scispace - formally typeset
Search or ask a question
Institution

Université Paris-Saclay

EducationGif-sur-Yvette, France
About: Université Paris-Saclay is a education organization based out in Gif-sur-Yvette, France. It is known for research contribution in the topics: Population & Context (language use). The organization has 29307 authors who have published 43183 publications receiving 867404 citations.


Papers
More filters
Posted Content
TL;DR: In this article, a review of recent results concerning the estimation of large covariance matrices using tools from Random Matrix Theory (RMT) is presented, with an emphasis on the Marchenko-Pastur equation that provides information on the resolvent of multiplicatively corrupted noisy matrices.
Abstract: This review covers recent results concerning the estimation of large covariance matrices using tools from Random Matrix Theory (RMT). We introduce several RMT methods and analytical techniques, such as the Replica formalism and Free Probability, with an emphasis on the Marchenko-Pastur equation that provides information on the resolvent of multiplicatively corrupted noisy matrices. Special care is devoted to the statistics of the eigenvectors of the empirical correlation matrix, which turn out to be crucial for many applications. We show in particular how these results can be used to build consistent "Rotationally Invariant" estimators (RIE) for large correlation matrices when there is no prior on the structure of the underlying process. The last part of this review is dedicated to some real-world applications within financial markets as a case in point. We establish empirically the efficacy of the RIE framework, which is found to be superior in this case to all previously proposed methods. The case of additively (rather than multiplicatively) corrupted noisy matrices is also dealt with in a special Appendix. Several open problems and interesting technical developments are discussed throughout the paper.

163 citations

Journal ArticleDOI
TL;DR: Unraveling the mechanisms controlling (1)O(2) production and signaling would enable to investigate the interaction and sensitivity to other abiotic and biotic stress signals and thus allow to better understand why some stressors activate an acclimation, while others provoke a programmed cell death response.
Abstract: Significance: In photosynthetic organisms, excited chlorophylls (Chl) can stimulate the formation of singlet oxygen (1O2), a highly toxic molecule that acts in addition to its damaging nature as an important signaling molecule. Thus, due to this dual role of 1O2, its production and detoxification have to be strictly controlled. Recent Advances: Regulation of pigment synthesis is essential to control 1O2 production, and several components of the Chl synthesis and pigment insertion machineries to assemble and disassemble protein/pigment complexes have recently been identified. Once produced, 1O2 activates a signaling cascade from the chloroplast to the nucleus that can involve multiple mechanisms and stimulate a specific gene expression response. Further, 1O2 signaling was shown to interact with signal cascades of other reactive oxygen species, oxidized carotenoids, and lipid hydroperoxide-derived reactive electrophile species. Critical Issues: Despite recent progresses, hardly anything is known ab...

163 citations

Journal ArticleDOI
TL;DR: Findings are summarized that contribute to charting spatiotemporally heterogeneous gray and white matter structural development, offering MRI‐based biomarkers of typical brain development and setting the stage for understanding aberrant brain development in neurodevelopmental disorders.

163 citations

Journal ArticleDOI
29 Nov 2019-Science
TL;DR: In this paper, the authors used ionization spectroscopy and velocity-map imaging of a trapped gas of potassium-rubidium (KRb) molecules at a temperature of 500 nanokelvin.
Abstract: Femtochemistry techniques have been instrumental in accessing the short time scales necessary to probe transient intermediates in chemical reactions. In this study, we took the contrasting approach of prolonging the lifetime of an intermediate by preparing reactant molecules in their lowest rovibronic quantum state at ultralow temperatures, thereby markedly reducing the number of exit channels accessible upon their mutual collision. Using ionization spectroscopy and velocity-map imaging of a trapped gas of potassium-rubidium (KRb) molecules at a temperature of 500 nanokelvin, we directly observed reactants, intermediates, and products of the reaction 40K87Rb + 40K87Rb → K2Rb2* → K2 + Rb2. Beyond observation of a long-lived, energy-rich intermediate complex, this technique opens the door to further studies of quantum-state–resolved reaction dynamics in the ultracold regime.

163 citations

Journal ArticleDOI
10 Jun 2016-Science
TL;DR: The authors used fifth-order dielectric susceptibility measurements to show that the real reason behind the stiffness of glass is more complicated. But the emerging amorphous order is only weakly dependent on the specific molecular properties, suggesting a more universal governing behavior for making glasses The authors.
Abstract: Glasses are often thought of as frozen liquids without long-range order. Albert et al. used fifth-order dielectric susceptibility measurements to show that the real reason behind the stiffness of glass is more complicated. Measuring the response of two traditional glass formers to very high electric fields is challenging, but reveals the growth of compact domains across the glass transition. The emerging amorphous order is only weakly dependent on the specific molecular properties, suggesting a more universal governing behavior for making glasses. Science , this issue p. [1308][1] [1]: /lookup/doi/10.1126/science.aaf3182

163 citations


Authors

Showing all 29679 results

NameH-indexPapersCitations
Guido Kroemer2361404246571
Patrick O. Brown183755200985
Didier Raoult1733267153016
Sophie Henrot-Versille171957157040
Philippe Ciais149965114503
Stanislas Dehaene14945686539
Marc Humbert1491184100577
Jean Bousquet145128896769
Jean-François Cardoso145373115144
Marc Besancon1431799106869
Maksym Titov1391573128335
W. Kozanecki138149899758
Nabila Aghanim137416100914
Yves Sirois137133495714
Patrick Janot136148593626
Network Information
Related Institutions (5)
Centre national de la recherche scientifique
382.4K papers, 13.6M citations

96% related

ETH Zurich
122.4K papers, 5.1M citations

96% related

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

96% related

University of Paris
174.1K papers, 5M citations

95% related

Technische Universität München
123.4K papers, 4M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023214
2022735
20218,412
20208,032
20197,008
20186,458