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Institution

University of Colorado Boulder

EducationBoulder, Colorado, United States
About: University of Colorado Boulder is a education organization based out in Boulder, Colorado, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 48794 authors who have published 115151 publications receiving 5387328 citations. The organization is also known as: CU Boulder & UCB.
Topics: Population, Galaxy, Poison control, Solar wind, Stars


Papers
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Journal ArticleDOI
TL;DR: A simple neuronal model capable of superimposing multiple memory traces within the same matrix of connections is outlined, and the correspondence between such models and the properties of LTE in the context of the hippocampal circuitry in which it occurs is considered.

1,254 citations

Journal ArticleDOI
07 Dec 2010-PLOS ONE
TL;DR: A versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations, which will enable the discovery of novel biomarkers in a manner that is unencumbered by the incomplete knowledge of biology, thereby helping to advance the next generation of evidence-based medicine.
Abstract: Background The interrogation of proteomes (“proteomics”) in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology and medicine.

1,245 citations

Journal ArticleDOI
TL;DR: It is demonstrated that major depressive disorder is reliably associated with impaired performance on neuropsychological measures of EF, and the results are consistent with the theory that MDD is associated with broad impairment in multiple aspects of EF.
Abstract: Cognitive impairments are now widely acknowledged as an important aspect of major depressive disorder (MDD), and it has been proposed that executive function (EF) may be particularly impaired in patients with MDD. However, the existence and nature of EF impairments associated with depression remain strongly debated. Although many studies have found significant deficits associated with MDD on neuropsychological measures of EF, others have not, potentially due to low statistical power, task impurity, and diverse patient samples, and there have been no recent, comprehensive, meta-analyses investigating EF in patients with MDD. The current meta-analysis uses random-effects models to synthesize 113 previous research studies that compared participants with MDD to healthy control participants on at least one neuropsychological measure of EF. Results of the meta-analysis demonstrate that MDD is reliably associated with impaired performance on neuropsychological measures of EF, with effect sizes ranging from 0.32 to 0.97. Although patients with MDD also have slower processing speed, motor slowing alone cannot account for these results. In addition, some evidence suggests that deficits on neuropsychological measures of EF are greater in patients with more severe current depression symptoms, and those taking psychotropic medications, whereas evidence for effects of age was weaker. The results are consistent with the theory that MDD is associated with broad impairment in multiple aspects of EF. Implications for treatment of MDD and theories of EF are discussed. Future research is needed to establish the specificity and causal link between MDD and EF impairments.

1,243 citations

Journal ArticleDOI
TL;DR: Serac, software developed to evaluate the ability of each method to quantify relative changes in protein abundance is described, with overall spectral counting proved to be a more sensitive method for detecting proteins that undergo changes in abundance, whereas peak area intensity measurements yielded more accurate estimates of protein ratios.

1,241 citations

Journal ArticleDOI
TL;DR: Yt, an open source, community-developed astrophysical analysis and visualization toolkit, is presented and its methods for reading, handling, and visualizing data, including projections, multivariate volume rendering, multi-dimensional histograms, halo finding, light cone generation, and topologically connected isocontour identification are reported.
Abstract: The analysis of complex multiphysics astrophysical simulations presents a unique and rapidly growing set of challenges: reproducibility, parallelization, and vast increases in data size and complexity chief among them. In order to meet these challenges, and in order to open up new avenues for collaboration between users of multiple simulation platforms, we present yt (available at http://yt.enzotools.org/) an open source, community-developed astrophysical analysis and visualization toolkit. Analysis and visualization with yt are oriented around physically relevant quantities rather than quantities native to astrophysical simulation codes. While originally designed for handling Enzo's structure adaptive mesh refinement data, yt has been extended to work with several different simulation methods and simulation codes including Orion, RAMSES, and FLASH. We report on its methods for reading, handling, and visualizing data, including projections, multivariate volume rendering, multi-dimensional histograms, halo finding, light cone generation, and topologically connected isocontour identification. Furthermore, we discuss the underlying algorithms yt uses for processing and visualizing data, and its mechanisms for parallelization of analysis tasks.

1,238 citations


Authors

Showing all 49233 results

NameH-indexPapersCitations
Yi Chen2174342293080
Robert J. Lefkowitz214860147995
Rob Knight2011061253207
Charles A. Dinarello1901058139668
Jie Zhang1784857221720
David Haussler172488224960
Bradley Cox1692150156200
Gang Chen1673372149819
Rodney S. Ruoff164666194902
Menachem Elimelech15754795285
Jay Hauser1552145132683
Robert E. W. Hancock15277588481
Robert Plomin151110488588
Thomas E. Starzl150162591704
Rajesh Kumar1494439140830
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023164
2022779
20216,286
20206,493
20196,063
20185,522