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Institution

Kyushu University

EducationFukuoka, Japan
About: Kyushu University is a education organization based out in Fukuoka, Japan. It is known for research contribution in the topics: Population & Catalysis. The organization has 68284 authors who have published 135190 publications receiving 3055928 citations. The organization is also known as: Kyūshū Daigaku.
Topics: Population, Catalysis, Cancer, Gene, Hydrogen


Papers
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Journal ArticleDOI
TL;DR: The EarthCARE satellite mission as discussed by the authors provides global profiles of cloud, aerosol, precipitation, and associated radiative properties inferred from a combination of measurements made by collocated active and passive sensors.
Abstract: The collective representation within global models of aerosol, cloud, precipitation, and their radiative properties remains unsatisfactory. They constitute the largest source of uncertainty in predictions of climatic change and hamper the ability of numerical weather prediction models to forecast high-impact weather events. The joint ESA-JAXA EarthCARE satellite mission, scheduled for launch in 2017, will help to resolve these weaknesses by providing global profiles of cloud, aerosol, precipitation, and associated radiative properties inferred from a combination of measurements made by its collocated active and passive sensors. EarthCARE will improve our understanding of cloud and aerosol processes by extending the invaluable dataset acquired by the A-Train satellites CloudSat, CALIPSO, and Aqua. Specifically, EarthCARE's Cloud Profling Radar, with 7 dB more sensitivity than CloudSat, will detect more thin clouds and its Doppler capability will provide novel information on convection, precipitating ice particle and raindrop fall speeds. EarthCARE's 355-nm High Spectral Resolution Lidar will measure directly and accurately cloud and aerosol extinction and optical depth. Combining this with backscatter and polarization information should lead to an unprecedented ability to identify aerosol type. The Multi-Spectral Imager will provide a context for, and the ability to construct the cloud and aerosol distribution in 3D domains around the narrow 2D retrieved cross-section. The consistency of the retrievals will be assessed to within a target of ±10 W m−2 on the (10 km2) scale by comparing the multi-view Broad-Band Radiometer observations to the top-of-atmosphere fluxes estimated by 3D radiative transfer models acting on retrieved 3D domains.

421 citations

Journal ArticleDOI
TL;DR: A differential equation is derived which describes how the average frequency of each strategy on the graph changes over time, and is a replicator equation with a transformed payoff matrix, which results in a transformation of the payoff matrix.

421 citations

Journal ArticleDOI
TL;DR: This analysis shows that evolutionary stable exaggeration of female preference can be achieved if mutation pressure on the male character is biased, that is, mutation has a directional effect at this equilibrium female fitness is not maximized.
Abstract: Fisher's runaway process is the standard explanation of the evolution of exaggerated female preferences. But mathematical formulations of Fisher's process (haploid and additive diploid) show it cannot cause stable exaggeration if female preference carries a cost. At equilibrium female fitness must be maximized. Our analysis shows that evolutionary stable exaggeration of female preference can be achieved if mutation pressure on the male character is biased, that is, mutation has a directional effect. At this equilibrium female fitness is not maximized. We discuss the reasons and evidence for believing that mutation pressure is typically biased. Our analysis highlights the previously unacknowledged importance of biased mutation for sexual selection.

421 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed new universal scaling parameters for the dilemma strength, and proved universality by showing that the conditions for an ESS and the expressions for the internal equilibriums in an infinite, well-mixed population subjected to any of the five reciprocity mechanisms depend only on the new scaling parameters.

421 citations

Journal ArticleDOI
TL;DR: Findings strongly suggest that the PKC-dependent activation of NAD(P)H oxidase may be an essential mechanism responsible for increased oxidative stress in diabetes.
Abstract: Hyperglycemia seems to be an important causative factor in the development of micro- and macrovascular complications in patients with diabetes. Several hypotheses have been proposed to explain the adverse effects of hyperglycemia on vascular cells. Both protein kinase C (PKC) activation and oxidative stress theories have increasingly received attention in recent years. This article shows a PKC-dependent increase in oxidative stress in diabetic vascular tissues. High glucose level stimulated reactive oxygen species (ROS) production via a PKC-dependent activation of NAD(P)H oxidase in cultured aortic endothelial cells, smooth muscle cells, and renal mesangial cells. In addition, expression of NAD(P)H oxidase components were shown to be upregulated in vascular tissues and kidney from animal models of diabetes. Furthermore, several agents that were expected to block the mechanism of a PKC-dependent activation of NAD(P)H oxidase clearly inhibited the increased oxidative stress in diabetic animals, as assessed by in vivo electron spin resonance method. Taken together, these findings strongly suggest that the PKC-dependent activation of NAD(P)H oxidase may be an essential mechanism responsible for increased oxidative stress in diabetes.

420 citations


Authors

Showing all 68546 results

NameH-indexPapersCitations
Tony Hunter175593124726
Stanley B. Prusiner16874597528
Yang Yang1642704144071
Stephen J. Elledge162406112878
Takashi Taniguchi1522141110658
Andrew White1491494113874
Junji Tojo13587884615
Claude Leroy135117088604
Georges Azuelos134129490690
Susumu Oda13398180832
Lucie Gauthier13267964794
Hiroshi Sakamoto131125085363
Frank Caruso13164161748
Kiyotomo Kawagoe131140690819
Kozo Kaibuchi12949360461
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023137
2022480
20214,871
20205,014
20194,902
20184,570