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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 & Nonlinear system. The organization has 11942 authors who have published 25010 publications receiving 425227 citations. The organization is also known as: Lorraine University.


Papers
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Journal ArticleDOI
TL;DR: The moderate value of the temperature-averaged relative expanded (confidence level of 95%) uncertainty of 17% on the mean of ZT is essential in establishing Co0.97Ni0.03Sb3 as a high temperature standard n-type thermoelectric material.
Abstract: A round robin test aiming at measuring the high-temperature thermoelectric properties was carried out by a group of European (mainly French) laboratories (labs). Polycrystalline skutterudite Co0.97 Ni 0.03Sb3 was characterized by Seebeck coefficient (8 labs), electrical resistivity (9 labs), thermal diffusivity (6 labs), mass volume density (6 labs), and specific heat (6 labs) measurements. These data were statistically processed to determine the uncertainty on all these measured quantities as a function of temperature and combined to obtain an overall uncertainty on the thermal conductivity (product of thermal diffusivity by density and by specific heat) and on the thermoelectric figure of merit ZT. An increase with temperature of all these uncertainties is observed, in agreement with growing difficulties to measure these quantities when temperature increases. The uncertainties on the electrical resistivity and thermal diffusivity are most likely dominated by the uncertainty on the sample dimensions. The temperature-averaged (300–700 K) relative standard uncertainties at the confidence level of 68% amount to 6%, 8%, 11%, and 19% for the Seebeck coefficient, electrical resistivity, thermal conductivity, and figure of merit ZT, respectively. Thermal conductivity measurements appear as the least accurate. The moderate value of the temperature-averaged relative expanded (confidence level of 95%) uncertainty of 17% on the mean of ZT is essential in establishing Co0.97 Ni 0.03Sb3 as a high temperature standard n-type thermoelectric material.

85 citations

Journal ArticleDOI
01 Jan 2020
TL;DR: In this article, a passive exoskeleton for arm support during overhead work is proposed to reduce shoulder strain, without requiring large scale reorganization of the workspace, which is a frequent cause of shoulder work-related musculoskeletal disorders.
Abstract: Overhead work is a frequent cause of shoulder work-related musculoskeletal disorders. Exoskeletons offering arm support have the potential to reduce shoulder strain, without requiring large scale reorganization of the workspace. Assessment of such systems however requires to take multiple factors into consideration. This paper presents a thorough in-lab assessment of PAEXO, a novel passive exoskeleton for arm support during overhead work. A list of evaluation criteria and associated performance metrics is proposed to cover both objective and subjective effects of the exoskeleton, on the user and on the task being performed. These metrics are measured during a lab study, where 12 participants perform an overhead pointing task with and without the exoskeleton, while their physical, physiological and psychological states are monitored. Results show that using PAEXO reduces shoulder physical strain as well as global physiological strain, without increasing low back strain nor degrading balance. These positive effects are achieved without degrading task performance. Importantly, participants’ opinions of PAEXO are positive, in agreement with the objective measures. Thus, PAEXO seems a promising solution to help prevent shoulder injuries and diseases among overhead workers, without negatively impacting productivity.

85 citations

Journal ArticleDOI
TL;DR: Thousands of genes encoding secreted proteins highly expressed during host infection have been reported for different rust species, which represents significant potential towards understanding rust effector function.
Abstract: Contents Summary 1190 I. Introduction 1190 II. Rust fungi: a diverse and serious threat to agriculture 1191 III. The different facets of rust life cycles and unresolved questions about their evolution 1191 IV. The biology of rust infection 1192 V. Rusts in the genomics era: the ever-expanding list of candidate effector genes 1195 VI. Functional characterization of rust effectors 1197 VII. Putting rusts to sleep: Pucciniales research outlooks 1201 Acknowledgements 1202 References 1202 SUMMARY: Rust fungi (Pucciniales) are the largest group of plant pathogens and represent one of the most devastating threats to agricultural crops worldwide. Despite the economic importance of these highly specialized pathogens, many aspects of their biology remain obscure, largely because rust fungi are obligate biotrophs. The rise of genomics and advances in high-throughput sequencing technology have presented new options for identifying candidate effector genes involved in pathogenicity mechanisms of rust fungi. Transcriptome analysis and integrated bioinformatics tools have led to the identification of key genetic determinants of host susceptibility to infection by rusts. Thousands of genes encoding secreted proteins highly expressed during host infection have been reported for different rust species, which represents significant potential towards understanding rust effector function. Recent high-throughput in planta expression screen approaches (effectoromics) have pushed the field ahead even further towards predicting high-priority effectors and identifying avirulence genes. These new insights into rust effector biology promise to inform future research and spur the development of effective and sustainable strategies for managing rust diseases.

85 citations

Journal ArticleDOI
TL;DR: Key aspects of standardization are discussed, including equipment used, number of chest zones assessed, the method of quantifying B‐lines, the presence and timing of additional investigations and the impact of therapy, to provide standardization in the preparation, review and analysis of manuscripts.
Abstract: Lung ultrasound is a useful tool for the assessment of patients with both acute and chronic heart failure, but the use of different image acquisition methods, inconsistent reporting of the technique employed and variable quantification of ‘B‐lines,’ have all made it difficult to compare published reports. We therefore need to ensure that future studies utilizing lung ultrasound in the assessment of heart failure adopt a standardized approach to reporting the quantification of pulmonary congestion. Strategies to improve patient care by use of lung ultrasound in the assessment of heart failure have been difficult to develop. In the present document, key aspects of standardization are discussed, including equipment used, number of chest zones assessed, the method of quantifying B‐lines, the presence and timing of additional investigations (e.g. natriuretic peptides and echocardiography) and the impact of therapy. This consensus report includes a checklist to provide standardization in the preparation, review and analysis of manuscripts. This will serve as a guide for investigators and clinicians and enhance the quality and transparency of lung ultrasound research.

85 citations

Journal Article
TL;DR: In this article, the authors describe all nontrivial nonnegative solutions to the problem of finding a nonnegative solution to the nonnegative problem in a half-space of the R √ n √ (n √ R) (n\geq3).
Abstract: We describe all nontrivial nonnegative solutions to the problem $-\Delta u=au^{(n+2)/(n-2)}$ in $H,\ \partial u/\partial u=bu^{n/(n-2)}$ on $\partial H$, where $H$ is a half-space of ${\bf R}^n\ (n\geq3)$.

85 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202375
2022477
20213,153
20202,987
20192,799
20182,593