Institution
University of California, Santa Cruz
Education•Santa Cruz, California, United States•
About: University of California, Santa Cruz is a education organization based out in Santa Cruz, California, United States. It is known for research contribution in the topics: Galaxy & Population. The organization has 15541 authors who have published 44120 publications receiving 2759983 citations. The organization is also known as: UCSC & UC, Santa Cruz.
Topics: Galaxy, Population, Stars, Redshift, Star formation
Papers published on a yearly basis
Papers
More filters
••
Rutgers University1, University of California, San Diego2, Georgia Institute of Technology3, Dalhousie University4, Woods Hole Oceanographic Institution5, Joint Institute for the Study of the Atmosphere and Ocean6, National Oceanic and Atmospheric Administration7, University of California, Los Angeles8, University of California, Santa Cruz9, University of California, Berkeley10, United States Geological Survey11
TL;DR: The combination of moderate-order spatial approximations, enhanced conservation properties, and quasi-monotone advection produces both more robust and accurate, and less diffusive, solutions than those produced in earlier terrain-following ocean models.
1,100 citations
••
Henry Ford Health System1, Harvard University2, Stanford University3, University of Hasselt4, University of Texas MD Anderson Cancer Center5, Nencki Institute of Experimental Biology6, École Polytechnique Fédérale de Lausanne7, Sage Bionetworks8, Université libre de Bruxelles9, Poznan University of Medical Sciences10, George Washington University11, Cold Spring Harbor Laboratory12, University of Kansas13, University of California, Santa Cruz14, University of North Carolina at Chapel Hill15, Van Andel Institute16
TL;DR: Novel stemness indices for assessing the degree of oncogenic dedifferentiation are provided and it is found that the dedifferentiated oncogenic phenotype was generally most prominent in metastatic tumors.
1,099 citations
••
TL;DR: The results indicated that both nucleation and fibril growth were controlled by hydrophobic and electrostatic interactions.
Abstract: In the search for the molecular mechanism of insulin fibrillation, the kinetics of insulin fibril formation were studied under different conditions using the fluorescent dye thioflavin T (ThT). The effect of insulin concentration, agitation, pH, ionic strength, anions, seeding, and addition of 1-anilinonaphthalene-8-sulfonic acid (ANS), urea, TMAO, sucrose, and ThT on the kinetics of fibrillation was investigated. The kinetics of the fibrillation process could be described by the lag time for formation of stable nuclei (nucleation) and the apparent rate constant for the growth of fibrils (elongation). The addition of seeds eliminated the lag phase. An increase in insulin concentration resulted in shorter lag times and faster growth of fibrils. Shorter lag times and faster growth of fibrils were seen at acidic pH versus neutral pH, whereas an increase in ionic strength resulted in shorter lag times and slower growth of fibrils. There was no clear correlation between the rate of fibril elongation and ionic ...
1,096 citations
••
TL;DR: Hydrodynamical simulations in a framework assuming the presence of CDM and a cosmological constant are reported in which the inhomogeneous interstellar medium is resolved and the analogues of dwarf galaxies—bulgeless and with shallow central dark-matter profiles—arise naturally in these simulations.
Abstract: For almost two decades the properties of ‘dwarf’ galaxies have challenged the cold dark matter (CDM) model of galaxy formation^1. Most observed dwarf galaxies consist of a rotating stellar disk^2 embedded in a massive dark-matter halo with a near-constant-density core^3. Models based on the dominance of CDM, however, invariably form galaxies with dense spheroidal stellar bulges and steep central dark-matter profiles^(4,5,6,) because low-angular-momentum baryons and dark matter sink to the centres of galaxies through accretion and repeated mergers^7. Processes that decrease the central density of CDM halos^8 have been identified, but have not yet reconciled theory with observations of present-day dwarfs. This failure is potentially catastrophic for the CDM model, possibly requiring a different dark-matter particle candidate^9. Here we report hydrodynamical simulations (in a framework^(10) assuming the presence of CDM and a cosmological constant) in which the inhomogeneous interstellar medium is resolved. Strong outflows from supernovae remove low-angular-momentum gas, which inhibits the formation of bulges and decreases the dark-matter density to less than half of what it would otherwise be within the central kiloparsec. The analogues of dwarf galaxies—bulgeless and with shallow central dark-matter profiles—arise naturally in these simulations.
1,095 citations
••
TL;DR: In this article, the authors studied the probability that a setJ consisting of a finite union of intervals contains no eigenvalues for the finite N Gaussian Orthogonal (β = 1) and Gaussian Symplectic (β= 4) ensembles and their respective scaling limits both in the bulk and at the edge of the spectrum.
Abstract: The focus of this paper is on the probability,Eβ(O;J), that a setJ consisting of a finite union of intervals contains no eigenvalues for the finiteN Gaussian Orthogonal (β=1) and Gaussian Symplectic (β=4) Ensembles and their respective scaling limits both in the bulk and at the edge of the spectrum. We show how these probabilities can be expressed in terms of quantities arising in the corresponding unitary (β=2) ensembles. Our most explicit new results concern the distribution of the largest eigenvalue in each of these ensembles. In the edge scaling limit we show that these largest eigenvalue distributions are given in terms of a particular Painleve II function.
1,083 citations
Authors
Showing all 15733 results
Name | H-index | Papers | Citations |
---|---|---|---|
David J. Schlegel | 193 | 600 | 193972 |
David R. Williams | 178 | 2034 | 138789 |
John R. Yates | 177 | 1036 | 129029 |
David Haussler | 172 | 488 | 224960 |
Evan E. Eichler | 170 | 567 | 150409 |
Anton M. Koekemoer | 168 | 1127 | 106796 |
Mark Gerstein | 168 | 751 | 149578 |
Alexander S. Szalay | 166 | 936 | 145745 |
Charles M. Lieber | 165 | 521 | 132811 |
Jorge E. Cortes | 163 | 2784 | 124154 |
M. Razzano | 155 | 515 | 106357 |
Lars Hernquist | 148 | 598 | 88554 |
Aaron Dominguez | 147 | 1968 | 113224 |
Taeghwan Hyeon | 139 | 563 | 75814 |
Garth D. Illingworth | 137 | 505 | 61793 |