 citations

Journal ArticleDOI
TL;DR: A genomic and phylogenetic analysis of Cys-GSTs in photosynthetic organisms provides an updated classification and connection of GSTs with secondary metabolism may be interesting from a pharmacological perspective.
Abstract: Glutathione transferases (GSTs) represent a widespread multigenic enzyme family able to modify a broad range of molecules. These notably include secondary metabolites and exogenous substrates often ...

95 citations

Journal ArticleDOI
TL;DR: In this paper, the authors identify and better understand the factors that trigger and maintain the myocardial fibrotic response against different injuries in a variety of cardiac diseases, such as arrhythmias, and ischaemia, and thereby determine the clinical course and outcome of cardiac patients even when adequately treated.
Abstract: Myocardial fibrosis is the result of excessive fibrillar collagen synthesis and deposition without reciprocally balanced degradation. It causes cardiac dysfunction, arrhythmias, and ischaemia, and thereby determines the clinical course and outcome of cardiac patients even when adequately treated. Therefore, further research is needed to identify and better understand the factors that trigger and maintain the myocardial fibrotic response against different injuries in a variety of cardiac diseases. Here, we will focus on the following major areas of research: molecules that stimulate the differentiation of fibroblasts into myofibroblasts and subsequently alter collagen turnover (e.g. cardiotrophin-1, galectin-3, NADPH oxidases, and neutrophil gelatinase-associated lipocalin), microRNA-induced alterations of collagen gene expression, and matricellular protein- and lysyl oxidase-mediated alterations of collagen cross-linking and deposition.

95 citations


Authors

Showing all 12161 results

NameH-indexPapersCitations
Jonathan I. Epstein138112180975
Peter Tugwell129948125480
David Brown105125746827
Faiez Zannad10383990737
Sabu Thomas102155451366
Francis Martin9873343991
João F. Mano9782236401
Jonathan A. Epstein9429927492
Muhammad Imran94305351728
Laurent Peyrin-Biroulet9090134120
Athanase Benetos8339131718
Michel Marre8244439052
Bruno Rossion8033721902
Lyn March7836762536
Alan J. M. Baker7623426080
Network Information
Related Institutions (5)
University of Paris
174.1K papers, 5M citations

95% related

École Normale Supérieure
99.4K papers, 3M citations

94% related

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

94% related

École Polytechnique Fédérale de Lausanne
98.2K papers, 4.3M citations

94% related

National Research Council
76K papers, 2.4M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202375
2022478
20213,153
20202,987
20192,799
20182,593