Institution
University of Colorado Boulder
Education•Boulder, 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 published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
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Yi Chen | 217 | 4342 | 293080 |
Robert J. Lefkowitz | 214 | 860 | 147995 |
Rob Knight | 201 | 1061 | 253207 |
Charles A. Dinarello | 190 | 1058 | 139668 |
Jie Zhang | 178 | 4857 | 221720 |
David Haussler | 172 | 488 | 224960 |
Bradley Cox | 169 | 2150 | 156200 |
Gang Chen | 167 | 3372 | 149819 |
Rodney S. Ruoff | 164 | 666 | 194902 |
Menachem Elimelech | 157 | 547 | 95285 |
Jay Hauser | 155 | 2145 | 132683 |
Robert E. W. Hancock | 152 | 775 | 88481 |
Robert Plomin | 151 | 1104 | 88588 |
Thomas E. Starzl | 150 | 1625 | 91704 |
Rajesh Kumar | 149 | 4439 | 140830 |