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Institution

Paul Sabatier University

EducationToulouse, France
About: Paul Sabatier University is a education organization based out in Toulouse, France. It is known for research contribution in the topics: Population & Adipose tissue. The organization has 15431 authors who have published 23386 publications receiving 858364 citations.


Papers
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Journal ArticleDOI
TL;DR: The pharmacological and molecular evidence that supports the functional role of beta3-adrenoceptors in cardiovasculartissues of various species, including humans, will be discussed and might provide new insights into the understanding of the abnormal responsiveness of the cardiovascular system to catecholamines in heart failure and its treatment with beta2- adrenoceptor antagonists.

185 citations

Journal ArticleDOI
TL;DR: The possibility that using social information or not is not a binary decision is addressed and results of a study showing that nutmeg mannikins combine both sources of information, a condition that can lead to the establishment of informational cascades are presented.
Abstract: Research on social learning has focused traditionally on whether animals possess the cognitive ability to learn novel motor patterns from tutors. More recently, social learning has included the use of others as sources of inadvertent social information. This type of social learning seems more taxonomically widespread and its use can more readily be approached as an economic decision. Social sampling information, however, can be tricky to use and calls for a more lucid appraisal of its costs. In this four-part review, we address these costs. Firstly, we address the possibility that only a fraction of group members are actually providing social information at any one time. Secondly, we review experimental research which shows that animals are circumspect about social information use. Thirdly, we consider the cases where social information can lead to incorrect decisions and finally, we review studies investigating the effect of social information quality. We address the possibility that using social information or not is not a binary decision and present results of a study showing that nutmeg mannikins combine both sources of information, a condition that can lead to the establishment of informational cascades. We discuss the importance of empirically investigating the economics of social information use.

185 citations

Journal ArticleDOI
TL;DR: A dual-approach, quantifying the relative contribution of each environmental factor, appears particularly useful to understand the spatial distribution of stream fish species, which is crucial to accurately predict species distribution modifications in the current context of global change.
Abstract: – The relative influence of temperature versus local physical factors on the spatial distribution of riverine fish species was investigated in a large watershed of south-western France. Using generalised additive models and hierarchical partitioning, we modelled the ecological responses of 28 fish species to a set of five environmental predictors, and we quantified the independent effect of each predictor. The spatial distribution of fish species was primarily determined by both mean temperature and position along the upstream–downstream gradient. However, responses to these environmental factors varied according to the species considered. Fish species with strong thermal requirements (e.g., common carp, black bullhead, Atlantic salmon) were mainly sensitive to temperature whereas longitudinal gradient was of primary importance for downstream species (e.g., common bream, largemouth bass, pike perch). Both the statistical methods used gave concordant results and appeared complementary. This dual-approach, quantifying the relative contribution of each environmental factor, appears particularly useful to understand the spatial distribution of stream fish species. Separating the effects of temperature versus habitat factors is crucial to accurately predict species distribution modifications in the current context of global change.

185 citations

Journal ArticleDOI
TL;DR: In this article, steady state forsterite dissolution rates were measured as a function of aqueous magnesium and silica concentrations, and temperatures from 25°C to 65°C.

185 citations

Proceedings ArticleDOI
P. Soffitta, R. Bellazzini1, Enrico Bozzo2, Vadim Burwitz  +418 moreInstitutions (132)
TL;DR: The X-ray Imaging Polarimetry Explorer (XIPE) as discussed by the authors is a mission dedicated to Xray Astronomy which is in a competitive phase A as fourth medium size mission of ESA (M4).
Abstract: XIPE, the X-ray Imaging Polarimetry Explorer, is a mission dedicated to X-ray Astronomy. At the time of writing XIPE is in a competitive phase A as fourth medium size mission of ESA (M4). It promises to reopen the polarimetry window in high energy Astrophysics after more than 4 decades thanks to a detector that efficiently exploits the photoelectric effect and to X-ray optics with large effective area. XIPE uniqueness is time-spectrally-spatially- resolved X-ray polarimetry as a breakthrough in high energy astrophysics and fundamental physics. Indeed the payload consists of three Gas Pixel Detectors at the focus of three X-ray optics with a total effective area larger than one XMM mirror but with a low weight. The payload is compatible with the fairing of the Vega launcher. XIPE is designed as an observatory for X-ray astronomers with 75 % of the time dedicated to a Guest Observer competitive program and it is organized as a consortium across Europe with main contributions from Italy, Germany, Spain, United Kingdom, Poland, Sweden.

185 citations


Authors

Showing all 15486 results

NameH-indexPapersCitations
Yury Gogotsi171956144520
Tobin J. Marks1591621111604
L. Montier13840397094
Jean-Paul Kneib13880589287
Olivier Forni13754895819
J. Aumont13129995006
Julian I. Schroeder12031550323
Bruno Vellas118101170667
Christopher G. Goetz11665159510
Didier Dubois11374254741
Alain Dufresne11135845904
Henri Prade10891754583
Louis Bernatchez10656835682
Walter Wahli10536549372
Patrice D. Cani10037049523
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
202293
2021759
2020753
2019728
2018622